If AI Agents have capabilities just like humans, should we treat them like humans? 

If something goes wrong in an agentic workflow, who takes the blame if they're all just nameless, faceless bots? 

Join us as we talk about it. 

Do AI Agents need Identities like humans? An Everyday AI Chat with Jordan Wilson and Okta's Eric Kelleher

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Topics Covered in This Episode:

AI Agents in Enterprise: Opportunities and RisksAgentic AI: Human vs. Agent ResponsibilitySecuring AI Agent Identities: Okta?s ApproachEvolution of Identity Management for AI AgentsIdentity Governance and Auditability for AgentsAgent Impersonation and Cybersecurity ThreatsRogue AI Agent Behaviors and Case StudiesZero Trust Security: Agentic Age ChallengesOpen Standards: Cross App Access ProtocolBenefits of Identifying AI Agents Like HumansResponsible AI Adoption and Ethical ConcernsPractical Steps to Secure Agentic Identity

Timestamps:

00:00 "AI Agents: Power and Pitfalls"

05:38 "Automating Identity and Access Governance"

06:49 Balancing Innovation and AI Security

11:57 "Addressing Rogue AI Threats"

17:17 "Securing Real AI Agents"

19:56 "Balancing AI Innovation and Security"

24:13 "Standards for Identifying Nonhuman Agents"

27:24 "AI Agents: 24/7 Security"

29:48 Securing and Managing Agent Identities

Keywords: 

AI agents, agentic AI, AI agent identity, securing AI agents, agentic identities, AI identity management, nonhuman identity, machine identity, multi agent orchestration, agent impersonation, agent governance, securing agents, compromised identity, cyber attacks, threat actors, state actors, privileged access management, identity governance, identity directory, auditability, credential vaulting, agent provisioning, agent deprovisioning, automation, zero trust, AI authorization, AI authentication, cross app access, model context protocol, identity security posture management, rogue agent behavior, agent discovery, business logic, anomaly detection, technology guardrails, responsible AI, ethical AI,

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Wait.... AI can do THAT now? ?

(Yes, it can.) 

Two things that consumer AI has never been able to do very well unless you were a cracked dev: access your computer and control your browser. Welp.... that's changed with Claude Cowork. 

Now, you can combine the best of Claude and Claude Code with the nitty gritty human glue work that we find ourselves doing more and more in the age of AI. 

So, how might Claude Cowork change your workflow? 

Join us on this AI at Work on Wednesdays as we give you the 101 on Claude Cowork.

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Topics Covered in This Episode:

Claude Code vs. Claude Cowork OverviewClaude Cowork's Nontechnical User FeaturesHands-On Claude Cowork Live DemoClaude Cowork Local File Access ExplainedClaude Cowork vs. ChatGPT Desktop ComparisonClaude Cowork Browser and Terminal ControlClaude Cowork Security & Privacy ConsiderationsPractical Claude Cowork Use Case ExamplesClaude Cowork Mac-Only and Max Plan AccessClaude Cowork Workflow Automation for Non-DevelopersClaude Cowork User Interface WalkthroughClaude Cowork Real-Time Task Management

Timestamps:

00:00 "Claude Cowork Revolutionizes AI Access"

06:06 "Claude Connectors and Limitations"

09:02 "Claude Cowork: User-Friendly AI Interface"

12:12 "Claude Max Subscription Value Debate"

15:47 "Real-Time Feedback with Claude"

19:06 "Claude Features and Workflow Overview"

22:40 Custom Task Management Made Simple

24:24 "Partner with Experts in GenAI"

28:15 "Organizing Files with AI"

33:22 "Software Simplifies My Tasks"

34:42 "Stay Ahead with Claude Cowork"

Keywords: 

Claude Cowork, Claude Code, Anthropic, AI interface, nontechnical AI tools, AI coworker, AI for productivity, desktop AI app, Opus 4.5, Claude Max, AI automation, local file access, browser control, cloud services integration, connectors, Google Drive, Gmail, Google Calendar, API limits, AI for Mac, GUI for AI, graphical user interface, AI skills, automated workflows, document automation, presentation automation, browser tasks, parallel task processing, project management automation, Kanban style CRM, AI-powered coding, code generation, local terminal access, chatbot integration, workflow automation,

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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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Welp. That was wild. ?

Even though we didn't get a major new AI model, the entire AI landscape just shifted. 

- Google got official with Apple. 
- ChatGPT is bringing ads to free (and paid users) 
- Anthropic rolled out what I think will be the future of work
- And Gemini can now get VERY personal. 

Did you miss anything? We'll get you caught up. 

OpenAI announces ChatGPT ads, Gemini gets personal with you and official with Apple, Claude Cowork launch and more -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Wikimedia Licensing Deals for AI Training DataApple Partners with Google Gemini AIOpenAI Cerabra $10B Chip PartnershipGemini Personal Intelligence Google Apps IntegrationGemini Shopping Features With Walmart & ShopifyNVIDIA and Eli Lilly $1B AI Drug LabAnthropic Claude CoWork Desktop AI AgentOpenAI ChatGPT Ads Rollout and Subscription Changes

Timestamps:

00:00 "Wikimedia's AI Data Licensing Deals"

06:26 Apple, OpenAI Partnership Overview

09:09 "Google's Gemini Personal AI Launch"

13:19 "AI Revolutionizes Instant Shopping"

14:36 "AI Revolutionizing Drug Discovery"

19:16 "Mac-Only Update Announcement"

21:41 "ChatGPT Ads: Transparent and Limited"

28:07 AI Advancements and Partnerships Unveiled

30:29 AI Advancements and Applications Update

32:30 "Everyday AI Wrap-Up"

Keywords: 

ChatGPT ads, OpenAI, AI news, Gemini personal intelligence, Google Gemini, Apple partnership, Claude CoWork, Anthropic, Large Language Models, Wikipedia licensing deal, Wikimedia Foundation, Amazon, Meta, Microsoft, Mistral, Perplexity, AI training data, API partnerships, Gemini shopping features, Walmart, Wayfair, Shopify, AI-powered shopping, NVIDIA, Eli Lilly, AI drug discovery, Cerabra Systems, AI chip market, Sam Altman, Compute infrastructure, Google AI Pro, Google AI Ultra, Personalized AI, AI privacy, Cloud models, Chrome extension, Knowledge bases, Persistent memories, SimilarWeb data, AI Slackbot, Salesforce, Medical AI, MedGemma, Medical transcription AI, AI IPO rumors, Merge Labs, Brain-computer interface, GPT-4, Codex, Resume assistant, Job search AI, Vertical video generation, Translate Gemma,

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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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AI agents can do our work. OK, sweet. But they can also do.... a lot of bad. Yikes. ?

So how should enterprises find the middles.

Cuz let's be honest. If your company is not using AI agents in 2026, you're going to fall FAR behind.

But if you don't have the 101 of security and guardrails on point, those AI agents can do more harm than good.

Wish you could get the answers directly from a Fortune 500 CEO?

That's exactly what Concentrix's Chris Caldwell is going to provide. Make sure to join us!

The Rise of AI Assistants: The undeniable upside and the ugly downside -- An Everyday AI Chat with Jordan Wilson and Concentrix's Chris Caldwell.

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Topics Covered in This Episode:

The Rise of AI Assistants: Upside & DownsideAgentic AI Impact on Customer ExperienceAI Assistants Automating Complex Consumer TasksAgentic AI Empowering Customer Complaint StrategiesDeepfakes & Voice Cloning Risks in AICybersecurity Challenges: AI-Powered AttacksConsumer Personal Digital Assistants Adoption CurvePreparing Business Strategy for AI Assistant EraHuman vs. AI Agents: Customer Service BalanceLow-Tech Solutions to High-Tech AI AbuseAgent-to-Agent Communication in Enterprise AI

Timestamps:

00:00 "AI Assistants: Benefits and Risks"

04:13 "Generative AI Enhancing Experiences"

06:43 "AI Risks and Capabilities"

10:20 "Digital Assistants' Rapid Growth Ahead"

14:31 "Companion AI vs Delegated AI"

19:01 AI Utilization and Validation Practices

19:44 "Tool for Driving Actions"

24:28 "Brands Must Balance AI & Humanity"

26:40 "Everyday AI: Subscribe & Connect"

Keywords: 

AI assistants, agentic AI, AI-powered customer experience, AI bots, digital personal assistants, customer journey automation, AI in customer service, automated support, multimodal bots, AI-enabled fraud, deepfakes, voice cloning, cybersecurity risks, identity validation, customer engagement, 24/7 support automation, automated complaint handling,

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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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Connect with Jordan on LinkedIn


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

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There's hundreds of AI tools released every day. 

Most are garbage. 

But these AI tools and model updates were the BANGERS that defined the year. 

So what made our top list? 

Tune in and find out. 

Top AI Tools and Releases of 2025 -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Top AI Tools and Releases 2025 ListCriteria for AI Tool Selection 2025Honorable Mentions: AI Tools ExcludedCanva Visual Suite 2.0 Feature ReviewChatGPT Atlas Agentic Browser CapabilitiesChatGPT Deep Research Agent OverviewClaude Code Terminal Coding Agent ExplainedClaude Opus 4.5 Model BenchmarksCursor 2.0 Multi-Agent Code Editor UpdateDeepSeek v3 Open Source AI ModelsGenSpark Multi-Agent Workspace FeaturesGemini 3 Flash Model IntegrationGemini 3 Pro Multimodal Model ReviewGemini Canvas Mode Interactive WorkspaceGPT Image 1.5 Advanced GenerationGPT 5.2 Pro Expert Reasoning AbilitiesLovable AI Full Stack App BuilderManus Super Agent Workflow AutomationChatGPT Pulse Proactive AI Daily BriefingMicrosoft 365 Copilot Agent ModesNano Banana Pro Image Reasoning CapabilitiesNotebook LM Updates: Video & Slides FeaturesPerplexity Comet Agentic Browser AnalysisReplit Agent 3 Cloud App BuilderRunway Gen 4.5 Pro Video GenerationSora 2 OpenAI Video Model InnovationsSuno v5 AI Music Generator ImprovementsGoogle VO 3.1 Flagship Video Model ReviewS/A/B/C/D Tier Ranking of AI ToolsTool of the Year: Notebook LM Studio

Timestamps:

00:00 "Top AI Tools & Releases"

10:16 "Atlas AI Tool Overview"

15:21 "Claude Code's Growing Popularity"

21:02 "DeepSeek v3: Open AI Model"

24:36 "Gemini 3 Flash Dominates AI"

30:10 "Canvas Mode & Code Rendering"

36:11 "Lovable and Manus Overview"

38:47 "Proactive AI and Personalization"

46:25 "Perplexity and Comment Advantages"

51:30 "Sora: Creative AI Character Tool"

53:27 "Suno: AI Music Revolution"

01:03:42 "Notebook LM: Tool of 2024"

01:07:19 "Start Here: Everyday AI Basics"

Keywords:

Top AI tools of 2025, AI tools, AI releases, ChatGPT Atlas, ChatGPT Deep Research, Claude Code, 

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Why did ChatGPT go all in on health.... twice? ?

Did Google just silently win the week in AI with shopping and TVs? ?

And is NVIDIA trying to be the new Tesla, but better? ?

So many AI questions to start 2026, and we've got AI answers. 

Join us LIVE as we break down the week's AI News That Matters. 

AI News that Matters:
ChatGPT doubles down on healthcare, Google?s shopping and hardware push, NVIDIA?s big AI announcements and more -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Google Gemini AI Shopping IntegrationGemini Chatbot Instant Checkout FeatureNVIDIA Rubin Platform AI Chip LaunchAlphamaya Autonomous Vehicle Model UnveiledChatGPT Health Product for Medical DataChatGPT Healthcare Suite for HospitalsGoogle AI Inbox Preview for GmailGemini AI Assistant Features for Google TVMicrosoft AI Global Adoption ReportLG AI Home Robot Announcement at CESMeta Llama 4 Benchmarking ControversyAmazon Alexa Plus AI Web LaunchAnthropic Healthcare AI Features CompetitionEmerging AI Model Infrastructure TrendsConsumer AI Device Innovations at CES

Timestamps:

00:00 "Everyday AI: News that Matters"

03:13 "Google Gemini Enables AI Shopping"

06:39 "NVIDIA Unveils Rubin AI Platform"

12:31 "ChatGPT Health Sparks Privacy Concerns"

16:50 "AI Transforming Healthcare with Empathy"

19:10 AI in Healthcare: Real-Time Revolution

23:55 "Inbox Zero vs. Email Hoarding"

26:09 Gemini Enhances Photos with AI

28:56 "AI Adoption and Global Inequality"

35:24 "Meta's AI Drama Unfolds"

36:26 Meta Shifts and Alexa Plus

42:11 "AI Advances and Market Shifts"

44:17 "Subscribe, Rate, Join Inner Circle"

Keywords:

ChatGPT health, ChatGPT for healthcare, OpenAI healthcare, AI in medicine, Google Gemini, Gemini shopping tools, Google AI assistant, agentic checkout, instant checkout, Walmart Google partnership, Amazon AI, shopping AI, NVIDIA Rubin platform, AI token generation, autonomous vehicles AI, AlphaMile, NVIDIA self-driving, Mercedes Benz AI, healthcare AI APIs, HIPAA compliance AI, Anthropic health records, large language models, AI operating systems, Gmail AI inbox, AI email management, Google Photos Gemini, Nano Banana image model, 

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Ban AI? ?

