Everyday AI Podcast – An AI and ChatGPT Podcast

Salesforce's cofounder essential questioned: why should you login to Salesforce anymore?

Info hunting and juggling sound familiar? It's the downfall of almost any business leader. Where is that email from Emily? Why can't I find last quarter's budget in Drive? Oh, and Keenen needs an answer back on that research project. Oh shoot, I swear Caleb confirmed the expenses in one of these Slack channels. You're off an information rabbit hole and by the time you find that Slack message, you already forgot what Emily's email said. Hit home? Well, as AI models expand to Coworking and Scheduled agents, we have a new best friend that doesn't really have a name. (Until we randomly named it. Lolz) Scheduled Agentic Context Carry. You need to know what it is, why it's important, and how to use it. We'll dive in. 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:Scheduled Agentic Context Carry (SACC) ExplainedAI Agents: Features vs. Benefits ParadigmCo-Working and Scheduled AI Workflow ShiftPersistent Context and Memory in AI AgentsLarge Language Models' 1,000,000 Token Context WindowsWorkflow Automation: Eliminating Human-AI Duct TapeMulti-App Integration and Cross-Platform ContextThree Steps to Deploy Scheduled Agentic Context CarryChain of Thought Iteration with Scheduled AgentsAutonomous Agent Limitations and Future BridgeTimestamps:00:00 Explaining SACC and AI benefits03:43 Introducing the Start Here series06:26 Rise of AI in enterprises11:55 AI agents learning industry trends15:08 Agent capabilities in AI systems16:47 Explaining complex trends simply20:13 Streamlining tasks with AI agents24:18 Understanding AI and context windows27:43 Understanding prompt engineering basics30:51 Debugging and reviewing schedules33:08 Building automated workflows this quarterSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

You think proper AI implementation is a technical problem for your company to solve?

Even if you're 'doing AI right' you're probably lying, hurting others and getting dumb.

Would you show up to compete in a Formula One race in a bike?

Is Vibe Coding dying already? Or, is will it be as essential to the next decade of work as the browser was for the past 20 years? And how can your company balance the speed and innovation side of vibe coding without accidentally leaking data or building a product that breaks more often than it works? We'll break down the basics on this Start Here Series deep(ish) dive into Vibe Coding. The Vibe Coding Boom: Why Vibe Coding isn't Going Away and How it's Both Good and Bad -- 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:Vibe Coding Definition and Industry ImpactTop 10 Vibe Coding Platforms OverviewTerminal and Command Line Coding AgentsAI Native Code Editors BreakdownBrowser-Based App Builders ComparisonVibe Coding Adoption by Non-DevelopersSecurity Risks in Vibe Coding ApplicationsRescue Engineering and Codebase RebuildsDeveloper Trust Collapse in AI CodingStrategies for Sustainable Vibe CodingTimestamps:00:00 AI's impact on coding today05:36 AI tools transforming software development07:32 Using AI tools for content creation09:58 Comparing AI coding tools15:25 AI tools for building web apps19:07 Using Google's AI tools21:42 AI coding's rapid growth and risks25:24 Risks of autonomous agent coding28:42 AI sprawl and coding changes32:33 Natural language AI for coding34:32 Closing and subscription reminderKeywords: Vibe coding, AI coding tools, AI-generated code, agentic coding, AI software development, vibe coding platforms, prompt-to-app development, natural language software building, browser-based app builders, terminal coding agents, command line interface coding,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Half of consumer question the authenticity of what they see online.

Most people are either using too many AI tools or not enough. The real problem? Not understanding the categories and capabilities of the main AI tools that matter. And with constant updates, it's pretty much impossible to get a decent lay of the AI land. We're changing that with this episode: From Chatbots to Super Agents: The 11 AI Tool Categories Explained -- 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:11 Essential AI Tool Categories OverviewText Reasoning Assistants ExplainedMultimodal AI Operating Systems BreakdownAI Search and Deep Research ToolsVoice and Speech AI Tech TrendsAI Image Generation Diffusion ModelsAI Video Generation & World ModelsAI Music Generation Tools and PlayersDesign and Visual Content AutomationVibe Coding App Builders FunctionalityAI Coding Copilots & Local AgentsAutonomous AI Agents and BrowsersBuilding a Competitive Personal AI StackTimestamps:00:00 Overview of 11 AI tool categories06:40 AI tools and their uses07:54 Old school AI systems11:23 Being patient with AI tools16:15 How AI models find answers17:22 Future of browsing with AI23:49 How AI generates images26:50 How video generation works29:01 Creative AI and music generation33:48 AI tools and natural language34:41 Explaining vibe coding and key players38:35 Understanding autonomous AI agents42:58 AI platforms and top players45:02 Choosing the right AI tools48:04 Choosing the right AI toolsKeywords: AI tool categories, chatbots, super agents, text reasoning assistants, multimodal AI platforms, AI search, deep research, voice and speech AI, speech to text, text to speech, image generation, diffusion models, video generation, Sora, worSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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

