Everyday AI Podcast – An AI and ChatGPT Podcast

Everyone's chasing the next big model drop.

Spent hours testing AI models? ⏳Same. Openclaw setup still broken, heartbeat still dead? ☠️Yep, been there. Perplexity's new agentic tool called Computer might've finally solved it. With no technical knowledge and a simple prompt, you can have agent swarms actually working for you and getting stuff done. Did we finally arrive in AI agent nirvana? Probably not. Because as impressive as it is, there's one big caveat that will likely stop it dead in its tracks. Perplexity Computer: What it is, How to use it and is it better than OpenClaw? — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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:Perplexity Computer Hands-On Demo & ReviewPerplexity Computer vs. OpenClaw ComparisonPerplexity Computer's Multi-Model Agentic SwarmsAdvanced Workflow Automation With Perplexity ComputerAI Model Auto-Routing and Task ChainingData Integration: Gmail, Slack, Notion, Google DrivePerplexity Computer's Price, Credits, and Value LimitationsBest Use Cases: Perplexity Computer vs. OpenClawCreating Animated Data Visualizations with PerplexityTimestamps:00:00 "Perplexity Computer Overview"03:08 AI Demos: Perplexity vs Big Four07:19 "Complex Queries with AI Tools"12:38 "Perplexity AI vs Open Claw"13:59 "AI Visual Analysis Overview"17:11 "AI Tools for Task Optimization"20:20 "Comparing Top AI Tools"24:51 "Perplexity vs. OpenClaw Comparison"27:18 Perplexity vs OpenClaw: Key Differences31:34 Daily AI Insights Workflow34:54 "Impressive AI Task Management"37:20 AI Tool Comparison and Limitations40:02 "Limited Value for High Price"Keywords: Perplexity Computer, Perplexity AI, Perplexity Computer features, Perplexity Computer vs OpenClaw, OpenClaw, AISend 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. 

Why can't most companies show their ROI on GenAI? Because their implementation is backwards.If you're using the same digital transformation playbook that you used for the social media and cloud eras, you're in trouble. On this 'Start Here Series' episode, we break down what your company is doing wrong and the 7 Step process to properly calculate ROI on your AI efforts. Measuring AI ROI: Why you're doing it wrong and the 7 Steps to fix it -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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:Proving and Measuring AI ROI in CompaniesOpenAI's GDP Benchmark: AI vs ExpertsDebunking MIT's Viral Zero ROI StudyQuantitative AI ROI Data from Business StudiesInvisible Productivity: AI Savings Pocketed by WorkersLimitations of Pre-AI Job Roles and MetricsROI Calculation: Time Saved and Cost ReductionFive Main Reasons AI ROI Isn't MeasuredSeven-Step AI ROI Measurement BlueprintImportance of Ongoing AI Model RetestingAI ROI: Training, Education, and Implementation GapsTimestamps:00:00 "AI ROI: Fixing the Debate"04:50 "AI ROI Debate is Pointless"08:03 AI Implementation Yields Positive ROI12:13 AI Reshaping Work Structures15:08 AI ROI Challenges20:11 "Baseline Assessment Before AI Implementation"23:49 "AI Operating System Discussion"24:35 "Standardized Testing for AI Models"28:26 "Rethink AI ROI Urgency"31:37 "Everyday AI: Subscribe & Explore"Keywords: measuring AI ROI, AI return on investment, generative AI ROI, GenAI ROI measurement, ROI on artificial intelligence, AI productivity, time saved with AI, cost reduction with AI, AI-driven revenue increase, AI risk avoidance, AI implementation, baseline assessment of AI, BASE framework, pre-AI baseline, digital transformation and AI, quality metrics in AI, cost per task AI, error rates AI, throughput AI, AI utilization rate, AI pilot evaluation, AI bSend 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. 

While Anthropic and the Pentagon fought, OpenAI swooped in to secure a big deal. But at what cost? And while it seemed like the entire AI news world was wrapped up in the Anthropic-Trump-OpenAI drama, the rest of big tech went nuts. Microsoft teased something agentic, Claude actually shipped it, and Perplexity dropped probably its most important product to date. This week's theme apparently: drama and agents. We'll get you caught up on all of the AI News That Matters.

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

Facts: AI started mainly as a marketing tool.