Your employees are still going to use it. 

Or if you think your teams are only going to use the 'approved' AI..... think again. Studies show that Shadow AI is an uncontrollable force. 

So why don't AI bans work? 

And what can you do about it to protect your company's data? 

Join and we'll break it down. 

Shadow AI: Why Banning AI Doesn?t Work & How to Protect Your Data -- An Everyday AI Chat with Jordan Wilson and Airia's Kevin Kiley (Replay)

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Topics Covered in This Episode:

AI Sprawl in Modern EnterprisesShadow AI and Security RisksManaging Unauthorized AI Tool UsageCentralized AI Orchestration PlatformsVendor Lock-In and Model AgilitySecuring Agentic AI in OrganizationsFinancial Impact of AI SprawlDiscovery and Audit for Shadow AI

Timestamps:

00:00 "Navigating AI Chaos"

04:31 AI Tool Mismanagement Risks

06:51 AI Security Risks Escalating

12:15 "Mastering AI for Business Growth"

13:58 "Managing AI Complexity and Security"

17:39 "Agility and Avoiding AI Lock-In"

22:30 AI Pilots' Production Failure Crisis

25:36 "AI Risks: Ambiguity and Security."

28:39 "AI Awareness and Discovery"

Keywords:

AI sprawl, shadow AI, unsanctioned AI tools, unauthorized AI usage, AI orchestration, AI security platform, enterprise AI management, central control plane, AI observability, AI guardrails, agentic capabilities, overly permissive agents, data security risks, prompt injection attacks, indirect prompt injection, AI vendor management, AI redundancy, financial impact of AI, AI ROI, AI spaghetti, model garden, model benchmarking, AI operational complexity, model deprecation, model procurement, vendor lock-in, multi-model environment, AI sandbox, secure AI environment, AI failover, modular AI setup, business continuity, AI outages, domain-specific models, Hugging Face, open source models, AI token consumption, cost efficiency, GenAI pilots, production AI, MIT GenAI divide report, shadow IT, AI discovery, AI risk mitigation, agentic AI and security, natural language manipulation, AI-driven cyberattacks, agent permissions, business process automation, role-based access control, compliance in AI deployment, technology integration.

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Why wasn't 2025 the year of the agents? ?

Cuz enterprise companies were trying to copy-and-paste human roles with general purpose agents that weren't ready. 

But you know what won the agentic race? 

Narrow, purpose-built agents. You know.... those built off large swaths of data to do one very specific thing well. 

As a VP of Engineering at LinkedIn, Prashanthi Padmanabhan knows a thing or three about building agents with purpose. 

And she joins Everyday AI to spill the enterprise AI agent secrets. 

Purpose-Built Enterprise AI Agents: What Actually Works -- An Everyday AI Chat with Jordan Wilson and Prashanthi Padmanabhan

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Connect with Jordan on LinkedIn


Topics Covered in This Episode:

Purpose-Built Enterprise AI Agents OverviewGeneral vs. Narrow AI Agent Use CasesAI Agent Integration in LinkedIn RecruiterCollaborative Human-in-the-Loop Agent DesignAI Agent Workflow Reverse EngineeringBuilding Trust in Agentic AI ImplementationIterative Development with Customer FeedbackMeasuring AI Agent Impact and EfficiencyDomain-Specific, Context-Driven AI AgentsScalability Challenges for Enterprise AI Agents

Timestamps:

00:00 "AI Agents: Hype Vs. Reality"

05:21 "Optimizing Recruitment with AI Agents"

09:20 "Building Effective Recruiting Tools"

13:00 "Scoping Purposeful AI Solutions"

14:46 "Unlocking Talent with AI"

18:38 "Boost Business with AI Expertise"

20:27 "Purpose-Built Recruitment Intelligence"

25:56 "Boosting InMail Acceptance Efficiency"

28:52 "Building Effective Enterprise Agents"

29:51 "Building Trust Through User Experience"

Keywords:

AI agents, enterprise AI agents, purpose-built agents, narrow AI agents, general AI agents, AI assistant, recruiting AI agent, LinkedIn hiring assistant, LLMs, agentic technology, human-in-the-loop, recruiter automation, workflow automation, enterprise workflows, candidate sourcing, resume parsing, talent matching, AI-powered recruiting, hiring manager, conversational AI, AI trust, user experience, agent orchestration, domain-specific AI, model fine-tuning, data mining, personalized outreach, strategic recruiting, ATS integration, HR tech, context engineering, memory sophistication,

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Hate to say it: you're not using ChatGPT right. ?

We've helped millions better leverage the tech, and see the same common mistakes. 

So, here's the no-nonsense guide on how to ACTUALLY use ChatGPT the right way in 2026. 

(Because even the way you were using ChatGPT last month won't work anymore.) 

Don't miss this show. 

How to actually use ChatGPT in 2026: The 7 rules to quickly become a power user -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

ChatGPT Free vs Paid Model BreakdownImportance of Using Thinking ModelsContext Switching in ChatGPT WorkflowsProjects and Custom GPTs for ProductivityApps and Connectors for Business Data IntegrationChatGPT for Teams, Business, and EnterpriseLeveraging Chain of Thought SummariesLive Demo: Building Dashboards with ChatGPT

Timestamps:

00:00 "Mastering ChatGPT: 7 Rules"

05:21 "Free GPT Model Limitations"

06:26 "$20 Opportunity Explained"

10:30 "Managing AI Subscriptions Overload"

14:16 "Custom ChatGPT Projects Explained"

17:59 "ChatGPT Apps: Learning Curve Insights"

19:20 "Choosing AI for Business Operations"

24:21 "Shorter Shows & Live Demos"

26:59 "AI Predictions via GPT Automation"

29:55 "Chain of Thought Summaries Explained"

33:36 "Canvas Mode SaaS Dashboard"

37:42 "Repost LinkedIn for Course Access"

Keywords:

ChatGPT, ChatGPT 2026, ChatGPT power user, ChatGPT thinking models, ChatGPT rules, Custom GPTs, Projects in ChatGPT, Context switching, Chain of thought summaries, ChatGPT teams, ChatGPT enterprise, ChatGPT business plan, AI at work, Competitive cheat code, Model router, GPT-5.2, GPT-5.2 instant, GPT-5.2 Pro, Deep research mode, Canvas mode, Apps with file search, Apps with deep research, Apps with sync, Connectors, Company knowledge, Google Drive integration, Structured workflows, AI operating system, Project memory, Shared GPTs, Large language models, Reasoning tokens, Prompt engineering, Context engineering, Multi-model AI, Data connectors, No code GPT builder, Custom instructions, Productivity with AI, AI dashboard, SaaS dashboard canvas,

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You still using AI to..... write emails? ?

You know these things can like.... access your dynamic data, plan, use tools and create work outputs just like us, right?

Chances are, you're still using LLMs like a back-and-forth chatbot straight outta November 2022.

But 2026 is gonna slap you in the face, because the rate of adaption is gonna be undeniable.

Join us for our first #HotTakeTuesday of 2026 for the 5 reasons why. 

AI in 2026: 5 reasons why the pace of AI Adoption this year will far exceed 2025 -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Five Pillars of 2026 AI AccelerationReasoning by Default in Large Language ModelsAgentic Scaffolding for Autonomous AI ExecutionFrictionless Data Integration with RAG PipelinesExponential AI Task Endurance MetricsAI Models Delivering Economically Meaningful WorkGDP Valve Benchmark for Enterprise AIAdvanced Front-End LLMs vs Old Transformer Models

Timestamps:

00:00 "AI's Untapped Potential in 2026"

05:32 "Embracing AI as Team OS"

08:50 "Evolution of Reasoning AI Models"

12:34 "Enhanced AI Tools and Scaffolding"

16:04 "Gemini Versions and Data Grounding"

19:24 "Measuring AI Task Proficiency"

21:07 "Exponential Growth of AI Models"

25:56 "Can ChatGPT Create Spreadsheets?"

29:10 "Benchmarking AI for Economic Impact"

30:51 "LLMs Outpace Humans in Efficiency"

34:05 "Everyday AI: Subscribe & Thrive"

Keywords:

AI in 2026, pace of AI adoption, frontier AI capabilities, enterprise automation, agentic scaffolding, reasoning models, hybrid reasoner, large language models, economically meaningful work, AI agents, ChatGPT, Claude Opus 4.5, Google Gemini 2.5, Anthropic, OpenAI CEO of applications, Fiji Simo, proactive super assistant, operating system for enterprises, task endurance, exponential task duration, RAG pipeline, data integration, connectors, integrations, personalized AI, business context, knowledge workers, problem-solution AI, coding capabilities, METR, model evaluation and threat research, 50% time horizon, 

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Meta just made a multi-billion acquisition for AI agents. ?

OpenAI might wanna make pens and buy .... Pinterest? ?

And why is Grok generating explicit images of minors? ?

Weird (and gross) week in AI. 

If you missed anything, don't worry. On Mondays, we bring you the AI News that Matters so you can be the most up-to-date person in your company when it comes to AI. 

Meta buys AI agent giant, Grok under fire for explicit images of minors, OpenAI building pens and more -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Meta Acquires Manus AI Agent StartupOpenAI Eyes Pinterest Acquisition for Image DataAI Agents: Manus and GenSpark Enterprise InvestmentsLM Arena 2025: Gemini 3 Pro RankingsGoogle Gemini 3 Pro Multimodal PerformanceGrok Under Fire for Explicit Minor ImagesAnthropic?s Claude Code AI Self-DevelopmentOpenAI Building AI-Powered Smart PenCES 2026 AI-Driven Hardware AnnouncementsSoftBank Completes $41B OpenAI Investment

Timestamps:

00:00 "Everyday AI News & Insights"

03:19 "Meta Acquires AI Startup Manus"

07:12 "OpenAI Eyes Pinterest Acquisition"

11:24 "Google Gemini 3 Pro Triumphs"

14:34 "CES 2026 Kicks Off"

19:50 "AI Solutions for Business Growth"

25:34 "Claude Code Now Accessible Broadly"

28:33 "OpenAI Explores AI Hardware Concepts"

32:50 "SoftBank Completes $41B OpenAI Investment"

33:44 "Big AI Announcements Coming"

Keywords:

Meta acquisition, AI agent startup, Manus, Super agents, Multibillion dollar tech deal, General use AI, Meta AI agents, Manus Singapore, AI research automation, Anthropic, Alibaba, DeepSeek, Silicon Valley AI, Meta AI strategy, Google AI, Microsoft AI, OpenAI acquisition, Pinterest purchase, AI-powered visual platform, Image data, AI and online shopping, AI advertising, Ad suite, Pinterest Performance Plus, User purchase intent, ChatGPT, Agentic commerce, AI search, Conversational AI, Social advertising, Gemini 3 Pro, Google Gemini, Multimodal vision, Coding performance, Claude Opus 4.5, Text-to-image model, GPT Image 1.5, Nano Banana Pro, CES 2026,

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Might internal memos be a thing of the past?

When you can just build something as fast as writing a memo about it, why wouldn't you just build the demo? 

In this episode of Everyday AI, we sit down with Google Cloud?s Richard Seroter to break down five simple ways to use AI with Google. No technical background needed.

We talk faster research, better learning, building ideas without overthinking, and why ?demos over memos? might change how teams work.

If you want practical, no-BS ways to actually use AI in your day?to?day, this one?s worth a listen.