Pop quiz: If your company's agents go off the rails, can you confidently name the human at fault in 10 seconds? Prolly not. Because lately, companies have spent more energy on going fast and breaking things instead of governance. Ready for the ironic part? People think AI governance slows you down. But, it actually speeds you up. Join us as we give you the 101 on AI Governance and the 5 AI Rules Every Company Needs to Follow. AI Governance in Plain English: 5 AI Rules Every Company Needs to follow -- An Everyday AI Chat with Jordan 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 Governance Explained in Plain EnglishWhy AI Governance Matters for CompaniesDeloitte AI Governance Statistics BreakdownChallenges in Governing Rapidly Evolving AIReal-World Lawsuits from Ungoverned AIU.S. vs. EU AI Governance Laws OverviewFive Essential AI Governance RulesShadow AI and AI Tool Inventory RisksClassifying AI Tools by Risk LevelAssigning Clear Ownership of AI SystemsWriting Playbooks Versus Policy DocumentsGovernance as an AI Scaling EngineImportance of Monthly AI Governance ReviewsTimestamps:00:00 "AI Governance Gap Insights"05:56 "AI Governance Challenges Today"09:03 "AI Governance Matters More Now"11:57 AI Governance Showdown Looms16:23 Optimizing AI Use in Organizations19:21 "Classify and Assess Risk Levels"21:32 "Clear Accountability for Crashes"25:14 "AI Use Responsibility Retained"29:42 "AI Governance: Stay Adaptive Daily"31:09 "AI Adoption Made Easy"Keywords: AI governance, AI rules, artificial intelligence governance, AI risk management, operational AI governance, agentic AI, autonomous AI, AI use cases, AI adoption, AI inventory, shadow AI, shadow AI breaches, AI sprawl, AI tools, AI transformation, AI policy, AI playbooks, risk classification, AI risk tiers, unacceptable risk, high risk AI, minimal risk AI, limited risk AI, human review in AI, AI agent crash, clear ownership in AI, cross functional committee, AI responsibility, domain expertise, AI user, data breaches, ROI on AI, AI impact tracking, AI training, scaling AI governanceSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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

Who will win the AI race in 2026?

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

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

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

AI Agents. AI Agents everywhere.

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)

Like 99% of companies are pushing AI.

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

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)

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)

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)

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 "AI Fluency Demands Urgency"Keywords:Generative AI, artificial intelligence, large language models, transformer architecture, GPT, ChatGPT, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

ChatGPT can do what now?

The next 12 months of AI leaked. Kinda. For the past 90ish days, we've been quietly collecting evidence of what's next.1,030 saved posts. 90 Podcasts. Countless conversations. Every model drop, every leak, every quiet product update the big labs hoped you'd scroll past.Then we connected the dots.What came out the other side: 19 calls on where AI goes over the next 12 months. And some of them are uncomfortable.We're walking through all 19. Bring your team's AI roadmap. You'll want to edit it.

Scheduled tasks are a secret weapon. ⚔️How secret? They can actually be hard to find and there's not a lot of info out there on how to use them. lolz. But for many, they can be the stepping stone to the fully autonomous desktop worker. Because for many users who may only be able (or comfortable) to access AI on the web, scheduled tasks provide that proactive, work-done-for-you vibe that AI agents delivered. But how does it work in Gemini, ChatGPT and Claude? And what's worth scheduling and automating? We put AI to work on this Wednesday and find out. Scheduling AI: how to easily make AI work for you in Claude, Gemini and ChatGPT -- An Everyday AI Chat with Jordan 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:Introduction to Scheduling Tasks in AIGoogle Gemini Scheduled Actions OverviewChatGPT Scheduled Tasks Features & HacksChatGPT Work Mode and Virtual BrowserClaude Scheduled Tasks vs. Routines ComparisonUsing API Triggers with Claude Code RoutinesReal-World AI Dashboard Scheduling TestDetailed Results: Gemini vs. Claude vs. ChatGPTKey Takeaways for Best Automated SchedulingPractical Use Cases for Scheduling AI TasksTimestamps:00:00 Using scheduled tasks effectively06:00 Adopting AI for productivity06:51 Discussing main AI platforms12:45 Scheduling tasks with ChatGPT14:38 Work mode and virtual browsing17:58 Creating and Editing Scheduled Tasks22:47 Using Claude's cloud routines26:59 Creating interactive stock visuals27:51 Tracking AI company stock trends31:58 Reviewing AI stock tracking tool35:35 Improving user interface and experience39:23 ChatGPT's unique scheduling features41:49 Using APIs in Claude routines44:45 Dashboard automation and triage setupKeywords: AI scheduling, scheduling AI, scheduled tasks, scheduled actions, proactive agentic workflow, agentic adoption, agent built workflow, Google Gemini, Gemini scheduled actions, Gemini connectors, Gemini canvas mode, ChatGPT scheduling, ChatGPT scheduled tasks, ChatGPT work mode, ChatGPT projects, ChatGPT memory, ChatGPT sites, agentic app actions, model selector, reasoning level, app automation, connectors and skills, OpenAI, Claude scheduling, Claude scheduled tasks, Claude routines, Claude code, Claude co work, Claude home, Claude API token, Zapier integration, trigger-based automation, custom dashboards, triage dashboard, interactive visual, stock price dashboard, news summarization, personalized automation, user interface changes, web interfaces, desktop agents, repetitive tasks automation, business process automation, workflow optimization, productivity AI tools, AI-powered research, CRM integration, KPI trackingSend 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 you're reading the headlines, you'd think AI agents have gone rogue. Spoiler alert: they haven't. They haven't even gotten started. When we think about AI agents, the conversation usually goes to increasing revenue, saving time, etc. But we don't talk about what happens when bad actors use AI agents for bad purposes, or when we deploy agents with good intentions that crash through their guardrails. Welp….. welcome to the hottest topic for the rest of 2026. Rogue AI agents. So why is this all happening now? And what should your business do about it? Tune in to find out. Rogue AI Agents: Why Breakouts are Happening More and How Companies Should Prepare - An Everyday AI Chat with Jordan 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:Rogue AI Agent Breakouts OverviewLab Sandbox vs. Real-World Agent CrashesSix Recent AI Agent Outbreak IncidentsOpenAI Model Hacking Hugging Face ExplainedAnthropic Mythos Model Sandbox EscapeControlled AI Agent Experiments and FailuresOpen Source AI Agents Threat TimelineBusiness Risk Preparation for Rogue AI AgentsMonday Morning AI Agent Safety PlaybookTimestamps:00:00 Preparing for AI agent disruption04:53 AI agent challenges comparison10:17 Discussing AI Guardrails and Access12:07 AI threats and security concerns15:37 AI alignment challenges with ethics19:04 Security vulnerabilities in AI models21:32 Agent outbreak and hacking drills25:04 OpenAI Hugging Face incident30:49 AI agents and cybersecurity risks33:30 Concerns about open AI models35:23 Future AI security challenges40:19 Managing agent access levels42:06 Preparing for AI agent oversightKeywords: rogue AI agents, AI agent crash, AI breakout, autonomous agents, open source AI models, agent containment, sandbox escape, AI guardrails, AI agent apocalypse, AI alignment, hacking drills, AI model capabilities, agent replication, AI subagents, cyber security, OpenAI, Anthropic, Mythos model, Fable model, Kimmy K3, Moonshot AI, Hugging Face breach, AI agent vulnerability, AI Safety Institute, model postmortem, agent misalignment, agent permissions, CRM exploit, code base security, business finance AI risk, agent observability, traceability, remote kill switch, agent attack, AI defender, spam-level AI attacks, API vulnerabilities, permission escalation, benchmarking, AI agent incident, agent-driven automation, agent crash prevention, agent operational oversight, cybersecurity exploitSend 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 crashing.

