Episodes

  • Ep 787: Claude Opus 4.8, New Copilot Studio Agents, ChatGPT Agent Updates and 7 Other AI Features You Can Use Today

    Ep 787: Claude Opus 4.8, New Copilot Studio Agents, ChatGPT Agent Updates and 7 Other AI Features You Can Use Today
    May 29 2026
    Sure, you didn’t miss Anthropic’s BIG Opus 4.8 drop. 🎁- But, did you know that ChatGPT completely updated how team Agents work and (literally) no one talked about it? - Or that Google unlocked a (kinda secret) new way to have NotebookLM work for you? - Or that ElevenLabs just changed how the world communicates? You don’t have hours each day to know which of the hundreds of weekly AI updates are worth your time. We do. On our weekly AI Features Friday show we break down 7 Fresh Friday Features you can’t miss. Claude Opus 4.8, New Copilot Studio Agents, ChatGPT Agent Updates and 7 Other AI Features You Can Use Today — 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 Claude Opus 4.8 Model PerformanceClaude Opus 4.8 Token Efficiency & PricingClaude 4.8 Code Dynamic Workflows OverviewChatGPT Workspace Agents Model Controls UpdateCopilot Studio Computer Using Agents LaunchMicrosoft 365 Copilot New WorkIQ UIGoogle NotebookLM Google Drive Auto-SyncEleven Labs Dubbing v2 Emotion-Preserving TranslationTimestamps:00:00 Anthropic's new AI model release04:59 Discovering Google's notebook LM AI07:00 Excited about Google audio summaries10:03 Explaining GPD model updates14:35 Introducing dynamic workflows in Claude17:25 Computer using agents in Copilot22:55 Improving Microsoft Copilot UI26:23 Impressive text-to-speech update29:55 Anthropic's adaptive thinking update32:36 Overview of Claude Opus 4.834:27 Comparing AI model versions39:10 Discussing cloud service limitationsKeywords: Claude Opus 4.8, Anthropic, AI model, AI benchmark, Claude Opus update, Claude code, Claude Code dynamic workflows, workspace agents, ChatGPT agent updates, GPT-4.5, OpenAI, Microsoft Copilot Studio, Copilot agents, agent updates, no-code agents, enterprise AI tools, Microsoft Build Conference, Google Drive sync, NotebookLM, Google Workspace, Gemini models, custom GPTs, multistep workflows, connected business tools, agentic skills, reasoning benchmarks, practical knowledge work, model effort control, parallel subagents, Copilot UI update, WorkIQ, progressive disclosure, context protocols, model thinking levels, automation scenarios, UI automation, credentials management, generative AI, Eleven Labs Dubbing v2, text-to-speech, multilingual dubbing, emotion preservation AI, content localization, video dubbing, audio to audio model, global business AI, agent orchestration, API credit usage, MCC protocol, AI cost efficiency, token usage, AI research, model selection, AI deployment, model capability comparison, model speed, fast mode, adaptive thinking, AI hallucinations, enterprise automation, agent builder, AI-powered workflow, model intelligence index, Copilot design, new Copilot features, productivity AI, software automation, web automationSend 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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    43 mins
  • Ep 786: 2026 LLM Cheat Code: 10 Essential Steps To Get the Most out of Any AI Chatbot (Start Here Series Vol 26)

