• Ep 806: Desktop Agent Lingo Simplified: Goals, Loops, Plans, Subagents and how it works in Codex and Claude Code
    Jun 25 2026

    Talking about prompts and chatbots won't help you talk about AI strategy in 2026.

    You've gotta know the ins and outs of loops, plans, goals, subagents and more.

    In this episode of Everyday AI, we're breaking down the agent lingo and how the key terms play out in systems like Codex and Claude Desktop.

    Desktop Agent Lingo Simplified: Goals, Loops, Plans, Subagents and how it works in Codex and Claude Code -- An Everyday AI Chat with Jordan Wilson


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

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:

    1. Desktop Agent Vocabulary Primer
    2. Agent Harnesses: Codex vs. Claude Code
    3. Desktop Agent Plans: Features and Workflow
    4. Goal Setting in Codex and Claude Desktop
    5. Plan vs. Goal: Key Differences
    6. Agent Loops: Automation and Verification
    7. Sub Agents: Parallel Task Management
    8. Context Windows and Task Delegation
    9. Guardrails, Verification, and Cost Control
    10. Transition from Chatbots to Autonomous Agents




    Timestamps:

    00:00 Shifting focus to AI agents

    03:28 Accessing the Start Here series

    09:31 Using plan mode in clawed desktop

    12:04 Understanding plan vs. goal mode

    14:25 Setting project goals and planning

    19:33 Accessing Start Here series

    22:03 Building effective training loops

    26:48 Managing sub agents effectively

    27:30 Setting up sub-agent system

    30:47 Closing and subscription reminder






    Keywords:

    desktop agent, desktop AI agent, agent lingo, agent vocabulary, long running agent, autonomous agent, codex, Claude Code, Claude desktop, AI harness, agentic harness, agentic tools, super app, Microsoft super app, OpenAI codex, long running desktop agents, plan mode, planning phase, agent plan, goal setting, AI goal, agent goals, loop mode, agent loops, scheduled automations, sub agents, agent subagents, context windows, parallel work, context hygiene, verification steps, approval points, skills, automations, API token usage, project threads, co work tab, code tab, work trees, checkpoints, file access, browser automation, human in the loop, token efficiency, agent delegation, AI supervision, knowledge work automation, AI subagent management, desktop agent mental model, computer control, AI project management, AI workload delegation, remote steering, front end chatbot, proactive AI, AI context sharing.

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

    Start Here ▶️

    Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com

    Also, here's a link to the entire series on a Spotify playlist.

    Show More Show Less
    31 mins
  • Ep 805: Codex Record and Replay: How to Teach an Agent Once Your Most Time-Consuming Workflows
    Jun 24 2026

    Ever wish your agent would just watch you work and copy you? 👯

    Oh wait, that's exactly what OpenAI released.

    The new 'Record and Replay' feature in Codex allows you to simply record anything you do and turn it into a repeatable workflow for your agents.

    Join us LIVE as we show you how. ⏺️

    Codex Record and Replay: How to Teach an Agent Once Your Most Time-Consuming Workflows -- An Everyday AI Chat with Jordan Wilson


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

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:

    1. Codex Record and Replay Feature Overview
    2. Transition from Prompting to Demonstration
    3. Skill Markdown Files as Business Artifacts
    4. Codex vs Claude Desktop Agent Comparison
    5. Workflow Recording and Security Best Practices
    6. Step-by-Step Codex Record and Replay Demo
    7. Video Understanding Capability in Codex
    8. Editing and Sharing Skills Across Platforms
    9. Automating Multi-App, Cross-System Workflows
    10. Validation, Scheduling, and Automation of Skills




    Timestamps:

    00:00 OpenAI's record and replay feature

    04:41 Preparing for screen sharing

    08:56 Managing Small Tasks Efficiently

    10:03 Automating top story analysis

    15:43 Debating AI business strategies

    18:29 Codec's video ingest feature

    22:01 Practicing low stakes automation

    24:57 Using skills and plugins efficiently

    26:19 Using Chattopty for workflow automation






    Keywords:

    codex record and replay, OpenAI record and replay, record and replay feature, codex workflow automation, proactive AI agents, skill.md file, skill markdown file, editable skill files, demonstration over prompting, desktop AI agents, Mac AI features, video ingestion AI, video understanding by AI, cross-platform AI workflows, AI workflow scheduling, codex plugins, codex Chrome profile, AI screen recording, reusable AI skills, skill file cross-compatibility, Claude desktop import, Google Gemini video support, AI workflow privacy, enterprise AI permissions, low stakes workflow automation, scheduled AI automations, computer use access, browser automation AI, AI handling Chrome profiles, prompt engineering replacement, automation library, validation of AI skill files, skill validator, PyYAML error handling, skill replay, Codex versus Claude, multi-app workflow automation, real business artifact AI, automation success criteria, desktop program integrations, computer task recording, mundane workflow automation, non-technical AI setup, AI scheduled worker, AI skill refinement

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

    Start Here ▶️

    Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com

    Also, here's a link to the entire series on a Spotify playlist.