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

"How do you use AI every day?"

Not only does NotebookLM have a new name, it's got a new game. Gemini Notebook is agentic by default, can think and reason, and can output files now in just about any format. On this week's AI at Work on Wednesday, we show you the 7 New Updates in the new Gemini Notebook, how they work, and how you should use them. Gemini Notebook: 7 New Updates and What They Unlock -- An Everyday AI Chat with Jordan 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:Gemini Notebook Rebrand from NotebookLMSeven Major Gemini Notebook Feature UpdatesCollections for Organizing AI NotebooksAutomatic Google Drive Sync IntegrationExpanded Gemini Notebook Output FormatsAgentic Intelligence and Gemini 3.5 UpgradeSecure Cloud Computing for Each NotebookGrounded Data Responses and Web ResearchHands-On Demo: Real-World Enterprise Use CasesStudio Outputs: Infographics, Mind Maps, QuizzesMulti-Modal Asset Creation in Gemini NotebookKey Differences: NotebookLM vs. Gemini NotebookTimestamps:00:00 Gemini notebook updates released03:12 Gemini notebook new updates08:14 Notebook LM's unique features13:02 Using Gemini notebook prompts14:48 Discussing Gemini notebook features18:01 Enhanced Gemini notebook flexibility23:02 Creating quizzes with Gemini notebook26:30 Limitations of AI-generated responses29:04 Gemini notebook's new capabilities30:51 Episode wrap-up and subscription pitchKeywords: Gemini Notebook, Gemini notebooks, NotebookLM, Notebook LM, Google Gemini, AI updates, Gemini 3.5, anti gravity agentic search, Google Drive syncing, cloud computer, agentic intelligence, AI agent, secured cloud sandbox, personalized AI, output formats, PDFs, PNGs, documents, spreadsheets, PowerPoints, markdown files, charts, images, live demo, long form content, content grounding, hallucination reduction, source pane, chat pane, studio pane, multimedia assets, Nano Banana, Google's audio model, cinematic video, Google's VO model, chain of thought, skill creation, codex skill, browser control, agentic harness, pricing evidence, Luna and Terra pricing, sensitivity analysis, recommendation dashboard, AI budget calculator, mind map, infographics, quizzes, RSI maturity ladder, recursive self improvement, executive decision brief, Excel calculator, agentic workflows, web search integration, grounded AI, model architecture, frontend models, tiered architecture, adaptability to price reductions, vendor risk, human review time, latency, agentic co-worker, artifact creation, editable Excel workbook, multi-output prompting, token efficiency.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 

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

OpenAI has a new model coming soon called Astra. Was it a leak? A reddit post? Some backdoor update? Nope, OpenAI made some crazy discoveries and math then told the world that their next model family Astra did the heavy lifting. (And you thought you could just click ‘Sol' and your strategy was set for Q3?) Aside from news on what's next from OpenAI, this week saw multiple new agent outbreaks, AI competitors banning together to pace AI, Amazon doing a 180 on its AI strategy and a lot more. Don't get left behind. We'll keep you ahead. OpenAI's new Astra model, more AI agents escape sandboxes, AI leaders call for AI pacing and more. AI News That Matters for August 3 — An Everyday AI Chat with Jordan 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 Agents Escape Sandboxes IncidentAnthropic Claude Models Security BreachesAI Agents Breaking Cybersecurity GuardrailsOpenAI GPT-5.6 Price Cuts & Self-OptimizationRecursive Self-Improvement in AI ModelsAI Leaders Urge AI Development PacingUS, China, and International AI GovernanceAmazon Nova AI Models Shutdown StrategyOpenAI Astra Model Math BreakthroughNew AI Models: Fable, Astra, DeepSeek v4 FlashEnterprise AI Agents and Cybersecurity UpdatesGoogle Gemini Robotics, Music, and Agent ReleasesMeta, Microsoft, and AWS AI Infrastructure MovesOpenAI Free Frontier Tools for ResearchersBlock's Buzz Open Source AI Workspace LaunchTimestamps:00:00 OpenAI agent containment issues04:27 Anthropic data breach explanation07:28 Evaluating AI incidents and responses10:14 OpenAI slashes GPT 5.6 prices15:59 AI industry urges development pause17:45 Concerns about AI self-improvement22:36 Amazon shifts AI strategy25:04 Amazon's AI efforts discussion28:00 OpenAI's Astra and new math proofs30:36 OpenAI's new four-tier system36:14 Google's Lyria 3.5 and Block's Buzz36:48 Latest AI developments overviewKeywords: Astra model, OpenAI, AI agents, agent escape, sandbox containment, autonomous AI, Hugging Face breach, Anthropic, Claude AI, cybersecurity testing, unauthorized access, model capabilities, recursive self-improvement, GPT-5.6, price cut, Luna model, Terra model, Sol model, input tokens, output tokens, AI infrastructure optimization, self-improving models, benchmarking, SONNET-5, large language models, artificial analysis index, codex, academic research, AI oversight, industry pause, AI governance, national security, China open-source models, Frontier Labs, Amazon Nova, AGI Lab, AWS, Peter DeSantis, Peter Abbeel, media coverage, Fable model, Haiku, Opus, DeepSeek, Kimi K3, Quinn 3.8, GLM 5.2, Google Gemini 3.5, Microsoft Copilot, cybersecurity vulnerabilities, distillation, model overhang, artificial intelligence development, international AI regulation, generative AI, model benchmarking, Sora video model, El Paso data center, MCP update, MAI Cyber One Flash, Project Perception, Lyria 3.5, music generation, Buzz open source, Block, Meta AI, Chrome Gemini integration, Gemini Spark, product summary algorithms, Rufus, enterprise AI, stateless core, model scaling, advanced math problems, sphere packing, federal policy, voluntary AI commitments.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 