Did you sleep on these 3 NotebookLM updates?

Did China steal Anthropic's AI powers? Well, that's the shocking bombshell report that Anthropic just dropped. They accused multiple Chinese AI companies of generating more than 16 million exchanges with their models just to try and copy it. We get what you're thinking….. “So. That means cheaper open Chinese models so we all win, right.” Wrong. On this episode of Everyday AI, we break down Anthropic's shocking AI distillation accusations against Chinese firms, what they actually mean, and how they're more impactful outside of just the AI model you choose to use. You might be shocked TBH at the far-reaching implications. China Stealing AI from the U.S.? Inside Anthropic's Bombshell Allegations — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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 Accuses Chinese AI Labs of DistillationDetails on 16 Million Claude Extraction PromptsDeepSeek, Moonshot, MiniMax Named in Anthropic ReportGoogle and OpenAI Cite Similar China AI ThreatsTechnical Explanation of Model Distillation AttacksMarket Impact: MiniMax Surpasses Anthropic in TokensFinancial Consequences for U.S. AI Model ProvidersPolicy and Geopolitical AI Competition AnalysisLimitations of Current Export Controls and SafeguardsU.S. AI Dominance Threatened by Chinese DistillationTimestamps:00:00 "Foreign AI Impact on Tech"04:43 "AI Distillation and Security Threats"07:11 "MiniMax Scandal: Data Theft Allegations"10:33 "Open Router Key Marketplace"15:54 "Smart, Cheap Models Explained"19:31 "AI, IP Theft, and China's Impact"22:44 Big Tech's Data Theft Problem25:37 "Protecting U.S. Tech from Export"27:53 OpenAI Accuses DeepSeq of Misuse33:58 "AI's Global Power Struggle"35:03 "AI Models: What's Next?"Keywords: China AI theft, Anthropic bombshell report, model distillation, Chinese AI labs, DeepSeek, Moonshot AI, MiniMax, Claude capabilities, 16,000,000 prompts, 24,000 fake accounts, OSend 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 access all episodes there: StartHereSeries.com 

✅ Two major model releases from Google and Anthropic ✅ The usual AI drama ✅ Surprising AI updates no one saw coming ✅ AI leaks and reports that if true, could change how we workYeah, there was a lot to follow this week in AI. If you missed anything, we've got you covered. Google Gemini 3.1 tops charts, Claude Sonnet 4.6 impresses, New OpenAI leaks reveal their massive AI hardware plans and more -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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 Revenue Growth vs OpenAI ProjectionsOpenAI's 2030 Hardware and Revenue PlansOpenAI and Anthropic Beef at India SummitAI Global Summit: New Delhi Declaration OverviewGoogle Gemini 3.1 Pro Three-Tier Reasoning SystemGemini 3.1 Pro Benchmark and Performance ScoreClaude Sonnet 4.6 Release and Benchmark ResultsAnthropic Model Tier Comparisons: Haiku, Sonnet, OpusGoogle Pameli Photoshoot AI for Product ImagesAI Job Automation Concerns: Andrew Yang AnalysisOpenAI Consumer Hardware: Speaker, Glasses, LightWeekly AI Model Updates and Feature RolloutsTimestamps:00:00 "Anthropic vs OpenAI Revenue Race"04:00 Anthropic vs OpenAI Revenue Battle07:39 Anthropic's API Usage Decline11:03 AI Summit Sparks Debate and Criticism16:37 "Gemini 3.1 Pro Dominates Benchmarks"18:23 "Google's Edge in AI Race"20:56 "SONNET 4.6 Outperforms Opus"24:13 "Google's AI Photoshoot Tool"29:57 "AI's Impact on Jobs"31:13 AI Dominance & OpenAI Hardware35:03 AI Revenue Risks and Competition41:10 "Subscribe for AI Updates"42:08 "Subscribe to Everyday AI Updates"Keywords: Gemini 3.1, Google DeepMind, AI news, Large Language Model, OpenAI, Anthropic, Claude Sonnet 4.6, Claude Opus 4.6, ChatGPT, Sam Altman, Dario Amodei, Global AI Summit, AI Impact Summit India, AI powered hardware, Smart speaker, Smart glasses, AI chip spending, Compute infrastructure, Revenue growth,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 access all episodes there: StartHereSeries.com 

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

AI Agents. AI Agents everywhere.