5 Practical AI Workflows That Actually Matter -- An Everyday AI Chat with Jordan Wilson and Google's Richard Seroter (Replay)

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Topics Covered in This Episode:

Five Practical AI Workflows with GoogleGemini Deep Research for Rapid AnalysisNotebookLM AI-Powered Knowledge ExplorationGemini CLI and Code Assist for DevelopersGoogle Jewels Autonomous Coding AgentsAI Change Management and Workflow AutomationGemini's Contextual Integration with Email and CalendarGemini and Agentic AI Across Google Products

Timestamps:

00:00 "Simple AI Strategies for Workflows"

06:14 "Embracing AI-First Thinking"

08:49 "Effective Strategies for Deep Research"

11:24 "Context Engineering with LLMs"

15:32 "Unlocking AI's Business Potential"

17:33 Simplifying Complexity with AI

21:21 "Everyone's a Builder Now"

24:54 "Building AI Tools for Everyone"

28:06 "Communicating Intent to AI Agents"

30:16 "AI: The Smarter Interface"

33:30 "Everyday AI: Wrap-Up & Subscribe"

Keywords:

Gemini Deep Research, Google AI, generative AI, AI workflows, Google Cloud, NotebookLM, AI strategies, AI transformation, change management, contextualized AI, agentic work, AI-powered research, personalized AI, deep research tools, collaborative AI agents, AI in business, AI for analysis, large language models, AI for everyday business leaders, Gemini CLI, code assist, AI coding agent, Google Jewels, autonomous AI, background AI teammate, context engineering, integrating AI in workflows, AI for HR, marketing AI, AI-powered knowledge management, learning with AI, AI onboarding, student AI tools, spec driven development, 

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Bet you didn?t know you could do THAT in Google Sheets. ?

You mighta slept on this the past few months, but AI functions are live inside of Google Sheets thanks to Gemini. 

I know what you're saying... AI functions? I can barely spread the sheets! Lolz. 

That's the beauty of it. With a simple =AI of your keyboard, you can talk to your spreadsheets in natural language and tap into the full power of Google Gemini. 

Don't worry.... we're gonna put it to Work this Wednesday together.

Google Sheets and Gemini: 5 ways to use Gemini AI to save time and work smarter ? An Everyday AI Chat with Jordan Wilson (replay)

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Topics Covered in This Episode:

Gemini AI Integration with Google SheetsCore Functions: Formulas, Tables, Data VisualizationNatural Language Prompts in SheetsContextual Analysis from Gmail and DriveInstant Dashboard and Chart GenerationAI-Powered Sentiment Analysis in SpreadsheetsContent Creation and Automation at ScaleSpotting Non-Obvious Data Trends with Gemini

Timestamps:

00:00 "Free Daily AI Newsletter"

05:01 "Google Gemini Access and Features"

07:16 "AI Gemini Tricks in Sheets"

10:03 "Streamlining Insights with AI"

13:06 "AI Unlocks New Possibilities"

18:41 "Streamlined Data Insights with AI"

21:44 "Sentiment Analysis with Gemini"

26:35 "Content Machine Overview"

28:09 "Gemini's Competitive Analysis Capabilities"

32:57 "Model Analysis and Insights"

34:15 "Optimizing Titles for Niche Topics"

36:55 "LinkedIn Repost for Sora Access"

Keywords:

Gemini in Google Sheets, Gemini AI, Google Sheets AI integration, AI in spreadsheets, Google Workspace, AI function in Sheets, spreadsheet automation, natural language prompts, formula generation, data analysis, AI-powered dashboards, sentiment analysis in spreadsheets, generate tables with AI, AI chart creation, visualize data with AI, data organization with AI, contextual integration, summarize spreadsheet content, pull data from Gmail and Drive, AI for business productivity, Google Gemini rollout, create dashboards automatically, spreadsheet time-saving tips, content creation at scale, custom AI functions,

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One of the scariest parts of AI? ?

Who (or what) gets left out. 

As a result, LLM outputs are heavily skewed toward the perspectives and content most common in their training data and the people who supervise them.

Which is almost always an absolutely terrible thing. 

So, who gets written out of the AI future? And how do we fix it? 

Join us to find out. 

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Topics Covered in This Episode:

Over-Reliance on AI in Daily LifeMarginalized Groups Excluded from AI FutureAI Reflecting Societal Biases and Blind SpotsResponsibility for AI Training Data and BiasDangers of "AI Slop" and Unedited ContentBiased AI Moderation and Platform ChallengesImportance of Human Oversight in AI OutputsAvoiding AI Echo Chambers and Algorithmic DivideTrust and Quality Concerns with AI ContentAmplifying Diverse Voices in AI Leadership

Timestamps:

00:00 "AI Reliance and Ethical Risks"

03:37 "Inclusion in AI Conversations"

06:32 "Shared Responsibility for AI Change"

11:03 "AI Bias Against Black Hairstyles"

15:02 "Growing Businesses with Generative AI"

16:21 "For Us, By Us"

20:07 Preventing AI Echo Chambers

25:14 "Rethinking Leadership and AI Use"

26:46 "Everyday AI Wrap-Up"

Keywords:

AI bias, large language models, marginalized voices in AI, representation in AI, diversity in AI, AI and identity, technology and power, algorithmic bias, training data bias, cultural competence in AI, AI exclusion, social media moderation algorithms, biased AI moderation, racial bias in AI, gender bias in AI, queer representation in AI, trans representation in technology, working class and AI, age bias in AI, responsible AI use, AI content creation, AI slop, human in the loop, human-centered AI, ethical AI, trust in AI, AI and creativity, AI echo chambers, personalization in AI models, AI-generated content, voice amplification in technology, AI-powered surveillance, inverse surveillance, AI leadership, tech activism, AI for social good, AI media trust, challenge in AI adoption, AI community guidelines, inclusion in technology, future of AI representation, multi-agent orchestration, responsible AI auditing, training data selection, human feedback in AI, algorithmic transparency.

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A $20 billion AI deal while you were away? ?

Yes. 

Even though this week may be considered a 'slower' week in AI news.....

? NVIDIA made a splash with a $20 billion pseudo acquisition
? Amazon partnered with some big names for its Alexa+ and 
? Microsoft's Copilot is reportedly struggling so much that its CEO is acting as a product manager. 

Miss anything? 

Don't worry, in our weekly 'AI News That Matters' series, we'll get you caught up in no time. 

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Topics Covered in This Episode:

NVIDIA's $20 Billion Grok Acquisition DetailsGrok LPU Chip Integration and ImpactMiniMax M2.1 Model Multilingual Coding BenchmarkOpenAI Prompt Injection Security UpdateAmazon Alexa Plus Adds Expedia, Yelp, SquareSocial Security Risks from Accelerated AI Job LossMicrosoft Copilot Failures and CEO InterventionQuick Roundup: AI Model Releases & Regulatory News

Timestamps:

00:00 "Impactful Week in AI News"

03:33 "NVIDIA Absorbs Grok via Licensing"

09:51 "Open-Source Coding Model Breakthrough"

11:37 "AI Agent Security Threats"

14:42 Alexa Plus Gets Major Upgrade

19:26 AI Disrupting Jobs, Social Security

20:57 Microsoft CEO Fixing Copilot Failures

26:26 AI Updates: Models, Milestones, Expansions

27:39 "Weekly AI News Highlights"

Keywords:

NVIDIA, $20 billion AI acquisition, Groq, inference chips, IP licensing, AI chip market, LPU processors, AI hardware, Jonathan Ross, Sonny Madra, federal oversight, antitrust review, Groq cloud platform, domain specific models, mixture of experts, MOE architecture, OpenAI, compute demand, MiniMax, M2.1 model, state of the art coding AI, open source AI, sparse mixture of experts, SweeBench multilingual benchmark, Gemini 3 Pro, Claude Sonnet 4.5, multilingual coding model, Java coding AI, Rust coding AI, Go coding AI, non Python coding model, agentic browsers, prompt injection attacks, AI agents, Atlas browser, Perplexity, LLM-based security, Alexa Plus, Amazon voice assistant, Expedia integration, Angie's List, Square voice payments, Yelp booking, enterprise automation, gig work economy, McKinsey AI report, payroll tax base, Social Security, Microsoft Copilot, Satya Nadella, 

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ChatGPT ads are coming y'all. ?

They?re gonna be both crazy intrusive yet also pretty useful. 

That?s a given. 

But the real hot take here: personalized ChatGPT ads are actually gonna change how the internet works and conversational commerce is going to be the new norm. 

Every single company ? including yours ? is going to have to quickly adapt. 

We lay out how, as well as the 9 reasons why we?re confident ChatGPT ads based on your account will be rolling out soon. 

ChatGPT Ads: 9 Reasons why personalized ads are coming to ChatGPT soon ? An Everyday AI Chat with Jordan Wilson (Replay)

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Topics Covered in This Episode:

ChatGPT Personalized Ads Hot Take OverviewOpenAI's Burn Rate and Monetization NeedSam Altman's Shift on AI AdvertisingChatGPT Free Users Data MonetizationMemory Personalization Engine and Chat HistoryOpenAI Staff Changes Boost Ad StrategyAtlas Browser User Data ControlChatGPT Apps and Cross-Platform Data IntegrationChatGPT Pulse and Proactive Ad DeliveryAgentic Commerce Protocol for In-Chat PurchasesAffiliate Commissions and Ad Transparency ConcernsConversational Commerce vs Traditional AdsFirst Mover Advantage in ChatGPT Ad PlatformEthical Concerns with Personalized ChatGPT Ads

Timestamps:

00:00 "Personalized ChatGPT Ads Incoming"

05:15 "AI Ads: A Necessary Shift"

08:57 OpenAI's Shift to Personalized Ads

09:44 "OpenAI's Integrated Commerce Tools"

14:51 "Tech Giant Struggles for Profitability"

17:02 OpenAI's Path to Dominance

21:01 AI Memories and Ethical Concerns

24:07 "Free Plans and Data Privacy"

26:44 "ChatGPT Apps and Data Sharing"

31:23 "OpenAI's Affiliate Links Concerns"

34:05 "Trust and Transparency in AI"

37:51 "AI: Transforming Advertising Dynamics"

39:45 "AI Ethics and Future Challenges"

42:05 "AI Ads Toolkit"

Keywords:

Personalized ChatGPT ads, ChatGPT advertising, conversational commerce, OpenAI, Sam Altman, AI monetization, ad personalization, ChatGPT memory, ChatGPT browser, Atlas browser, ChatGPT apps, ChatGPT Pulse, agentic commerce protocol, instant checkout, affiliate commissions, Stripe partnership, Walmart, Etsy, Shopify, free user monetization, OpenAI burn rate, market cap, SoftBank investment, digital advertising,

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You're winding down for the year? ?

AI had one its biggest weeks yet, so listen up before you clock out. 

Yeah, we're winding down for the holidays in the U.S. 

Buuuuuuuut, we had huge releases from OpenAI, a shocking model from Google, and news that Meta maybe going after Nano Banana. 

Sleep through this week, and you'll wake up in 2026 feeling months behind. Don't waste time, on Mondays, we only bring you the AI News That Matters. 

ChatGPT?s Image 1.5 impresses, Google launches Gemini 3 Flash, Meta going after Google and more AI news -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

OpenAI and Amazon $10B AI Partnership TalksMicrosoft-OpenAI Partnership Structure UpdateMeta's Mango and Avocado AI Model LaunchAnthropic Claude Chrome Plugin Public ReleaseOpenAI's ChatGPT App Store LaunchGoogle Gemini 3 Flash Model Default RolloutUS Department of Energy Genesis Mission PartnersGoogle NotebookLM Gemini 3 Integration and UpdatesOpenAI GPT-4 Turbo Image 1.5 BenchmarksMeta, Google, Amazon AI Competitive Positioning

Timestamps:

00:00 "Everyday AI: Insights & Updates"

03:38 OpenAI Expands Partnerships, Funding Soars

09:53 "AI Shifts and Strategies Discussed"

12:03 "OpenAI App Guidelines Explained"

14:49 Gemini 3 Flash Surpasses Pro

20:35 Gemini 3 Powers Notebook Integration

23:51 "OpenAI's New Image Model Released"

25:00 "GPT Image 1.5 Leads"

30:48 Tech Updates: Google, Amazon, AI

31:52 "Stay Competitive with AI Advancements"

Keywords:

OpenAI, Amazon partnership, $10 billion AI investment, AWS AI chips, OpenAI capital raise, Microsoft OpenAI partnership, Google Gemini 3 Flash, Gemini app, Gemini coding benchmarks, Gemini multimodal, Gemini 3 Pro, reinforcement learning, Meta Mango, Meta Avocado, Meta image model, Meta video model, Meta large language model, proprietary AI models, Anthropic, Claude Chrome plugin, Claude 4.5, agentic models, agentic browser, Perplexity, OpenAI Atlas, Chrome extension, App store launch, ChatGPT apps, third party app submissions, Canva app integration, Photoshop app, GitHub app, Replit app, Gmail integration, Mailchimp, Stripe, 

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Jeetu Patel knows a few AI secrets. 

