You're polluting the world with AI Workslop and you don't even know it. 🗑️

In a world were everything is free and fake -- or, AI -- it's easy to just throw unlimited spaghetti at the wall and see what sticks. 

But there's a downside in just blindly rubber stamping those generic outputs from LLMs. And it's worse than the workslop epidemic. It's losing trust. 

So, how can your company survive and thrive in an AI world where everything is fake? 

Tune in and find out. 

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Topics Covered in This Episode:

AI Trust Crisis and Consumer SkepticismDeepfakes, Fraud, and AI-generated ContentWorkslop: Rise of Generic AI OutputsHuman Expertise vs. Fully Automated AIAI Content Detection and Liar’s DividendElevating Human Oversight in AI WorkflowsExpert-Driven Loops vs. Human-in-the-LoopAuditing Business Outputs for AI WorkslopDomain Expertise in AI Context EngineeringRoadmap to Fight AI Workslop with Humans

Timestamps:

00:00 "Navigating AI-Driven Distrust"

04:01 AI, Jobs, and Fake Realities

06:35 "AI vs Expert Content Quality"

10:09 AI-Driven Online Interaction Surge

14:41 "Trust Fading in Imperfect Brands"

16:31 "AI Literacy: Bridging the Gap"

19:18 "Elevating Expertise in AI Workflows"

22:58 "Context Engineering for Domain Expertise"

28:11 AI's Impact on Blog Quality

29:21 "Fighting AI Work Slop"

32:40 "Everyday AI: Join & Explore"

Keywords: 

AI-generated content, everything is fake, AI workslop, work slop, AI slop, trust crisis, deepfakes, synthetic media, fake landing pages, fake customer service, AI-enabled fraud, voice cloning, agentic AI, discourse bots, domain expertise, human expertise, context engineering, content detection,

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Pop quiz: If your company's agents go off the rails, can you confidently name the human at fault in 10 seconds? 

Prolly not. 

Because lately, companies have spent more energy on going fast and breaking things instead of governance. 

Ready for the ironic part? People think AI governance slows you down. But, it actually speeds you up. 

Join us as we give you the 101 on AI Governance and the 5 AI Rules Every Company Needs to Follow. 

AI Governance in Plain English: 5 AI Rules Every Company Needs to follow -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

AI Governance Explained in Plain EnglishWhy AI Governance Matters for CompaniesDeloitte AI Governance Statistics BreakdownChallenges in Governing Rapidly Evolving AIReal-World Lawsuits from Ungoverned AIU.S. vs. EU AI Governance Laws OverviewFive Essential AI Governance RulesShadow AI and AI Tool Inventory RisksClassifying AI Tools by Risk LevelAssigning Clear Ownership of AI SystemsWriting Playbooks Versus Policy DocumentsGovernance as an AI Scaling EngineImportance of Monthly AI Governance Reviews

Timestamps:

00:00 "AI Governance Gap Insights"

05:56 "AI Governance Challenges Today"

09:03 "AI Governance Matters More Now"

11:57 AI Governance Showdown Looms

16:23 Optimizing AI Use in Organizations

19:21 "Classify and Assess Risk Levels"

21:32 "Clear Accountability for Crashes"

25:14 "AI Use Responsibility Retained"

29:42 "AI Governance: Stay Adaptive Daily"

31:09 "AI Adoption Made Easy"

Keywords: 

AI governance, AI rules, artificial intelligence governance, AI risk management, operational AI governance, agentic AI, autonomous AI, AI use cases, AI adoption, AI inventory, shadow AI, shadow AI breaches, AI sprawl, AI tools, AI transformation, AI policy, AI playbooks, risk classification, AI risk tiers, unacceptable risk, high risk AI, minimal risk AI, limited risk AI, human review in AI, AI agent crash, clear ownership in AI, cross functional committee, AI responsibility, domain expertise, AI user, data breaches, ROI on AI, AI impact tracking, AI training, scaling AI governance

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40,000+ AI-linked job cuts in two weeks. 😬

But AI is also supposed to create millions of new jobs.

So are we watching traditional work slowly die while the replacements don't exist yet?

And did we really spend decades building expertise just to babysit AI agents that are smarter and faster than us?

Join us live to find out.

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Topics Covered in This Episode:

 AI-Driven Job Cuts and Layoffs AnalysisThe AI Labor Shift: Timeline PredictionsBig Tech AI Infrastructure InvestmentsAI as Layoff Scapegoat and "AI Washing"Capability Gap: AI Use vs. PotentialRoles Most at Risk in AI Labor ShiftCodified vs. Tacit Knowledge Job ImpactThree-Step Survival Guide for AI CareersDomain Expertise Plus AI Skills PremiumNew AI Job Roles and Emerging Opportunities

Timestamps:

00:00 "AI Jobs, Investments, and Displacement"

06:18 AI's Impact on Jobs

08:20 "AI Layoffs and Overhiring"

11:36 Driving AI Value with Section

16:00 AI's Workforce Impact Gap

18:25 "AI Impact on Work Dynamics"

20:25 AI-Driven Workflows Mainstream by 2030

24:25 "AI Impact on Job Security"

27:47 "Emerging AI Roles and Expertise"

31:17 "Surviving the AI Labor Shift"

33:38 "Boost AI Adoption with Section"

Keywords: 

AI labor shift, AI job displacement, AI and employment, AI job loss, AI job creation, traditional employment decline, future of work, AI workforce transformation, AI layoffs, tech layoffs,

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Who will win the AI race in 2026? 🏇

Will Google finally catch OpenAI in users? 

Has Claude surpassed ChatGPT in capabilities? 

And.... how can your company avoid the AI battles and just pick its lane? 

So many AI questions. We've got your AI answers. 

As part of our ongoing 'Start Here Series' we tackle one of the most important questions for most enterprises: Who will win the AI race and how do you decide? 

The State of the AI Race. Who will win in 2026: OpenAI, Microsoft, Google Or Anthropic -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

AI Race 2026: OpenAI, Microsoft, Google, AnthropicChatbot Era Ending: Rise of Agentic SystemsOpenAI vs Google vs Anthropic User StatsLarge Language Model Benchmark ComparisonsEnterprise AI Adoption TrendsAgentic Workflow Automation: Business ImpactsMicrosoft Copilot and Governance FeaturesAnthropic Claude’s Premium Intelligence Integration

Timestamps:

00:00 "2026 AI Race Predictions"

04:01 "AI's Daily Driver Era Arrives"

08:31 AI Revenue and IPO Trends

10:10 "Revenue Success with Fewer Users"

13:42 AI Integration and Market Impact

19:49 Microsoft's Role in OpenAI Investments

21:00 "Microsoft vs Google: AI Investments"

26:42 "Anthropic's Focus on Specialized AI"

30:34 Microsoft Copilot's AI Evolution

31:28 Microsoft Copilot: CEO's Hands-On Vision

35:13 AI Coding Models Market Trends

38:44 "Modular AI for Enterprise Success"

42:06 "Everyday AI: Subscribe Now"

Keywords: 

AI race, state of AI 2026, OpenAI, Microsoft, Google, Anthropic, enterprise AI, consumer AI, agentic systems, AI workflow, large language models, multimodal AI, Gemini, ChatGPT, Copilot, Claude, Claude Opus, Claude SONNET, AI operating system, AI agent,

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Why can't most companies show their ROI on GenAI? 

Because their implementation is backwards.

If you're using the same digital transformation playbook that you used for the social media and cloud eras, you're in trouble. 

On this 'Start Here Series' episode, we break down what your company is doing wrong and the 7 Step process to properly calculate ROI on your AI efforts. 

Measuring AI ROI: Why you’re doing it wrong and the 7 Steps to fix it -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Proving and Measuring AI ROI in CompaniesOpenAI’s GDP Benchmark: AI vs ExpertsDebunking MIT’s Viral Zero ROI StudyQuantitative AI ROI Data from Business StudiesInvisible Productivity: AI Savings Pocketed by WorkersLimitations of Pre-AI Job Roles and MetricsROI Calculation: Time Saved and Cost ReductionFive Main Reasons AI ROI Isn’t MeasuredSeven-Step AI ROI Measurement BlueprintImportance of Ongoing AI Model RetestingAI ROI: Training, Education, and Implementation Gaps

Timestamps:

00:00 "AI ROI: Fixing the Debate"

04:50 "AI ROI Debate is Pointless"

08:03 AI Implementation Yields Positive ROI

12:13 AI Reshaping Work Structures

15:08 AI ROI Challenges

20:11 "Baseline Assessment Before AI Implementation"

23:49 "AI Operating System Discussion"

24:35 "Standardized Testing for AI Models"

28:26 "Rethink AI ROI Urgency"

31:37 "Everyday AI: Subscribe & Explore"

Keywords: 

measuring AI ROI, AI return on investment, generative AI ROI, GenAI ROI measurement, ROI on artificial intelligence, AI productivity, time saved with AI, cost reduction with AI, AI-driven revenue increase, AI risk avoidance, AI implementation, baseline assessment of AI, BASE framework, pre-AI baseline, digital transformation and AI, quality metrics in AI, cost per task AI, error rates AI, throughput AI, AI utilization rate, AI pilot evaluation, AI business impact, AI model benchmarks, 

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If your entire company was using ChatGPT in 2022.... good chance you ended up in some trouble. 😬

Now if you're company is NOT using AI in 2026.... you'll definitely be in trouble. 

But a different kind. 

That's how quickly AI has changed the business landscape. What was once a megaviral party trick in 2022 is not the lifeblood of the American Enterprise. 

So.... how the heck did it happen so fast? 

In our 10th volume of the 'Start Here Series,' we break it all down. 

From AI Chatbot to Autonomous Coworkers: How Consumer AI Has Changed and What's Next - An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Five Phases of AI-Enabled WorkFrom Chatbots to Autonomous AI CoworkersLarge Language Models Evolution TimelineBusiness Chat AI and Team IntegrationAgentic AI Era—Models with ReasoningDesktop AI Agents and Local File AccessSecurity and Governance for Desktop AIScheduling Layer in AI AgentsKey AI Agent Products and ComparisonsActionable Strategies for AI Implementation

Timestamps:

00:00 From Chatbot to Autonomous Coworker

03:14 AI's Desktop Agent Revolution

06:47 AI Phases and Overlap Explained

10:55 "Early AI Models Were Ineffective"

13:51 AI Transforming Work by 2025

17:14 "Shift to New Era AI"

21:20 "AI Agents Controlling Computers"

24:11 "OpenAI's Multi-Agent Claude Launcher"

28:21 "Future of AI in Business"

30:21 "Proactive AI Revolutionizing Work"

Keywords: 

AI chatbot, autonomous coworker, consumer AI, five phases of AI-enabled work, AI agents, desktop AI, agentic era, business chat, scheduling AI, scheduled tasks, large language models, generative AI, ChatGPT, November 2022 AI launch, Microsoft Copilot, Anthropic Claude, Google Gemini, reasoning models, agentic browsers, AI coworkers, virtual AI agents, Codex, Claude Cowork, Claude Code, 

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The perfect AI storm happened, and no one has noticed yet. 😬

And when everyone finally realizes, they'll be too busy focused on the shiny new AI capabilities to see the straight up agentic nightmare looming right in front of them. 

I'll be honest though. 

↳ Yeah, there's a dark side to AI agents. 
↳ Yeah, it's worse than you think. 
↳ Yeah, we're gonna talk about. 


Agent Risk, Security, and AI Sprawl in 2026: Why AI That Acts Changes Everything – An Everyday AI Chat with Jordan Wilson (Start Here Series Volume 9)

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Topics Covered in This Episode:

Evolution of AI Agent Risk (2022-2026)Agentic AI Security Threats ExplainedTypes of Agent Sprawl & Dark AIKey Differences: Chatbot vs Agent RiskMajor AI Labs' Risk Response StrategiesAgent Actions, Outputs, and Enterprise RiskMonday Morning Playbook for AI SecurityAgent Skill Marketplace & Supply Chain Risk

Timestamps:

00:00 AI Risks: A Rapid Evolution

06:22 "Applying Buzzwords to Practice"

07:31 AI Evolution: Dumb to Proactive

13:23 "Expanding Blast Radius with Tools"

14:04 "AI Actions: Enterprise Nightmare"

17:16 "Start Here: AI Basics"

22:50 "Agentic Web and Business Value"

24:09 "Advances Driving AI Agent Efficiency"

27:30 AI Labs: Balancing Risk and Research

32:04 "Autonomous AI Model Concerns"

33:43 "Managing Autonomous Agent Risks"

37:08 "Foundations First for Future Success"

41:00 "Understanding Risks and Opportunities"

Keywords: 

AI risk, agent risk, security risk, AI sprawl, AI agents, agentic AI, AI model actions, business AI risk, corporate AI security, agent risk mental model, OpenAI, Google, Anthropic, Microsoft, governance, audit logs, isolation protocols, agentic capabilities, smart AI models, proactive AI, autonomous agents, agent hallucination, rogue AI agents, prompt injection, malware agents, spyware agents, ransomware agents, agent input risk, tools risk, outputs to actions, enterprise AI nightmare, shadow AI, 

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AI Agents. AI Agents everywhere. 🪐

For what seems like an eternity, we've been hearing about how AI agents were going to do everything. (In a good and bad way) 

But it never really happened. 

Until now. 

Today, AI agents are more important than ever. But... the questions are still legit plentiful. 

 ↳ What actually is an AI agent? 
 ↳ How do they work? 
 ↳ And what are the best ways to implement them? 

We'll tackle those questions and more, LIVE. 

AI Agents in 2026 Explained: What They Are and When You Should Use Them -- An Everyday AI Chat with Jordan Wilson (Starter Series, Vol 8)

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Topics Covered in This Episode:

AI Agents 2026: Definition & OverviewAI Agents vs Traditional AI ChatbotsCurrent State of AI Agents in EnterprisesAI Agent Adoption Statistics & Market TrendsKey Differences: Workflow Automation vs AI AgentsTypes of AI Agents: Task, Process, DecisionAutonomous vs Passive AI Agents ExplainedReal-World Risks: Security & Shadow AI ToolsAI Agent Use Case Decision FrameworkBest Practices: Starting AI Agent PilotsMeasuring AI Agent ROI & PerformanceBuilding Effective Agent Ecosystems

Timestamps:

00:00 "Join Our Inner Circle"

05:29 "Understanding AI Agents"

08:41 "Autonomous Agents as Workers"

11:04 Agentic AI: Decisions and Challenges

17:00 "Shadow AI Poses Growing Risks"

18:00 "Agent Creativity and Loopholes"

22:04 "Agentic Transactions and AI Workflows"

25:27 "Getting Started with AI Agents"

27:20 "Future Success in AI Agents"

Keywords: 

AI agents, autonomous agents, agentic AI, multi-agent systems, AI agent definition, agentic models, autonomous systems, AI chatbots, AI-powered workflows, decision frameworks for AI agents, enterprise AI adoption, agent guardrails, AI task automation, passive agents, bounded autonomy, agent observability, agent traceability, agentic first workflow, AI delegation, sub-agents, tool-using AI,

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How did prompt engineering die so quickly? ☠️

And what the heck does context engineering even mean? 