Google didn't ship its big model, but they shipped a TON of new useful AI you can use today. And Google wasn't the only company updating their features behind the scenes. Replit is bringin vibe designing, ChatGPT got a lot more useful on the web, and Meta is changing from chatbot to agent. We'll get you caught up quickly. Chrome adds Some Gemini Spark, Replit Design makes impact, Buzz brings AI Agent Teamwork and 7 more AI Features you Should use Today -- an Everyday AI Chat with Jordan 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:Replit Design Suite Launches With Free MobbinChatGPT Chrome Extension Adds YouTube SummarizationChatGPT Side Chat Integrates Tabs and Highlighted TextMeta AI Rolls Out Recurring Agent TasksGoogle Gemini Generates Images in Google DocsGemini AI Summarizes Comments, Edits in DocsGoogle Gemini Spark Agent Arrives in ChromeChrome Agent Uses Saved Accounts and PasswordsGoogle Lyria 3.5 Music Model ReleasedBuzz by Block Unites Team and Agent CollaborationTimestamps:00:00 Recent AI updates and developments05:01 Creating with Replit and AI models09:42 Real-time research tracking benefits10:34 Meta AI new recurring features13:35 New features of Meta AI17:53 Google Spark integrates with Chrome22:09 Google DeepMind's new music model25:25 Buzz from Block messaging tool29:42 Building a collaborative platform31:23 AI feature updates recapKeywords: Gemini Spark, Google Chrome AI integration, Google Docs AI features, AI image generation, Gemini in Docs, ChatGPT Chrome extension, YouTube video summarization, OpenAI ChatGPT update, Codex, Vibe design, Replit design suite, Mobbin integration, AI reference library, Design export automation, Project management AI, Figma competitor, Replit creative tools, Meta AI, Muse Spark 1.1, Agentic model, Recurring AI tasks, AI scheduling, Daily briefings, AI productivity tools, Google Lyria 3.5, AI music model, Flow Music, Suno, Yudio, AI generated lyrics, Vocal delivery in AI music, Licensing in AI music, Buzz collaboration platform, Block, Square, AI agent teamwork, Slack-like AI platform, Open source collaboration, Agent governance, Cryptographic identity, Agentic browser, Automated web errands, Chrome passwords integration, Google Drive data access, Multi-agent collaboration, Research automation, Enterprise AI workflow, AI productivity boost.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 

Agents are getting more powerful by the day. And most workflows, outputs and human capabilities can't keep up. Is that a problem or opportunity? Before you answer that question, though, keep this in mind. Agents are *literally* about to become 20X faster overnight. Let's unpack what that means. Faster AI Agents, Fewer Human Coworkers: The Overly Productive Future of Managing Agents? -- An Everyday AI Chat with Jordan 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:Managing Dozens of Productive AI AgentsOpenAI Cerebras: 20x Faster Agent ModelsImpact of AI Agents on Human CoworkersAgent-Driven Workflows vs. Human CollaborationIncreasing Agent Reliance and Fading MentorshipAccidental Deskilling and Compression TaxProtecting Human Judgment and Learning HandoffsExpert-Driven Loops in AI WorkflowsMonthly Rebuilding of AI Strategies and ProcessesMiddle Management Evolution in AI Native CompaniesTimestamps:00:00 Future of AI and Work Dynamics05:25 Advancements in AI and productivity tools09:51 Growing your business with AI13:52 AI productivity and collaboration shifts15:08 Improving AI processing speed18:53 Using AI agents for delegation24:46 Discussing AI-related work challenges28:16 Ensuring accountability and communication30:39 Adapting to rapid digital change32:35 Show outro and newsletter sign-upKeywords: AI agents, faster AI models, OpenAI, Cerebras chip, 20x speed increase, automated workflows, agent management, solo agent supervisor, generative AI, knowledge work automation, agent-powered productivity, parallel machine teams, inference speed, productivity acceleration, Codex, Cloud Code, Google Gemini, Cloud Cowork, Copilot, recursive self improvement, expert-driven loops, human handoffs, deskilling, mentorship loss, AI native workplace, workplace automation, transactional work, productivity roadblocks, accidental deskilling, agent bun sandwich, compression tax, human in the loop, expert collaboration, agent trust, AI decision making, domain expertise, rapid workflow rebuilding, unlearning processes, organizational adaptation, enterprise AI adoption, future of work, middle management AI, AI-powered teamwork, human-agent collaboration, manager-agent ratios, personalized agent output, multi-agent coordination, skillset sharing, intentional automation, productivity strategySend 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 