As the President of one of the largest companies in the world, he's helped pave the AI adoption roadmap. 

At Cisco, they provide full-stack, enterprise AI solutions spanning infrastructure, security, observability, and operations to the world's largest companies. 

So naturally, Jeetu could write a legit playbook on what's slowing enterprises down in the AI fast lane and how they can overcome those bottlenecks. 

And naturally, Jeetu is gonna share it all with us. 

The 3 Big Obstacles Holding AI Adoption Back -- An Everyday AI Chat with Cisco President Jeetu Patel

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Topics Covered in This Episode:

Enterprise AI Adoption Rates & ChallengesAI Workflow Automation Phase ExplainedThree Big Obstacles to AI AdoptionInfrastructure Constraints for Enterprise AITrust Deficit in AI SystemsData Gaps Impacting AI SuccessMeasuring ROI on Enterprise AI DeploymentFuture Trends: Agentic AI and Original Insights

Timestamps:

00:00 AI Adoption Challenges in Enterprise

05:18 AI Adaptation: The Key Strength

08:56 AI Infrastructure and Trust Challenges

10:23 Building Trust and Harnessing Data

13:27 Unsatiated Demand Signals Growth

19:12 Proactive AI Model Safeguards

22:07 AI Strategy and Business Growth

26:09 Key Metrics for AI Success

28:10 Guardrails for AI Vulnerabilities

31:34 AI Unlocking Revolutionary Discoveries

Keywords:

AI adoption, obstacles to AI adoption, enterprise AI, generative AI, AI strategies, chatbots, autonomous agents, workflow automation, business productivity automation, infrastructure for AI, AI power consumption, data center capacity, compute capacity, GPUs, Nvidia, AMD, network bandwidth, CapEx in AI, AI bubble, national security and AI, economic growth and AI, AI trust deficit, securing AI, AI safety, AI hallucinations, large language models, model unpredictability, AI guardrails, algorithmic jailbreak, AI security stack, AI defense, company data as moat, AI data pipeline, data gap in AI, machine data, human data, synthetic data, time series data, data correlation, AI model training, AI ROI, trust in AI systems, agentic workflows, future of AI, robotics, humanoid AI, physical AI, original insights with AI, economic prosperity with AI, AI-generated knowledge, workflow automation with AI agents, scaling AI in enterprises

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Did AI end up being a political force this year? ?

Did AI kill start to kill off influencers? 

Did we achieve AGI in 2025? 

We take our AI predictions seriously. And in January of this year, we made some kinda hot-take predictions about the above and more. 

How did we do? 

Tune in for Part 2 of our 2025 AI Roadmap Rewind as we give a State of AI and see if we were your AI BFF or if we led you astray. 

2025 AI Roadmap Rewind Human vs Machine, AI Models Shrink, and AGI No One Noticed -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Anthropic $1.5B Copyright Lawsuit SettlementAI Influencers Replace Human UGC ContentNon-Technical Vibe Coding Software TrendEnterprise Reasoner Wrappers in AI AdoptionRise of Virtual Machines for AI AgentsPolitical Impact of AI on US PolicyGlobal AI Regulations and EU AI ActNarrow AI Agents Drive Business ValueLLM Memory and Context Advances in 2025Shift: Large Language Models to Small ModelsMixture of Models Approach for EnterprisesAGI Benchmarks Surpassed, Yet Goes Unnoticed

Timestamps:
00:00 "AI Insights and Predictions"

04:02 $1.5B Anthropic Copyright Settlement

08:19 "Rise of AI Influencers"

11:37 "Google's Experimental App Generator"

14:05 "Reasoning Models and Enterprise Growth"

17:35 Trump's AI Policy Shift

22:32 "Narrow AI Revolution in Progress"

24:42 "Memory Advancements in Technology"

30:20 "Mixture of Experts Explained"

32:15 "Model Fusion Beats Best Score"

36:22 "AGI Wins IMO Gold"

37:40 "Testing AI IQ Progression"

43:07 "GPT-5.2: Human-Level Expertise"

44:17 "AI Outperforms in Valuable Work"

Keywords:
2025 AI roadmap, AI predictions, Artificial General Intelligence, AGI, AI copyright case, Anthropic lawsuit, $1.5 billion settlement, OpenAI and Disney partnership, AI influencers, AI avatars, user generated content, UGC, Lil Mikaela, AI influencer industry, TikTok Symphony Gen AI, Meta AI ad tools, HeyGen, Synthesia, Hour One, Veo, Sora, Cameos, nontechnical AI development, vibe coding, Andrej Karpathy, Gemini Canvas, ChatGPT Canvas, Claude artifacts, Cursor, Windsurf, Antigravity, Google Codex, AI Studio, low code AI tools, reasoner wrappers, business agency layer, agent frameworks, virtual machines, cloud PCs fo

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Don't lie -- when you open ChatGPT, you're looking for a quick copy-and-paste solution. 

We've all been there. 

What if I told you that was kinda the worst way possible to use some of the world's most powerful technology. 

Spoiler alert: it kinda is. 

Make sure to catch today's episode for some creative frameworks to change how you use LLMs. 

Creative Frameworks for Problem-Solving with Generative AI -- An Everyday AI Chat with Jordan Wilson 


(PS - Was hoping to have the PT. 2 Roadmap review ready to go, but feeling under the weather. Pt 2 will drop soon!)

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Connect with Jordan on LinkedIn


Topics Covered in This Episode:

Creative Frameworks for Generative AI Problem SolvingHuman Agency vs. AI Efficiency DebateUsing Large Language Models as Thought PartnersPrompt Engineering vs. Context Engineering EvolutionGeneric Parts Technique for Abstract ThinkingSCAMPER Framework for Business InnovationHuman-AI Collaboration: Enhancing Creative OutputsOvercoming Cognitive Biases in AI-Assisted Strategy

Timestamps:
00:00 "Using AI as Thought Partner"

04:06 "AI's Role in Creative Problem-Solving"

08:13 "Broadening Problem-Solving Approaches"

13:11 "Using Multiple Tools for Insight"

15:07 "SCAMPER Framework Explained"

17:32 "Rethinking Problems with SCAMPER"

22:24 "Embracing Difference in Expertise"

24:45 "Building Creative Confidence"

Keywords:
Generative AI, problem solving frameworks, creative frameworks, large language models, AI thought partner, augmenting human intelligence, creative problem solving, prompt engineering, context engineering, agency over output, human-AI partnership, divergent thinking, convergent thinking, psychological distance, cognitive bias, creative confidence, creative agency, generic parts technique, SCAMPER framework, substitute, combine, adapt, modify, put to another use, eliminate, reverse, creative velocity, innovation, agentic capabilities, iterative problem solving, model reasoning, human in the loop, decision making, strategy, domain transfer, abstraction, functionally fixated thinking, solution exploration, pain point analysis, authentication, friction reduction, workflow improvement, technology product management, practical AI use cases, collaborative AI techniques, business problem solving, structured problem solving, metacognition, challenging output quality,

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We don't do AI predictions lightly. 

Everyday AI is trusted by millions each year to help guide them through the muddy AI waters. 

So in the same way you'd want transparency out of your AI models, we're rolling back the clock on our January 2025 AI predictions we dished with our Roadmap Review. 

We're busting out the receipts. 

At the time, these AI predictions seemed nutty. So, did we lead you astray? Or, did we pave the road to paydirt? 

Let's dive in y'all. 

2025 AI Roadmap Rewind: From AI Agent Orchestrators to Deepfakes. The New Tech Order -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

AI Agent Orchestrators as Job TitleAI Agents in Company Hiring TrendsEnterprise Reasoning Data Collection GrowthAI Driving Professional Services Pricing CrisisUniversal Basic Income and AI Job LossOpen Source AI Models Surpassing ProprietaryChinese AI Model Global Market ImpactPerplexity Answers Engine Business PivotFrontier AI API Price DropsVC Funding Surge in Embodied AIAdvancements in AI Video Generation ToolsAI?s Disruption of Traditional Internet ModelsSocial Media Deepfake Misinformation Surge

Timestamps:
00:00 "2025 AI Predictions Explained"

04:02 "2025 AI Predictions Insights"

08:49 AI Agents Classified as Employees

11:23 "Transformers vs. Reasoning Models"

16:15 AI Impact on Consulting Jobs

18:51 "AI Impacts Jobs, Spurs UBI"

23:12 Open Models Surge in AI

27:13 "Perplexity's AI Pivot Journey"

29:23 "Embodied AI Sector Growth"

31:36 "Embodied AI Transforms Logistics"

36:42 "AI-Driven Internet Future"

39:16 Deepfake Fraud Crisis Escalates

42:25 AI Success Roadmap Revealed

Keywords:
Agent orchestrators, AI agent orchestration, AI job titles, orchestration engineer, AI agent architect, human-AI collaboration leader, Adobe agent orchestrator, AO, AI agents, digital FTEs, digital full time employees, AI agent hiring, agent compute costs, Agent Force, hiring digital labor, reasoning models, company reasoning data collection, reasoning token consumption, synthetic data generation, private reasoning engines, unstructured data, proprietary data, professional services pricing crisis, law sector AI disruption, consulting AI transformation, accounting

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Weird week in AI. ?

OpenAI partners with..... Disney? Goofy. 

Meta might go ..... close source? Avocado. 

And Adobe's brining Photoshop to..... ChatGPT? Print that. 

Tons of movement. 
We've got you covered with this week's AI News That Matters. 

OpenAI releases GPT-5.2 and teams up with Disney, Trump signs order to stop states from regulating AI, big AI rivals team up and more.

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Topics Covered in This Episode:

Disney Invests $1B in OpenAI Sora PartnershipDisney Grants OpenAI Access to Copyrighted CharactersTrump Executive Order Blocks State AI LawsAI Regulation: Federal vs. State ControversyMeta Shifts Llama Model Open Source StrategyOpenAI CEO Teases Upcoming ChatGPT FeaturesGoogle Releases Gemini Deep Research AgentAdobe Photoshop Integrates with ChatGPT AppsAgentic AI Foundation Unites Top AI RivalsOpenAI Launches GPT-5.2 Model BenchmarksGPT-5.2 Performance: Spreadsheets & PresentationsLong-Context AI Model Retrieval ImprovementsAnthropic Claude Agents and Accenture PartnershipOpenAI, Google, Anthropic Update Agent Frameworks

Timestamps:
00:00 "Everyday AI: News & Insights"

04:08 Disney's AI Integration & Legal Moves

07:15 AI Regulation: Federal vs State

10:30 "Meta Tightens Grip on AI"

14:57 "Google Dominates AI Year-End Race"

20:39 "Photoshop Meets ChatGPT Integration"

23:50 "Agentic AI Collaboration in Tech"

25:07 "Agentic AI & OpenAI GPT-5.2"

30:48 "Four Needles Benchmark Analysis"

32:07 "Improved Memory in AI Models"

35:23 "AI Tools & Industry Updates"

38:56 "Everyday AI: Subscribe & Connect"

Keywords:
GPT-5.2, OpenAI, generative AI, AI model, AI regulation, Trump executive order, federal AI law, state AI laws, Disney AI partnership, Sora video generator, Disney OpenAI investment, Star Wars AI content, Marvel AI content, copyright infringement,

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AI investments? Everywhere. 

AI training? ....... ?

Why are enterprises so quick to throw insanely large stacks of cash at any AI project or software, but neglect ongoing employee training and education? 

And what should we do about it? 

Join us to find out. 

The AI Training crisis: Why companies are spending money on AI but not educating -- An Everyday AI Chat with Jordan Wilson and Lucid Software's Dan Lawyer

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Topics Covered in This Episode:

The AI Training Crisis in EnterprisesCompany Investment in AI vs. Employee EducationCultural Shifts Required for AI AdoptionImportance of Domain-Specific AI TrainingGrounding Large Language Models With Company DataProcess and Workflow Documentation for AI SuccessRapid Experimentation With New AI ModelsMeasuring ROI and Outcomes of AI TrainingCreating Cultural Moments for AI LearningPreparing Employees for Fast AI Technology Changes

Timestamps:
00:00 AI Training Crisis in Business

05:32 Generative AI and Family History

07:55 Grounding AI for Effective Use

11:49 "AI as a Co-Collaborator"

16:38 "Grounding AI for Better Trust"

19:29 "AI Needs Procedural Knowledge"

22:33 "Measuring AI's Value and Speed"

23:49 Rapid Experimentation and Continuous Learning

26:58 "Maximizing AI Through Education"

Keywords:
AI training crisis, AI education gap, enterprise AI adoption, AI in business, employee AI training, workplace AI integration, generative AI, large language models, AI-powered workflow, cultural shift with AI, organizational AI culture, domain specific AI training, AI-driven process documentation, AI experimentation, AI safety, securing company data with AI, best practices for AI implementation, nondeterministic AI, grounding AI in company data, procedural knowledge for AI, AI as coworker, AI collaboration, AI trust building, AI productivity, training AI like employees, measuring AI ROI, quantifiable AI outcomes, AI-powered decision making,

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Algorithms and automations have been buds for a decade plus. ?