    Ep 786: 2026 LLM Cheat Code: 10 Essential Steps To Get the Most out of Any AI Chatbot (Start Here Series Vol 26)
    May 28 2026
    This is the Everyday AI episode we probably shoulda done a while ago.... 👇Because as different as ChatGPT, Gemini, Claude and others actually are under the hood, they have really started to copycat each other over the past 6 months. Which means we finally have a set of concrete best practices to get the best outputs from any LLM. Join us as we boil thousands of hours of experience into a 30-ish minute crash course that you can't afford to skip out on. 2026 LLM Cheat Code: 10 Essential Steps To Get the Most out of Any AI Chatbot -- An Everyday AI Chat with Jordan Wilson (Start Here Series Vol 26)Newsletter: 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:LLM Landscape: Cookie Cutter Model Trends10 Essential Steps for AI ChatbotsChoosing the Right AI Operating SystemSelecting Optimal AI Chatbot SurfacesImportance of Paid AI Chatbot PlansUnderstanding LLM Context Window LayersContext Engineering and Prompt Best PracticesIntegrating Files, Apps, and Company DataAI Chatbot Privacy, Permissions, GovernanceTransparency, Observability, and Reasoning ArtifactsVerification, Iteration, and Workflow AutomationTimestamps:00:00 Keeping up with AI changes03:55 Introduction to AI chatbots essentials09:05 Rapid innovation in AI models13:01 Understanding early AI models14:37 Choosing an AI operating system17:08 Discussing desktop app benefits21:14 Understanding the context layer23:55 Challenges without web search integration28:55 Advancements in CRM connectors32:35 Challenges with AI governance35:13 Importance of observability in workflows37:36 Developing universal AI skillsKeywords: large language model, LLM, AI chatbot, AI operating system, ChatGPT, Claude, Gemini, Copilot, Perplexity, Grok, open models, cheat code for LLM, AI best practices, prompt engineering, context engineering, context window, context layer, reasoning models, generative AI, deterministic vs generative, web search in AI, model selection, paid AI model, free AI model risks, AI surface, desktop AI app, agentic capabilities, AI connectors, app integrations, business data privacy, permissions and governance, shadow IT, enterprise AI, observability, transparency, reasoning artifacts, workflow automation, verification loop, iteration in AI outputs, skill creation, plugin, automated workflow, agentic orchestration, company data security, expert driven loop, AI scheduling, context carry, modular AI, AI-powered work automation, personalized context, role-based access control, SaaS application integration, economic value of AI, knowledge work automation, prime prompt polish, refine queue, five five five framework, human-in-the-loop AI, knowledge cutoff, model versioning.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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    41 mins
  • Ep 785: What’s new in Gemini 3.5 Flash, Google Omni and Antigravity 2.0: Hands On With the latest from Google I/O

    Ep 785: What’s new in Gemini 3.5 Flash, Google Omni and Antigravity 2.0: Hands On With the latest from Google I/O
    May 27 2026
    You’ll need a map, compass and legend to understand all the new AI Google announced at its I/O conference last week. (They literally wrote a blog post called, "100 things we announced at I/O 2026” and most of them were AI based.) Luckily for you, we spend hours each day going through the latest in AI to cut the fluff from the real. So on today’s ‘AI Working Wednesdays’ series, we break down 3 of Google’s biggest AI updates you can use today: Google Omni, Gemini 3.5 Flash and Antigravity 2.0. What’s new and how do they work? We’ll show you the ins and outs live. Newsletter: 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:Gemini 3.5 Flash Model Hands-On DemoGemini 3.5 Flash Pricing and Token UsageBenchmarks: Gemini 3.5 Flash vs. 3.1 ProIntelligence vs. Cost in Gemini 3.5 FlashGemini 3.5 Flash for API and DevelopersGoogle Gemini Omni Flash Video Model ReviewOmni Anything-to-Anything Multimodal FeaturesGoogle Omni vs. Video Model CompetitorsAnti Gravity 2.0 Agent Desktop App OverviewAnti Gravity 2.0 Pros, Cons, and Use CasesUsage Limits in Google Gemini and Anti GravityChain of Thought Transparency in Gemini ModelsCanvas Mode Interactive Web App DemonstrationsTimestamps:00:00 Key AI updates from Google IO04:58 New Google AI updates discussed08:57 Google's anti gravity desktop use10:01 Touring Google's Anti Gravity App14:40 Testing a new AI prompt18:06 Critiquing vibe coding aesthetics21:28 Discussing Google's Gemini 3.1 Pro Model24:40 Comparing AI model performances and costs29:13 Google's advancements in video AI30:13 Future of Google's AI Technology33:58 Exploring Google Gemini features36:51 Google Gemini chain of thought feature42:02 Google Gemini's new model features44:23 River crossing puzzle gameplay48:25 Discussing Google Gemini 3.5 flash drawbacks51:10 Feedback on an AI releaseKeywords: Gemini 3.5 Flash, Google Gemini, AI updates, Google I/O 2026, Gemini Omni, Gemini Omni Flash, anti gravity 2.0, AI video model, hands-on AI demo, agentic coding, desktop AI app, benchmarking, AI model comparison, Gemini Spark, Gemini Pro 3.5, Gemini 3.1 Pro, token usage, API users, Google Workspace, always-on agent, AI cost efficiency, intelligent agents, world model, multimodal AI, generative video creation, video editing, scheduled tasks, Google Daily Brief, model usage limits, thinking steps, chain of thought, artificial analysis intelligence index, token inefficiency, cost to run AI, OpenAI GPT-5.5, Claude Sonnet, Claude Opus, open source AI models, AI-powered creativity, robotics, embodied AI, front-end AI tools, Canvas mode, conversational editing, interactive website builder, AI-powered app creation.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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    54 mins
  • Ep 784: Google’s big I/O releases, Pope’s warning on AI, Meta’s dark AI cuts and more