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    29 mins
  • Ep 804: Open Source Surge? Does GLM-5.2 Make Open Source an Enterprise Priority? (Start Here Series Vol 29)
    Jun 23 2026

    Is the open model GLM-5.2 really Opus 4.8 level? 🤯

    You mighta missed this, but over the past few weeks, three distinct forces have all converged at one:

    ↳ Chinese open models are near frontier SOTA
    ↳ Microsoft is reportedly considering open models to run Copilot
    ↳ Enterprises everywhere are talking token efficiency as AI costs soar

    So while many are watching GLM-5.2 as an isolated model, it's important we dive deeper on its wider implications.


    Open Source Surge? Does GLM-5.2 Make Open Source an Enterprise Priority? -- An Everyday AI Chat with Jordan Wilson


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

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:

    1. Open Source AI's "ChatGPT Moment"
    2. GLM 5.2 Model Benchmarks & Performance
    3. Enterprise Adoption Drivers for Open AI
    4. Microsoft Evaluating DeepSeek for Copilot
    5. Token Maxing to Token Efficiency Shift
    6. GLM 5.2 Infrastructure vs. Consumer Use
    7. Autonomous Workflow Overshoot Explained
    8. Capability Gap and Workflow Challenges
    9. Enterprise Scenarios for Open Source Models
    10. Future of Task-Specific SOTA AI Models




    Timestamps:

    00:00 Open source AI catching up

    04:52 Enterprise shift to DeepSeek models

    08:57 Comparing AI model performances

    12:46 Running AI models locally

    14:17 Open source model cost efficiency

    17:37 Cost challenges with AI models

    21:05 Agentic task token consumption

    25:05 Introducing the Start Here series

    27:58 Impact of AI on Job Roles

    32:29 Evaluating Open Source AI Models

    36:00 Considering open source models

    37:09 Future of open source AI






    Keywords:

    open source AI, open source AI models, GLM 5.2, z AI, Zhipu AI, Chinese open source models, DeepSeek, Microsoft, enterprise AI, token maxing, token efficiency, AI spend, AI deployment, open weight models, proprietary AI models, AI benchmarks, Artificial Analysis Intelligence Index, enterprise infrastructure, agentic workflows, coding tool use, autonomous agents, long context window, coding capabilities, API costs, AI privacy considerations, model distillation, data privacy, compute requirements, GPU infrastructure, AI hardware, API hosting, Hugging Face, AWS, AI cost reduction, Copilot Cowork, Azure security, Anthropic, OpenAI, Claude Opus, multimodal models, task-specific AI models, model capability gap, autonomous workflow overshoot, agentic tasks, non-agentic tasks, state of the art open models, model fine-tuning, small language models, AI adoption barriers, frontier models, AI job automation, workflow transformation, AI subsidies, token billing, Stanford AI study, AI industry trends

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

    Start Here ▶️

    Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com

    Also, here's a link to the entire series on a Spotify playlist.