One of the trickiest things about LLMs is they're changing daily, yet they're the engines that drive business results. 

But if the engine is constantly changing, then you also have to change how you drive and the roads you take. 

That's why we're tackling context engineering in this installment of our Start Here Series, the essential beginners guide to understanding AI basics and growing your skills. 

Context Engineering: How to Get Expert-Level Outputs From AI Chatbots -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Evolution from Prompt to Context EngineeringWhy Prompt Engineering Is Now ObsoleteDefining Context Engineering in AI ChatbotsSix-Part Framework for Context EngineeringFour Layer System for Structuring AI ContextBuilding Reusable Context Vaults and SkillsConnecting Business Data to AI ModelsTechniques to Achieve Expert-Level AI OutputsImportance of Context Windows in Large Language ModelsContext Engineering Best Practices and Scalability

Timestamps:

00:00 "Access AI Community & Tools"

03:08 "Mastering Context in AI"

07:23 "Smart Models Require Less Precision"

12:01 "Context Engineering Beats Prompt Engineering"

15:49 "AI Context: Six Key Blocks"

16:47 "Building Context for Better Results"

19:53 "AI: Training, Not Easy Button"

25:17 "Chain of Thought Prompting Decline"

29:11 "Show, Don't Tell Techniques"

32:13 "Context, Reuse, and Scalable Systems"

33:19 "AI Chatbots: Memory and Skills"

Keywords: 

context engineering, AI chatbots, expert level outputs, prompt engineering, large language models, business context, AI models, custom instructions, data access, context window, prime prompt polish, reusable context vaults, context vaults, skills file, memory enabled models, ChatGPT, Claude, Google Gemini, Microsoft Copilot, connectors, apps, searchable index, business data, personalized AI, context clues, reference material, examples, procedures, evaluation rubric, chain of thought prompting, generative AI, nondeterministic behavior, show don’t tell technique, few shot examples, rubric first technique, grading criteria, output quality, scalable AI systems,

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Like 99% of companies are pushing AI. 🚀

But like 0.01% are actually training their people on it. 🤦

Don't worry. We'll go over the essentials on how to get started training your team or getting your company trained on best practices for using AI in your day-to-day. 

First step to solving the AI implementation gap starts here. 

How to Train Your Team on AI: The 7 Steps to Educate Your Organization on LLMs -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

AI Training Adoption Gap in OrganizationsSeven Steps to Train Teams on AIImportance of Leadership in AI AdoptionFixing Broken Workflows Before AI IntegrationChoosing and Committing to One AI PlatformTraining Employees in Three AI Knowledge LayersDocumenting Procedures for AI ImplementationMandating Hands-On AI Practice and OutputsTransitioning Teams from AI Operators to Orchestrators

Timestamps:

00:00 "AI Spending, Training Gap Looms"

05:48 "Embracing AI-First Leadership"

08:43 "Choosing Between AI Copilots"

10:22 "Unified AI Operating System Strategy"

14:46 Partnering for Generative AI Success

18:40 "Document Processes for AI Workplaces"

19:58 "AI OS for Decision Trees"

24:56 "Future Jobs: Orchestrating Tasks"

27:33 "Training Teams on AI"

Keywords: 

AI training, large language models, corporate AI adoption, AI literacy, AI education, team AI training, employee AI training, organization AI strategy, AI workflows, workflow optimization, AI platform selection, AI operating systems, Microsoft 365 Copilot, ChatGPT Enterprise, Google Gemini, Anthropic Claude, shadow IT, AI tool sprawl, data documentation, procedure documentation, unstructured data, domain-specific AI training, AI upskilling, AI reskilling, hands-on AI practice, AI hackathon, change management, cultural adoption, AI leadership, CEO AI usage, champion teams, department AI training, AI ROI, measurable AI outputs, AI orchestration, operator to orchestrator, expert-driven workflows, AI agent, AI mindset shift, AI native workplace, AI best practices, AI adoption gaps, enterprise AI maturity

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Let's talk about the AI elephant in the room: hallucinations. 🐘

Maybe hallucinations are the reason your company has been hesitant on AI. 

But here's the thing, y'all. If you know what you're doing, hallucinations are largely manageable. 

But first, you gotta understand what they are, how they happen, and how to reduce the risk. 

Let's get started cutting down hallucinations together. 

AI Hallucinations: What they are, why they happen, and the right way to reduce the risk (Start Here Series Vol 5) -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

AI Hallucinations Definition and CausesLarge Language Models' Hallucination MechanismsHallucination Types: Fabricated Claims & SourcesModel Improvements Reducing Hallucination RateContext Window Impact on AI AccuracyAI Hallucinations in Legal and Enterprise SettingsFour-Layer Method for Minimizing HallucinationsCustom Instructions and Retrieval-Augmented GenerationExpert-Driven Verification and Agent Safety Practices

Timestamps:

00:00 "Modulate's Velma: Smarter AI Insights"

03:18 "Reducing AI Hallucinations Explained"

08:36 "Minimizing AI Hallucinations with Skill"

12:30 "Model Retention and Recall Decline"

13:23 AI Advances: Improved Accuracy and Recall

19:24 "AI Hallucinations and Their Causes"

21:07 "Customizing AI Behavior Effectively"

24:47 "Connecting Data to Reduce Hallucinations"

28:47 "AI Oversight and Expert Input"

30:56 "Reducing AI Hallucinations Simplified"

Keywords: 

AI hallucinations, large language models, next token prediction, AI error, human error, fabricated claims, reinforcement learning with human feedback, context window, context engineering,

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Spending more time fixing your AI outputs then you're saving? 

You're not alone. 

The trap? 

You're in operator mode. Falling for the industry status quo like upskilling and human-in-the-loop. 

The real winners in the AI race? 

Companies that have changed the human-AI relationship. 

How? 

Join us for Volume 4 of our Start Here Series as we uncover what you need to know. 

Human-AI Collaboration: Best practices for working alongside AI -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Human-AI Collaboration Best Practices 2026Shift from Operator to Orchestrator RolesHuman-in-the-Loop Limitations ExplainedExpert-Driven AI Review Loops vs. Generic OversightOrchestrating AI Agents for Business ProductivityBuilding Reusable AI Context and SkillsElevating AI Champions on TeamHuman Strengths vs. AI Strengths in WorkflowsAvoiding Augmentation Debt and Workflow PitfallsMindset Shifts for Effective AI Management

Timestamps:

00:00 "Everyday AI: Start Here"

03:23 "AI Shift: Operator to Orchestrator"

06:35 "Unlearn to Harness AI"

11:15 "AI Surpassing Human Collaboration"

15:11 Expert-Driven AI Process Loops

18:10 "Expert Collaboration Boosts AI ROI"

23:59 "Outsmarting AI Through Expertise"

26:30 "Navigating AI Success Strategies"

31:19 "Embrace AI, Elevate Your Team"

32:18 "Embrace AI, Elevate Humanity"

Keywords: 

Human-AI collaboration, AI best practices, working alongside AI, human-AI relationship, AI orchestration, AI orchestrator, shift from operator to orchestrator, agentic workflows, AI agents, digital agents, expert-driven loops, expert oversight, senior partners with AI, context engineering, AI processes, context vaults, AI skills files, company data, chain of thought review, large language models, AI-powered workflows, AI expertise, AI in business, AI productivity, AI risk management, human in the loop, upskilling, reskilling, unlearning, AI mindset shift, augmented intelligence, multi-agent systems, AI automation, organization AI strategy, context quality, AI champion, domain experts, AI team integration, competitive advantage with AI, process redesign for AI, AI-powered decision making, accountability in AI, empathy in AI, ambiguous decision-making, novel judgment.

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One of the biggest mistakes in AI? 

Thinking that your company's AI use is noteworthy. Or, even a competitive advantage. 

It's not. 

We break it down in Volume 3 of our 'Start Here Series.' 

AI as an Operating System: LLMs Are the Internet Now -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

AI As An Operating System ExplainedLarge Language Models Replace Traditional AppsAI Integration in Knowledge Work PlatformsChoosing the Right AI Operating SystemMicrosoft Copilot vs. Google Gemini vs. Claude vs. ChatGPTAgentic Browsers Powering Autonomous WorkflowsModel Context Protocol (MCP) for AI AgentsOrchestration Layer and Agent CollaborationChatGPT Apps Merging AI and InternetEnterprise Data Integration with AI ToolsContext Switching Reduction Through AI AgentsStrategic AI Adoption and Platform Redundancy

Timestamps:

00:00 "AI: A New Operating System"

03:58 "AI Transforming Work Interfaces"

06:41 "Collaborating in AI-Native Workspaces"

12:25 Anthropic's Innovations in AI Tools

13:46 "OpenAI's Strategy and Market Focus"

18:02 "Cognitive Evolution Through AI"

20:57 "Agentic Browsers: Key 2025 Advancement"

25:12 Improving Content Through Data Insights

26:42 "Anthropic's MCP: The AI Connector"

32:19 "AI Tools for Productivity Integration"

34:20 "AI: Unlocking Context and Efficiency"

36:32 AI Governance and System Portability

39:35 "AI Operating System Insights"

Keywords: 

AI operating system, large language models, LLMs, AI as infrastructure, enterprise AI, AI adoption, agentic workflows, AI agents, orchestration layer, Copilot, Microsoft 365 Copilot, Google Gemini, Gemini business, Gemini enterprise, Anthropic Claude, Claude cowork, MCP, model context protocol, OpenAI, ChatGPT, ChatGPT apps, ChatGPT business, ChatGPT enterprise, AI native, dynamic data integration, productivity with AI, collaboration tools, agentic browsers, autonomous AI agents, context window, memory and personalization, expert-driven loops, app hop tax, context switching, AI integration in business, AI tools for teams, AI platform selection, data governance, modular AI workflows, permissions and audit logs, backup and redundancy in AI, competitive advantage with AI, 

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The AI gap will kill companies.

What is it? 

it's the large divide between AI's crazy impressive capabilities and what most companies are actually using them for. 

And one of the biggest reasons for the AI gap? 

Talking. 

Like... no one understands how to talk about AI because the technology changes faster than Usain Bolt in Beijing. 

You wanna talk to your AI team about LLMs? 

PFT. They're running Ralph Wiggum loops in Claude Code and just kinda reading the code before it hits production. 

Yeah, the divide is WIIIIIDE. 

So we're gonna tackle it together on the second volume of our Starter Series: AI Without the Jargon: The AI Language Every Business Leader Needs to live by in 2026 -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

AI Jargon Barrier for Business LeadersGenerative AI Basics and Lingo BreakdownChatGPT, Claude, and Gemini Model ComparisonUnderstanding Tokens and Context WindowsLarge Language Models: Prompt to OutcomeParameters, Model Power, and Cost ImplicationsRetrieval Augmented Generation (RAG) ExplainedEmbeddings, Vector Databases, and ChunkingAgentic Models vs. Transformer ModelsAI Risks: Hallucinations, Prompt Injection, GuardrailsModel Context Protocol (MCP) and ConnectorsScaffolding for Complex AI WorkflowsAI Success: ROI, Risk, and Implementation Strategies

Timestamps:

00:00 "Join Start Here Series Community"

03:21 Bridging AI and Business Leaders

09:35 Partnering for Generative AI Success

12:26 "AI Models Operate Using Tokens"

15:41 "Shift to Smaller AI Models"

18:56 "Understanding RAG and Its Impact"

22:38 "AI Tools Connecting via MCP"

24:56 "Minimizing AI Hallucinations Effectively"

28:45 "Fast, Careful AI Implementation"

30:53 "AI Guide for Business Leaders"

Keywords: 

AI language, AI jargon, artificial intelligence terminology, AI lingo, large language model, generative AI, prompt engineering, context engineering, context window, tokens, tokenization, model architecture, model parameters, neural network connections, 

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Have you ever felt overwhelmed by AI? 

Like…. There’s certain aspects of Artificial intelligence that you barely understand to begin with, yet you’re expected to use it AND it’s changing every day? 

I understand where you’re coming from. It’s literally my only job to use, build with and teach AI every day and that’s all I’ve done now for 3 years, and even I find it hard to keep up. 

But don’t worry. 

That’s where the ‘Start Here Series’ comes into play. 

If one of your focuses is better understanding AI in 2026 or if you're an expert looking to double down, this Start Here Series is for you. 

In our first volume, we're going back to the basics. Generative AI: How it works and why it matters in 2026 more than ever -- An Everyday AI Chat. with Jordan Wilson.

Other Start Here Series Episodes

Ep 691: Generative AI: How it works and why it matters in 2026 more than ever (Start Here Series Vol 1)

(In the future, we'll update with other 'Start Here Series' episodes)

Start Here Series Community Sign up: Follow the Start Here Series with free access to our Inner Circle Community
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Website: YourEverydayAI.com
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Topics Covered in This Episode:

Generative AI Basics and 2026 ImpactExplosive Growth of Large Language ModelsAI Adoption Rates in EnterprisesAI Agents and Operating Systems OverviewHistory and Evolution of Artificial IntelligenceTransformer Architecture and Model BreakthroughsHow Large Language Models WorkModern AI Capabilities: Multimodal ToolsQuantifying ROI for Generative AI InvestmentWorkforce Disruption and Future Job TrendsScaling AI: From Pilot to Enterprise-WideUrgency for AI Upskilling and Competitive Advantage

Timestamps:

00:00 "Start Here: AI Guide Series"

04:10 "Join Our Free Community"

09:17 "AI Operating Systems for Businesses"

11:05 "Partner with Everyday AI"

13:00 "AI Evolution Over Decades"

16:34 "ChatGPT's Transformative Impact"

22:17 "Generative AI and Memory Evolution"

26:03 "AI Delivers Exponential ROI"

29:59 "AI Demand Surges, Hiring Drops"

32:15 "AI Transforming CRMs Rapidly"

35:01 "AI Fluency Demands Urgency"

Keywords:

Generative AI, artificial intelligence, large language models, transformer architecture, GPT, ChatGPT, 

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ChatGPT can do what now? 😱

This week's AI updates were low key bangers and under-the-radar model releases. 

ChatGPT's latest update allows it to remember and recall anything you've done on your computer. 

Google's Gemini Flash is actually fast AND cheap again. And a lot smarter. 

And Anthropic is bringing a bit more power to its Claude Chrome extension. 

If you take a week off from your favorite AI tools, you might come back and feel kinda lost. That's what our AI Friday Features show tackles: the latest updates that are available today to immediately upgrade your work. 