    Ep 784: Google’s big I/O releases, Pope’s warning on AI, Meta’s dark AI cuts and more
    May 26 2026

    The Pope said WHAT about AI? 😮

    While Pope Leo's address on AI caught recent headlines, that wasn't the only major AI news this week.

    ↳ The OpenAI vs. Musk saga has closed. For now.
    ↳ Google dropped more than 100 new AI features at its I/O conference.
    ↳ Meta's dark AI cuts have started, and they're kinda hard to believe.

    Don't spend hours each day trying to see how the ever-changing AI scene will impact you. We do that for you each week with our AI News That Matters.

    Google’s big I/O releases, Pope’s warning on AI, Meta’s dark AI cuts and more -- An Everyday A I 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. Google IO 2026 announcements roundup
    2. Gemini 3.5 Flash benchmarks and Antigravity integration
    3. Gemini Omni multimodal model debut
    4. Gemini Spark cloud personal agent and Ultra pricing changes
    5. Antigravity 2.0 and Google's new AI search experience
    6. OpenAI Codex App Shots, Goal Mode, and remote computer use
    7. Elon Musk loses OpenAI lawsuit on statute of limitations
    8. White House frontier AI executive order paused by Sacks call
    9. Meta cuts 8,000 jobs and rolls out keystroke surveillance
    10. Microsoft and EY $1 billion AI consulting partnership
    11. Pope Leo's first encyclical Magnifica Humanitas on AI risks
    12. Rapid fire AI news including Karpathy joining Anthropic


    Timestamps:

    00:00 Weekly AI news headlines preview

    02:37 Google IO and Gemini 3.5 Flash unveiled

    04:27 Gemini Omni multimodal model explained

    06:25 Gemini Spark cloud agent rolls out in beta

    07:54 Google Ultra plan cut to $200 plus new $100 tier

    11:30 OpenAI Codex App Shots and Goal Mode

    14:08 Codex remote computer use and plugin sharing

    16:05 Elon Musk loses OpenAI lawsuit

    20:28 White House AI executive order paused

    26:17 Meta cuts 8,000 jobs amid surveillance backlash

    31:35 Microsoft and EY launch AI consulting deal

    34:22 Pope Leo's first AI encyclical released

    38:47 Rapid fire AI news roundup




    Keywords:

    Google IO, Gemini 3.5 Flash, Gemini Omni, Gemini Spark, Gemini Ultra, Antigravity 2.0, SynthID, OpenAI Codex, App Shots, Goal Mode, remote computer use, Claude Code, Claude Cowork, Claude Mythos, Elon Musk OpenAI lawsuit, David Sacks, White House AI executive order, Meta layoffs, employee surveillance, forward deployed engineers, Microsoft EY partnership, Pope Leo encyclical, Magnifica Humanitas, Andrej Karpathy, AI news weekly

    autonomy.