    Show More Show Less
    39 mins
  • Ep 803: Anthropic Continues Fable Fight, Microsoft Goes Open Source, Midjourney’s Big Pivot and More AI News That Matters
    Jun 22 2026
    While Anthropic and the U.S. Government continued to try and make amends, there was another seismic shift quietly taking place: open source surged. Between Microsoft reportedly testing Open Source models for Copilot and the powerful new GLM-5.2, there was a clear trend this week in AI world. Missed it all? Don't worry, we'll catch you up so you can make the informed decisions for your company. Anthropic Continues Fable Fight, Microsoft Goes Open Source, Midjourney’s Big Pivot and More AI News That Matters -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Anthropic Fable 5 and Mythos 5 Export BanTrump Labels Anthropic a National Security ThreatMicrosoft Copilot CoWork Open Source Model SwitchMicrosoft Considers DeepSeek-V4 for AI Cost ReductionChinese GLM 5-2 Sets Open Source BenchmarkGLM 5-2 Challenges Proprietary AI ModelsMidJourney Hardware Pivot: AI Medical Imaging ScannerCursor Building 1.5T Parameter Model, GitHub CompetitorAI CEO Summit: G7 Pushes US-Led AI CoalitionOpenAI Prepares GPT-5.6 ReleaseAnthropic, OpenAI, Google Face Geopolitical AI ScrutinyAdvancements in Token Efficiency and Cost ControlTimestamps:00:00 Trump's comments on Anthropic06:17 Microsoft exploring lower-cost AI models09:07 Microsoft exploring DeepSeek amid tensions13:45 AI model performance and efficiency trends15:59 AI leaders meet at G7 Summit21:22 Midjourney unveils first hardware product23:26 MidJourney's innovative spa technology28:50 Discussing Cursor's evolution and impact32:24 Talking about AI use cases33:27 Rumors and upcoming AI model releases37:20 OpenAI's major new hiresKeywords: Anthropic, Fable Five, Mythos Five, export controls, national security threat, Dario Amodei, Amazon, supply chain risk, Defense Production Act, Copilot CoWork, Microsoft, usage based pricing, open source AI, DeepSeek V4, Chinese AI model, token costs, Azure, agentic AI, enterprise AI billing, data security, compliance filters, GLM 5-2, Zhipu AI, 753 billion parameter model, MIT open source license, long context window, autonomous coding, Hugging Face, benchmark performance, text only model, multimodal capabilities, token efficiency, AI spend, G7 summit, AI governance, AI coalition, AI standards, cybersecurity risks, bioterrorism, chip trade, Sam Altman, OpenAI, Claude Opus 4.8, Gemini 3.5 Pro, MidJourney, medical imaging, MidJourney scanner, full body ultrasound, Butterfly Network, MRI alternative, spa launch, SpaceX, Cursor, 1.5 trillion parameter model, code hosting, GitHub competitor, code generation, AI super apps, Colossus compute, technical prompts, context window expansion, GPT 5.6, Claude Conway agent, Grok Imagine, Firefly AI, code artifacts, Google Ad Manager AI, Open Knowledge Format, Noam Shazeer, Dean Ball, Andrej Karpathy.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist.
    Show More Show Less
    40 mins
  • Ep 802: ChatGPT’s Task Comeback, Claude’s Design upgrade, Codex Copies your workflow and 7 other Fresh AI features you’ll Want to use Today
    Jun 19 2026

    ChatGPT tasks are back, Jack. ✅

    While we were collectively ping-ponging the Anthropic vs. U.S. government saga, the big tech AI players rolled out a TON of fresh AI features that are available today.

    ↳ Claude Design got a big upgrade
    ↳ Google Vids got some serious AI sparkle
    ↳ And there's a new Open Weights model king

    We'll break it all down.


    ChatGPT’s Task Comeback, Claude’s Design upgrade, Codex Copies your workflow and 7 other Fresh AI features you’ll Want to use Today -- An Everyday AI Chat with Jordan Wilson


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

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:

    1. ChatGPT Pulse Sunsetting and Tasks Comeback
      2. ChatGPT Scheduled Tasks Features and Access Tiers
      3. Claude Design June Update Overview
      4. WYSIWYG Editing and Design System Imports in Claude Design
      5. Claude Design Export Options and Third-Party Integrations
      6. Google Vids AI Avatars Upgrade with Veo 3.1
      7. OpenRouter Fusion Multi-Model Synthesis Feature
      8. Claude Code Artifacts for Team and Enterprise Plans
      9. GLM 5.2 from ZAI Open Weights Model Overview
      10. GLM 5.2 Benchmarks and Enterprise Use Cases
      11. OpenAI Codex Record and Replay Feature Explained
      12. Codex Record and Replay vs. Traditional RPA Tools



    Timestamps:

    00:00 Intro: 7 new AI features you can use today

    02:35 ChatGPT Tasks: Pulse is gone, Tasks are back

    04:31 Who has access to ChatGPT Tasks

    08:18 Claude Design June update overview

    09:14 WYSIWYG editing and Claude Code integration

    12:07 Claude Design export options and third-party integrations

    15:21 Google Vids AI Avatars upgrade

    18:15 OpenRouter Fusion multi-model synthesis

    21:54 Claude Code Artifacts for teams

    25:36 GLM 5.2 from ZAI open weights model

    29:02 OpenAI Codex Record and Replay






    Keywords:

    ChatGPT Tasks, ChatGPT Pulse, OpenAI, scheduled tasks, proactive AI agent, Claude Design, WYSIWYG editor, Claude Code, design system import, PowerPoint export, Google Vids, AI avatars, Veo 3.1, Gemini 3.1 Flash, OpenRouter Fusion, model fusion, multi-model synthesis, Claude Code Artifacts, Claude Team plan, GLM 5.2, ZAI, open weights, MIT license, mixture of experts, Codex Record and Replay, RPA, workflow automation, Artificial Analysis, Hugging Face, Canva integration



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

    Start Here ▶️

    Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com

    Also, here's a link to the entire series on a Spotify playlist.