ChatGPT Computer History, New Gemini Model, Claude Flexes on the Browser and 7 more AI updates you should use Today -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Gemini 3.7 Flash Price and Speed DropGemini Spark Coding Agent ImprovementsGLM 5.3 Coding Model Cybersecurity BenchmarkGLM 5.3 Open Weights Release TimelineGrok 4.6 Model vs GPT-5.6 PerformanceGrok 4.6 in Cursor and Developer AccessGoogle Sheets Canvas Interactive Dashboard FeatureClaude CoWork Chrome Browser IntegrationClaude CoWork Sync and Web AutomationChatGPT Ultra Fast API Speed Tier LaunchChatGPT Cerebras Chip Partnership DetailsChatGPT & Codex Computer History for MacComputer History Workflow Completion Automation

Timestamps:

00:00 Rapid AI advancements and price drops

06:06 Introducing Gemini 3.7 Flash

09:24 GLM 5.3 model updates

13:02 Improvements in Chinese AI models

16:11 GROC 4.6 impact on pricing

18:51 Google Sheets app feature overview

22:40 Claude Cowork Chrome extension features

23:33 Using Claude Cowork Chrome extension

26:48 Discussing AI speed improvements

31:18 Reusing skills and saving tokens

34:29 30-day AI learning series

Keywords: 

Gemini 3.7 Flash, Google Gemini, AI model, fastest AI model, cheapest AI model, artificial analysis, model filter, coding agents, API pricing, Gemini Spark, Google AI Studio, Android Studio, Gemini enterprise platform, open source AI, ZAI GLM 5.3, coding model, cybersecurity benchmarks, CyberGym, GLM coding plan, open weights release, Codex, Claude code, Claude Cowork, Chrome extension, browser automation, ChatGPT desktop app, computer history feature, skill suggestion, workflow automation, token usage, privacy controls, Mac integration, API speed tier, Cerebras partnership, ultra fast AI, GPD 5.6 Soul, agentic workflows, Google Sheets canvas, interactive dashboards, data sync, business intelligence, live artifacts, connectivity integrations, workflow optimization, cursor acquisition, Grok 4.6, SpaceX AI, software engineering, output tokens

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The next 12 months of AI leaked. 

Kinda. 

For the past 90ish days, we've been quietly collecting evidence of what's next.

1,030 saved posts. 90 Podcasts. Countless conversations. Every model drop, every leak, every quiet product update the big labs hoped you'd scroll past.

Then we connected the dots.

What came out the other side: 19 calls on where AI goes over the next 12 months. And some of them are uncomfortable.

We're walking through all 19. 

Bring your team's AI roadmap. You'll want to edit it. 👇

The Next 12 months of AI: 19 Predictions Every Business Leader Needs to Hear -- An Everyday AI Chat with Jordan Wilson

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

Reactive Chat Dies, Proactive AI Agents RiseVoice and Mobile Become AI Default InterfaceManager Threads Replace One-Off AI ChatsMultiplayer AI: Humans and Agents CollaborateCompany-Wide Vibe Operations with ChatGPT SitesAgent Native Workflows and Resources StandardizationSkill Reuse as Key Company MetricCompany Reasoning Data as Strategic GoldShift from Public Leaderboards to Private EvalsModel Routing Becomes AI Industry NormCheaper AI Intelligence, Anthropic Competition HeatsFortune 100 AI Token Spend EfficiencyCompute Power as New AI CurrencyLocalized AI Controversies and Election DeepfakesMainstream AI Backlash and Content DetectionMath Benchmarks Solved by Advanced AIToken Maxing Returns with Cost DeclineOpen Agents Crash Risks and CybersecurityRecursive Self Improvement (RSI) in AI Development

Timestamps:

00:00 Starting the AI 101 series

03:35 Yearly AI predictions roundup

07:54 Using full duplex AI assistants

09:45 Talking vs. Typing to AI

13:45 Breaking down AI silos

19:03 Turning processes agent-native

22:32 Skill development and reuse in AI

24:09 Bringing Slack DMs into Channels

29:46 Dealing with AI usage limits

30:45 AI startups revolutionizing knowledge work

35:46 AI strategy in Fortune 500 companies

40:11 AI impact on local politics

41:58 Concerns Over AI Watermarking

46:52 Experiencing token budget challenges

51:05 Sergey Brin prioritizes RSI at Google

52:06 Discussing AI model improvements

55:24 Closing and subscription reminder

Keywords: 

AI predictions, AI trends, business AI strategy, proactive AI agents, reactive chat, AI operating systems, ChatGPT, Claude, Grokbot, voice and mobile AI control, full duplex agent, AI skills, skill reuse, manager threads, multiplayer AI, agent native, company reasoning data, private AI benchmarks, public leaderboards, private evals, model routing, AI token spend, open source models, compute scarcity, hardware scarcity, AI controversies, local AI data centers, AI deepfakes, AI backlash, AI content detectors, AI in politics, math solved by AI, token maxing, cyber defense, open agents, cybersecurity budget, recursive self improvement, RSI, Fortune 100 AI usage, AI workforce transformation, dashboard automation, AI for dashboards, no-code AI apps, business intelligence AI, automation skills, agent crashes, model overhang, vendor lock in, AI-powered cyberattacks, AI-driven skill creation, AI-enabled workflows, token efficiency, AI local hosting, cost-effective AI models, enterprise AI adoption, AI asset management, company AI metrics.

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Scheduled tasks are a secret weapon. ⚔️

How secret? 

They can actually be hard to find and there's not a lot of info out there on how to use them. lolz. 

But for many, they can be the stepping stone to the fully autonomous desktop worker. Because for many users who may only be able (or comfortable) to access AI on the web, scheduled tasks provide that proactive, work-done-for-you vibe that AI agents delivered. 

But how does it work in Gemini, ChatGPT and Claude? 

And what's worth scheduling and automating? 

We put AI to work on this Wednesday and find out. 

Scheduling AI: how to easily make AI work for you in Claude, Gemini and ChatGPT -- An Everyday AI Chat with Jordan Wilson

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

Introduction to Scheduling Tasks in AIGoogle Gemini Scheduled Actions OverviewChatGPT Scheduled Tasks Features & HacksChatGPT Work Mode and Virtual BrowserClaude Scheduled Tasks vs. Routines ComparisonUsing API Triggers with Claude Code RoutinesReal-World AI Dashboard Scheduling TestDetailed Results: Gemini vs. Claude vs. ChatGPTKey Takeaways for Best Automated SchedulingPractical Use Cases for Scheduling AI Tasks

Timestamps:

00:00 Using scheduled tasks effectively

06:00 Adopting AI for productivity

06:51 Discussing main AI platforms

12:45 Scheduling tasks with ChatGPT

14:38 Work mode and virtual browsing

17:58 Creating and Editing Scheduled Tasks

22:47 Using Claude's cloud routines

26:59 Creating interactive stock visuals

27:51 Tracking AI company stock trends

31:58 Reviewing AI stock tracking tool

35:35 Improving user interface and experience

39:23 ChatGPT's unique scheduling features

41:49 Using APIs in Claude routines

44:45 Dashboard automation and triage setup

Keywords: 

AI scheduling, scheduling AI, scheduled tasks, scheduled actions, proactive agentic workflow, agentic adoption, agent built workflow, Google Gemini, Gemini scheduled actions, Gemini connectors, Gemini canvas mode, ChatGPT scheduling, ChatGPT scheduled tasks, ChatGPT work mode, ChatGPT projects, ChatGPT memory, ChatGPT sites, agentic app actions, model selector, reasoning level, app automation, connectors and skills, OpenAI, Claude scheduling, Claude scheduled tasks, Claude routines, Claude code, Claude co work, Claude home, Claude API token, Zapier integration, trigger-based automation, custom dashboards, triage dashboard, interactive visual, stock price dashboard, news summarization, personalized automation, user interface changes, web interfaces, desktop agents, repetitive tasks automation, business process automation, workflow optimization, productivity AI tools, AI-powered research, CRM integration, KPI tracking

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If you’re reading the headlines, you’d think AI agents have gone rogue. 

Spoiler alert: they haven’t. 

They haven’t even gotten started. 

When we think about AI agents, the conversation usually goes to increasing revenue, saving time, etc. 

But we don’t talk about what happens when bad actors use AI agents for bad purposes, or when we deploy agents with good intentions that crash through their guardrails. 

Welp….. welcome to the hottest topic for the rest of 2026. Rogue AI agents. 

So why is this all happening now? And what should your business do about it? 

Tune in to find out. 

Rogue AI Agents: Why Breakouts are Happening More and How Companies Should Prepare - An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Rogue AI Agent Breakouts OverviewLab Sandbox vs. Real-World Agent CrashesSix Recent AI Agent Outbreak IncidentsOpenAI Model Hacking Hugging Face ExplainedAnthropic Mythos Model Sandbox EscapeControlled AI Agent Experiments and FailuresOpen Source AI Agents Threat TimelineBusiness Risk Preparation for Rogue AI AgentsMonday Morning AI Agent Safety Playbook

Timestamps:

00:00 Preparing for AI agent disruption

04:53 AI agent challenges comparison

10:17 Discussing AI Guardrails and Access

12:07 AI threats and security concerns

15:37 AI alignment challenges with ethics

19:04 Security vulnerabilities in AI models

21:32 Agent outbreak and hacking drills

25:04 OpenAI Hugging Face incident

30:49 AI agents and cybersecurity risks

33:30 Concerns about open AI models

35:23 Future AI security challenges

40:19 Managing agent access levels

42:06 Preparing for AI agent oversight

Keywords: 

rogue AI agents, AI agent crash, AI breakout, autonomous agents, open source AI models, agent containment, sandbox escape, AI guardrails, AI agent apocalypse, AI alignment, hacking drills, AI model capabilities, agent replication, AI subagents, cyber security, OpenAI, Anthropic, Mythos model, Fable model, Kimmy K3, Moonshot AI, Hugging Face breach, AI agent vulnerability, AI Safety Institute, model postmortem, agent misalignment, agent permissions, CRM exploit, code base security, business finance AI risk, agent observability, traceability, remote kill switch, agent attack, AI defender, spam-level AI attacks, API vulnerabilities, permission escalation, benchmarking, AI agent incident, agent-driven automation, agent crash prevention, agent operational oversight, cybersecurity exploit

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AI agents crashing. 😱

New models dropping. 🆕

White House AI regulations? Kind of? 🤷

Another doozy of a week in AI News. If you missed anything, we'll get you caught up quickly so you can focus on what matters. 

AI Agent outbreaks intensify, OpenAI upgrades free AI use, White House unveils AI testing policy and more AI News That Matters

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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

OpenAI and Anthropic AI Agent OutbreaksUK AI Security Test Cyberattack IncidentOpenAI Astra Model Cybersecurity RisksGoogle AI Leadership Shakeup and ImpactWhite House Frontier AI Model Testing PolicyMeta Muse Code Terminal AI Agent LaunchMeta Muse Spark 1.2 Coding Model BenchmarksOpenAI GPT-5.6 Luna Free Unlimited AccessMajor AI Model Price Reductions AnnouncedAnthropic, Meta, and Kimmy K3 Containment EventsByteDance 10 Trillion Parameter Model LeakPerplexity Wins Appellate Court Against AmazonAdobe Creative Cloud ChatGPT Plugin IntegrationCloudflare Open Sources Internal AI Workspace

Timestamps:

00:00 AI security breach in the UK

05:48 Astra's cyber threat capabilities

09:30 OpenAI's upcoming model release

11:50 Google leadership changes impact stock

15:02 AI model review and restrictions

19:42 Meta's Muse Spark 1.2 capabilities

22:34 Meta's new market strategy

25:15 New GPT 5.6 Luna model released

30:59 AI alliances and transparency updates

32:58 Latest AI and tech updates

Keywords: 

AI agents, AI agent outbreaks, autonomous AI, agent containment, agentic AI, agentic coding, AI cybersecurity, AI cyber attacks, OpenAI, Anthropic, Meta, Google's Gemini, Google DeepMind, Jeff Dean, Demis Hassabis, Frontier AI models, AI safety, AI regulations, White House AI framework, national security AI, AI model benchmarking, Astra model, GPT-5.6 Sol, GPT-5.6 Luna, GPT-6, GPT-5.7, Project Glasswing, Fable model, Mythos 5, Opus 5, Kimmy K3, Muse Code, Muse Spark 1.2, command line AI agent, terminal-based AI, pricing strategy, contributor tier, open source AI, open weight models, executive order, cybersecurity risk, secure AI deployment, AI governance, Gemini Notebook, AI alliances, Adobe AI plugin, text-based AI chat, unlimited AI access, API pricing, AI infrastructure, Nvidia partnership, ByteDance AI, Mini Max H3, AI video model, perplexity, cloud code, AI workspace, agent plugins, Grok Imagine Image 2.0, EU AI Act transparency, insider risk investigator, TerraFAB project, SpaceX AI, Tesla AI, Microsoft Windows MAI models, industry shakeup, AI leadership changes, market competition AI, AI developer tools.

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Free AI users rejoice: there’s finally unlimited, free frontier AI. 🤯

(That doesn’t require like a $50k machine to run.) 

That’s because OpenAI just updated its GPT-5.6 model and with the update, it made GPT-5.6 Luna available to free users without limits. 

And that wasn't the only big win this week for free and cheap AI. 

From open weight models and an Open Agent Plugin standard to Meta's new pricing structure and coding harness, we saw a lot of new AI features this week. 

Here's the 7 you should be using today. 

Updated GPT-5.6, A new Cheap Meta Model, Qwen 3.8 released and impressive and 7 more AI updates you can use today

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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

GPT-5.6 Luna Free Unlimited AccessMeta Muse Code Contributor Pricing ExplainedAlibaba Qwen 3.8 Max Model ReleaseAdobe Unified Plugin Updates for ChatGPTCloudflare OS Open Source AI WorkspaceOpen Agent Plugin Standard LaunchedMinimax H3 Open Weights Video ModelGemini Notebook Agentic Features ExpandedGPT-5.6 Soul Model Update & Comparison

Timestamps:

00:00 OpenAI unveils free GPT 5.6

04:06 Adobe integration with ChatGPT

08:05 Introducing MetaSpark's new features

12:31 Using Alibaba Cloud for APIs

14:00 27B Model for Large Enterprises

16:32 Introduction of Gemini notebook features

19:50 Discussing AI technology updates

24:46 Cloudflare OS open source release

27:37 Mini Max AI video model overview

30:44 Election impact and access issues

33:45 Anthropic's recent challenges

36:59 Closing and subscription reminder

Keywords: 

GPT-5.6, OpenAI, free AI plan, GPT-5.6 Luna, unlimited AI use, Meta Muse, Spark 1.2, Muse Code, contributor tier, Meta AI, terminal coding agent, coding agent, cheap AI model, Alibaba, Qwen 3.8 Max, open weights model, million token context window, text to video, open source AI, agent orchestration, agent plugins, plugin JSON standard, Gemini Notebook, Gemini 3.5 Pro, Google AI update, agentic notebook, code interpreter, artificial analysis rankings, MiniMax H3, open video model, AI video generator, text to video, image to video, multimodal context, Cloudflare OS, open source agent platform, AI workspace, API pricing, frontier models, token pricing, persistent background subagents, model fine-tuning, AI skill packages, Anthropic, Claude Opus, Claude Fable, AI desktop agent, SaaS alternatives, AI election risk

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"How do you use AI every day?" 🤔

One of the most common questions I get. And TBH, it's been hard to give a straight answer. 