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

Every major AI lab signed the Open Weights letter defending open models. Meta, OpenAI, Google, Microsoft, Nvidia.Anthropic was the only holdout.Yesterday, its CEO, Dario Amodei, published a thoughtful defense of that decision to not fully support open weight or open source models. Here's what nobody's connecting: the money trail. Roughly 80% of Anthropic's revenue is businesses paying per token. Free Chinese open models attack that exact revenue stream weeks before Anthropic is set to go public. On today's show we break down what Dario actually said, what he said before, and why we think this was written for Washington policymakers and not for the rest of us.Anthropic Responds: Why Claude's CEO didn't sign the open model pact and the real reasons why -- An Everyday AI Chat with Jordan 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 Refuses Open Model PactDario Amodei's Public Letter AnalysisAnthropic's 80% Revenue Token ExposeChinese Open Model National Security FearsMicrosoft & Nvidia's Open Weights CoalitionRegulatory Capture and Washington InfluenceTiming Related to Executive Order DeadlineIPO Motivations Behind Anthropic's DecisionsContradictions in Anthropic's Open Model StanceImpact of Open Source on Token Business ModelTimestamps:00:00 Anthropic's stance on open models04:19 Discussing Anthropic's response to open models06:39 Understanding open weight models12:08 Future AI and cybersecurity risks15:04 Discussion on open-source AI models19:30 Discussing Anthropic's business challenges21:08 Cutting costs with open-source models26:17 Anthropic's recent stock downturn27:11 AI investment and cost efficiency shift30:14 Anthropic's stance on open source models36:32 INTROPICS IPO and regulatory discussions37:37 Wrapping up and subscribingKeywords: Anthropic, Claude, open model pact, open source AI, open weights, American AI leadership, Dario Amodei, IPO, regulatory capture, DC lawmakers, Chinese open source models, token revenue, per token business model, NVIDIA, Microsoft, Meta, OpenAI, Google, IBM, national security, AI safety, government mandates, chip controls, AI regulation, chip ban, industrial scale distillation, mandatory safety testing, inference, AI ecosystem, Opus 5, Fable 5, GPT-5, GLM 5.2, cost per task, token efficiency, model router, proprietary models, closed source AI, cybersecurity risks, Chinese cyberattacks, biological attacks, Glasswing program, open source vs proprietary, tech lobbying, Trump AI order, federal deadline, AI policy, artificial general intelligence, artificial superintelligence, AI monetization, S-1 filing, public company, venture capital, AI benchmarks, model switching, API pricing, model containment, Hugging Face incident, AI startup monopoly, safety vs business protection, market competition, AI cost reduction.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 

Over 3 hours, OpenAI, Anthropic, Google AND Microsoft all dropped new AI upgrades that are live. How you use AI in your work literally changes every day, as frontier labs are racing to roll out big quality of life updates between big model drops. How can you keep up? With our Friday Features show, where we break down the latest AI updates that are live and available to all, and we tell you how to use them and why they matter. This week did not disappoint. You don't want to miss what's now at your fingertips. JARVIS mode, anyone? ChatGPT goes Jarvis Mode, Claude can learn from you, Google unleashes spark agent and 7 more AI updates you can use today -- An Everyday AI Chat with Jordan 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 5 Model LaunchOpenAI Agent Hacks Benchmark SandboxOpenAI vs. Hugging Face Security BreachUS AI Kill Switch Legislation ProposalMicrosoft, Nvidia Defend Open Source AIAnthropic Opposes Open Weight Model CoalitionUS Accuses China's Moonshot AI of DistillationChinese Kimi K3 Model Closes Capability GapNvidia Chips Allegedly Used by Moonshot AIOpenAI Jarvis-Style Voice Assistant for CodexChatGPT Remote Desktop Voice Control ReleaseAnthropic Opus 5 Model Benchmark ResultsAnthropic Opus 5 Model User FeedbackStripe OpenRouter Acquisition TalksMeta Muse Agent and Feature UpdatesAlibaba Qwen 3.8 AI Model PreviewGoogle Gemini 3.6 Flash Model UpdateAnthropic Claude Voice Upgrades and Skill RecordingTimestamps:00:00 OpenAI agent hacks Hugging Face04:58 Discussing GPT-6's creative problem-solving07:33 Proposed AI shutdown legislation13:08 Debate over open-weight AI policies15:54 Future of consumer hardware20:01 Global competition with AI models21:21 US-China AI trade tensions26:38 Using AI for desktop tasks27:42 Discussing app screenshot capabilities32:24 Early user feedback and issues36:13 Discussing medium and low reasoning AI39:29 Gemini Spark launches for Pro usersKeywords: Claude Opus 5, Anthropic, best AI model, AI model comparison, OpenAI agent, sandbox breach, AI safety, AI kill switch bill, US government AI regulation, Hugging Face hack, GPT 5.6 Soul, rogue AI agent, autonomous AI agents, AI benchmark exploits, bipartisan AI bill, Department of Homeland Security AI shutdown, AI technical throttling, AI enterprise adoption, NVIDIA, Microsoft, open source AI, open weight models, Meta, Google, AMD, Cloudflare, GitHub, Block, IBM, Dell, Palantir, Perplexity, y Combinator, AI market resilience, Anthropic revenue model, AI token sales, consumer AI hardware, AI distillation, Chinese AI models, Moonshot AI, Kimi K3, intellectual property theft, NVIDIA chip export controls, US-China AI dispute, Amazon, AI image generation, ChatGPT work, Codex app, full duplex voice model, knowledge work automation, app shots, AI at work, Claude Voice, Gemini Spark, record a skill, cloud cowork, AI business impact, AI industry news, model weights, collaborative AI, AI productivity tools, AI cybersecurity.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 