    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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    45 mins
  • Ep 783: Google’s Gemini 3.5, Codex goes for Goals, Alexa going after NotebookLM and 7 More AI Updates You Should be Using Today

    Ep 783: Google’s Gemini 3.5, Codex goes for Goals, Alexa going after NotebookLM and 7 More AI Updates You Should be Using Today
    May 22 2026
    Google dropped like 197 new AI features this week. 😅A lot happened in AI updates tis week, with Google leading the way. At its I/O conference, Google pumped dozens of new AI features into every corner of its ecosystem. Amazon is hoping to replicate NotebookLM's success to get Alexa+ off the ground. And OpenAI's may have quietly won the week with a handful of updates that continue to make Codex the most powerful AI tool around. Don't have hours each day to know which AI features are worth using? On Fridays, we break down the release noise and bring you the 7 Friday AI Features worth paying attention to. Google’s Gemini 3.5, Codex goes for Goals, Alexa going after NotebookLM and 7 More AI Updates You Should be Using Today - An Everyday AI Chat with Jordan Wilson.Newsletter: 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:Gemini 3.5 Flash Coding & Speed BenchmarksGemini 3.5 Flash in Google Search & AppsGemini 3.5 Pro Release Timeline & RumorsChatGPT PowerPoint Integration FeaturesChatGPT Contextual Slide Generation & ReviewGemini Omni Flash Multimodal Video EditingOmni Flash vs Seeddance Video AI ComparisonCursor Composer 2.5 Coding Model ReleaseComposer 2.5 vs Opus 4.7 Price & PerformanceAmazon Alexa Plus Podcast Generation FeatureAlexa vs NotebookLM Audio Overview ComparisonGoogle's Antigravity 2.0 Coding Platform LaunchGemini CLI Deprecation & Community ResponseOpenAI Codex Goal Mode in Desktop AppCodex App Shots & Remote Computer ControlCodex Shareable Plugins for Teams & EnterpriseTimestamps:00:00 New AI updates overview05:29 Discussing Gemini 3.5 Flash benchmarks10:14 New ChatGPT features in PowerPoint13:54 Using ChatGPT for presentations15:56 Google's new multimodal video tool18:49 Video editing advancements22:35 Cursor's new coding model overview25:15 Cost efficiency in tech products28:31 Alexa Plus notebook feature31:39 Amazon's AI audio feature debate34:55 Google deprecating Gemini CLI40:31 Benefits of using codecs43:46 AI tools currently Mac-exclusive44:50 Remote computer use and sharing skillsKeywords: Gemini 3.5, Gemini 3.5 Flash, Google Gemini, AI features, AI updates, Agentic benchmarks, Coding capabilities, Multimodal understanding, Google IO, Gemini app, AI mode in search, Vertex AI, Google AI Studio, Frontier models, Gemini 3.5 Pro, MCP Atlas, Terminal Bench, Opus 4.7, GPT 5.5, ChatGPT integration, PowerPoint AI, ChatGPT add-in, Reasoning model, Context engineering, Editable PowerPoint slides, AI-powered presentations, AI critique storytelling, Connected services, ChatGPT Business, AI slide generation, Microsoft PowerPoint, Codex, Codex goal mode, OpenAI Codex, App shots, Remote computer use, Goal mode, Cursor Composer 2.5, Cursor IDE, Moonshot AI, Kimi K25, Agentic IDE, Long horizon code edits, Opus pricing, AI harness, Anthropic Claude, Anti Gravity 2.0, Gemini CLI, AGY, Command Line Interface, Desktop AI apps, Alexa Plus, Amazon AI podcast, AI audio episodes, NotebookLM, Audio overviews, AI hosts, AI for developers, Batch agentic workloads, Enterprise AI features, Shareable plugins, Plugin sharing, AI for knowledge workers, Video input video output, Gemini Omni Flash, DeepMind, SeedDance 2, YouTube Shorts, Video editing AI, Conversational editing, Synthetic training data, Token spending, AI desktop workflow, Rate limits, Harness benchmarking, Mac AI tools, Windows AI support, Enterprise AI tools, Plugin distribution, Team AI apps, Real world knowledge, Conversational autonomy.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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    48 mins
  • Ep 782: How Smart Teams Stopped Prompting AI and Started Automating Workflows

    Ep 782: How Smart Teams Stopped Prompting AI and Started Automating Workflows
    May 21 2026

    Want better AI results?

    The answer isn't to prompt better.