Because by the time I've collected all the info, something changes. But over the last few months -- as work goes from the web to desktop -- my personal workflows have steadied and stayed consistent. 

So I'm taking you inside Everyday AI and the 9 AI tools and workflows I use the most. 

Hundreds of AI tools and modes a year. 

Thousands of hours. 

All boiled into one episode. 

Inside Everyday AI: My 9 most Used AI Tools and Workflows -- An Everyday AI Chat with Jordan Wilson

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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

Codex AI Agent Workflow OverviewTop Nine AI Tools and WorkflowsThird Shift AI Stats AutomationAI-Powered Communication Triage AgentsCustom ChatGPT Sites for WorkflowParrot Dictation Local App BuildEpisode Planning with Gemini and CodexFrontend Design Using Claude, Stitch, GPT ImageGemini Notebook Deep Research UseCodex AI Skill Building and AutomationChatGPT Voice Remote Desktop Control

Timestamps:

00:00 Everyday AI tools and workflows

05:54 Nontechnical AI user insights

07:46 Agent control and coworking insights

12:34 Automating daily metrics analysis

13:26 Analyzing Show Popularity and Trends

17:10 Using AI for email management

20:58 Design criteria for app features

25:16 Automating YouTube video summaries

28:29 Building Personal Project Apps

32:25 Interactive learning with Gemini notebook

33:14 Preparing for big shows

36:58 Experimenting with new technology

40:06 Using ChatGPT for productivity

43:05 Exploring AI Tools and Workflows

Keywords: 

AI tools, AI workflows, codex, ChatGPT, Claude, Gemini, desktop agents, agentic desktop, AI models, OpenAI, Anthropic, Cursor, computer use, browser control, Chrome extension, sub agents, goal mode, plan mode, Cloud Code, Cloud Code Work, benchmark stats, podcast downloads analytics, newsletter A/B testing, LinkedIn inbox automation, comms triage agent, skills automation, custom AI skills, plug-in creation, scheduled tasks, app design with AI, Claude Design, Google Stitch, GPT Image, front-end AI design, local dictation LLM, Parrot app, speech to text, YouTube transcription automation, CRM with ChatGPT sites, iMessage automation, teamwork sharing via AI, notebook study, Gemini Notebook, deep research, sentiment analysis, MCP server, Agent MD, AI-powered remote desktop, ChatGPT Voice, full duplex AI interaction, AI-powered productivity, knowledge work automation, AI project orchestration, AI-powered slide deck, automated reports, personalized apps with AI, AI-driven content planning, throwaway apps, AI-driven bullet point summaries, AI for business leaders, agent control, automated LinkedIn messaging, CastMagic, StreamYard integration, Canva automation

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Not only does NotebookLM have a new name, it's got a new game. 

Gemini Notebook is agentic by default, can think and reason, and can output files now in just about any format. 

On this week's AI at Work on Wednesday, we show you the 7 New Updates in the new Gemini Notebook, how they work, and how you should use them. 

Gemini Notebook: 7 New Updates and What They Unlock -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Gemini Notebook Rebrand from NotebookLMSeven Major Gemini Notebook Feature UpdatesCollections for Organizing AI NotebooksAutomatic Google Drive Sync IntegrationExpanded Gemini Notebook Output FormatsAgentic Intelligence and Gemini 3.5 UpgradeSecure Cloud Computing for Each NotebookGrounded Data Responses and Web ResearchHands-On Demo: Real-World Enterprise Use CasesStudio Outputs: Infographics, Mind Maps, QuizzesMulti-Modal Asset Creation in Gemini NotebookKey Differences: NotebookLM vs. Gemini Notebook

Timestamps:

00:00 Gemini notebook updates released

03:12 Gemini notebook new updates

08:14 Notebook LM's unique features

13:02 Using Gemini notebook prompts

14:48 Discussing Gemini notebook features

18:01 Enhanced Gemini notebook flexibility

23:02 Creating quizzes with Gemini notebook

26:30 Limitations of AI-generated responses

29:04 Gemini notebook's new capabilities

30:51 Episode wrap-up and subscription pitch

Keywords: 

Gemini Notebook, Gemini notebooks, NotebookLM, Notebook LM, Google Gemini, AI updates, Gemini 3.5, anti gravity agentic search, Google Drive syncing, cloud computer, agentic intelligence, AI agent, secured cloud sandbox, personalized AI, output formats, PDFs, PNGs, documents, spreadsheets, PowerPoints, markdown files, charts, images, live demo, long form content, content grounding, hallucination reduction, source pane, chat pane, studio pane, multimedia assets, Nano Banana, Google's audio model, cinematic video, Google's VO model, chain of thought, skill creation, codex skill, browser control, agentic harness, pricing evidence, Luna and Terra pricing, sensitivity analysis, recommendation dashboard, AI budget calculator, mind map, infographics, quizzes, RSI maturity ladder, recursive self improvement, executive decision brief, Excel calculator, agentic workflows, web search integration, grounded AI, model architecture, frontend models, tiered architecture, adaptability to price reductions, vendor risk, human review time, latency, agentic co-worker, artifact creation, editable Excel workbook, multi-output prompting, token efficiency.

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Intelligence too cheap to meter -- could that actually be coming? 🤑

Maybe, and you mighta missed one of the biggest signs. 

 OpenAI said that its own model improved itself after release so well, that it was cutting prices to one model by 80%. 

What's that mean? 

Well, by definition, it's a broad example of Recursive Self Improvement, or when a model starts building better versions of itself. 

And over the past 8 weeks, RSI has gone from a science fiction future to an actual, near-term reality. 

So what happened and what changed? And what does it mean for your company? 

We break it all down. 

RSI Explained: When AI Starts Improving Itself and What It Means -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

OpenAI's GPT-5.6 Soul Self-ImprovementRecursive Self-Improvement (RSI) Definition & ImpactCutting AI Model Costs by 80%Timeline Acceleration for RSI AdoptionGoogle and Anthropic's RSI Research InitiativesAI Automation: Building and Training AI ModelsIndustry Call for Slowing Down AI PaceSuperintelligence, AGI, and the Singularity DiscussionPractical Implications of RSI for BusinessesSecurity and Oversight Concerns with Self-Improving AI

Timestamps:

00:00 AI self-improvement and price cuts

06:33 AI startup funding and regulation concerns

09:14 AI misconceptions and public disconnect

11:29 Advancements in AI self-improvement

16:16 Development of AI Models

21:07 Sam Altman on reaching singularity

23:04 Entering the AI singularity era

26:37 Advancements in AI models

30:43 China's advancements in AI models

34:24 AI self-improvement and containment issues

37:01 Planning for AI cost reduction

40:00 AI controlling other AIs with GBD 5.6

42:46 Closing and subscription reminder

Keywords: 

Recursive self improvement, RSI, AI self-improvement, AI improves itself, agentic AI, token efficiency, token maxing, OpenAI, GPT-5.6 Soul, Luna model, AI cost reduction, post-training, AI automation, automated AI researcher, Anthropic, Claude Code, Codex, Google DeepMind, AGI, Artificial General Intelligence, Superintelligence, Artificial Superintelligence, ASI, Singularity, Sam Altman, AI acceleration, AI research automation, Frontier Labs, Pacing the Frontier, AWS compute deal, capital expenditures, data centers, CapEx, model distillation, small language models, AI capabilities, AI benchmarks, model variants, model efficiency, AI safety, technology acceleration, AI containment, AI security, open source AI, AI deployment, technology disruption, modular AI systems, price reduction AI, AI industry, AI timeline, human oversight AI, AI risk management, AI regulation.

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OpenAI has a new model coming soon called Astra. 

Was it a leak? 

A reddit post? 

Some backdoor update? 

Nope, OpenAI made some crazy discoveries and math then told the world that their next model family Astra did the heavy lifting. 

(And you thought you could just click ‘Sol’ and your strategy was set for Q3?) 

Aside from news on what’s next from OpenAI, this week saw multiple new agent outbreaks, AI competitors banning together to pace AI, Amazon doing a 180 on its AI strategy and a lot more. 

Don’t get left behind. We’ll keep you ahead. 

OpenAI’s new Astra model, more AI agents escape sandboxes, AI leaders call for AI pacing and more. AI News That Matters for August 3 — An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

OpenAI Agents Escape Sandboxes IncidentAnthropic Claude Models Security BreachesAI Agents Breaking Cybersecurity GuardrailsOpenAI GPT-5.6 Price Cuts & Self-OptimizationRecursive Self-Improvement in AI ModelsAI Leaders Urge AI Development PacingUS, China, and International AI GovernanceAmazon Nova AI Models Shutdown StrategyOpenAI Astra Model Math BreakthroughNew AI Models: Fable, Astra, DeepSeek v4 FlashEnterprise AI Agents and Cybersecurity UpdatesGoogle Gemini Robotics, Music, and Agent ReleasesMeta, Microsoft, and AWS AI Infrastructure MovesOpenAI Free Frontier Tools for ResearchersBlock's Buzz Open Source AI Workspace Launch

Timestamps:

00:00 OpenAI agent containment issues

04:27 Anthropic data breach explanation

07:28 Evaluating AI incidents and responses

10:14 OpenAI slashes GPT 5.6 prices

15:59 AI industry urges development pause

17:45 Concerns about AI self-improvement

22:36 Amazon shifts AI strategy

25:04 Amazon's AI efforts discussion

28:00 OpenAI's Astra and new math proofs

30:36 OpenAI's new four-tier system

36:14 Google's Lyria 3.5 and Block's Buzz

36:48 Latest AI developments overview

Keywords: 

Astra model, OpenAI, AI agents, agent escape, sandbox containment, autonomous AI, Hugging Face breach, Anthropic, Claude AI, cybersecurity testing, unauthorized access, model capabilities, recursive self-improvement, GPT-5.6, price cut, Luna model, Terra model, Sol model, input tokens, output tokens, AI infrastructure optimization, self-improving models, benchmarking, SONNET-5, large language models, artificial analysis index, codex, academic research, AI oversight, industry pause, AI governance, national security, China open-source models, Frontier Labs, Amazon Nova, AGI Lab, AWS, Peter DeSantis, Peter Abbeel, media coverage, Fable model, Haiku, Opus, DeepSeek, Kimi K3, Quinn 3.8, GLM 5.2, Google Gemini 3.5, Microsoft Copilot, cybersecurity vulnerabilities, distillation, model overhang, artificial intelligence development, international AI regulation, generative AI, model benchmarking, Sora video model, El Paso data center, MCP update, MAI Cyber One Flash, Project Perception, Lyria 3.5, music generation, Buzz open source, Block, Meta AI, Chrome Gemini integration, Gemini Spark, product summary algorithms, Rufus, enterprise AI, stateless core, model scaling, advanced math problems, sphere packing, federal policy, voluntary AI commitments.

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Google didn't ship its big model, but they shipped a TON of new useful AI you can use today. 

And Google wasn't the only company updating their features behind the scenes. 

Replit is bringin vibe designing, ChatGPT got a lot more useful on the web, and Meta is changing from chatbot to agent. 

We'll get you caught up quickly. 

Chrome adds Some Gemini Spark, Replit Design makes impact, Buzz brings AI Agent Teamwork and 7 more AI Features you Should use Today -- an Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Replit Design Suite Launches With Free MobbinChatGPT Chrome Extension Adds YouTube SummarizationChatGPT Side Chat Integrates Tabs and Highlighted TextMeta AI Rolls Out Recurring Agent TasksGoogle Gemini Generates Images in Google DocsGemini AI Summarizes Comments, Edits in DocsGoogle Gemini Spark Agent Arrives in ChromeChrome Agent Uses Saved Accounts and PasswordsGoogle Lyria 3.5 Music Model ReleasedBuzz by Block Unites Team and Agent Collaboration

Timestamps:

00:00 Recent AI updates and developments

05:01 Creating with Replit and AI models

09:42 Real-time research tracking benefits

10:34 Meta AI new recurring features

13:35 New features of Meta AI

17:53 Google Spark integrates with Chrome

22:09 Google DeepMind's new music model

25:25 Buzz from Block messaging tool

29:42 Building a collaborative platform

31:23 AI feature updates recap

Keywords: 

Gemini Spark, Google Chrome AI integration, Google Docs AI features, AI image generation, Gemini in Docs, ChatGPT Chrome extension, YouTube video summarization, OpenAI ChatGPT update, Codex, Vibe design, Replit design suite, Mobbin integration, AI reference library, Design export automation, Project management AI, Figma competitor, Replit creative tools, Meta AI, Muse Spark 1.1, Agentic model, Recurring AI tasks, AI scheduling, Daily briefings, AI productivity tools, Google Lyria 3.5, AI music model, Flow Music, Suno, Yudio, AI generated lyrics, Vocal delivery in AI music, Licensing in AI music, Buzz collaboration platform, Block, Square, AI agent teamwork, Slack-like AI platform, Open source collaboration, Agent governance, Cryptographic identity, Agentic browser, Automated web errands, Chrome passwords integration, Google Drive data access, Multi-agent collaboration, Research automation, Enterprise AI workflow, AI productivity boost.

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Agents are getting more powerful by the day. 

And most workflows, outputs and human capabilities can't keep up. 

Is that a problem or opportunity? 

Before you answer that question, though, keep this in mind. 

Agents are *literally* about to become 20X faster overnight. 

Let's unpack what that means. 

Faster AI Agents, Fewer Human Coworkers: The Overly Productive Future of Managing Agents? -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Managing Dozens of Productive AI AgentsOpenAI Cerebras: 20x Faster Agent ModelsImpact of AI Agents on Human CoworkersAgent-Driven Workflows vs. Human CollaborationIncreasing Agent Reliance and Fading MentorshipAccidental Deskilling and Compression TaxProtecting Human Judgment and Learning HandoffsExpert-Driven Loops in AI WorkflowsMonthly Rebuilding of AI Strategies and ProcessesMiddle Management Evolution in AI Native Companies

Timestamps:

00:00 Future of AI and Work Dynamics

05:25 Advancements in AI and productivity tools

09:51 Growing your business with AI

13:52 AI productivity and collaboration shifts

15:08 Improving AI processing speed

18:53 Using AI agents for delegation

24:46 Discussing AI-related work challenges

28:16 Ensuring accountability and communication

30:39 Adapting to rapid digital change

32:35 Show outro and newsletter sign-up

Keywords: 

AI agents, faster AI models, OpenAI, Cerebras chip, 20x speed increase, automated workflows, agent management, solo agent supervisor, generative AI, knowledge work automation, agent-powered productivity, parallel machine teams, inference speed, productivity acceleration, Codex, Cloud Code, Google Gemini, Cloud Cowork, Copilot, recursive self improvement, expert-driven loops, human handoffs, deskilling, mentorship loss, AI native workplace, workplace automation, transactional work, productivity roadblocks, accidental deskilling, agent bun sandwich, compression tax, human in the loop, expert collaboration, agent trust, AI decision making, domain expertise, rapid workflow rebuilding, unlearning processes, organizational adaptation, enterprise AI adoption, future of work, middle management AI, AI-powered teamwork, human-agent collaboration, manager-agent ratios, personalized agent output, multi-agent coordination, skillset sharing, intentional automation, productivity strategy

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People are calling the new ChatGPT Voice their “AGI moment.” 🤖

After testing it over the past week, I understand why.