Wish you had Jarvis-esque control over information?

Yeah, you prolly saw the news: OpenAI acquihired OpenClaw.

Is OpenAI now the most ..... Open AI company?

AI Slop is gonna kill the internet. Companies are gonna have agent brains. And if you travel down the same path in 2026 as you did in 2025, you're toast shorty. I spend thousands of hours each year working in and around AI. And once a year, we do our predictions and roadmap series. It's a literal cheat code to skip through the 95% of B.S and get the plan for the 5% that moves the needle. Join us for Part 2 of our AI Predictions and Roadmap series. Company AI Brains, No More Code, Slop Debt Kills internet and Agent Societies. 2026 AI Predictions and Roadmap Series Part 2 of 2 -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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 Consumer Hardware Predictions 2026Disposable Software Adoption in EnterprisesNotebookLM as Fifth Core AI PlatformAI Native Ads Maintain Premium PricingMulti-Agent Societies: Enterprise Default ArchitectureMicrosoft Copilot Usability Reset ForecastBig Four Consulting AI-Driven RestructuringVibe Coding Rebranded as Agentic OrchestrationProfessional Services Launch AI Flanker BrandsSlop Debt Crisis and LLM Data IntegrityFrontier Labs: Humans Rarely Write CodePortable Context Engines Replace Prompt LibrariesGDP-Val Benchmark Scores Surpass 80%2026 AI Roadmap: Unlearning and RebuildingTimestamps:00:00 "AI Insights and Actionable Steps"07:40 OpenAI's Lead and Growing Race11:50 "Disposable Software and AI Duct Tape"17:26 "NotebookLM: Game-Changing AI Tool"22:47 Advertising Evolution and Faster ROI29:11 Domino's Strategy & Copilot Reset35:22 "Consulting vs. AI Efficiency"42:54 AI Transparency Demands Rising48:29 "AI Slop Debt in Training Data"51:34 "AI Coding Revolution Predicted"54:57 "Portable Context Engine in AI"01:00:51 "Unlearn and Rebuild with AI"Keywords: 2026 AI predictions, AI shortcut, AI trends, AI roadmap, OpenAI, consumer hardware, disposable software, NotebookLM, core AI platform, AI native ads, premium intent pricing, multi-agent societies, enterprise AI architecture, Microsoft Copilot, CopilSend 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 access all episodes there: StartHereSeries.com 

AI developments legit change hourly.That means what business leaders can do changes daily. And drastically.As soon as you FINALLY learn a new AI technique, it's often already outdated, and approvals to use it at work can take forevvvvver.Solution: know what's coming.That's why you have me.I'm not a mind reader, but I spend almost all day every day talking with the people building AI, using it myself, and teaching others. It's literally my job.Each year I publish predictions and a roadmap because you don't have 10 hours a day to keep up.(I do.)So, today is part 1 of one of our most important shows of the year: Our AI Predictions and Roadmap series. AI Agent Crash, Software Collapses and Non-Human Economies. 2026 AI Prediction and Roadmap Series. Vol 1Let's get it.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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:2026 AI Lab-University Data PartnershipsVenture Capital Firms Shift to Venture StudiosEnterprise Demand for Grounded-Only AI ModelsGoogle AI Winning Short-Term, Building Long-TermInternal Agent-to-Agent Enterprise EconomiesSoftware Stocks and ETFs Face 2026 DrawdownMessaging as Universal AI Agent InterfaceMajor 2026 National AI Agent Crash PredictedFortune 500 Shadow AI Data BreachesTimestamps:00:00 "AI Trends and Roadmap Insights"04:39 2026 AI Roadmap Series09:28 "AI Impact on U.S. Colleges"12:11 "AI Strategy and Training Services"16:36 "Future of Venture and Software"18:45 "Three Sources for AI Models"21:56 "Google's Multimodal Model Dominance"24:15 "Google's Robotics & AI Advances"27:17 Agent Cost Attribution Systems32:56 "Messaging as AI Communication Interface"36:42 "Autonomy Crisis and Media Impact"38:13 "AI Surge and 2026 Crash"41:26 Choosing the Right AI Tools44:27 "AI Governance and Accountability Essentials"49:36 AI Disruption and Safety Warning52:27 AI Automates Competitive Analysis Tasks53:55 "AI Drives 24/7 Agent Ops"58:11 "Sharing Notes and Support"Keywords: O2026 AI predictions, AI roadmap, AI agent crash, software collapse, non-human economies, AI agent,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 access all episodes there: StartHereSeries.com 

You can develop a working Mac app in minutes.