Over 3 hours, OpenAI, Anthropic, Google AND Microsoft all dropped new AI upgrades that are live. How you use AI in your work literally changes every day, as frontier labs are racing to roll out big quality of life updates between big model drops. How can you keep up? With our Friday Features show, where we break down the latest AI updates that are live and available to all, and we tell you how to use them and why they matter. This week did not disappoint. You don't want to miss what's now at your fingertips. JARVIS mode, anyone? ChatGPT goes Jarvis Mode, Claude can learn from you, Google unleashes spark agent and 7 more AI updates you can use today -- An Everyday AI Chat with Jordan 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:ChatGPT Health Syncs Apple and Medical DataClaude Voice Mode Adds Opus and SonnetClaude Voice Mode Supports ConnectorsMicrosoft MAI Image 2.5 Pro Launch DetailsMicrosoft MAI Image Model Benchmark PreviewGoogle Gemini 3.6 Flash and Flashlight ReleaseGemini 3.6 Flash: Token Efficiency UpgradesGoogle Gemini Spark Agent for Task AutomationClaude Cowork "Record a Skill" With Voice NarrationChatGPT Voice on Desktop: Full Jarvis ModeChatGPT Voice Controls Apps via App ShotsCross-Platform AI Skills Sharing (Claude, Codex, GPT)Timestamps:00:00 Recent AI feature updates05:22 Unified health data management09:52 New voice feature explanation11:28 Launch of Microsoft's new image model16:17 Explaining the Gemini 3.5 models17:11 Developers benefiting from 3.6 Flash22:45 Introducing Gemini personal intelligence25:10 Claude Cowork's new skill feature28:32 New default feature in Claude Cowork34:22 Using AI like Iron Man35:09 Excitement for future AI advancements38:20 Wrapping up and subscribingKeywords: ChatGPT Jarvis mode, ChatGPT Health, OpenAI, Anthropic, Claude voice mode, Claude Cowork, Claude record a skill, Microsoft, MAI image 2.5 Pro, AI image generator, Google Gemini, Gemini 3.6 Flash, Gemini 3.5 Flashlight, Gemini Spark, Google AI agent, AI-powered personal assistant, AI agents, Agentic workflows, Multimodal AI, Token efficiency, Image generation, Voice-activated AI, AI-powered task automation, App shots, GPT Live, Remote browser, Computer code execution, Slack integration, GitHub integration, Notion, PowerPoint AI features, Workspace plans, Apple Health integration, Medical records AI, Health data privacy, Consumer AI, Chronic condition management, AI-powered document processing, AI for business, AI model benchmarking, AI for developers, AI economics, Personal intelligence, Automated triggers, Google Docs AI, Team collaboration 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 

OpenAI launched Presence, and it seems like no one really noticed. They should have.Presence gives companies a way to build and manage real-time AI voice and chat agents across customer service, sales, HR, and IT, which could make this one of OpenAI's most important enterprise launches yet.The technology finally looks fast, natural, and capable enough to disrupt customer service at scale. That could mean faster answers and fewer terrible phone trees.Or an endlessly patient corporate gatekeeper.We're breaking down what OpenAI actually launched, what the early proof leaves out, and whether the AI customer service takeover has finally arrived.New: OpenAI Presence. Has The AI Customer Service Takeover Finally Arrived? An Everyday AI Chat with Jordan 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 Presence Launch and Industry ResponseReal-Time AI Voice Agents for Customer ServiceOpenAI Presence vs. Competing AI Voice PlatformsGPT Live and Real-Time Model CapabilitiesEnterprise AI Integration: Guardrails and EscalationsMultichannel AI Agent Consistency for SupportSpeech-to-Speech Benchmark Rankings and AnalysisDeployment Challenges: Beta to Production ReadinessConsumer Demand for AI Customer Service SolutionsInternal and External Use Cases for AI AgentsTimestamps:00:00 OpenAI launches customer service AI05:40 AI voice advancements and competition09:28 OpenAI's edge in speech models12:15 OpenAI's AI usage in companies14:22 Discussing AI integration in companies19:05 Transitioning from demo to deployment20:46 Comparing voice agents and improvements26:28 AI's Impact on Customer Service28:07 Considering personalized messaging strategiesKeywords: OpenAI Presence, AI customer service, enterprise AI platform, AI voice agents, real time AI chat, customer support automation, sales automation, HR automation, IT automation, real world AI learning, customer service disruption, AI-powered voice models, GPT live, GPT real time 2, on demand AI agents, voice AI agents, AI chatbots, AI-driven customer experience, speech-to-speech index, multimodal AI, desktop AI assistant, voice model benchmarks, Anthropic, Codex real time voice mode, Google Gemini Live, Gemini 3.6 Flash, AI internal workflows, human approval guardrails, escalation paths, agent simulation, FDEs (forward deployed engineers), AI agent guardrails, internal data integration, business AI applications, B2C AI customer service, personalized AI messaging, AI consumer adoption, enterprise AI deployment, voice agent evaluation tools, consumer demand for AI, phone support AI, advanced AI infrastructure, Codex-powered improvement process, AI support handoff, customer service automation trends.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 