    (At least, not anymore.)

    As AI has changed drastically, so too must your company's strategy and implementation plan.

    Section's Bobby Isaacson joins Everyday AI to lay out the roadmap: helping guide organizations from running like hamsters on the AI treadmill to actually redefining workflows toward agentic automation.

    How Smart Teams Stopped Prompting AI and Started Automating Workflows -- An Everyday AI chat with Jordan Wilson and Section's Bobby Isaacson


    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 Success Metrics in Modern Organizations
    2. Shift from Prompting to Workflow Automation
    3. Adopting Autonomous Agents in Enterprises
    4. Importance of Context Engineering with AI
    5. Top-Down Leadership for AI Transformation
    6. Building AI Manifestos vs. AI Policies
    7. Training Challenges: Chatbots to Agents Era
    8. Closing Skill Gaps: Elite vs. General AI Users
    9. Overcoming Change Management in AI Adoption
    10. Fostering Curiosity and Experimentation in AI Teams


    Timestamps:

    00:00 Defining AI success metrics

    05:19 The shift to context engineering

    08:16 Leadership setting AI adoption example

    11:58 CEO commitment to AI integration

    14:17 Setting clear AI goals

    19:06 Discussing automation and its challenges

    20:48 Enterprise AI usage challenges

    26:00 Leveraging AI for learning

    27:45 Closing and contact information



    Keywords:

    AI workflow automation, autonomous agents, automating workflows, AI agents, enterprise AI transformation, custom GPTs, prompting AI, context engineering, AI proficiency, AI training, leadership in AI adoption, change management, AI strategy, employee enablement, AI integration, top-down AI approach, organization-wide AI, business process automation, AI-powered briefs, sales automation with AI, agent-based automation, workflow optimization, context sharing, repeatable AI workflows, AI change management strategy, AI use cases, AI in finance, ROI calculator with AI, personalized AI training, skill gap in AI, scaling AI solutions, technology adoption, digital transformation, AI challenges in enterprises, curiosity-driven learning, creative freedom in AI, AI enablement, AI policy vs manifesto, fostering innovation with AI, learning and development AI, AI champions, process innovation

    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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    28 mins
  • Ep 781: OpenAI’s Codex For Beginners Pt 2: Advanced Agentic Strategies broken down for Newbies

    Ep 781: OpenAI’s Codex For Beginners Pt 2: Advanced Agentic Strategies broken down for Newbies
    May 20 2026
    Every wish on your AI wish list? 🧞‍♂️It's already here in OpenAI's Codex. While the masses are months behind just now discovering Claude Cowork, there's a new wave taking over in Codex. Bad part? It has the word 'code' in the name, so most people assume they're not technical enough. Good news? If you can use ChatGPT, you can use Codex. (It's pretty much the same thing.) We already broke down the Codex basics in Part 1 of our AI at Work on Wednesday series, so we're doubling down on the Codex classroom in part 2. We'll tackle Skills, Plugins, Computer Use, Remote Control and more. But the big takeaway? Codex can probably already do most of the work you do in front of a computer. We'll show you how. OpenAI’s Codex For Beginners Pt 2: Advanced Agentic Strategies broken down for Newbies -- An Everyday AI Chat wit 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:OpenAI Codex Desktop Overview & BenefitsAdvanced Codex Agentic Strategies ExplainedCodex vs Claude vs Gemini: Feature BreakdownUnified Memory & Project Management in CodexCodex Plugins, Skills, and App IntegrationsScheduled Automation in OpenAI CodexComputer Use and Remote Desktop ControlChatGPT Mobile App as Codex ControllerAutomated Podcast Guest Research WorkflowReal-Time Chain-of-Thought & Task ManagementTimestamps:00:00 The holy grail of AI04:15 Introducing everyday AI host Jordan Wilson08:37 Automating tedious tasks with codex11:46 Managing guest information tools13:35 Setting up guest interviews17:21 Monitoring AI with Codex21:17 Demo of software's memory limitations22:23 Why I use ChatGPT online28:16 Explaining Gmail permissions28:45 Understanding Gmail app permissions33:55 Comparing Claude and Codex AI35:45 Using computer use software issues40:03 Using Chat GPT as a remote control43:55 Organizing digital files and projects47:51 Testing web browsing features48:51 Balancing focus with busy schedule51:55 Sharing experience with codecs appKeywords: OpenAI Codex, Codex for beginners, AI agentic strategies, Codex desktop app, Advanced Codex features, Codex automations, Skills in Codex, Plugins in Codex, Computer use with Codex, Remote control AI, Scheduled automation, Plugin integration, Google Calendar automation, Gmail integration, Google Drive with AI, Spotify analytics automation, StreamYard integration, Google Slides AI, Canva presentations, Build with apps skill, Custom AI workflows, AI-powered research, GPT-5.5, Model comparison Claude vs Codex, Gemini desktop app, AI operating layer, Workflow automation, Project triage AI, Reading chain of thought, AI tasks scheduling, Multi-platform AI agents, ChatGPT desktop, Mobile app AI control, Unified AI platform, AI memory features, Deep research automation, Custom instructions AI, Recurring automations, Desktop productivity AI, Bidirectional plugin actions, Task templates, AI project folder structure, AI agent orchestrationSend 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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    54 mins
  • Ep 780: Build, Buy, Partner, or Wait: The 4-Layer AI Stack Decision Framework for 2026 (Start Here Series, Vol 25)