But the old 'smart' automations were rigid. If one thing was wrong, the automation would bust. 

But with LLM-powered agents? Those automations are different. If something's wrong, the agent might just..... guess. ?

Weak data = weaker outcomes. 

Here's how to fix it when agents come first and they're gonna finish the job, whether the data is strong or not. 

From Automation to Agents: Why Weak Data Makes AI Guess -- An Everyday AI chat with Jordan Wilson and Ed Macosky

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Topics Covered in This Episode:

Automation vs. Agentic Workflows: Key DifferencesAI Agents: Data Quality and Output RisksAgentification Trends in Enterprise AutomationPros and Cons: Converting Automations to AgentsAI Agents Impact on Business ProcessesImportance of Data Governance in AI AgentsAI Agent Control Towers and ObservabilityMeasuring ROI: AI Agents and Data Investments

Timestamps:
00:00 "Trusting AI for Business Growth"

06:31 "Agent-Based Automation: Pros & Cons"

08:29 "AI Agents Simplify Workflow Management"

10:40 Expense Report Workflow Frustrations

15:05 AI Governance and Data Integrity

19:04 "Governance and Multi-Agent Data Strategy"

22:50 "AI ROI and Data Focus"

26:01 AI Studio: Create Apps Faster

Keywords:
AI agents, Agentification, Agentic workflows, Automation, AI-powered automation, Business process automation, Deterministic workflows, Non-deterministic workflows, Data quality, Data governance, Data management, Integration platforms, Boomi, Chief Product and Technology Officer, Large language models, Generative AI, Rigid workflows, Flexible workflows, Conversational agents, Expense report automation, Policy adaptation, AI decision-making, Human-in-the-loop, AI observability, AI traceability, Multi-agent orchestration, Ecosystem synchronization, Agent control tower, AI governance tools,

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Capabilities? Through the roof?

Usage? Ground floor.

Claude Agent Skills might be one of the most useful features of any front-end LLM.

Yet....it's crickets in terms of chat around it.

For this 'AI at Work on Wednesday' episode, we're breaking it down for beginners and will have you spinning up your own Claude Agent Skills in no time.

Claude Skills: How to build Custom Agentic Abilities for beginners -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Claude Skills Agentic Features OverviewDifferences: Claude Skills vs. GPTs vs. GEMSModular Agentic Workflow File StructureStep-by-Step Guide: Building Claude SkillsClaude Skills YAML/Markdown Setup ProcessTesting and Validating Custom Claude SkillsAdvanced Capabilities: Executable Code & Sub-AgentsCommon Troubleshooting for Claude Skills Creation

Timestamps:
00:00 "Claude Skill Library Unveiled"

06:27 "Claude Skills Explained"

07:29 Custom GPTs and Gems Explained

11:18 Claude Skills vs Projects

17:31 "Refining Skill Triggers Effectively"

20:17 "Beginner Cloud Skills Best Practices"

23:39 "Preferring GPT and Memory Tools"

25:54 "Saving Skill File Properly"

28:09 Creating Skills on Claude

33:43 "Creating AI News Searcher"

35:36 Claude Skills Now Available

37:39 "Optimizing Claude for Knowledge Tasks"

41:05 "Skill Builder Library Access"

Keywords:
Claude skills, Claude agent skills, custom agentic abilities, large language model, agentic workflows, specialized tasks, coding capabilities, file creation, executable code, skills library, skill builder, skill creator, markdown file, skill.md, folder structure, YAML front matter, composable skills, modular instructions, automation, prompt engineering, skill triggers, skill testing, advanced features, API skill versioning, governance and efficiency,

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OpenAI is (reportedly) in full panic mode. ?

All hands on deck, Code Red status.

So.... what happened?

How did OpenAI go from defining the AI category to getting beat by competitors they once trounced?

And, is it too late for them to turn it around? Or will Google permanently take the AI crown?

Tune in... we've got hot takes.

OpenAI's Code Red: Is Google taking ChatGPT's Crown? An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

OpenAI "Code Red" Panic ExplainedGoogle Gemini 3 vs ChatGPT BenchmarksNovember AI Model Release ImpactAnthropic Claude Opus 4.5 Coding LeaderOpenAI Financial Strain & Revenue AnalysisMarket Share Shift: ChatGPT vs GeminiChatGPT Default Model Quality CritiqueEnterprise AI Adoption: OpenAI vs AnthropicOpenAI Ads Controversy and User BacklashApp Stickiness and Query Length Data

Timestamps:
00:00 "Everyday AI for Business Leaders"

07:23 AI Leadership Questioned

09:28 "Before and After ChatGPT"

12:36 "OpenAI's Shift and Competition"

15:58 OpenAI's Massive Infrastructure Growth

21:13 "Google Surges, Challenges OpenAI"

23:53 "Cloud Ovis 4.5 Review"

28:45 OpenAI Criticized Over Ad Controversy

31:36 "ChatGPT's Default Model Critique"

33:58 "Optimize Your Chat Model Usage"

35:49 "Choosing GPT-5 Over Gemini 3"

40:20 AI Narrative Overblown in Tech

43:57 "AI Tools and Code Red"

45:24 "Build Apps with AI Studio"

Keywords:
OpenAI, code red, ChatGPT, Google Gemini, Gemini 3, AI race, large language models, Anthropic, Claude Opus 4.5, AI leadership, market share, AI benchmarks, LLM development, GPT-5.1, thinking models, default chat model, model performance, user growth, AI chatbots, reasoning multimodality, enterprise AI adoption, CapEx spend, custom AI chips, Broadcom, Nvidia,

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OpenAI has launched a code red. ?

After increasing pressure from Google, OpenAI is reportedly in ?all hands on deck? mode to reclaim the LLM crown. 

Meanwhile, Google quietly released an EVEN MORE powerful version of Gemini 3 that hardly no one noticed. 

And Perplexity? They got hit with a massive lawsuit. 

You take one week off of AI, and you could be months behind if you?re in a fast-moving industry. Don?t sweat? we do the heavy lifting for you. 

Join us for our weekly ?AI News That Matters? segment, your weekly shortcut to save you hours on the AI happenings. 

OpenAI?s Code Red, Google?s Deep new model, Perplexity facing big lawsuit and more ? An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Google Gemini 3 DeepThink Model LaunchPerplexity Lawsuit by New York Times, TribuneAmazon AWS Nova 2 AI Model FamilyAccenture Deploys ChatGPT Enterprise PartnershipAnthropic Prepares for $300B IPOGoogle Workspace Studio No-Code AI AgentsGoogle and Replit AI Coding PartnershipOpenAI Code Red: GPT-5.2 Model Release Rumors

Timestamps:
00:00 "Gemini 3 Deep Think Rollout"

05:31 "Perplexity Sued Over Copyright Violations"

09:04 "Amazon's NovaForge Enterprise AI Service"

10:56 Accenture Adopts ChatGPT Enterprise

15:59 OpenAI vs. Anthropic: Profitability Debate

17:46 "Google Workspace Studio Automation"

22:07 "OpenAI's Code Red Response"

23:18 "OpenAI Shifts Focus Amid Competition"

26:44 "Google's Big November Wins"

31:06 "2025 AI Deals & Outlook"

Keywords:
Gemini 3, Gemini 3 Deep Think, Google AI, powerful reasoning model, parallel reasoning, large language models, GPT QA Diamond, Arc AGI 2, code execution, AI Ultra subscribers, advanced benchmarks, complex math problems, AI outages, OpenAI, code red, GBT 5.1 Pro, ChatGPT 5.1 Pro, Anthropic, Claude 4.5, consulting adoption of GenAI, Accenture ChatGPT enterprise, enterprise generative AI, copyright lawsuit, Perplexity AI, New York Times lawsuit, Chicago Tribune lawsuit, news content copyright, scraping paywalls, AWS re:Invent, Amazon AI models, Nova 2 family, Nova 2 Lite, Nova 2 Pro, Nova 2 Sonic, Nova 2 Omni, multimodal reasoning, NovaForge, Novellas, customized AI models, enterprise cloud AI, AI consulting trends, outcomes-based consulting, Workspace Studio

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How can you scale AI at the enterprise, yet still hit your climate goals? 

And can heavy AI usage and an enterprise's ESG mission co-exist? 

Ashutosh Ahuja lays it out for us. 

Aligning AI With Climate And Business Goals -- An Everyday AI Chat with Jordan Wilson and Ashutosh Ahuja

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Topics Covered in This Episode:

AI's Environmental Impact and Climate ConcernsCompanies Aligning AI with ESG GoalsAI Adoption Versus Carbon Footprint TradeoffsMetrics for Measuring AI's Environmental ImpactBusiness Efficiency Gains from AI AdoptionReal-World Examples: AI Offsetting Carbon FootprintIndustry Opportunities for Sustainable AI IntegrationFuture Trends: Efficient AI Models and Edge Computing

Timestamps:
00:00 Everyday AI Podcast & Newsletter

05:52 Balancing Progress and Legacy

07:03 "Should Companies Limit AI Usage?"

12:02 "Sentiment Analysis for Business Growth"

17:07 "Energy Efficiency Impacts ESG Metrics"

19:40 Robots, Energy, and AI Opportunity

21:41 AI Efficiency and Climate Balance

25:04 "Trust Instincts in Investments"

Keywords:
AI and climate, climate goals, aligning AI with ESG, environmental impact of AI, carbon footprint, energy use in AI data centers, water cooling for GPUs, sustainable business practices, enterprise AI strategy, ESG compliance, climate pledges, AI adoption in business, carbon footprint metrics, machine learning for sustainability, predictive analytics, ethical AI, green AI solutions, renewable energy sector, AI in waste management, camera vision for waste sorting, delivery robots, edge AI, small business AI implementation, AI efficiency, sentiment analysis, customer patterns, predictive maintenance, IoT data, auto scaling, cloud computing, resource optimization, SEC filings, brand sentiment tracking, LLM energy consumption, environmental considerations for AI, future of AI in climate action, business efficiency, human in the loop, philanthropic business practices, sustainable architecture, large language models and climate, tech industry climate initiatives, AI-powered resource savings, operational sustainability.

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You're probably using AI agents without even knowing it. ?

Crazier yet? 

It's very possible that there may already be more AI agent instances than humans in the world. 

Was that a bold claim we made a year ago? Yeah. 

But did Cloudflare's Tech Lead of AI Agents agree? Also, yeah. (See, we're not that crazy.) 

So, what do you need to know about the future of AI agents? 

Well, we DO KNOW this is one episode you don't wanna miss. 

The Future of AI Agents: Will there be more Agents than humans? -- An Everyday AI Chat with Jordan Wilson and Cloudflare's Sunil Pai

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Topics Covered in This Episode:

Prediction: More AI Agents Than HumansCloudflare's AI Agent Platform OverviewDefining Modern AI Agents and CapabilitiesAI Agent Builders: Low Code and No CodeAI Agents in Business Process AutomationScaling AI Agents: Observability and SafeguardsHuman Role Shift in Agentic WorkplacesFuture Impact of AI Agents on Daily Life

Timestamps:
00:00 "AI Agents: A 2025 Reflection"

04:09 "Cloudflare's Evolution: Powering Agentic Apps"

06:52 "AI Agents Revolutionizing Accessibility"

13:05 "AI Achieving Real-World Interaction"

16:01 Software Evolution and Global Impact

19:28 "Commodifying Tech for Regular Users"

22:47 "Rethinking Trust in Software"

26:08 AI Revolution in Healthcare

28:42 "Embrace and Learn Emerging Tech"

31:16 "Everyday AI: Subscribe & Explore"

Keywords:
AI agents, future of AI agents, agentic technology, AI agent definition, AI agent capabilities, enterprise AI agents, agentic applications, Cloudflare AI, AI agent platform, AI agent builder, no code agent builder, low code agent builder, agent deployment, agentic systems, agentic loop, chatGPT agents, monthly active users, proactive AI agents, business process automation, digital HR, observability, safeguards for AI agents, inputs and outputs for AI agents, scalable agent infrastructure, network infrastructure, durable objects, WebSocket support, planetary deployment, Slack bot integration, Gmail integration, scheduling capabilities, personalized AI assistant, Salesforce integration, agentic effort, trust in AI systems, accessibility of AI agents, agentic safeguards, business impact of AI agents, commodification of agent technology, safe agent rollouts, proactive business leaders, 

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FYI -- Today's LinkedIn livestream broke, so you can access the custom instructions here. 