It seems like the missing link between the ever-capable desktop agent and the human worker not having to type in front of said desktop all day. 

It’s less like “voice mode” and more like having your own JARVIS.

After testing thousands of AI tools, this has instantly become one of the most useful features I’ve ever used. 

Tune in as we put AI to Work on Wednesdays and go hands-on with the new hands-free ChatGPT Voice. 

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Topics Covered in This Episode:

ChatGPT Voice as Jarvis-Style AI AgentChatGPT Voice vs. Old Voice ModesFull Duplex GPT Live Model ExplainedDesktop ChatGPT Voice: Codex IntegrationAdvanced ChatGPT Voice Workflow Use CasesUtilizing Connectors and MCP IntegrationsStacking and Scheduling Tasks with VoiceHands-Free Computer Control via iPhoneDurable Written Artifacts and AccountabilityOmnipresent Desktop Orb Agent FeaturesLive Demo: Real-World Voice Command TasksProductivity Gains from Voice-Driven Automation

Timestamps:

00:00 Experiencing the new ChatGPT voice

04:30 AI demonstration details

08:44 Accessing GPT data sources

11:00 Differentiating Codex from ChatGPT Voice

16:08 Limitations of GPT Live integrations

19:00 Automating Tasks with Voice Commands

21:47 Using ChatGPT voice on iPhone

25:09 Using AirPods with your Mac

27:09 Starting a Chat GPT Demo

31:21 Launching the Parrot Program

35:47 Demoing JGPT's capabilities

39:18 Demonstrating multitasking techniques

40:58 Working with ChatGPT Voice

Keywords: 

ChatGPT Voice, Jarvis mode, AGI moments, natural language interface, hands-free AI, desktop agent, Codex, GPT Live model, full duplex voice mode, AI-powered workflow, agent management interface, voice assistant, productivity AI, computer control AI, voice commands, dynamic data access, connectors, MCP servers, project management AI, automated document creation, email triage, AI scheduling, repeatable tasks, AI skill creation, workflow automation, mobile to desktop integration, voice-based task stacking, durable artifacts, audit trail, AI voice chat, omnipresent agent, drag-and-drop orb, ChatGPT app, browser automation, programmatic control, cloud storage organization, image creation, transcribing YouTube reviews, AI learning, AI scheduling, business productivity AI, workflow augmentation, CRM integration, LinkedIn enrichment, poll result analysis, open rate comparison, Slack integration, Google Drive automation, ERP integration, finance workflows, interactive dashboards, AI trend updates, change log analysis.

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Every major AI lab signed the Open Weights letter defending open models. Meta, OpenAI, Google, Microsoft, Nvidia.

Anthropic was the only holdout.

Yesterday, its CEO, Dario Amodei, published a thoughtful defense of that decision to not fully support open weight or open source models. 

Here's what nobody's connecting: the money trail. 

Roughly 80% of Anthropic's revenue is businesses paying per token. Free Chinese open models attack that exact revenue stream weeks before Anthropic is set to go public. 

On today's show we break down what Dario actually said, what he said before, and why we think this was written for Washington policymakers and not for the rest of us.

Anthropic Responds: Why Claude’s CEO didn't sign the open model pact and the real reasons why -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Anthropic Refuses Open Model PactDario Amodei’s Public Letter AnalysisAnthropic’s 80% Revenue Token ExposeChinese Open Model National Security FearsMicrosoft & Nvidia’s Open Weights CoalitionRegulatory Capture and Washington InfluenceTiming Related to Executive Order DeadlineIPO Motivations Behind Anthropic’s DecisionsContradictions in Anthropic’s Open Model StanceImpact of Open Source on Token Business Model

Timestamps:

00:00 Anthropic's stance on open models

04:19 Discussing Anthropic's response to open models

06:39 Understanding open weight models

12:08 Future AI and cybersecurity risks

15:04 Discussion on open-source AI models

19:30 Discussing Anthropic's business challenges

21:08 Cutting costs with open-source models

26:17 Anthropic's recent stock downturn

27:11 AI investment and cost efficiency shift

30:14 Anthropic's stance on open source models

36:32 INTROPICS IPO and regulatory discussions

37:37 Wrapping up and subscribing

Keywords: 

Anthropic, Claude, open model pact, open source AI, open weights, American AI leadership, Dario Amodei, IPO, regulatory capture, DC lawmakers, Chinese open source models, token revenue, per token business model, NVIDIA, Microsoft, Meta, OpenAI, Google, IBM, national security, AI safety, government mandates, chip controls, AI regulation, chip ban, industrial scale distillation, mandatory safety testing, inference, AI ecosystem, Opus 5, Fable 5, GPT-5, GLM 5.2, cost per task, token efficiency, model router, proprietary models, closed source AI, cybersecurity risks, Chinese cyberattacks, biological attacks, Glasswing program, open source vs proprietary, tech lobbying, Trump AI order, federal deadline, AI policy, artificial general intelligence, artificial superintelligence, AI monetization, S-1 filing, public company, venture capital, AI benchmarks, model switching, API pricing, model containment, Hugging Face incident, AI startup monopoly, safety vs business protection, market competition, AI cost reduction.

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Over 3 hours, OpenAI, Anthropic, Google AND Microsoft all dropped new AI upgrades that are live. 

How you use AI in your work literally changes every day, as frontier labs are racing to roll out big quality of life updates between big model drops. 

How can you keep up? 

With our Friday Features show, where we break down the latest AI updates that are live and available to all, and we tell you how to use them and why they matter. 

This week did not disappoint. You don't want to miss what's now at your fingertips. JARVIS mode, anyone? 

ChatGPT goes Jarvis Mode, Claude can learn from you, Google unleashes spark agent and 7 more AI updates you can use today -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Anthropic Claude Opus 5 Model LaunchOpenAI Agent Hacks Benchmark SandboxOpenAI vs. Hugging Face Security BreachUS AI Kill Switch Legislation ProposalMicrosoft, Nvidia Defend Open Source AIAnthropic Opposes Open Weight Model CoalitionUS Accuses China’s Moonshot AI of DistillationChinese Kimi K3 Model Closes Capability GapNvidia Chips Allegedly Used by Moonshot AIOpenAI Jarvis-Style Voice Assistant for CodexChatGPT Remote Desktop Voice Control ReleaseAnthropic Opus 5 Model Benchmark ResultsAnthropic Opus 5 Model User FeedbackStripe OpenRouter Acquisition TalksMeta Muse Agent and Feature UpdatesAlibaba Qwen 3.8 AI Model PreviewGoogle Gemini 3.6 Flash Model UpdateAnthropic Claude Voice Upgrades and Skill Recording

Timestamps:

00:00 OpenAI agent hacks Hugging Face

04:58 Discussing GPT-6's creative problem-solving

07:33 Proposed AI shutdown legislation

13:08 Debate over open-weight AI policies

15:54 Future of consumer hardware

20:01 Global competition with AI models

21:21 US-China AI trade tensions

26:38 Using AI for desktop tasks

27:42 Discussing app screenshot capabilities

32:24 Early user feedback and issues

36:13 Discussing medium and low reasoning AI

39:29 Gemini Spark launches for Pro users

Keywords: 

Claude Opus 5, Anthropic, best AI model, AI model comparison, OpenAI agent, sandbox breach, AI safety, AI kill switch bill, US government AI regulation, Hugging Face hack, GPT 5.6 Soul, rogue AI agent, autonomous AI agents, AI benchmark exploits, bipartisan AI bill, Department of Homeland Security AI shutdown, AI technical throttling, AI enterprise adoption, NVIDIA, Microsoft, open source AI, open weight models, Meta, Google, AMD, Cloudflare, GitHub, Block, IBM, Dell, Palantir, Perplexity, y Combinator, AI market resilience, Anthropic revenue model, AI token sales, consumer AI hardware, AI distillation, Chinese AI models, Moonshot AI, Kimi K3, intellectual property theft, NVIDIA chip export controls, US-China AI dispute, Amazon, AI image generation, ChatGPT work, Codex app, full duplex voice model, knowledge work automation, app shots, AI at work, Claude Voice, Gemini Spark, record a skill, cloud cowork, AI business impact, AI industry news, model weights, collaborative AI, AI productivity tools, AI cybersecurity.

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Over 3 hours, OpenAI, Anthropic, Google AND Microsoft all dropped new AI upgrades that are live. 

How you use AI in your work literally changes every day, as frontier labs are racing to roll out big quality of life updates between big model drops. 

How can you keep up? 

With our Friday Features show, where we break down the latest AI updates that are live and available to all, and we tell you how to use them and why they matter. 

This week did not disappoint. You don't want to miss what's now at your fingertips. JARVIS mode, anyone? 

ChatGPT goes Jarvis Mode, Claude can learn from you, Google unleashes spark agent and 7 more AI updates you can use today -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

ChatGPT Health Syncs Apple and Medical DataClaude Voice Mode Adds Opus and SonnetClaude Voice Mode Supports ConnectorsMicrosoft MAI Image 2.5 Pro Launch DetailsMicrosoft MAI Image Model Benchmark PreviewGoogle Gemini 3.6 Flash and Flashlight ReleaseGemini 3.6 Flash: Token Efficiency UpgradesGoogle Gemini Spark Agent for Task AutomationClaude Cowork "Record a Skill" With Voice NarrationChatGPT Voice on Desktop: Full Jarvis ModeChatGPT Voice Controls Apps via App ShotsCross-Platform AI Skills Sharing (Claude, Codex, GPT)

Timestamps:

00:00 Recent AI feature updates

05:22 Unified health data management

09:52 New voice feature explanation

11:28 Launch of Microsoft's new image model

16:17 Explaining the Gemini 3.5 models

17:11 Developers benefiting from 3.6 Flash

22:45 Introducing Gemini personal intelligence

25:10 Claude Cowork's new skill feature

28:32 New default feature in Claude Cowork

34:22 Using AI like Iron Man

35:09 Excitement for future AI advancements

38:20 Wrapping up and subscribing

Keywords: 

ChatGPT Jarvis mode, ChatGPT Health, OpenAI, Anthropic, Claude voice mode, Claude Cowork, Claude record a skill, Microsoft, MAI image 2.5 Pro, AI image generator, Google Gemini, Gemini 3.6 Flash, Gemini 3.5 Flashlight, Gemini Spark, Google AI agent, AI-powered personal assistant, AI agents, Agentic workflows, Multimodal AI, Token efficiency, Image generation, Voice-activated AI, AI-powered task automation, App shots, GPT Live, Remote browser, Computer code execution, Slack integration, GitHub integration, Notion, PowerPoint AI features, Workspace plans, Apple Health integration, Medical records AI, Health data privacy, Consumer AI, Chronic condition management, AI-powered document processing, AI for business, AI model benchmarking, AI for developers, AI economics, Personal intelligence, Automated triggers, Google Docs AI, Team collaboration AI

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OpenAI launched Presence, and it seems like no one really noticed. 

They should have.

Presence gives companies a way to build and manage real-time AI voice and chat agents across customer service, sales, HR, and IT, which could make this one of OpenAI’s most important enterprise launches yet.

The technology finally looks fast, natural, and capable enough to disrupt customer service at scale. 

That could mean faster answers and fewer terrible phone trees.

Or an endlessly patient corporate gatekeeper.

We’re breaking down what OpenAI actually launched, what the early proof leaves out, and whether the AI customer service takeover has finally arrived.

New: OpenAI Presence. Has The AI Customer Service Takeover Finally Arrived? An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

OpenAI Presence Launch and Industry ResponseReal-Time AI Voice Agents for Customer ServiceOpenAI Presence vs. Competing AI Voice PlatformsGPT Live and Real-Time Model CapabilitiesEnterprise AI Integration: Guardrails and EscalationsMultichannel AI Agent Consistency for SupportSpeech-to-Speech Benchmark Rankings and AnalysisDeployment Challenges: Beta to Production ReadinessConsumer Demand for AI Customer Service SolutionsInternal and External Use Cases for AI Agents

Timestamps:

00:00 OpenAI launches customer service AI

05:40 AI voice advancements and competition

09:28 OpenAI's edge in speech models

12:15 OpenAI's AI usage in companies

14:22 Discussing AI integration in companies

19:05 Transitioning from demo to deployment

20:46 Comparing voice agents and improvements

26:28 AI's Impact on Customer Service

28:07 Considering personalized messaging strategies

Keywords: 

OpenAI Presence, AI customer service, enterprise AI platform, AI voice agents, real time AI chat, customer support automation, sales automation, HR automation, IT automation, real world AI learning, customer service disruption, AI-powered voice models, GPT live, GPT real time 2, on demand AI agents, voice AI agents, AI chatbots, AI-driven customer experience, speech-to-speech index, multimodal AI, desktop AI assistant, voice model benchmarks, Anthropic, Codex real time voice mode, Google Gemini Live, Gemini 3.6 Flash, AI internal workflows, human approval guardrails, escalation paths, agent simulation, FDEs (forward deployed engineers), AI agent guardrails, internal data integration, business AI applications, B2C AI customer service, personalized AI messaging, AI consumer adoption, enterprise AI deployment, voice agent evaluation tools, consumer demand for AI, phone support AI, advanced AI infrastructure, Codex-powered improvement process, AI support handoff, customer service automation trends.

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Claude Design went viral at launch, but has been kinda crickets since. 🦗

So, we're gonna show you why some of the recent updates from Claude Design deserve your attention. 

Claude Design has gone from a cool party trick into a must-have tool in any designer's (or non-designer's) toolbox. 

It allows you to create any type of design with natural language, basic feedback, and straightforward iteration. 

On our weekly AI at Work on Wednesdays series, we show you Claude Design 101, show you what's new, and give our 5 best practices for getting started. 