    Show More Show Less
    37 mins
  • Ep 801: Fable 5 Drama Updates: The latest Between Trump vs. Anthropic and How it Impacts You
    Jun 18 2026

    The Fable 5 drama continues.... but what does it really mean? 🤔

    Anthropic released the most powerful AI model in the world, only for it to be pulled worldwide days later over bio and cyber concerns.

    Sound like a tough break, right?

    But, was the writing on the wall all along? Was Anthropic asking for this type of regulation? And what does the future of heavy-handed government regulation mean for your company and its AI strategy?

    We'll tackle it all, LIVE.

    Fable 5 Drama Updates: The latest Between Trump vs. Anthropic and How it Impacts You -- An Everyday AI Chat with Jordan Wilson


    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:

    1. What Are Fable V and Mythos V: Differences Explained
      2. Anthropic's Pre-IPO Timeline From April Through June
      3. The Government's Export Control Directive: What It Said
      4. Anthropic's Blog Post Response vs. David Sacks' Rebuttal
      5. Amazon CEO Andy Jassy's Role in Triggering the Crackdown
      6. China-Linked Access and the Geopolitical Stakes
      7. Day-by-Day Breakdown: Friday Through Wednesday
      8. Reactions From Alex Stamos, Yann LeCun, Jeremy Howard
      9. CyberGym Benchmark and Microsoft's MDash Comparison
      10. Safety Theater Accusations Against Anthropic


    Timestamps:

    00:00 Fable V drama overview and why it matters

    01:35 Big picture recap and episode roadmap

    03:51 Fable V vs. Mythos V explained, Project Glasswing

    05:01 Anthropic's pre-IPO hype timeline April to June

    06:31 Friday: government directive and global shutdown

    07:53 Pre-IPO context: SpaceX comparison and market stakes

    11:42 Background: February Pentagon dispute origins

    13:48 Friday export directive and Anthropic's blog post statement

    16:19 David Sacks rebuttal read in full

    21:48 G7 summit, Amazon's role, and the China connection

    26:57 Tuesday security letter and Wednesday Wired report

    30:59 Industry reactions: LeCun, Stamos, Howard, Ottenheimer

    36:44 Jordan's full hot take: Anthropic's IPO chess game

    43:09 What your company should do now





    Keywords:

    Fable V, Mythos V, Anthropic, Dario Amodei, export control directive, jailbreak, national security, Howard Lutnick, David Sacks, Andy Jassy, Project Glasswing, Anthropic IPO, US government, Trump White House, Pete Hegseth, Amazon AWS, CyberGym benchmark, Microsoft MDash, Yann LeCun, AI safety theater, frontier AI, enterprise AI strategy, fallback models, G7 summit AI, geopolitics AI


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

    Start Here ▶️

    Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com

    Also, here's a link to the entire series on a Spotify playlist.

    Show More Show Less
    50 mins
  • Ep 800: Celebrating our 800th Episode: 8 AI Truths, 10 Smart AI Moves and 10 Questions You Must ask
    Jun 17 2026

    For 799 episodes, we’ve cut it to you straight on AI.

    (Episode 800 will be no different.)

    To celebrate our 800th episode, we took a ‘State of AI’ type look across the sector and broke down three big categories:

    8 Uncomfortable AI Truths, 10 Moves Smart Teams Are Making, 10 Questions Every AI Leader Must Ask.

    Join us as we break it all down.