How did prompt engineering die so quickly? ☠️And what the heck does context engineering even mean? One of the trickiest things about LLMs is they're changing daily, yet they're the engines that drive business results. But if the engine is constantly changing, then you also have to change how you drive and the roads you take. That's why we're tackling context engineering in this installment of our Start Here Series, the essential beginners guide to understanding AI basics and growing your skills. Context Engineering: How to Get Expert-Level Outputs From AI Chatbots -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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:Evolution from Prompt to Context EngineeringWhy Prompt Engineering Is Now ObsoleteDefining Context Engineering in AI ChatbotsSix-Part Framework for Context EngineeringFour Layer System for Structuring AI ContextBuilding Reusable Context Vaults and SkillsConnecting Business Data to AI ModelsTechniques to Achieve Expert-Level AI OutputsImportance of Context Windows in Large Language ModelsContext Engineering Best Practices and ScalabilityTimestamps:00:00 "Access AI Community & Tools"03:08 "Mastering Context in AI"07:23 "Smart Models Require Less Precision"12:01 "Context Engineering Beats Prompt Engineering"15:49 "AI Context: Six Key Blocks"16:47 "Building Context for Better Results"19:53 "AI: Training, Not Easy Button"25:17 "Chain of Thought Prompting Decline"29:11 "Show, Don't Tell Techniques"32:13 "Context, Reuse, and Scalable Systems"33:19 "AI Chatbots: Memory and Skills"Keywords: context engineering, AI chatbots, expert level outputs, prompt engineering, large language models, business context, AI models, custom instructions, data access, context window, prime prompt polish, reusable context vaults, context vaults, skills file, memory enabled models, ChatGPT, Claude, Google Gemini, Microsoft Copilot, connectors, apps, searchable index, business data, personalized AI, context clues, reference material, examples, procedures, evaluation rubric, chain of thought prompting, generative AI, nondeterministic behavior, show don't tell technique, few shot examples, rubric first technique, grading criteria, output quality, scalable AI systems,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 

Things got kinda catty between OpenAI and Anthropic

For better AI agents, we just need bigger models, right?

What if search becomes.... proactive?

Hundreds of millions just got an AI glow up and didn't even notice.

Like 99% of companies are pushing AI.

More than 1 million AI agents joined a no-humans-allowed social network. Fun? Or Dangerous?

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

Your company's goldmine? All those meetings and call recordings. It's the fuel that AI needs. But here's the big letdown: those call transcripts only pick up the words. Not what they mean. And the difference? Well…. That can make all the difference. But some new technology might change what's possible. Join us as we talk about it. AI Can Finally Hear What You Actually Mean. What this unlocks — An Everyday AI chat with Jordan Wilson and Modulate's Mike Pappas.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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:Modulate Velma Voice Native AI Model OverviewTone, Emotion, and Intent in Voice AIDifferentiating Text vs. True Voice UnderstandingReal-World Voice AI Use Cases in Fraud DetectionSynthetic Voice and Deepfake Detection TechniquesEnsemble Listening Model (ELM) Technology ExplainedVoice AI for Customer Service and SupportTrust, Compliance, and Observability in Voice AI AgentsCost and Scalability Challenges for Voice AIFuture Impact of Voice AI on Customer RelationshipsTimestamps:00:00 "Modulate: AI That Understands Tone"06:15 "AI Use Cases Beyond Gaming"07:13 "Detecting Abuse and Fraud"13:19 Dynamic Model Orchestration Innovation16:22 "Context-Aware AI for Conversations"17:44 "Voice AI Transforming Customer Service"22:49 AI Accountability and Compliance Challenges25:36 AI, Customers, and Brand Trust28:05 "Enhancing Communication Through AI"Keywords: Voice AI, voice native AI, voice understanding, tone detection AI, intent detection, emotional AI, prosody analysis, real-time fraud detection, synthetic voice detection, AI guardrails, deepfake detection, customer support AI, call analysis, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Human-Level Voice Intelligence, 100x Faster. Try Velma from Modulate today.  Human-Level Voice Intelligence, 100x Faster. Try Velma from Modulate today. 