Claude Design: What's New, How to Use it and 5 Best Practices -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Claude Design Overview and WorkflowMajor Claude Design Updates: June & JulyClaude Design System vs. Image GeneratorsHands-On Demo: Claude Design User FlowInput Methods: Prompts, Files, GitHub, FigmaKey Features: Editable Canvas & IterationClaude Design vs. Google Stitch & CanvaExport, Handoff, and Integration OptionsBest Practices for Using Claude DesignReview of Generated Designs and Editing Tools

Timestamps:

00:00 Introduction to Claude design

03:04 Initial struggles with Claude Design

08:56 Using Claude for design brainstorming

13:20 Watching Claude design live

15:37 Claude design updates and usage tips

19:53 Controlling design in generative AI

23:32 Tips for better Claude prompts

27:20 Exploring design tools in Figma

28:03 Editing with Claude Design tools

32:02 Choosing Live Stream Layout Options

35:15 Using Google Stitch for design

Keywords: 

Claude Design, Claude AI, generative design, Anthropic, editable canvas, AI-powered design system, design system, natural language design, prototyping with AI, internal tool creation, marketing tools with AI, operations workflow automation, user interface redesign, user experience design, interactive decision making, spreadsheet transformation, code integration, Claude Code, GitHub syncing, Figma file upload, brand kit, design assets, visual onboarding, workflow automation, public publishing, export options, artifact generation, HTML export, PNG export, PowerPoint integration, Canva export, Gamma export, animation creation, video creation with AI, design iteration, direct editing, annotation tools, visual revision, collaborative editing, web-based design tools, design system import, audience-focused design, section-based AI design, prompt-based design, code handoff, front-end design AI, design artifact publishing, workflow fixes, design system updates, technical collaboration tools, web design automation, repeatable design process, onboarding questions, visual exploration, AI design best practices, design inspection, revision instructions, artifact sharing

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A U.S. vs China AI cold war is starting, and most business leaders have no idea they're already in it.

China's open models just closed the gap with America's best, oftentimes at a fraction of the price.

Now both governments are moving to wall off their AI within days of each other.

Why? Because this was never about benchmarks. It's about power y'all. 

We break it all down on today's show and help you figure out the 101 of the AI war between U.S. and China. 

The U.S. vs China AI Cold War Is Starting: What It Means and How It Impacts You -- An Everyday AI Chat with Jordan Wilson

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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

U.S.-China AI Cold War OverviewChinese AI Models Closing U.S. GapGovernment Restrictions on AI Model AccessEconomic and Geopolitical AI Power StruggleRisks for U.S. Businesses Using Chinese AIOpen Source vs. Closed Source AI DebateChinese AI Model Pricing Undercuts U.S.AI Model Distillation and U.S. Security ConcernsEnterprise AI Cost-Effectiveness BenchmarksMicrosoft Testing Chinese AI DeploymentsFuture AI Model Export Controls & StrategiesRecommendations for AI Model Sourcing and Risk

Timestamps:

00:00 US-China AI tensions escalate

04:30 Switching to Chinese AI models

08:47 US vs China in open source models

11:39 China's narrative control efforts

14:42 Challenges in AI model development

18:25 Differentiating open source strategies

23:04 AI model cost-effectiveness analysis

26:31 US measures against model distillation

29:38 Discussing Microsoft's use of AI models

31:17 Controlling export of AI models

Keywords: 

US vs China AI cold war, China AI restrictions, US AI restrictions, AI model export controls, Chinese open source AI models, AI geopolitical power, economic growth through AI, global AI standards, AI superpower race, AI model benchmarks, open weight models, enterprise AI deployment, trillion parameter AI models, Microsoft AI model testing, AI model pricing, Claude Fable 5, GPT-5.6, GLM 5.2, Kimmi K3, Alibaba Qwen 3.8, model distillation, AI cybersecurity risks, AGI leadership, military AI use cases, China narrative control, model adoption, compute power for AI, AI training data, AI export law, US national security and AI, model routing, mixture of models, cost per intelligence index, Anthropic models, cost per task AI, model capability parity, AI market adoption, cloud competition, AI architecture innovation, AI model sanctions

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There’s (another) new open source king of AI. 👑

Kimi’s K3 might shake the open source landscape, but we’ll tell you why it’ll probably have less of an impact than you might think. 

That probably wasn’t the biggest news of the week in AI world, though, as Microsoft CEO Satya Nadella reportedly torched Anthropic. 

(Which might seem normal from AI company to AI company, but not when Microsoft has a $5 billion stake in Anthropic.) 

If you took your foot off the AI gas this week, we’ll get you caught up quickly with our AI News That Matters. 

Kimi K3 surprises, Gemini 3.5 Pro Delayed Again, Microsoft CEO Reportedly Criticizes Anthropic and more AI News — An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Meta AI Layoffs Lawsuit: Discrimination ClaimsGoogle DeepMind Proposes Unified AI WatchdogOpenAI Smart Speaker Hardware Leak DetailsKimi K3 Trillion-Parameter Open Source ModelKimmi K3 Benchmarks vs GPT-5.6 Soul, Fable 5Google Gemini 3.5 Pro Model Release DelayedMicrosoft CEO Nadella Criticizes Anthropic Fable 5Anthropic Fable 5 Data Retention Enterprise PolicyQuinn 3.8 and Inkling AI Large Model LaunchSuno Data Scraping Leak and AI Music TrainingGoogle AI Mode Integrates Canva, Instacart, YouTubeAnthropic Extends Fable 5 Access to Max UsersApple Testing PrismL Model Compression on iPhonesPerplexity Rolls Out Self-Improving AI MemoryChatGPT Universal Search and Work Features Update

Timestamps:

00:00 Meta lawsuit over AI layoffs

03:21 Meta lawsuit over protected leave

07:11 Major tech leaders back AI regulation

11:45 OpenAI's AI-powered smart speaker

14:12 Introducing Kimi k three AI model

20:19 Google delays Gemini 3.5 Pro release

23:33 Partnering with Top Tech Companies

26:03 Anthropic criticism and Azure investment

28:41 Anthropic's data retention policy

31:49 AI developments and tech updates

35:29 Upcoming AI releases and trends

Keywords: 

Kimmy K3, Moonshot AI, open source AI model, 3 trillion parameter model, Chinese AI, Alibaba, Tencent, AI lawsuits, Meta layoffs, AI-powered layoff decisions, internal AI systems, keystroke monitoring, Anthropic Fable Five, Mythos Five, Google DeepMind, Demis Hassabis, AI regulatory watchdog, FINRA-style oversight, Satya Nadella, Microsoft AI, Anthropic criticism, editorial controls, zero data retention, AI companion device, OpenAI hardware, ChatGPT sync, Apple lawsuit, personal AI speaker, model benchmarks, GPT-5.6 Soul, AI model competition, Gemini 3.5 Pro, Alphabet, model delay, software code generation, AI cloud infrastructure, enterprise AI, AI training data, AI security, generative AI, AI model export restrictions, US-China AI rivalry, AI market impact, fine-tuning large models, AI model pricing, data center construction moratorium, cybersecurity patching, AI job impact, Nobel laureates AI letter, AI search, Spotify voice assistant, Gemini personal avatars, Perplexity AI, Claude Code, Codex, project management AI, AI memory features.

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Is Kimi K3 the shocker of 2026? 

Could be. 

Now, we have a new (soon to be) Open Model that’s competing with Fable 5 and GPT-5.6, a feat few would have believed possible. 

And that was the only new and important drop this week in AI. 

Claude brought useful browser to the desktop, ChatGPT made a big fix to how ChatGPT Work works and Google rolled out avatars that could change content creation. 

Don’t miss our Friday Features show, where we recap the most important AI updates and features you can use today. 

Claude Desktop Gets Upgrade, New Open Source Model Shocks, ChatGPT Desktop Gets Better and 7 More AI Features You Can Use Today -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Anthropic Claude Desktop App Browser UpgradeOpenAI ChatGPT Work Desktop App ImprovementsChatGPT Universal Search Feature LaunchSuperhuman Email Auto-Draft with GPT-4Spotify AI Voice/Text Conversation FeatureGemini Omni Personal Avatar Video CreationGoogle Vids Integration with Personal AvatarsMoonshot Kimmy K3 Open Source Model ReleaseKimmy K3 vs Fable 5 and GPT-5.6 Benchmarks

Timestamps:

00:00 New open source AI model release

03:41 Microsoft Copilot and Claude app updates

07:22 Improving chat history search

12:30 Spotify's data personalization benefits

14:52 Launching Google Avatar Feature

18:24 Mainstream avatar video tools

21:33 Improved ChatGPT project syncing

24:15 Introducing Kimmy K Three Model

29:30 New Kimmy k three for enterprises

30:45 Friday feature show wrap-up

Keywords: 

Claude desktop, Claude desktop upgrade, open source AI model, proprietary AI, open vs closed AI, Anthropic, built-in browser, Claude app, API docs, browser integration, permissions card, security layers, ChatGPT desktop app, OpenAI, universal search, ChatGPT search, chat history, project sync, mobile AI apps, Codex, ChatGPT work, Codex mode, Superhuman mail, auto draft, Anthropic Frontier models, GPT-3.5, Gmail integration, Outlook integration, Spotify, Talk to Spotify, personalized AI conversation, Gemini Omni, Google Gemini, personal avatars, Google Vids, video editing AI, video avatars, L&D AI, content creation with AI, Kimi k3, Moonshot AI, 2.8 trillion parameter model, 1 million token context, vision mode, benchmark leaderboards, Fable 5, GPT 5.6, Opus 4.8, open model weights, self-host AI, enterprise AI solutions, long context AI, front-end design AI, subscription AI tools, API pricing, AI benchmark, arena rankings

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You've probably never heard of Inkling. 

It's the newest (and first) model from Thinking Machines Labs, and it could very well be a small snowball that picks up major momentum in today's enterprise AI landscape. 

If you haven’t heard of Thinking Machines, they’re led by Mira Murati, the former CTO at OpenAI. 

The big bet with Inkling? 

The future of AI could be using smaller models fine-tuned and optimized for smaller tasks. 

Will it work? 

Tune in live as we dive in. 

The Most Important AI Model You’ll Probably Never Use That Just Dropped -- An Everyday AI Chat With Jordan Wilson

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Topics Covered in This Episode:

Inkling AI Model Launch OverviewThinking Machines Lab Leadership HighlightInkling's Multimodal and Agentic CapabilitiesOpen Source vs. Proprietary AI ModelsEnterprise Procurement with American AI ModelsAI Fine Tuning as a Service (Tinker)Benchmark Scores: Inkling vs. Frontier ModelsCustomization and Model Shopping for EnterprisesAI Token Costs Driving Model EfficiencyBridgewater Case Study: AI Model CustomizationFrontier Models Enabling Efficient Fine-TuningFuture Trends: Specialized Small Language Models

Timestamps:

00:00 Inkling: A new AI model release

05:43 Inkling AI model details

09:08 China's dominance in open source AI

11:48 Launch and model updates discussed

15:21 Concerns over using Chinese open-source models

19:06 Training smaller AI models

20:22 Using GPT for AI Model Training

23:54 Predicting Rise of Small Language Models

28:38 Choosing the right AI model

Keywords: 

Inkling, Thinking Machines Lab, Meera Muradi, former OpenAI CTO, open source AI model, American AI model, fine tuning as a service, enterprise AI, multimodal AI, agentic models, customizable AI, Tinker, enterprise distribution, model procurement, Chinese open source models, strategic reset, model overhang, capabilities gap, AI model shopping, model routing, cost-conscious enterprises, artificial intelligence index, 975 billion parameter model, text-image-audio AI, open weights, proprietary AI models, customization accessibility, small language models, AI workflows, context window, Bridgewater use case, model distillation, GPU infrastructure, API costs, token efficiency, fine-tuned models, post training, AI competitive leverage, recurring financial judgment, AI benchmarks, middle tier models, automated model evaluation, privacy and workflow mapping, economical AI models, model rental, model routing automation.

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OpenAI's new ChatGPT Work is on fire. 🔥

The company said they've added 2 million users in the past two days alone. 

Wanna know a secret about it though? 

(It's kinda not new at all. It's just Codex in Chat clothing.) 

Regardless, millions of new users are realizing for the first time what it means to have an agent that can work for them 24/7. And even if you're not a technical builder, it's pretty easy to set up a swarm of agents to help with any kind of work. 

We show you how. 

ChatGPT Work: What’s New, Who It’s For and How to Use It -- An Everyday AI Chat With Jordan Wilson

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Topics Covered in This Episode:

ChatGPT Work vs Codex ComparisonOpenAI's Viral ChatGPT Work LaunchKey Differences: Desktop vs Web VersionsChatGPT Work User Growth and BacklashRemote Access and Computer Use FeaturesAgentic AI: Multiple Agents on DesktopAdvanced Workflow Automation CapabilitiesSyncing and Integration Challenges ExplainedDetailed Demo: Site and Skill CreationPower User Features: Sub-Agents & Goals

Timestamps:

00:00 Chad GPT Work launch details

04:03 Confusion over ChatGPT update

09:20 Preparing AI news stories

12:32 Highlighting improved computer use

13:57 2 million new users in 48 hours

17:35 Chat syncing and organization benefits

21:17 Model's unique context handling

25:59 Discussing Beehive and audience insights

29:50 Exploring Desktop AI Features

31:22 Ending and subscription reminder

Keywords: 

ChatGPT Work, ChatGPT for Work, OpenAI, Codex, Codex app, Codex for beginners, Codex update, AI agent, agentic AI, desktop AI app, web AI app, ChatGPT desktop, ChatGPT web, GPT-5.6, GPT 5.6 Soul, nontechnical AI users, business deliverables, remote feature, remote mode, mobile AI syncing, AI-powered automation, sub agents, multi-agent workflows, computer use, browser use, built-in browser, technical AI tasks, non-coders, usage credits, artifacts, interactive dashboards, AI context window, auto compaction, agent MD files, custom instructions, chain of thought, plan mode, steering, queuing, looping processes, context syncing, cloud code, team plan, private AI sites, personalized AI outputs, persistent agent workspace, skill creation, manual knowledge work.

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Of course you need data to fuel your AI. You know what's just as helpful though? 🤔

Decisions. 

And the conversation and rationale behind it.

As agents become more mainstream, the required structured data only goes so far. 

↳ What about how your team makes decisions? 
↳ Or the real reasons why one RFP landed and one flopped? 
↳ Or where Deborah in accounting keeps saving that KPI sheet and if it's actually approved or not? 

(Cmon Deborah.) 

The big advantage moving forward is giving your agents access to the rationale and context of your team's conversations. 

And that's the big unlock that Slack just unveiled. 