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

A U.S. vs China AI cold war is starting, and most business leaders have no idea they're already in it.China's open models just closed the gap with America's best, oftentimes at a fraction of the price.Now both governments are moving to wall off their AI within days of each other.Why? Because this was never about benchmarks. It's about power y'all. We break it all down on today's show and help you figure out the 101 of the AI war between U.S. and China. The U.S. vs China AI Cold War Is Starting: What It Means and How It Impacts You -- An Everyday AI Chat with Jordan 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:U.S.-China AI Cold War OverviewChinese AI Models Closing U.S. GapGovernment Restrictions on AI Model AccessEconomic and Geopolitical AI Power StruggleRisks for U.S. Businesses Using Chinese AIOpen Source vs. Closed Source AI DebateChinese AI Model Pricing Undercuts U.S.AI Model Distillation and U.S. Security ConcernsEnterprise AI Cost-Effectiveness BenchmarksMicrosoft Testing Chinese AI DeploymentsFuture AI Model Export Controls & StrategiesRecommendations for AI Model Sourcing and RiskTimestamps:00:00 US-China AI tensions escalate04:30 Switching to Chinese AI models08:47 US vs China in open source models11:39 China's narrative control efforts14:42 Challenges in AI model development18:25 Differentiating open source strategies23:04 AI model cost-effectiveness analysis26:31 US measures against model distillation29:38 Discussing Microsoft's use of AI models31:17 Controlling export of AI modelsKeywords: US vs China AI cold war, China AI restrictions, US AI restrictions, AI model export controls, Chinese open source AI models, AI geopolitical power, economic growth through AI, global AI standards, AI superpower race, AI model benchmarks, open weight models, enterprise AI deployment, trillion parameter AI models, Microsoft AI model testing, AI model pricing, Claude Fable 5, GPT-5.6, GLM 5.2, Kimmi K3, Alibaba Qwen 3.8, model distillation, AI cybersecurity risks, AGI leadership, military AI use cases, China narrative control, model adoption, compute power for AI, AI training data, AI export law, US national security and AI, model routing, mixture of models, cost per intelligence index, Anthropic models, cost per task AI, model capability parity, AI market adoption, cloud competition, AI architecture innovation, AI model sanctionsSend 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 (another) new open source king of AI.

Is Kimi K3 the shocker of 2026? Could be. Now, we have a new (soon to be) Open Model that's competing with Fable 5 and GPT-5.6, a feat few would have believed possible. And that was the only new and important drop this week in AI. Claude brought useful browser to the desktop, ChatGPT made a big fix to how ChatGPT Work works and Google rolled out avatars that could change content creation. Don't miss our Friday Features show, where we recap the most important AI updates and features you can use today. Claude Desktop Gets Upgrade, New Open Source Model Shocks, ChatGPT Desktop Gets Better and 7 More AI Features You Can Use Today -- An Everyday AI Chat with Jordan 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 Desktop App Browser UpgradeOpenAI ChatGPT Work Desktop App ImprovementsChatGPT Universal Search Feature LaunchSuperhuman Email Auto-Draft with GPT-4Spotify AI Voice/Text Conversation FeatureGemini Omni Personal Avatar Video CreationGoogle Vids Integration with Personal AvatarsMoonshot Kimmy K3 Open Source Model ReleaseKimmy K3 vs Fable 5 and GPT-5.6 BenchmarksTimestamps:00:00 New open source AI model release03:41 Microsoft Copilot and Claude app updates07:22 Improving chat history search12:30 Spotify's data personalization benefits14:52 Launching Google Avatar Feature18:24 Mainstream avatar video tools21:33 Improved ChatGPT project syncing24:15 Introducing Kimmy K Three Model29:30 New Kimmy k three for enterprises30:45 Friday feature show wrap-upKeywords: Claude desktop, Claude desktop upgrade, open source AI model, proprietary AI, open vs closed AI, Anthropic, built-in browser, Claude app, API docs, browser integration, permissions card, security layers, ChatGPT desktop app, OpenAI, universal search, ChatGPT search, chat history, project sync, mobile AI apps, Codex, ChatGPT work, Codex mode, Superhuman mail, auto draft, Anthropic Frontier models, GPT-3.5, Gmail integration, Outlook integration, Spotify, Talk to Spotify, personalized AI conversation, Gemini Omni, Google Gemini, personal avatars, Google Vids, video editing AI, video avatars, L&D AI, content creation with AI, Kimi k3, Moonshot AI, 2.8 trillion parameter model, 1 million token context, vision mode, benchmark leaderboards, Fable 5, GPT 5.6, Opus 4.8, open model weights, self-host AI, enterprise AI solutions, long context AI, front-end design AI, subscription AI tools, API pricing, AI benchmark, arena rankingsSend 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 

You've probably never heard of Inkling. It's the newest (and first) model from Thinking Machines Labs, and it could very well be a small snowball that picks up major momentum in today's enterprise AI landscape. If you haven't heard of Thinking Machines, they're led by Mira Murati, the former CTO at OpenAI. The big bet with Inkling? The future of AI could be using smaller models fine-tuned and optimized for smaller tasks. Will it work? Tune in live as we dive in. The Most Important AI Model You'll Probably Never Use That Just Dropped -- An Everyday AI Chat With Jordan 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:Inkling AI Model Launch OverviewThinking Machines Lab Leadership HighlightInkling's Multimodal and Agentic CapabilitiesOpen Source vs. Proprietary AI ModelsEnterprise Procurement with American AI ModelsAI Fine Tuning as a Service (Tinker)Benchmark Scores: Inkling vs. Frontier ModelsCustomization and Model Shopping for EnterprisesAI Token Costs Driving Model EfficiencyBridgewater Case Study: AI Model CustomizationFrontier Models Enabling Efficient Fine-TuningFuture Trends: Specialized Small Language ModelsTimestamps:00:00 Inkling: A new AI model release05:43 Inkling AI model details09:08 China's dominance in open source AI11:48 Launch and model updates discussed15:21 Concerns over using Chinese open-source models19:06 Training smaller AI models20:22 Using GPT for AI Model Training23:54 Predicting Rise of Small Language Models28:38 Choosing the right AI modelKeywords: Inkling, Thinking Machines Lab, Meera Muradi, former OpenAI CTO, open source AI model, American AI model, fine tuning as a service, enterprise AI, multimodal AI, agentic models, customizable AI, Tinker, enterprise distribution, model procurement, Chinese open source models, strategic reset, model overhang, capabilities gap, AI model shopping, model routing, cost-conscious enterprises, artificial intelligence index, 975 billion parameter model, text-image-audio AI, open weights, proprietary AI models, customization accessibility, small language models, AI workflows, context window, Bridgewater use case, model distillation, GPU infrastructure, API costs, token efficiency, fine-tuned models, post training, AI competitive leverage, recurring financial judgment, AI benchmarks, middle tier models, automated model evaluation, privacy and workflow mapping, economical AI models, model rental, model routing automation.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 

OpenAI's new ChatGPT Work is on fire.