Lil AI productivity secret: we've become the duct tape for AI.

Ever wish you could get an AI cheat sheet? Like.... wrap up hundreds of hours of AI insights into a neat lil package spoon fed to ya live? Oh wait! Here it is. To celebrate our 700th Episode of Everyday AI, we're dishing: - 7 Ways AI Is Reshaping How We Work- 10 AI Workflows That Actually Deliver ROI - 10 AI Skills Every Professional Needs in 2026Needless to say, you don't wanna miss this one.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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:Seven Ways AI Is Reshaping WorkAI-First Operating Systems in WorkplacesFlattening Corporate Hierarchies With AIRedesigning Operations for AI ROIAI Agents Outnumbering Human WorkersAI Meeting Transcription as Data PipelineFirst-Party Company Reasoning With AIKnowledge Workers Shift From Internet to LLMsContext Engineering vs. Prompt EngineeringTen AI Workflows Delivering Business ROITimestamps:00:00 "Modulate's AI Revolutionizes Call Analysis"06:14 "AI Reducing Middle Management"07:01 "Rethinking Middle Management Efficiency"10:51 AI, Meetings, and Work Evolution14:12 "Future Shift: Internet to AI"17:49 "10 AI Workflows Delivering ROI"21:40 "Boosting Efficiency with AI Tools"26:38 "AI Tools for Personalized Research"28:49 "AI Boosts Customer Support Efficiency"31:23 "Reducing Hallucinations in Responses"36:38 "Adaptability and AI Skepticism"37:16 "AI Reliance Risks Skill Atrophy"42:12 "Focus on Practical AI Strategies"44:15 "Context Matters in Language Models"48:48 "Embrace AI Collaboration Now"50:35 "Turning Insights into Actionable Value"Keywords: AI in the workplace, AI workflows, artificial intelligence skills, AI adoption, AI operating systems,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Human-Level Voice Intelligence, 100x Faster. Try Velma from Modulate today.  Human-Level Voice Intelligence, 100x Faster. Try Velma from Modulate today.  Human-Level Voice Intelligence, 100x Faster. Try Velma from Modulate today. 

For real this time.... Apple is gonna have real AI soon!For real for real. And if that's not enough to catch your attention, ChatGPT ads may be dropping in weeks, Anthropic might have beat Microsoft at its own game, and Google is bringing a MUCH more personalized version of AI and search to users in AI Mode. If you want to get ahead, you have to understand a blizzard of AI updates each week. That can take hours a day. Instead, tune in on Mondays as we bring you the AI News That Matters. Apple's new ChatGPT competitor and updated AI Siri, ChatGPT ads dropping in weeks, Gemini makes search more personal and more -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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 New Revenue Model and Value SharingAnthropic Launches Claude Excel Add-InAmazon Unveils Health AI for One MedicalGoogle Gemini Powers Personalized Search IntegrationOpenAI ChatGPT Ads Rollout DetailsAnthropic and OpenAI AI in Global Education PushApple AI Siri Beta with Google GeminiApple Campos Chatbot and iOS IntegrationRunway Gen 4.5 Image-to-Video UpgradeShopify Adds 4% Fee for ChatGPT CheckoutGoogle Gemini Ultra for Workspace Business AccountsMeta Superintelligence Labs Internal AI Model ReleaseTimestamps:00:00 "Modulate Revolutionizes Voice AI Analysis"06:51 Anthropic Launches Claude Excel Tool11:02 "Amazon Expands AI Health Services"12:07 AI Revolutionizing Healthcare Innovation17:29 "OpenAI Introduces Ads in ChatGPT"21:49 "AI Tools Transforming Global Education"25:59 Apple's Siri Revamp with Gemini27:23 "Siri Updates Powered by Gemini"32:22 "AI on Smartphones: What's Next"35:58 AI Advances: Agents, Images, Videos37:44 "AI Trust Layer with Modulate"Keywords: Apple's AI competitor, updated Siri, ChatGPT ads, Gemini, Google Gemini AI, personalized AI search, OpenAI revenue model,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Human-Level Voice Intelligence, 100x Faster. Try Velma from Modulate today.  Human-Level Voice Intelligence, 100x Faster. Try Velma from Modulate today. 