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Topics Covered in This Episode:

Shift from Single-Player to Multiplayer AI CollaborationSlackbot as AI Personal Assistant OverviewIntegrating AI Agents Across Enterprise Systems in SlackUnlocking Organizational Knowledge from Slack ConversationsBuilding and Iterating in the Open with SlackSlackbot’s Role in Headless, Agentic WorkflowsEnhancing Productivity with Slackbot’s Contextual ActionsTransitioning Business Strategy for Multiplayer Agentic Orchestration

Timestamps:

00:00 Managing Slack and Salesforce Growth

05:45 Navigating apps with Slackbot assistance

09:37 Using Slackbot to monitor channels

12:51 Building in the open with AI

16:07 Shopify's AI deployment strategy

17:00 Collaborative learning with Slack channels

22:04 Using Slack for CRM insights

24:41 Using Slack and AI Agents

27:23 Slack as a work operating system

29:41 Episode wrap-up and newsletter promo

Keywords: 

Slack, Slackbot, Slack AI, AI-powered collaboration, multiplayer AI, agentic AI, headless AI, agentic-first strategy, enterprise AI tools, AI personal assistant, conversational AI, AI-driven productivity, integrated AI agents, workplace collaboration tools, organizational context, unstructured data, Salesforce, Salesforce AI, Salesforce MCP, open platform, third-party integrations, Box, Atlassian, OpenAI, Perplexity, Linear, Vercel, productivity gains, employee productivity, digital growth systems, building in the open, public channels, private channels, reasoning data, first-party reasoning data, team communication, CRM integration, knowledge management, orchestration of work, AI skill deployment, AI-enabled workflows, work operating system, decision making in Slack, automation in Slack, business transformation through AI, collaborative intelligence, permissioned AI, cloud coworker

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Anthropic had a really bad week. 🥺

First of all, Claude Fable 5 got knocked off at the top by OpenAI's GPT-5.6 Sol. 

Then? 

Both Meta and Grok came for Anthorpic's API coding pie. 

Yikes. 

But in between the fights for tokens, we also go some big name lawsuits, weird study results and AI that talks to you more like a person than a robot. 

ChatGPT’s 5.6 Sol, Grok and Meta bounce back and OpenAI’s biggest week ever? And more AI News That Matters -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Anthropic Fable Models Release ControversyOpenAI GPT-5.6 Sol Government CollaborationGrok 4.5 and Meta Muse Spark LaunchApple Lawsuit Against OpenAI for Trade SecretsOpenAI GPT Live Voice Mode OverviewMicrosoft Copilot Shifts to Internal AI ModelsMeta Muse Image and Video AI ReleaseMeta Launches Iris Proprietary AI ChipOpenAI GPT-5.6 Performance BenchmarksOpenAI ChatGPT Work Desktop AgentU.S. Survey on AI Company OwnershipAnthropic Fable 5 Model Pricing Challenge

Timestamps:

00:00 OpenAI's busy week and competition

03:17 Apple vs OpenAI controversy

06:55 GPT Live dual-mode voice launch

11:06 Grok 4.5 release and impact

16:06 Microsoft's AI integration in use

19:16 Microsoft Copilot's learning curve challenges

22:34 AI policy and potential wealth distribution

26:36 Comparing AI model pricing

27:54 Meta's AI chip announcement

31:41 OpenAI product competition and updates

37:31 Predicting Fable five's future options

38:17 OpenAI undercutting Anthropic prices

Keywords: 

GPT-5.6 Sol, OpenAI, Anthropic, Fable, Mythos, Grok 4.5, Meta, Muse Spark 1.1, Muse Image, Muse Video, Meta AI, coding API, AI benchmarks, price per performance, live voice mode, ChatGPT for work, ChatGPT desktop app, Codex, Claude Code, Sonnet 5, Opus, Haiku, model routing, agentic AI systems, token efficiency, input tokens, output tokens, enterprise AI adoption, Microsoft Copilot, MAI models, token subsidy, sovereign wealth fund, AI company equity, Bernie Sanders AI bill, NVIDIA, AMD, GPU, Meta Iris chip, Cameo feature, data centers, deep seek models, AtCoder algorithm contest, API production use, China-linked backdoor, automatic call transcription, ByteDance SeedDream, generative AI tools, AI privacy backlash, pull request tab, diff view, multimodal context window, AI-driven document generation, learning curve, security permissions, cost efficiency, large language models

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Of course GPT-5.6 Sol is OpenAI’s best model yet. ☀️

Every new model is.

The real story is what OpenAI did around it.

Codex got a friendlier name, a broader audience, and a much bigger job.

ChatGPT Work is not just another mode.

It is OpenAI merging chat, coding, browsing, files, plugins, and actions into one work super app.

Today’s Everyday AI breaks down what actually changed, what is mostly packaging, and why Anthropic should be paying very close attention.

ChatGPT Work and GPT-5.6 Sol: What’s New, 5 Overlooked Features and 1 Hot Take -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

GPT-5.6 Soul Model Launch OverviewChatGPT Work Super App IntroductionCodex Platform Rebranding ExplainedSol, Terra, Luna Model Tier ComparisonUnified Plugins and Workflow IntegrationChatGPT Sites Expanded Access FeaturesChatGPT Work Mobile App Remote UpdatesAtlas Browser Integration in Super AppAdvanced Agentic Browser and AutomationPerformance Benchmarks: GPT-5.6 vs. Fable 5Pricing Structure and Cost EfficiencyAnthropic Competitive Landscape & Model Impact

Timestamps:

00:00 OpenAI's GPT 5.6 Soul release

05:40 Introducing the new GPT 5 models

07:23 Combining ChatGPT and Codex

10:30 Codex display options explained

14:39 Features of CHAD TBT on the web

18:28 Performance optimization with Sol Ultra

22:54 Comparing AI model costs

24:23 Why use Codex over the web

27:55 New Chatchifyd and Chat GPT Features

31:44 Automating podcast production tasks

33:20 Codex and Chrome extension features

38:17 AI model rankings and performance

40:44 Market dynamics and competition impact

Keywords: 

GPT-5.6, GPT-5.6 Soul, GPT-5.6 Terra, GPT-5.6 Luna, OpenAI, ChatGPT Work, ChatGPT super app, agentic platform, Codex, Atlas browser, Slack bot, AI model benchmarks, performance per dollar, AI execution, knowledge work automation, AI-powered desktop app, task scheduling, multi-agent orchestration, Ultra mode, plugin integration, context gathering, automated spreadsheet creation, AI dashboards, interactive web apps, team collaboration tools, cost-efficient AI, recuring tasks, mobile AI control, remote desktop AI, Chrome extension, browser automation, password management, cookies support, scheduled tasks, file access, AI competitive landscape, Anthropic, Claude Fable 5, Claude Opus, artificial analysis coding index, API pricing, model performance, AI work productivity, Slack integration, knowledge worker agent orchestration

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All eyes will be on GPT-5.6 Sol today. ☀️

But some might argue, that won't even be the ChatGPT maker's biggest release this week. 

That's because we finally have conversational AI that just works in OpenAI's new GPT-Live model inside ChatGPT. 

And that's not the only big release this week: we had big drops from Meta, Grok, Google and more. 

The most important move you can make each week is to quickly know the newest features you can ACTUALLY use. And that's what our Friday Features show is all about. (Brought to you a day early, obviously.) 

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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

OpenAI GPT Live Voice Model LaunchOpenAI GPT Live Duplex Conversational FeaturesGPT Live Access Free and Paid TiersOpenAI Developer API: GPT Real Time 2.1 ReleaseXAI Grok 4.5 Model for Software EngineeringGrok 4.5 Token Efficiency and BenchmarksNotion Agents Standalone iPhone App ReleaseGoogle Voice AI Gemini-Powered Call SummariesByteDance SeeDream 5.0 Pro Image Model LaunchByteDance Image Model Infographic and Layer FeaturesMeta Muse Image and Video Model RolloutMeta AI Agent Image Generation Through Instagram

Timestamps:

00:00 New OpenAI voice model

04:26 New AI voice model launch

06:26 Introducing GPT Live Voice Models

11:15 OpenAI's new GPT model for developers

15:19 Using the Grok app

19:20 Notion's AI paid features explained

22:50 AI features for small businesses

23:41 New image model contenders

27:14 New AI image model feature

31:45 Meta's AI features and updates

34:05 New AI tools and updates

Keywords: 

GPT Live, OpenAI, real-time voice model, duplex architecture, AI voice assistant, full duplex AI, natural language AI, GPT 5.5, model release, AI updates, Slack bot, personal AI agent, AI-powered productivity, ChatGPT voice features, advanced voice mode, Gemini Live, Claude voice, web search AI, context-aware AI, conversational AI, AI voice brainstorming, hands-free AI, developer API, GPT real time 2.1, cost-efficient AI, latency reduction, tool calling, code execution, software engineering AI, Grok 4.5, XAI, multi-step agentic work, Cursor, token efficiency, AI benchmarks, Notion agents, iPhone AI app, workspace automation, Gemini-powered Google Voice, AI note-taking, ByteDance, C Dream 5.0 Pro, AI image model, infographic AI, Meta, Muse image model, video AI, Instagram AI, agentic self-refinement, multimodal AI, branded visuals, AI for social media, marketing automation, AI-driven design, AI-powered workflows, API integration, team collaboration AI.

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Doomscrolling vertical videos is just brain rot, right? 🥴

Not anymore. 

NotebookLM just released its new AI-powered vertical video shorts tool that changes individualized learning on the go. 

We know what you're thinking: I'm not a student -- why do I need short-form video? 

Well, that's exactly why we're dishing our 5 best business use-cases and 5 tips to get expert results right away. 

(Because this new NotebookLM feature has the potential to unlock new learning avenues for your entire org.) 

NotebookLM's New Cinematic Shorts: How They work, 5 Tips and 5 Best Use Cases -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

NotebookLM Cinematic Shorts Feature OverviewHow NotebookLM Vertical Videos WorkGoogle Nano Banana 2 Lite Engine DetailsFree vs. Paid NotebookLM Video LimitsCustom Prompting for Shorts Best PracticesExplainer, Cinematic, and Short Video TypesStep-by-Step Studio Workflow in NotebookLMTop 5 Use Cases for NotebookLM ShortsFive Expert Tips for Effective AI ShortsQuality, Rendering Times, and Editing Limits

Timestamps:

00:00 Slack's new AI feature

05:50 Uploading and chatting with sources

08:57 Creating a 60-second AI promo

10:39 Rendering detailed video prompts

15:46 Limitations of animated shorts

16:36 Using Google AI Studio Templates

19:51 Personalizing content for specific audiences

23:08 Executive briefings on the go

28:09 Fixing broken workflows with everyday AI

30:46 AI at Work on Wednesdays Wrap-Up

Keywords: 

NotebookLM, Google cinematic shorts, vertical video AI, AI-powered video shorts, personalized AI video, AI learning tool, AI voice over, captions in AI video, mobile AI apps, NotebookLM tips, AI video use cases, uploading sources to AI, PDF to video AI, Google Gemini, AI context grounding, hallucination-free AI, Nano Banana 2 Lite, Gemini 3.1 Flash, video overview formats, explainer videos, cinematic AI video, AI video daily limits, free versus paid AI plans, prompt engineering, brand guidelines in AI, call-to-action in AI video, executive briefings AI, customer education video, FAQ explainer shorts, repurposing webinars, podcast to short video, marketing content AI, internal training AI, SOP to video, playbook animation, animation image model, audio overviews, slide deck generation, workflow automation AI, AI for business, AI video generation, Google AI Studio, context-based video, custom video prompts, source grounded AI content, AI onboarding videos, social media AI video, interactive learning AI.

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AI’s all-you-can-eat era is ending. 🍲

For years, one subscription felt like unlimited access to frontier models.

But that business model for the AI labs apparently breaks when agents can now run for days, use tools, retry work and burn through tokens.

And with Anthropic's powerful Fable 5 model exiting subscription tiers today and moving to API only pricing, it's as imperative of a time as ever to figure out your AI spend strategy. 

Frontier AI is becoming a metered utility. On today's show, we teach you how to deal with it. 

AI Cost Control 101: Why Your Chatbot Bill Is Becoming a Board-Level Problem -- An Everyday AI Chat with Jordan Wilson

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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

End of Unlimited AI Subscription PlansAnthropic Fable Five Subscription RemovalCopilot and Grok Switching to Pay-Per-UseEnterprise AI Cost Control ChallengesToken Consumption in Agentic AI ModelsBoard-Level AI Spending ConcernsStrategies for AI Spend OptimizationFine-Tuning and Multi-Model Routing SolutionsSeven-Step AI Cost Reduction Playbook

Timestamps:

00:00 Rising AI costs and usage

05:18 AI service cost challenges

10:18 Cost of AI and OpenAI's Future

14:18 Chatbot costs becoming a big issue

15:10 Automating work with desktop agents

19:26 Hidden costs of automation loops

24:13 The future of model mixtures

25:16 Microsoft Foundry's fine-tuning service

31:20 Fine tuning AI models

32:13 Closing thoughts on AI future

Keywords: 

AI cost control, chatbot bill, AI spend, token efficiency, metered AI, agentic models, AI subscription plans, Fable Five, Anthropic, API pricing, OpenAI, GPT-5.6, Copilot cowork, GitHub Copilot, Google Gemini, AI credits, usage limits, credit-based system, Grok, NeoCloud, board-level AI concerns, token maxing, spending limits, enterprise AI, SMB advantage, API token pricing, token-based billing, model routing, open source AI models, GLM 5.2, Kimmy 2.7, caching, difficulty-based routing, fine-tuning models, Microsoft Foundry, fine-tuning as a service, Thinking Machines Lab, tuned specialists, mixture of models, AI routers, perplexity, Merge, spend routers, AI budgeting, overage alerts, default model selection, AI model compaction, automation, human-in-the-loop AI, context length limits, token burn rate, Jovan’s paradox, AI tool escalation

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This was upside down week in AI news. 😵

Microsoft is starting a new AI company. 

Anthropic is getting into pharma and drugs. 

And OpenAI might be giving 5% equity to the U.S. government? 

We'll help you sort it all out on our AI News That Matters show. 