    Celebrating our 800th Episode: 8 AI Truths, 10 Smart AI Moves and 10 Questions You Must ask — An Everyday AI Chat with Jordan Wilson


    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:

    1. Eight Uncomfortable AI Truths for Leaders
    2. AI Model Risk: Single-Model Dependency
    3. Moats Shifting to AI Operating Layers
    4. Workflow Design vs. Prompting in AI
    5. Static Business Artifacts Becoming AI Debt
    6. Workflow Automation and AI Task Reshaping
    7. Open Weight Models as AI Resilience
    8. Agentic AI: Operational vs. Theoretical Risks
    9. Ten Smart AI Team Moves Explained
    10. Portable AI Stack Building Strategies
    11. Workflow Mapping Before AI Tool Adoption
    12. Building Role-Specific AI Skill Packs
    13. Automating Reports and Briefings with AI
    14. Converting Static Files to Living Artifacts
    15. AI Agent Deployment: Read-Only Mode Testing
    16. Routing Work by Model Value and Cost
    17. Measuring AI Output Quality, Not Activity
    18. Red Teaming AI Workflows Beyond Models
    19. Capturing AI Decision Reasoning for Business
    20. Ten Critical AI Questions for Leaders


    Timestamps:

    00:00 Episode 800: 8 AI Truths, Leader Moves

    05:40 Rising Trend of AI Super Apps

    07:37 AI series and future capabilities

    13:01 Challenges of AI Implementation

    14:33 Impact of AI on Work Processes

    19:44 Microsoft's open-source AI strategy

    23:24 Avoiding shiny new AI tools

    25:44 Using marketing skill packs

    29:38 Criticism of human-in-the-loop systems

    33:44 Managing AI and Cost Efficiency

    35:50 Evaluating AI content effectiveness

    40:15 Key questions for leaders

    42:35 Challenges in AI workflow management

    44:52 Evaluating AI costs and outputs

    48:20 The rise of AI capabilities




    Keywords:

    AI truths, AI workflow automation, generative AI, artificial intelligence, AI model risk, single model strategy, business continuity, model export control, government AI policy, operating layer, AI super apps, codex, unified memory, large language models, agentic AI, workflow design, AI prompting, scheduled tasks, AI skills, context engineering, static business artifacts, organizational debt, AI native deliverables, autonomous AI, AI job redesign


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

    Start Here ▶️

    Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com

    Also, here's a link to the entire series on a Spotify playlist.

    Show More Show Less
    51 mins
  • Ep 799: AI SuperApps: Why Every Company is Racing to Create One and What They are
    Jun 16 2026

    Ready for the AI buzzword for the rest of 2026?

    Superapps.

    No, not China’s WeChat.

    The AI Superapp era is much different, and it’s about to hit the business world hard. So, if you aren’t sure what an AI Superapp is or if your company should be using one, this is an episode you can’t miss.

    AI SuperApps: Why Every Company is Racing to Create One and What They are — An Everyday AI Chat with Jordan Wilson


    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:

    1. AI Super App Race: OpenAI, Anthropic, Microsoft
    2. What Is an AI Super App? Explained
    3. Agentic Shift: Chatbots to Autonomous Coworkers
    4. Super App Harness vs. AI Model as Moat
    5. Three-Pane Super App Interface Innovation
    6. Codex vs. Cursor vs. Claude Benchmarks
    7. Enterprise Desktop Integration and Super App Strategy
    8. Super App Security, Risks, and Best Practices


    Timestamps:

    00:00 Super app race and ChatGPT integration

    06:04 Emergence of desktop super apps

    08:41 Codex as the leading super app

    11:22 Shift to AI desktop super apps

    14:13 The AI super app's proactive updates

    17:26 Token efficiency in super apps

    21:29 Future of AI model usability

    27:03 Anthropic's role in AI development

    30:19 Google's Gemini 3.5 and Anti-Gravity Launch

    33:13 Risks and responsibilities with AI apps

    34:31 Cautionary advice on AI usage

    38:03 Introduction to AI super apps




    Keywords:

    AI super app, AI superapps, super app era, desktop super app, agentic AI, autonomous coworker, agentic context carry, agentic work future, AI execution layer, super app harness, model moat, code interpreter, Codex, OpenAI super app, Microsoft super app, GitHub Copilot, Anthropic, Claude Code, Claude Cowork, Google anti gravity, Gemini 3.5 Flash, Cursor, desktop agentic coworker, unified memory, files automations, approvals and automations, browser control, computer use, three pane interface, context engineering, prime prompt polish, token efficiency, user experience, read-write access, autonomous workflows, desktop AI companion, schedule automations, approval workflows, cross-app integration, enterprise adoption, permission controls, role based access, sandboxing, expert-driven loop, AI safety, risk management, computer automation, enterprise AI strategy, AI model integration, productivity automation

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

    Start Here ▶️

    Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com

    Also, here's a link to the entire series on a Spotify playlist.

    Show More Show Less
    40 mins