Spending more time fixing your AI outputs then you're saving? You're not alone. The trap? You're in operator mode. Falling for the industry status quo like upskilling and human-in-the-loop. The real winners in the AI race? Companies that have changed the human-AI relationship. How? Join us for Volume 4 of our Start Here Series as we uncover what you need to know. Human-AI Collaboration: Best practices for working alongside AI -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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:Human-AI Collaboration Best Practices 2026Shift from Operator to Orchestrator RolesHuman-in-the-Loop Limitations ExplainedExpert-Driven AI Review Loops vs. Generic OversightOrchestrating AI Agents for Business ProductivityBuilding Reusable AI Context and SkillsElevating AI Champions on TeamHuman Strengths vs. AI Strengths in WorkflowsAvoiding Augmentation Debt and Workflow PitfallsMindset Shifts for Effective AI ManagementTimestamps:00:00 "Everyday AI: Start Here"03:23 "AI Shift: Operator to Orchestrator"06:35 "Unlearn to Harness AI"11:15 "AI Surpassing Human Collaboration"15:11 Expert-Driven AI Process Loops18:10 "Expert Collaboration Boosts AI ROI"23:59 "Outsmarting AI Through Expertise"26:30 "Navigating AI Success Strategies"31:19 "Embrace AI, Elevate Your Team"32:18 "Embrace AI, Elevate Humanity"Keywords: Human-AI collaboration, AI best practices, working alongside AI, human-AI relationship, AI orchestration, AI orchestrator, shift from operator to orchestrator, agentic workflows, AI agents, digital agents, expert-driven loops, expert oversight, senior partners with AI, context engineering, AI processes, context vaults, AI skills files, company data, chain of thought review, large language models, AI-powered workflows, AI expertise, AI in business, AI productivity, AI risk management, human in the loop, upskilling, reskilling, unlearning, AI mindset shift, augmented intelligence, multi-agent systems, AI automation, organization AI strategy, context quality, AI champion, domain experts, AI team integration, competitive advantage with AI, process redesign for AI, AI-powered decision making, accountability in AI, empathy in AI, ambiguous decision-making, novel judgment.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 

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 KelleherNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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: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 IdentityTimestamps:00:00 "AI Agents: Power and Pitfalls"05:38 "Automating Identity and Access Governance"06:49 Balancing Innovation and AI Security11:57 "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 IdentitiesKeywords: 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,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 

Wait.... AI can do THAT now?

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 WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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: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 RedundancyTimestamps: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 Tools13:46 "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 Insights26:42 "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 Portability39:35 "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, 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 

Welp. That was wild.

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 WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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: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 StrategiesTimestamps:00:00 "Join Start Here Series Community"03:21 Bridging AI and Business Leaders09:35 Partnering for Generative AI Success12:26 "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, 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 

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

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 EpisodesEp 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 CommunityMore on this Episode: Episode PageJoin the discussion 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: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 AdvantageTimestamps: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 "AISend 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 

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 WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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: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 StudioTimestamps: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, 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 

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

Ban AI?

Why wasn't 2025 the year of the agents?

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

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

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

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)Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion 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: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 ProductsTimestamps: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 AI21:21 "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, 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 

Bet you didn't know you could do THAT in Google Sheets.

One of the scariest parts of AI?

A $20 billion AI deal while you were away?

ChatGPT ads are coming y'all.

You're winding down for the year?

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 PatelNewsletter: Sign up for our free daily newsletterMore on this Episode:Episode PageJoin the discussion 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: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 InsightsTimestamps:00:00 AI Adoption Challenges in Enterprise05:18 AI Adaptation: The Key Strength08:56 AI Infrastructure and Trust Challenges10:23 Building Trust and Harnessing Data13:27 Unsatiated Demand Signals Growth19:12 Proactive AI Model Safeguards22:07 AI Strategy and Business Growth26:09 Key Metrics for AI Success28:10 Guardrails for AI Vulnerabilities31:34 AI Unlocking Revolutionary DiscoveriesKeywords: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 enterprisesSend 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