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

Anthropic had a really bad week.

Of course GPT-5.6 Sol is OpenAI's best model yet. ☀️Every new model is.The real story is what OpenAI did around it.Codex got a friendlier name, a broader audience, and a much bigger job.ChatGPT Work is not just another mode.It is OpenAI merging chat, coding, browsing, files, plugins, and actions into one work super app.Today's Everyday AI breaks down what actually changed, what is mostly packaging, and why Anthropic should be paying very close attention.ChatGPT Work and GPT-5.6 Sol: What's New, 5 Overlooked Features and 1 Hot Take -- An Everyday AI Chat with Jordan 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:GPT-5.6 Soul Model Launch OverviewChatGPT Work Super App IntroductionCodex Platform Rebranding ExplainedSol, Terra, Luna Model Tier ComparisonUnified Plugins and Workflow IntegrationChatGPT Sites Expanded Access FeaturesChatGPT Work Mobile App Remote UpdatesAtlas Browser Integration in Super AppAdvanced Agentic Browser and AutomationPerformance Benchmarks: GPT-5.6 vs. Fable 5Pricing Structure and Cost EfficiencyAnthropic Competitive Landscape & Model ImpactTimestamps:00:00 OpenAI's GPT 5.6 Soul release05:40 Introducing the new GPT 5 models07:23 Combining ChatGPT and Codex10:30 Codex display options explained14:39 Features of CHAD TBT on the web18:28 Performance optimization with Sol Ultra22:54 Comparing AI model costs24:23 Why use Codex over the web27:55 New Chatchifyd and Chat GPT Features31:44 Automating podcast production tasks33:20 Codex and Chrome extension features38:17 AI model rankings and performance40:44 Market dynamics and competition impactKeywords: GPT-5.6, GPT-5.6 Soul, GPT-5.6 Terra, GPT-5.6 Luna, OpenAI, ChatGPT Work, ChatGPT super app, agentic platform, Codex, Atlas browser, Slack bot, AI model benchmarks, performance per dollar, AI execution, knowledge work automation, AI-powered desktop app, task scheduling, multi-agent orchestration, Ultra mode, plugin integration, context gathering, automated spreadsheet creation, AI dashboards, interactive web apps, team collaboration tools, cost-efficient AI, recuring tasks, mobile AI control, remote desktop AI, Chrome extension, browser automation, password management, cookies support, scheduled tasks, file access, AI competitive landscape, Anthropic, Claude Fable 5, Claude Opus, artificial analysis coding index, API pricing, model performance, AI work productivity, Slack integration, knowledge worker agent orchestrationSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

All eyes will be on GPT-5.6 Sol today. ☀️But some might argue, that won't even be the ChatGPT maker's biggest release this week. That's because we finally have conversational AI that just works in OpenAI's new GPT-Live model inside ChatGPT. And that's not the only big release this week: we had big drops from Meta, Grok, Google and more. The most important move you can make each week is to quickly know the newest features you can ACTUALLY use. And that's what our Friday Features show is all about. (Brought to you a day early, obviously.) 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:OpenAI GPT Live Voice Model LaunchOpenAI GPT Live Duplex Conversational FeaturesGPT Live Access Free and Paid TiersOpenAI Developer API: GPT Real Time 2.1 ReleaseXAI Grok 4.5 Model for Software EngineeringGrok 4.5 Token Efficiency and BenchmarksNotion Agents Standalone iPhone App ReleaseGoogle Voice AI Gemini-Powered Call SummariesByteDance SeeDream 5.0 Pro Image Model LaunchByteDance Image Model Infographic and Layer FeaturesMeta Muse Image and Video Model RolloutMeta AI Agent Image Generation Through InstagramTimestamps:00:00 New OpenAI voice model04:26 New AI voice model launch06:26 Introducing GPT Live Voice Models11:15 OpenAI's new GPT model for developers15:19 Using the Grok app19:20 Notion's AI paid features explained22:50 AI features for small businesses23:41 New image model contenders27:14 New AI image model feature31:45 Meta's AI features and updates34:05 New AI tools and updatesKeywords: GPT Live, OpenAI, real-time voice model, duplex architecture, AI voice assistant, full duplex AI, natural language AI, GPT 5.5, model release, AI updates, Slack bot, personal AI agent, AI-powered productivity, ChatGPT voice features, advanced voice mode, Gemini Live, Claude voice, web search AI, context-aware AI, conversational AI, AI voice brainstorming, hands-free AI, developer API, GPT real time 2.1, cost-efficient AI, latency reduction, tool calling, code execution, software engineering AI, Grok 4.5, XAI, multi-step agentic work, Cursor, token efficiency, AI benchmarks, Notion agents, iPhone AI app, workspace automation, Gemini-powered Google Voice, AI note-taking, ByteDance, C Dream 5.0 Pro, AI image model, infographic AI, Meta, Muse image model, video AI, Instagram AI, agentic self-refinement, multimodal AI, branded visuals, AI for social media, marketing automation, AI-driven design, AI-powered workflows, API integration, team collaboration AI.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Doomscrolling vertical videos is just brain rot, right?