This is Vibe Coding 001. 

Have you ever wanted to build your own software or apps that can just kinda do your work for you inside of the LLM you use but don't know where to start? 

Start here. 

We're giving it all away and making it as simple as possible, while also hopefully challenging how you think about work. 

Join us. 

Beginner?s Guide: How to visualize data with AI in ChatGPT, Gemini and Claude -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Combining Multiple Features in Large Language ModelsVisualizing Data in ChatGPT, Gemini, and ClaudeCreating Custom GPTs, Gems, and ProjectsUploading Files for Automated Data DashboardsComparing ChatGPT Canvas, Gemini Canvas, and Claude ArtifactsUsing Agentic Capabilities for Problem SolvingVisualizing Meeting Transcripts and Unstructured DataOne-Shot Mini App Creation with AI

Timestamps:
00:00 "Unlocking Superhuman LLM Capabilities"

04:12 Custom AI Model and Testing

07:18 "Multi-Mode Control for LLMs"

12:33 "Intro to Vibe Coding"

13:19 "Streamlined AI for Simplification"

19:59 Podcast Analytics Simplified

21:27 "ChatChibuty vs. Google Gemini"

26:55 "Handling Diverse Data Efficiently"

28:50 "AI for Actionable Task Automation"

33:12 "Personalized Dashboard for Meetings"

36:21 Personalized Automated Workflow Solution

40:00 "AI Data Visualization Guide"

40:38 "Everyday AI Wrap-Up"

Keywords:
ChatGPT, Gemini, Claude, data visualization with AI, visualize data using AI, Large Language Models, LLM features, combining LLM modes, custom instructions, GPTs, Gems, Anthropic projects, canvas mode, interactive dashboards, agentic models, code rendering, meeting transcripts visualization, SOP visualization, document analysis, unstructured data, structured insights, generative AI workflows, personalized dashboards, automated reporting, chain of thought reasoning, one-shot visualizations, data-driven decision-making, non-technical business leaders, micro apps, AI-powered interfaces, action items extraction, iterative improvement, multimodal AI, Opus 4.5, Five One Think

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You've been lied to about AI. ?

A lot. 

So on today's Hot Take Tuesday episode, we're breaking down 3 of the most viral AI half-truths of 2025 and setting the record straight. 

Did Anthropic overtake OpenAI? 

Do 95% of AI pilots fail? 

Is half of the internet AI slop? 

Tune in LIVE and find out. 

3 AI Lies most people believed in 2025 (but you shouldn?t) -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Three Viral AI Lies of 2025 DebunkedMenlo Ventures Anthropic vs OpenAI Study CritiqueAnthropic Enterprise Adoption Market Share MythGraphite's "57% AI Content" Internet ClaimAI Content Detector Inaccuracy ExposedMIT 95% GenAI Failure Rate Study AuditAI Study Bias and Marketing ManipulationBest Practices for Evaluating AI Research

Timestamps:
00:00 "AI News: Truth vs. Hype"

04:19 "Debunking AI Myths"

07:08 "Anthropic vs. OpenAI Debate"

10:44 "Menlo Ventures Backs Anthropic"

14:38 OpenAI Dominates Enterprise AI Adoption

18:26 "Exploring AI Content and Detection"

22:16 Watermark Vulnerability in Media

23:36 "MIT AI Credibility Controversy"

29:04 "MIT's Nanda AI Marketing Misstep"

31:27 "AI Investment Delivers Positive ROI"

35:53 "AI Adoption: Pay Attention Now"

36:42 AI Decisions: Misled by Studies

Keywords:
AI lies, 2025 AI myths, generative AI, enterprise AI adoption, viral AI studies, AI misinformation, AI market share, Anthropic, OpenAI, Menlo Ventures, Claude, Microsoft Copilot, API usage, enterprise large language models, AI slop, Graphite study, AI-generated internet content, Surfer SEO, AI content detectors, AI detection accuracy, common crawl database, MIT AI pilot failure study, Nanda MIT, ROI of AI, AI pilots, enterprise software adoption, selection bias, cherry picked data, conflict of interest in AI research, ROI measurement in AI, productivity improvement studies, P&L statements AI, AI marketing, AI innovation, AI statistics, fake AI news, media polarization, unbiased AI research, AI failure rate, agentic AI, enterprise transformation, business leaders AI adoption, viral AI headlines, AI hype, AI skepticism, AI implementation strategies,

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Claude Opus 4.5 has entered the Chat. ??

A week after OpenAI, Grok and Google released their most powerful AI models to date, Anthropic joined the party with their major drop in Claude Opus 4.5. 

But that probably wasn't even the biggest AI news of the week. 

That's because OpenAI isn't just building AI hardware that can hear/know everything, they're reportedly close to launching ads in ChatGPT soon that can take advantage of all that user data. 

Don't spend hours a week trying to keep up with AI news. That's what we do. And on Monday, we bring you the weekly AI News That Matters -- your one-stop shop for being the smartest in AI at your company. 

Claude Opus 4.5 drops, U.S. government makes bold AI move and Ads may be on their way to ChatGPT and more -- An Everyday AI Chat

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Topics Covered in This Episode:

OpenAI Unveils Jaw Dropping AI HardwareOpenAI?s Consumer Device vs. Apple PlansUS Government Launches Genesis AI MissionFederal Supercomputing AI Platform InitiativeNVIDIA Defends AI Chip Market LeadershipMeta Eyes Google TPU Data Center SwitchOpenAI Rolls Out ChatGPT Shopping AssistantChatGPT Shopping Feature Uses GPT 5.1 MiniAmazon $50B AI Cloud Infrastructure ExpansionClaude Opus 4.5: Anthropic?s Latest ModelClaude Opus 4.5 Coding Benchmark ResultsAI Model Cost and API ImprovementsOpenAI Prepares ChatGPT Ads for Free UsersChatGPT Ad Monetization Strategy and LeakGoogle Gemini 3 Pro vs. OpenAI Models

Timestamps:
00:00 OpenAI's First AI Hardware Prototype

06:04 "US Launches AI-Powered Genesis Mission"

09:33 NVIDIA Defends AI Chip Dominance

13:44 "ChatGPT Launches Shopping Feature"

15:14 AI-Powered Shopping Research Insights

19:09 "AI Advancements in AWS Partnership"

23:41 "AI Model Comparisons and Uses"

27:50 "AI, Privacy, and Advertising Potential"

30:42 Tech Updates: AI & Browser Advances

33:23 "Everyday AI: Stay Connected"

Keywords:
Claude Opus 4.5, Anthropic, OpenAI, ChatGPT, AI hardware device, Sam Altman, Johnny Ive, AI powered consumer devices, Foxconn, Apple hardware leaders, US government AI initiative, Genesis mission, Department of Energy, federal supercomputers, AI breakthroughs, AI computing infrastructure, NVIDIA, Google TPUs, 

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"... best model in the world..." ?

Wait, again? 

Days after Gemini 3 Pro splashed on the scene, Anthropic snuck in a low-key drop in Claude Opus 4.5. 

And Anthropic pulled no punches, calling its new model the "best model in the world for coding, agents and computer use"

So, should you be hot swapping your Gemini or ChatGPT use out for the new Opus 4.5? Or, is this model more of a niche for software devs? 

Tune in, as we put AI to Work on Wednesday! 

Opus 4.5: New king of the AI hill or just a niche model for coders?

P.S.... we're out for Thanksgiving. So after this show, we'll see ya Monday!

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Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn


Topics Covered in This Episode:

Claude Opus 4.5 Release & OverviewAnthropic's Coding & Agentic Task BenchmarksOpus 4.5 vs Gemini 3 Pro ComparisonAPI Price Cut & Cost EfficiencyAgentic Tool Search and Context CompactionMultimodal Vision Features & Zoom ToolClaude for Excel & Enterprise Data WorkflowsChrome Extension and Desktop App Updates

Timestamps:
00:00 "AI Throne: Gemini vs. Claude"

05:38 "Trends Dashboard with Claude Tools"

09:25 "AI Model Benchmark Showdown"

11:17 "Benchmark Comparison: Coding Models"

13:49 AI Models for Software Engineering

18:24 Claude API Pricing Slashed

21:09 "Multi-Agent Models & Vision Tools"

25:48 "Claude Chrome Extension Access Update"

28:36 "Claude for Excel Launches"

30:50 "Chat Prompt Context Limitations"

35:45 "Improving AI Chain of Thought"

38:50 "Analyzing Podcast Trends with AI"

40:41 "AI Tools for Building Apps"

Keywords:
Claude Opus 4.5, Anthropic, benchmark leader, AI hill, coding model, software engineering, agentic research, data analysis, Opus 4.5 API price cut, sweep bench verified, coding capabilities, tool orchestration, context compaction, infinite chat, effort parameter, agentic tasks, API pricing reduction, front end AI chatbot, Chrome extension, Claude for Chrome, browser prompt injection, Claude desktop app, Claude code, Excel integration, Claude for Excel, programmatic tool calling, multimodal benchmark, vision capabilities, Zoom tool, document creation, file creation feature, PowerPoint generation, SaaS dashboard, chain of thought reasoning, token limits, context window issues

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Ready for ROI on GenAI? Go to youreverydayai.com/partner 

Even if you've banned AI, your employees are 100% using it. ?

To make matters worse? 

Even if you've approved a certain AI system, your teams are probably using whatever they want. 

And those choices are likely putting your enterprise data at risk. 

So, how do you reel in manage the AI sprawl? 

Kevin Kiley, the CEO of Airia, is laying out the playbook. 

Out of the Shadows: How to Manage AI Sprawl -- An Everyday AI Chat with Jordan Wilson and Kevin Kiley

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Topics Covered in This Episode:

AI Sprawl Challenges for EnterprisesShadow AI and Security RisksCentralized AI Management PlatformsModel Agility and Vendor Lock-In SolutionsSecure Sandbox for Model TestingFinancial Impact of AI SprawlAgentic AI Security ConcernsSteps to Discover and Control Shadow AI

Timestamps:
00:00 Navigating AI Chaos & ROI

04:30 AI Tool Chaos and Security Risks

09:45 Employee Decisions Risk Data Security

12:50 Managing AI Complexity and Security

16:31 "Agility and AI Vendor Risks"

19:50 Model Performance Testing and Flexibility

22:31 "AI Investments Failing Businesses"

25:44 "AI Risks: Security and Weaponization"

28:39 "AI Awareness and Discovery"

Keywords:
AI sprawl, shadow AI, managing AI chaos, enterprise AI security, AI orchestration platform, unsanctioned AI tools, AI spaghetti, AI agents, business process automation, secure AI implementation, modular AI setup, model garden, vendor lock-in, multiple AI models, open source AI, GenAI ROI, financial risk of AI, prompt injection attack, indirect prompt injection, agentic AI, token consumption, AI operational complexity, departmental AI usage, security vulnerabilities, data protection, unauthorized AI tools, central inventory for AI tools, scalable AI solutions, cloud AI attacks, domain-specific models, failover models, autonomy in AI agents, model benchmarking, latency testing, budget management for AI, positive ROI on AI, cross-platform AI management, AI system redundancy, natural language security risks, AI-powered business growth, AI strategy for organizations, business continuity with AI agents, large language models evolution, AI-driven productivity.

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Ready for ROI on GenAI? Go to youreverydayai.com/partner 

Wildest week in AI since December 2024. ?

?Gemini 3 is out and it's REALLY good. 
? GPT-5.1 Pro might end up being better. (Even though no one is talking about it) 
?Microsoft is releasing agents where people will actually use them. 
? Nano Banana Pro will probably be more impactful than Gemini 3 (as banana as that sounds. 

Whew. What a week in AI. 

Don't waste hours scratching your head. Join us as we bring you the AI News That Matters. 