Fable 5 is (kinda) Back, OpenAI Might Give Gov Equity, Microsoft’s new AI Company and more AI News -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Microsoft Frontier Company $2.5B AI InvestmentAnthropic Claude Science Drug Discovery LaunchMetaCompute Cloud AI Infrastructure BusinessCloudflare Blocks AI Crawlers on Ad-Supported PagesUS Government Voluntary AI Model StandardsAnthropic Fable 5 Model Reinstatement UpdatesFable 5 Enterprise Data Retention Policy ChangesOpenAI Considers US Government 5% Equity StakeAnthropic SONNET 5 Model ReleaseMeta Watermelon Model RumorsAlibaba Bans Claude Code over Security ConcernsAnthropic and Samsung Custom AI Chip NewsOpenAI GPT 5.6 Soul Ultra in CodexUS House Kids Act AI Safety LegislationGoogle Gemini Omni Flash and Nano Banana 2 LiteCursor and OpenClaw Mobile App Launches

Timestamps:

00:00 Microsoft's big AI investment

05:05 AI experts deploying to companies

07:22 Anthropic's move into drug development

09:47 Meta's new cloud venture

13:29 Cloudflare blocks AI crawlers

16:32 Impact of AI on web traffic

19:37 Government oversight on AI releases

24:27 Fable Five model reinstated

29:19 AI firms discussing public financial stakes

30:46 AI companies preparing to go public

34:14 AI updates and tech progress

Keywords: 

Microsoft Frontier Company, Microsoft AI investment, forward deployed engineering, FTE, AI consulting services, Amazon AI initiative, OpenAI, Anthropic, Claude Science, drug discovery AI, pharma sector AI, AI model integration, MetaCompute, Meta cloud infrastructure, AI computing capacity, Amazon Web Services competitor, Microsoft Azure competitor, Google Cloud competitor, AI data centers, AI infrastructure, AI CapEx, supply and demand AI, SpaceX, Grok, AI compute partnerships, Cloudflare AI crawlers, ad supported pages AI access, Googlebot, AI training data, AI search crawlers, pay per crawl model, x402 standard, Stripe, AI licensing deals, digital publishing AI impact, national security AI standards, AI export controls, Codex, GPT 5.6, AI voluntary standards, executive order AI, advanced AI model oversight, cybersecurity classifiers, AI data retention policy, API access AI models, enterprise AI privacy, Mythos 5, Fable 5, model rollout delays, US government AI regulation, OpenAI government equity, sovereign wealth fund AI, Anthropic Samsung AI chips, Apple MCP server, Meta Muse model, AI agent web debugging, Kids Act AI, AI safety rules, Ford AI quality checks, Grok 4.5, NotebookLM vertical video, ChatGPT finance app, Cursor iOS app, AI feature releases

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Fable 5 is out, but it'll be gone (again) before you know it. 

While Anthropic's powerful Mythos 5 is out for the masses for another 5 days, it might be their Sonnet 5 model that's your next daily driver. 

Even better news? If you're an iPhone user, your OpenClaw and Cursor accounts are gonna get a lot more use. 

Yeah, it's a short Holiday week in the U.S., but the AI companies didn't stop shipping. From new models to new ways to work, these are 7 new AI features available now that you should be using. 

Fable 5 and Sonnet 5 Released, OpenClaw on Your iPhone, NotebookLM's New Video Format and 7 More AI Features You Need Now

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Topics Covered in This Episode:

Anthropic Sonnet 5 Model OverviewSonnet 5 vs Opus 4.8 PerformanceAnthropic Model Naming Confusion ExplainedSonnet 5 Pricing and API Cost AnalysisSonnet 5 Use Cases for Daily WorkNotebookLM 60-Second AI Video GenerationNotebookLM Cinematic Video Format ReviewChatGPT Finance Feature: Plaid IntegrationChatGPT Finance Rollout and Security DetailsTwitter/X MCP Model Context Protocol LaunchMCP API Access for AI Agents ExplainedOpenClaw iOS and Android App LaunchOpenClaw Mobile Bridge Setup and UsageCursor iOS App for AI Code AgentsCursor Cloud Agents and Mobile NotificationsAnthropic Fable 5 Limited-Time AvailabilityFable 5 Cost Structure and GuardrailsAnthropic Frontier Models and US Regulations

Timestamps:

00:00 Recent AI developments and updates

05:54 API pricing and usage strategies

07:19 Choosing the right AI model

11:17 Notebook LM paid user rollout

16:17 ChatGPT's new personal finance tool

17:35 Integrating ChatGPT with Plaid for Finance

21:35 Streamlining MCP setup for developers

24:40 Introducing the OpenClaw monitoring app

29:33 Talking about upcoming super apps

32:03 Fable 5 availability announcement

34:43 Building projects with Fable 5

Keywords: 

Anthropic, Fable 5, Sonnet 5, Opus 4.8, Haiku 4.5, Mythos 5, Large Language Models, AI model naming, AI benchmarks, agentic models, adaptive thinking, 1 million context window, token output, AI hallucination rates, Anthropic subscription plan, AI API pricing, AI free plans, ChatGPT Finance, Plaid integration, finance AI assistant, OpenAI personal finance, financial data privacy, iOS AI apps, Android AI apps, OpenClaw, open source AI agent, AI mobile companion app, NotebookLM, AI video generation, vertical video, cinematic video, Gemini paid users, educational AI videos, doom scrolling video format, AI-powered coding agents, Cursor, cloud AI agents, remote desktop AI, iOS live activities, PR merge on mobile, X API, Twitter MCP server, social listening AI, developer AI tools, AI super app, project Glasswing, US AI export controls, government AI regulation, classifier guardrails, secure AI data, AI for marketers, subscription replacements, Codex, Claude cowork, Claude code, Codex remote control, always-on AI.

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Here's a little secret: ChatGPT tasks are the Gateway Agent. 🤖

(And you've probably been overlooking the recent update that made them crazy powerful.) 

About two weeks ago, OpenAI announced the sunset of its proactive Pulse feature and instead folded those efforts in an upgraded version of their previously released ChatGPT Tasks. 

An d while most overlooked the actual new features in Tasks, it's actually the under the hood updates over the past year since Tasks were originally released that make it more powerful than ever. 

Join us for AI at Work on Wednesdays as we share what's new and dish 5 secret shortcuts for Tasks you should be using. 

ChatGPT Tasks: What’s New, How They Work and 5 Secret Shortcuts to Use Today -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

ChatGPT Pulse Sunsetting & TransitionNew Features in ChatGPT TasksChatGPT Tasks Usage Limits by PlanChatGPT Tasks User Interface UpdatesBest Practices for Scheduling TasksTask Scheduling with App IntegrationsEditing and Managing Scheduled TasksSecret Shortcuts for ChatGPT TasksMCP Developer Mode and IntegrationAgentic Capabilities of ChatGPT AppsTasks Functionality Within ProjectsStacking Memory for Task Automation

Timestamps:

00:00 Overview of ChatGPT tasks

05:06 New task scheduling features

06:55 Removing Pulse feature complaints

11:58 Scheduling tasks with AI integration

12:58 AI automating daily scheduling

16:54 Using Chegg GPT for stock updates

20:51 Updating developer mode functionality

23:25 App capabilities have evolved

26:56 Using ChatGPT to simplify tasks

Keywords: 

ChatGPT tasks, ChatGPT scheduled tasks, OpenAI, AI automation, proactive AI, ChatGPT Pulse, scheduled task creation, recurring tasks, ChatGPT task features, ChatGPT task shortcuts, ChatGPT integrations, AI apps, model context protocol, MCP, developer mode, ChatGPT plus, ChatGPT pro plan, ChatGPT enterprise, workflow automation, Google Calendar integration, Gmail integration, Google Drive integration, project management AI, AI memory, context stacking, app connectivity, agentic apps, AI scheduling, team plan, custom prompts, ChatGPT sidebar, web interface, mobile interface, projects feature, advanced settings, notification improvements, automated daily summary, interactive charts, financial tracking AI, Codex super app, AI cheat sheet, end date scheduling, high thinking mode, data enrichment, AI personal assistant

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All frontier AI models are reportedly delayed. ⏳

New reports show that frontier models there were supposed to be released this month like GPT-5.6 and Gemini 3.5 Pro have been delayed as a result of the ongoing Anthropic vs. U.S. Government dispute. 

So while we may have to wait a few more weeks for SOTA AI models, we DID get a ton of new AI features and model updates that are available now. 

Tune in as we dish the 7 new AI features that can change your workflow today. 

Claude Tag, Gemini Home, Copilot Excel Skills and 7 other AI Features Available Today you Should Be Using — An Everyday AI Chat with Jordan Wilson

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

GPT 5.5 Instant Model Upgrade DetailsGoogle Finance AI Portfolio Tracker LaunchGemini-Powered Google Smart Speaker ReleaseClaude Tag Collaboration in Slack ExplainedCanva Grow 2.0 Automated Marketing PlatformGemini in Chrome Select from Screen FeatureMicrosoft Copilot Skills Automation in Excel

Timestamps:

00:00 Upcoming AI Model Releases Delayed

05:44 Switching between AI models

07:15 AI-powered portfolio analysis tools

12:51 Setting tasks with voice commands

15:20 Introducing Claude team plan

17:55 Discussing Anthropic's new feature

21:50 Canva's New Feature at Cannes

25:11 New Chrome Feature Overview

28:45 Using Copilot skills in Excel

31:33 Show schedule and subscribing

Keywords: 

GPT 5.5 Instant, OpenAI, AI model update, conversational AI, large language models, Gemini 3.5 Pro, Google AI, Anthropic, Claude Tag, Slack integration, Claude Enterprise, Claude Team Plan, Claude Slack app, multiplayer AI in Slack, channel manager AI, proactive AI assistant, Google Finance app, portfolio tracking, AI research tool, finance AI, Android AI apps, iOS AI rollout, AI-powered key moments, smart speakers, Gemini for Home Assistant, Google smart speaker, natural language conversations, Siri, Alexa Plus, bidirectional voice mode, Google Calendar integration, AI home assistant, Canva Grow 2.0, performance marketing AI, ad automation, campaign optimization AI, Magic Layers integration, LinkedIn ads, TikTok ads, Meta ads, Gemini in Chrome, select from screen, computer use capabilities, Gemini 3.5 Flash, Chrome AI features, Microsoft Copilot, Excel AI, Copilot skills, reusable Copilot workflows, finance skills in Excel, business intelligence AI, custom Excel skills, markdown skills for AI

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Good news: OpenAI's GPT-5.6 has been released! 🥳
Bad news: 99.9% of users can't access it. 😥

While OpenAI has had to change their release approach due to increased government involvement in AI oversight, the majority of AI leaders are stuck in a new bind: 

Sitting and waiting for AI access. 

Since Anthropic's Fable fights with the U.S. government, the Trump admin has increased its regulatory oversight. 

But don't sit and wait. Because when availability opens to all, your org will need to be ready. We'll help you understand the lay of the new land. 

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Website: YourEverydayAI.com
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Connect with Jordan on LinkedIn

Topics Covered in This Episode:

OpenAI GPT-5.6 Announcement & DelayFederal Government’s AI Model Review ProcessGPT-5.6 Model Family: Sol, Terra, Luna ExplainedNew Durable Product Tiers in OpenAI ModelsBreakdown of GPT-5.6 Sol, Terra, Luna PricingGPT-5.6 Benchmarks: Coding and Agentic TasksSafety, Cybersecurity, and Bio-Risk CapabilitiesAnthropic Shutdown Compared to OpenAI LaunchUS-China AI Race and Model Distillation IssuesEnterprise AI Supply Chain & Access RisksOperator Playbook: Model Fallbacks and Routing

Timestamps:

00:00 Delayed GPT-5.6 release concerns

04:37 Explaining GPT 5.6 Model Tiers

08:50 Luna usage by developers

11:08 Previewing new model with US government

12:53 OpenAI's government collaboration concerns

15:55 Cutting Costs on AI Tokens

19:02 OpenAI model safety concerns

24:13 Anthropic's export order issue

27:46 Accessing the Start Here series

30:11 US enterprises and Chinese open source models

34:10 Managing AI model access risks

36:41 Navigating AI model restrictions

Keywords: 

GPT-5.6, OpenAI, AI model update, GPT upgrade, new language model, US government AI regulation, Frontier Labs, AI safety, government scrutiny, model access limitations, Sol Terra Luna, durable product tiers, API access, Codex, enterprise AI, model benchmarking, Sol model, Terra model, Luna model, AI cost efficiency, token pricing, cybersecurity capabilities, biological chemical capabilities, agentic workloads, coding benchmarks, terminal bench, exploit bench, safety stack, model overstepping instructions, model card, emergent capabilities, cyber executive order, federal involvement, Anthropic, Mythos 5, Fable 5, AI export controls, model shutdown, AI race US vs China, model distillation, Chinese labs, proprietary models, open source AI, AI military use, model routing, model fallback, supply chain risk, AI democratization, enterprise AI strategy, model subscription, model release restrictions, AI workflow optimization, artificial intelligence index, LM arena, GLM 5.2, Google Gemini 3.5 Pro

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OpenAI has released GPT-5.6, but the majority of us will have to wait. ⌚

After the Anthropic vs. U.S. Government feud, it now looks like we'll have to wait for frontier models. 

That wasn't the only big AI news headline that might change your company's AI strategy. 

Anthropic got the green light to roll out Mythos 5 to a select few, Google reportedly extended its strike team to catch up on coding and more. 

OpenAI’s limited release of GPT-5.6, Mythos starts slow reinstatement, OpenAI gets spicy and more AI news -- An Everyday AI chat with Jordan Wilson

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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

OpenAI GPT-5.6 Limited Release ExplainedOpenAI Sol, Terra, Luna Model NamingUS Government Restrictions on AI RolloutsAnthropic Mythos 5 Access and StandoffAnthropic Fable 5 Suspension DetailsGoogle Gemini 3.5 Pro Release DelayedGoogle's AI Coding Mid-Training InitiativeRaiseUS Nonprofit: AI Workforce AdaptationAnthropic Accuses Alibaba of Model DistillationOpenAI & Broadcom Unveil Jalapeno AI ChipKey AI Industry Partnerships & Product Leaks

Timestamps:

00:00 OpenAI's GPT 5.6 limited release

06:14 OpenAI's new model release details

09:54 Access suspension and negotiations

13:18 Google's AI strategy and delays

16:33 Anticipating Gemini 3.5 Pro Release

20:40 Accusations of AI model theft

24:48 OpenAI and Broadcom chip partnership

28:05 OpenAI's recent developments and updates

29:56 OpenAI and AI weekly updates

Keywords: 

GPT-5.6, OpenAI, Anthropic, Mythos 5, Fable 5, Frontier models, Gemini 3.5 Pro, Google, model rollout, limited AI access, AI safety, US government AI regulation, Sol model, Terra model, Luna model, Max reasoning mode, Ultra mode, sub agents, advanced AI benchmarks, coding workflows, cybersecurity, third-party AI analysis, government licensing, AI model guardrails, AI model democratization, model naming scheme, model availability, AI model security, jailbreak resistance, safety filters, general model access, trusted testers, AI export control, national security, Anthropic pullback, supply chain risk, defense department, AI industry competition, talent loss, AI coding, mid training, engineering agents, AI strike team, RaiseUS nonprofit, workforce AI disruption, technology policy, industrial scale distillation, Alibaba, AI model theft, China-US tech tensions, distillation attacks, Jalapeno AI chip, Broadcom, AI inference, custom hardware, data center GPUs, Microsoft, Meta, Elastic compute, AI-powered career navigation, Slack Claude Tag, Canva Grow 2.0, Copilot skills, AI ad creation, AI automation, DigitalOcean plugin, Apple hardware AI, smart glasses, Vision Pro, portfolio tracking AI, Google Finance, home smart speakers, voice AI, GLM 5.2, open source AI, US labor market AI effects, AI job disruption, model leaks, government approval delays.

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