    Ep 780: Build, Buy, Partner, or Wait: The 4-Layer AI Stack Decision Framework for 2026 (Start Here Series, Vol 25)
    May 19 2026
    The most expensive AI mistake of 2026 won't show up on any invoice. 💸It'll show up two years from now when you can't get your data out, your competitors are eating your lunch, or your team is stuck maintaining software no one actually wanted to build.Because in 2026, AI isn't one decision anymore.It's four.The model. The workflows. Your data. Your business software.Each layer has its own build, buy, partner, or wait choice.And most companies are making all four without realizing it.Today on Everyday AI, we're breaking down the framework that puts those choices back in your hands.Build, Buy, Partner, or Wait: The 4-Layer AI Stack Decision Framework for 2026 (Start Here Series, Vol 25) 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:Build vs. Buy vs. Partner vs. Wait in AIFour-Layer AI Stack Decision FrameworkEvolution of AI Agentic Workflows in 2026Buy vs. Build Decision ObsolescenceWhen to Build Proprietary AI SolutionsPrepackaged AI Workflows for Small BusinessesData Ownership and Integration StrategiesVendor Lock-In and Technical Debt RisksPartnering in Regulated or Critical WorkflowsWaiting for Stable AI CategoriesThree-Week AI Adoption BlueprintCapability Gap and ROI in AI InvestmentsTimestamps:00:00 Buy vs. build AI question04:19 Start here podcast series intro09:52 AI companies offering consulting services11:27 AI skills and vertical integration14:19 Evaluating AI adoption strategies18:53 Building proprietary processes20:28 Streamlining organizational workflows23:48 Importance of strategic partnerships27:34 Deciding on software investments32:26 Evaluating tech capabilities and gaps35:59 Implementing AI Workflows Step-by-Step38:09 Accessing the start here seriesKeywords: build vs buy AI, build or buy AI, build, buy, partner or wait, AI stack decision framework, four layer AI stack, AI implementation strategy, AI decision making, technical debt, vendor lock-in, agentic AI, AI agents, AI workflows, enterprise AI adoption, prepackaged agentic workflows, Microsoft Copilot, Google Gemini, OpenAI, Anthropic, domain assistants, specialized agents, model context protocol, large language models, custom AI solutions, proprietary data, workflow automation, data integration, business software AI integration, regulated workflows, audit heavy workflows, AI-powered business software, SAP autonomous enterprise, Codex, model portability, AI category stability, AI talent, agentic engineering, proprietary processes, competitive advantage, ownership map, workflow differentiation, capability gap, learning curve, risk management, OpenClaw, open source AI, modular AI skills, training gap, internal context, audit and score, governance, operational risk, partnership with AI vendors, regulated industries AI, SMB AI adoption, AI-driven business transformation, ROI, rate of innovationSend 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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    40 mins