Gemini 3 impresses, GPT-5.1 Pro rolls out, Microsoft brings 365 Agent updates and more AI News That Matters

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Topics Covered in This Episode:

Gemini 3 Model Launch & FeaturesGoogle Gemini 3 Benchmarks & PerformanceNano Banana Pro Image Model ReleaseNano Banana Pro Capabilities & Use CasesOpenAI ChatGPT Group Chats LaunchedMicrosoft Agent 365 AI Management ToolsMicrosoft Copilot Word, Excel, PowerPoint AgentsEU Digital Omnibus Eases AI RegulationMicrosoft & Nvidia Invest in AnthropicOpenAI GPT-5.1 Pro Model RolloutGoogle NotebookLM Adds Nano Banana ProSlide Decks & Infographics with GeminiAI News: XAI Grok 4.1, Perplexity UpdatesGoogle Ads Integration With Nano Banana Pro

Timestamps:
00:00 "Gemini 3 AI Release"

06:36 "Nano Banana Pro Unveiled"

09:17 "Google Gemini's Nano Banana Launch"

12:05 "ChatGPT in Group Chats Explained"

17:17 "Copilot Chat Powers Office Files"

21:46 EU AI Regulation Sparks Controversy

25:15 "Microsoft, OpenAI, and AI Funding"

28:16 "OpenAI Launches GPT-5.1 Pro"

29:53 "GPT-5.1 Pro: Early Insights"

32:58 "GPT-5.1 Pro Insights"

37:56 "AI Tools Streamlining Design Workflows"

40:40 "AI Breakthroughs, Deals, and Departures"

42:53 "AI Studio: Build Apps Faster"

Keywords:
Gemini 3, Google AI, AI model, Multimodal capabilities, Video understanding AI, Image generation, Nano Banana Pro, Coding with AI, Text-to-image, Large Language Model, OpenAI, GPT-5.1, GPT-5.1 Pro, Microsoft AI agents,

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Ready for ROI on GenAI? Go to youreverydayai.com/partner 

Yeah, agnetic browsers can do your work for you. ?

But..... should they?

How do we tip-toe the fine line between the upside productivity of agentic browsers and the potential security nightmares they bring with them?

Tune it and let's chat about it.

AI Agents in your browser Work Cheat Code or too Risky? An Everyday AI Chat with Jordan Wilson and ABBYY's Maxime Vermeir

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Topics Covered in This Episode:

Agentic Browsers: Cheat Code vs RiskEnterprise Adoption of Agentic BrowsersAgentic Browser vs ChatGPT/GenAI AgentsAgentic Browser Compliance and Data PrivacyTop Agentic Browser Use Cases for BusinessEnterprise GenAI Integration ChallengesAgentic Browser Effects on Workflow AutomationFuture Risks of Default Agentic Browsers

Timestamps:
00:00 "AI Browsers: Cheat Code or Risk?"

03:49 "Enterprises Adapting to Agentic Tech"

07:54 "Exemptive Browsers: Time Saver?"

13:12 "Global Tech Investment Complexity Underestimated"

16:23 Agentic Browser: System Access Revolution

18:49 "Legal Uncertainty in Data Privacy"

21:24 "GenAI Risks and Responsible Use"

27:44 "Automating Tasks with Evolving AI"

28:43 "Workflow Automation and Risks"

Keywords:
agentic browsers, agentic browser, AI agents, cheat code or risk, browser automation, browser agents, business productivity automation, OpenAI Atlas, Perplexity Comet, ChatGPT, compliance risks AI, data privacy, enterprise AI adoption, workflow automation, software integration, robotic process automation, repetitive task automation, document processing AI, unstructured data, personal productivity tools, risk and compliance AI, AI ethics, business process optimization, shadow IT, policy management AI, user context awareness, browser access, sensitive information, PII handling, GDPR compliance, downstream effects,

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Richard Seroter is a Chief Evangelist at Google. ?

So it?s LITERARLLY his job to help people use Google?s AI products.

So with him joining the Everyday AI show, you KNOW he?s gonna be dropping some time-saving and business building strategies.

And a bit of future of work knowledge along the way.

This is one you DO NOT wanna miss.

5 Simple AI Strategies to Supercharge Your Workflow with Google -- An Everyday AI Chat with Jordan Wilson and Google Cloud's Richard Seroter

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Topics Covered in This Episode:

Five Simple Google AI Workflow StrategiesGemini Deep Research for Fast AnalysisNotebookLM Grounded AI Learning ExplorationGemini CLI and Code Assist for BuildersGoogle Jewels Autonomous AI Coding AgentsAI-Powered Context Integration in Google WorkspaceAI Tools for Change Management and ProductivityAI Interface Revolution Across Google Products

Timestamps:
00:00 "Simple AI Strategies for Workflows"

06:51 "AI First, Thoughtful Application"

09:21 "Deep Research for Change Management"

11:54 Context Engineering with LLMs

16:30 Simplify Complex Launches Effectively

19:41 "Learning the Hard Way"

22:36 "Empowering Everyone to Build"

24:16 "Builders Winning with AI"

29:38 "AI: The Smarter Interface"

30:44 "AI Strategies for Future Work"

Keywords:
Gemini, Google Cloud, AI strategies, workflow automation, generative AI, Gemini Deep Research, deep research analysis, NotebookLM, grounded AI answers, personal context in AI, Google AI mode, AI-powered search, AI code assistant, Gemini CLI, coding with AI, agentic workflow, autonomous AI coding agent, Google jewels, background AI teammate, demos over memos, change management in AI adoption, cultural change in tech, context engineering, AI in Chrome, onboarding with AI, synthesizing information,

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You ever see a new AI model drop and be like.... it's so good OMG how do I use it? ?

Same. 

And yeah.... Gemini 3 is THAT good. 

So if you're wondering what's new, why it matters and how to use it, this episode is for you. 

AI at Work on Wednesdays: let's get it with the world's most poweful model in Gemini 3. 

Gemini 3 Deep Dive and 3 Upgraded Use Cases Anyone Can Use -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Gemini 3 Release Overview & ContextGemini 3 AI Model Benchmark ScoresGemini 3 Advanced Multimodal CapabilitiesGemini 3 Agentic Research & Tool UseGemini Canvas Interactive Data DashboardsAI Studio Vibe Coding Experience UpgradeAnti Gravity Platform for Developer AgentsGemini 3 Pro Features in Google Search

Timestamps:
00:00 "Gemini 3: Unveiling the Upgrade"

05:43 "Google Gemini 3 Capabilities"

08:19 "Gemini 3 Powers Business Workflows"

11:16 "Gemini 3 Pro Dominates Benchmarks"

16:30 "Immersive Generative UI Advances"

18:09 "AI-Powered Dynamic Calculators"

22:30 Interactive Trend Dashboard Creation

26:03 "Streamlined AI News Workflow"

29:31 "Everyday AI and Gemini Updates"

31:54 Interactive Team Rankings Summary

36:04 "AI Studio and Business Tools"

37:20 "Evergreen AI & M&A Topics"

Keywords:
Gemini 3, Google Gemini, Google, AI update, Large Language Model, Multimodal AI, AI benchmarks, AI Studio, Vibe Coding, DeepMind, Agentic Research, AI Search Mode, Gemini Canvas, Data Visualization, Reasoning capabilities, PhD-level performance, Blind benchmark tests, LM arena, GPQA Diamond, Math Arena, Apex, Multimodal understanding, Video analysis, Spatial reasoning, Million token context window, Agentic encoding, Tool use, Web dev arena, Design arena, Learning tools, Flashcards, Visual aids, Long horizon planning, Workflow automation, Enterprise AI, Anti Gravity platform, Developer tools, IDE, AI mode in search, Google Vertex, Google CLI, Function calling, Real-time interactive tools, Simulation widgets, On-demand calculators, Dynamic generative UI, 

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Gemini 3 is officially here. ? ? ?

For about 8 months, Gemini 2.5 Pro has mostly maintained its standing as the top LLM in the world yet Google just unleashed its successor in Gemini 3.0. 

So, what's new in Gemini 3? 

And whether you're a developer or casual user, what does Google's new model unlock? 

Join us as we chat with Google's Logan Kilpatrick's for all the answers. 

Gemini 3: What?s new and what it unlocks for your business with -- An Everyday AI Chat with Google DeepMind's Logan Kilpatrick and Jordan Wilson

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Topics Covered in This Episode:

Gemini 3 Release Overview & FeaturesState-of-the-Art AI Benchmarks ExceededGemini 3 in Google Ecosystem ProductsGemini 3 Vibe Coding Capabilities DemoNon-Developer Use Cases for Gemini 3Multimodal Understanding and VisualizationsAgentic AI Tools: Gemini Agent & Anti GravityBusiness Growth with Gemini 3 AI Integration

Timestamps:
00:00 Gemini 3: State-of-the-Art AI

05:59 "Gemini 3: Build Ambitiously"

08:16 "AI Studio: Bringing Ideas Alive"

12:44 Gemini App Agents & Anti-Gravity

14:57 "Enhancing AI as a Thought Partner"

17:01 AI Studio: Build Apps Faster

Keywords:
Gemini 3, Gemini 3 Pro, Google AI, AI Studio, Vibe Coding, multimodal model, agentic coding, tool calling, anti gravity, generative interfaces, Gemini app, APIs, AI capabilities, interactive experience, visual dashboard, bespoke visualization, state-of-the-art model, developer platform, agentic developer tools, benchmark results, code editor, IDE integration, product experiences, infrastructure teams, triage inbox, personal assistant, proactive agents, 2.5 Pro, model capability, product feedback, code generation, gallery applets, build mode, ambition in AI, software engineering, feature enhancement, thought partner, AI-powered building, on demand experience, interactive visualizations, coding advancements, user engagement, real-time rollout.

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Buckle up AI world. 

OpenAI released a new model, and apparently they?re not done. 

Google is reportedly dropping Gemini 3 in hours. 

Jeff Bezos is going back hands-on building a new AI company. 

And that?s just the tip of the AI iceberg this week. 

Don?t get drowned out in the noise. On Monday, we cut it straight with the AI news that matters. 

Gemini 3 close to release, OpenAI drops GPT-5.1, Bezos to lead new AI startup and more AI News That Matters

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Topics Covered in This Episode:

OpenAI GPT-5.1 Release & FeaturesGPT-5.1 Personality Controls ExplainedGPT-5.1 Thinking vs. Instant ModelsGoogle NotebookLM Deep Research UpdateNotebookLM Image & File Type SupportAnthropic $50B AI Data Center ExpansionAnthropic Claude Cyberattack IncidentOpenAI ChatGPT Group Chat Pilot LaunchJeff Bezos Project Prometheus AI StartupMeta AI Chief Yann LeCun Exit RumorsMicrosoft Fairwater AI Data Center LaunchGoogle Gemini 3 Anticipated Release UpdateNano Banana Pro Image Generator LeaksMulti-Agent Systems in Gemini EnterpriseOpenAI GPT-5.1 Prompt Cookbook Release

Timestamps:
00:00 OpenAI Launches GPT 5.1

07:06 "GPT 5.1: Better, Yet Wordy"

09:08 "AI Updates and Insights"

11:19 NotebookLM Updates with Spreadsheet Support

16:38 "ChatGPT Group Chat Collaboration"

21:00 Bezos Co-CEO of AI Startup

25:29 Meta's AI Overhaul Sparks Chaos

28:13 "AI Exploited for Cyberattacks"

30:53 "Microsoft Expands AI Data Centers"

35:37 "Nano Banana Pro & Gemini 3"

40:12 AI Updates: GPT-5.1 Features

40:58 "AI News & Insights Weekly"

Keywords:
Gemini 3, Google AI, AI model release, GPT 5.1, OpenAI, AI conversational model, reasoning behavior, personality controls, compliance improvements, auto routing feature, thinking vs instant models, data center investment, Anthropic,

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Everyone knows AI needs your data to truly work.

But, what about your company's reasoning? ?

Buried beneath the modes and models, features and agents is something so fundamental that we almost always overlook it: the friggin gold that is your company's conversations.

It's your expertise. Your secret sauce. Your decision making. Your competitive advantage.

This is what you do about it.

Using AI to turn conversations into revenue: A leader?s guide -- An Everyday AI chat with Dialpad's Jim Palmer and Jordan Wilson

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Topics Covered in This Episode:

AI-Powered Communications Platforms ExplainedEnterprise Data Security in AI SandboxesTurning Business Conversations into AI InsightsLarge Language Models for Conversation AnalysisLeveraging Unstructured Meeting Data with AIReal-Time Sentiment Analysis for Revenue GrowthAI Automation in Contact Centers and SalesEvaluating and Fine-Tuning Language Models SafelyResponsible AI Automation and Red Teaming Practices

Timestamps:
00:00 "Turning Conversations into Revenue"

03:31 "AI-Powered Business Communication Platform"

06:16 AI's Expanding Role Everywhere

09:51 Secure Communication and Data Insights

15:46 "AI Innovation and Collaboration"

16:56 AI Hackathon Accelerates Innovation

21:56 Optimizing AI for Accuracy

23:17 AI for Insights and Connections

27:34 "Evaluating and Building AI Trust"

31:46 Preparing for Automation in Business

34:31 "Aria: Model-Agnostic AI Solution"

Keywords:
AI-powered communications platform, Dialpad, large language models, business automation, customer conversations, conversation analytics, structured data, unstructured data, conversational AI, voice data, meeting insights, sales optimization,

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What happens when the web is all bots and AI? ?

And more importantly, what happens to your company's online presence when AI search completely takes over?

Big questions.

So we're bringing in the big gun for the answers.

Michael Walrath is the Chairman and CEO Yext Inc, a global leader in brand management and search experience. 

Michael will dish the essentials on how brands can not just stay relevant in the post-human web, but how they can thrive and get ahead. 

Don't miss this one. 

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Topics Covered in This Episode:

Post-Human Web SEO StrategiesStructured Data for AI DiscoverabilityLarge Language Models Disrupting SearchAnswer Engine vs Traditional Search SEOIntent-Based Search and Brand VisibilityMemory in AI Answers Engines ExplainedGranular Content Optimization for AIBlocking AI Crawlers: Brand Strategy DebateAI-Generated Ads Impact on SEM & SEOAuthoritative Brand Data for Visibility

Timestamps:
00:00 "Brands in the AI Era"

05:42 "Future of Search Engines"

08:19 "Generative AI vs SEO Strategy"

09:37 AI Personalization for Better Answers

12:41 "AI-Friendly Data for Brands"

15:56 "Empowering SEO with Seamless Tools"

20:29 "Future of AI-Powered Advertising"

24:48 "AI Knowledge: Useful but Creepy"

26:08 AI Impact on Ad-Supported Content

29:32 "Reddit Strategy Isn't Necessary"

Keywords:
Post-human web, brand visibility, generative AI, large language models, answer engines, structured data, organic SEO, search engine optimization, content creation, reputation management, social media management, digital transformation, data distribution, authoritative business data, machine learning, AI-powered search, fragmented discovery, natural language processing, context and memory, answer engine optimization, AI visibility, SEO strategy, 

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You probably missed these NotebookLM updates. ?

While AI World has been focused on bubbles popping and data centers, Google has kinda quietly rolled out a friggin cornucopia of updates to its Gemini-powered NotebookLM. 

Real talk: NotebookLM is more than a personal productivity tool. It's now an essential AI secret weapon for growing teams. 

Join us as we tell you how and highlight 8 new features you've gotta know. Let' put AI to work on Wednesdays! 

NotebookLM: 8 New Updates for November that you should be using -- An Everyday AI Chat With Jordan Wilson

 

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Topics Covered in This Episode:

NotebookLM Eight November Updates OverviewCustom Prompt Viewing for Deep Dive ReportsChat History Defaults On in NotebookLMGoal-Based Chat Customization for UsersEnhanced Privacy Controls in Shared NotebooksGoogle Sheets Import in NotebookLMGemini 1,000,000 Token Context Window IntegrationMobile App Quizzes and Flashcards ReleaseNano Banana AI Visuals in Video OverviewsPractical Use Cases for New NotebookLM Features

Timestamps:
00:00 "AI Updates and Use Cases"

05:09 "AI Wednesday: Notebook LM Updates"

07:14 "AI Updates and Features"

11:12 "Notebook LM: Grounded AI Tool"

16:28 "Access and Reuse Custom Prompts"

18:09 "Unified AI Collaboration Platform"

20:47 "Nano Banana: Google's AI Tool"

25:47 Notebook LM's Surprising Evolution

27:53 "Spreadsheet Import Size Limitation"

31:00 Mobile Learning Upgrade Boosts Productivity

34:06 "Nano Banana's Contextual Brilliance"

37:32 Import Data for AI Roleplay

41:45 "Keep Everyday AI Alive"

43:23 Next Time

Keywords:
notebook lm, NotebookLM updates, Google NotebookLM, Gemini 2.5, AI grounding, custom prompt, deep dive reports, chat history, goal based customization, privacy controls, Google Sheets integration, context window, 1,000,000 token context, mobile app updates, 

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Apple is paying Google $1 billion because it failed at AI. ?

According to reports, Apple's powering its next generation of Siri with a custom version of Google's Gemini model. 

So... how did Apple fail so bad and why is Google bailing them out? 

And ultimately... what does this mean for Apple's users worldwide? 

Come for those answers, stay for the #HotTakeTuesday 

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Topics Covered in This Episode:

Apple's $1 Billion Gemini AI DealSiri's Internal Failure Rate AnalysisApple's Generative AI Development StrugglesGoogle Gemini Integration for Siri ExplainedData and Privacy Challenges in Apple AIMarket Cap Impact from Apple?s AI LagApple?s Talent Drain in AI EngineeringMixture of Experts Model for Siri?s UpgradeComplex Multi-App Commands with Gemini-Powered SiriFuture of Apple?s Own Trillion-Parameter Model

Timestamps:
00:00 "AI Innovation Needs Safe Sandbox"

03:19 Apple's Siri AI Failure

09:04 "Apple?s AI Strategy with Gemini"

12:48 Apple's Market Cap Shift Explained

15:41 Apple's Siri: Tech Debt Struggles

20:06 Apple-Google Rivalry Over Data Privacy

21:48 "Apple's Cost-Effective AI Strategy"

24:33 Future AI-Empowered Data Organization

30:12 Apple Bailout & Siri?s AI Needs

31:19 "Model-Agnostic AI Solution"

Keywords:
Apple, Google Gemini, Siri, $1 billion bailout, AI partnership, privacy first company, generative AI failure, Apple Intelligence, large language model, 1.2 trillion parameter model, licensing agreement, Siri upgrade, AI brain, ChatGPT integration, OpenAI, Anthropic, talent drain, data gap, market cap, arrogance in AI development, private cloud compute, stateless compute, mixture of experts, sparse activation, cost management, reasoning models, multi-step commands, mobile assistant, voice agents,

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Could a model named?. Kimi K2 Thinking wreak havoc on the U.S. AI scene? ?

And why is Apple gonna pay Google a billion dollars a year? ?

And is OpenAI suggesting a government insurance if AI fails? ?

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

On Mondays, Everyday AI brings you the AI News That Matters. 

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Topics Covered in This Episode:

Apple-Google Gemini AI Siri PartnershipOpenAI Federal Financing Backstop ControversyMoonshot Kimmy K2 Open Source LLM BenchmarksAnthropic's $350 Billion Valuation SurgeMicrosoft Launches Humanist Superintelligence TeamIBM Announces AI-Driven Job CutsMeta's $600B AI Infrastructure InvestmentGoogle's Project Sun Catcher: Space Data CentersOpenAI $38B AWS Cloud PartnershipGoogle Gemini Deep Research Across Workspace Apps

Timestamps:
00:00 Apple Chooses Google Gemini AI

06:12 "AI Shorting Sparks Market Stir"

08:44 Google Deepens AI Race Investments

12:33 "AI Model Performance Concerns"

16:38 "Microsoft?s AGI Push Begins"

18:25 "Humanist Superintelligence vs AI Autonomy"

21:08 IBM Cuts Jobs for AI Focus

25:57 Meta's AI Rumors: Open vs Closed

29:04 Google Stress-Tests Space TPU Chips

31:52 "OpenAI Clarifies: No Federal Backstop"

35:10 "OpenAI's Mixed Messaging"

38:17 AI Updates: GPT-5, Gemini, Research

41:12 Everyday AI: Subscribe & Explore

Keywords:
Apple and Google AI partnership, Gemini AI, Siri AI update, billion dollar AI deal, Anthropic AI, OpenAI federal backing, AI government bailout, Michael Burry AI short, Nvidia stock drop, Palantir stock, US Department of Justice antitrust, Tim Cook AI acquisition, AI production risks, Aria AI sandbox, Microsoft superintelligence, Mustafa Suleiman, humanist superintelligence, frontier AI models, recursive self-improvement, 

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There's like a bajillion AI agents. ?

But most of the REAL agents fall into these 7 categories that you need to understand.

Oh.... and don't worry. We'll break down the top 10 AI Agents for business growth.

Join us as we go over Agents 101, the 7 categories of AI agents, and the 10 you should be paying most attention to.

Ep 649: The 7 Types of AI Agents and the 10 Top Agents for Businesses to Grow

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Topics Covered in This Episode:

AI Agent Market Growth OverviewDefining AI Agents vs. ChatbotsAI Agents vs. Large Language ModelsSeven Types of AI Agent CategoriesAI Agent Adoption in Enterprise WorkflowsRisks and Pitfalls of AI Agent UsageTop 10 AI Agents for Business GrowthKey Features of Leading AI AgentsSelecting the Right AI Agent StrategyFive-Day Plan for AI Agent Implementation

Timestamps:
00:00 "Agentic AI: Hype vs Reality"

04:19 "AI Agents Need Human Oversight"

07:26 "AI Agents Embedded in Workflows"

11:23 "AI Agents vs Agentic Browsers"

15:14 "Generative AI Expertise & Training"

19:32 "AI Costs: Endless Loops Warning"

20:49 "ChatGPT Agent Mode Overview"

24:19 "Microsoft Copilot Permissions Challenges"

29:20 "Agent Force: Salesforce Automation Tool"

31:19 "Mastering AI Tools for Leaders"

35:11 "Replit?s AI: Empowering Non-Tech Users"

36:35 Zapier Agents Automate Workflows

41:13 "Robust Cloud Autonomy Explained"

45:51 Safe AI Implementation Guidelines

46:26 Human Errors and AI Mistakes

49:59 AI Agents & Enterprise Future

Keywords:
AI agent, AI agents, agentic AI, agentic AI market, autonomous AI agent, enterprise AI agent, business AI agent, generative AI, agent washing, agent mode, ChatGPT agent mode, Microsoft Copilot Studio, Claude Code, Anthropic Claude, Google Project Mariner, Project Astra, AWS Bedrock agents, large language model, reasoning models, sub agents, coding models, software engineering agents, enterprise workflow automators, specialized research agents, analysis agents, foundational platforms, agentic browser, conversational companion agents, UI automation agents, web automation agents, observability, traceability, permissions, approval workflows, 

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Is it AI failure or AI success? ?

We see massive trillion dollar valuations for AI companies, yet constant ?AI bubble? bust stories. 

And we see stories playing out in the media that say AI is both an enterprise boon and a complete waste of time. 

Welp?. A new study from Wharton will hopefully put this to rest. 

Among other things, it shows that 74% of companies see a positive ROI on AI and also lays out the roadmap to debunk all the naysayers along the way. 

Join us as we dive in.

Ep 648: How 74% of Enterprises Get Real AI ROI While Pundits See Failure

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Topics Covered in This Episode:

Wharton Three-Year GenAI ROI Study74% Enterprises Achieve GenAI ROIEnterprise AI Success vs. Failure NarrativeMIT Viral Study Debunked (95% Failure)Productive AI Focus: Boring Tasks WinEnterprise AI Training Crisis AnalysisExecutive vs. Manager AI Optimism GapSkills Paradox: AI Use vs. Atrophy

Timestamps:
00:00 AI: Success or Failure?

03:41 "ROI Debate Over Generative AI"

08:27 "Grow Business with Generative AI"

12:19 "Study's Fatal Flaw Exposed"

16:28 AI Deployment Challenges and Insights

19:11 "Training Crisis in AI Adoption"

22:01 "Build an AI-Focused Team"

25:39 "AI's Impact on Human Skills"

29:00 "AI Adoption: Are You Ahead?"

31:43 "AI Era: Human Transformation Rules"

34:52 "AI Evaluation & ROI Insights"

37:07 "Subscribe, Share, Support Everyday AI"

Keywords:
AI ROI, enterprise AI success, generative AI, return on investment, Wharton study, 74% of enterprises, AI failure narrative, viral MIT study, 95% AI pilots fail, enterprise transformation, productivity gains, large language models, AI agents, back office automation, executive alignment, moonshot AI projects, specialized killer apps, legal contract review, HR recruitment, agentic AI, algorithmic trading, DeepSeek saga, OpenAI business customers, Nvidia valuation, technology adoption, formal ROI metrics, business linked metrics, top down AI implementation, training crisis, investing in people over technology, human potential, skills paradox, skill atrophy, 

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Ready for ROI on GenAI? Go to youreverydayai.com/partner