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Doomscrolling vertical videos is just brain rot, right? 🥴 Not anymore.  NotebookLM just released its new AI-powered vertical video shorts tool that changes individualized learning on the go.  We know what you're thinking: I'm not a student -- why do I need short-form video?  Well, that's exactly why we're dishing our 5 best business use-cases and 5 tips to get expert results right away.  (Because this new NotebookLM feature has the potential to unlock new learning avenues for your entire org.)  Ep 888: NotebookLM's New Cinematic Shorts: How They work, 5 Tips and 5 Best Use Cases (Replay) Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: [email protected] Connect with Jordan on LinkedIn Topics Covered in This Episode: NotebookLM Cinematic Shorts Feature OverviewHow NotebookLM Vertical Videos WorkGoogle Nano Banana 2 Lite Engine DetailsFree vs. Paid NotebookLM Video LimitsCustom Prompting for Shorts Best PracticesExplainer, Cinematic, and Short Video TypesStep-by-Step Studio Workflow in NotebookLMTop 5 Use Cases for NotebookLM ShortsFive Expert Tips for Effective AI ShortsQuality, Rendering Times, and Editing Limits Timestamps: 00:00 Slack's new AI feature 05:50 Uploading and chatting with sources 08:57 Creating a 60-second AI promo 10:39 Rendering detailed video prompts 15:46 Limitations of animated shorts 16:36 Using Google AI Studio Templates 19:51 Personalizing content for specific audiences 23:08 Executive briefings on the go 28:09 Fixing broken workflows with everyday AI 30:46 AI at Work on Wednesdays Wrap-Up Keywords:  NotebookLM, Google cinematic shorts, vertical video AI, AI-powered video shorts, personalized AI video, AI learning tool, AI voice over, captions in AI video, mobile AI apps, NotebookLM tips, AI video use cases, uploading sources to AI, PDF to video AI, Google Gemini, AI context grounding, hallucination-free AI, Nano Banana 2 Lite, Gemini 3.1 Flash, video overview formats, explainer videos, cinematic AI video, AI video daily limits, free versus paid AI plans, prompt engineering, brand guidelines in AI, call-to-action in AI video, executive briefings AI, customer education video, FAQ explainer shorts, repurposing webinars, podcast to short video, marketing content AI, internal training AI, SOP to video, playbook animation, animation image model, audio overviews, slide deck generation, workflow automation AI, AI for business, AI video generation, Google AI Studio, context-based video, custom video prompts, source grounded AI content, AI onboarding videos, social media AI video, interactive learning AI. Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

OpenAI's new ChatGPT Work is on fire. 🔥 The company said they've added 2 million users in the past two days alone.  Wanna know a secret about it though?  (It's kinda not new at all. It's just Codex in Chat clothing.)  Regardless, millions of new users are realizing for the first time what it means to have an agent that can work for them 24/7. And even if you're not a technical builder, it's pretty easy to set up a swarm of agents to help with any kind of work.  We show you how.  Ep 887: ChatGPT Work: What’s New, Who It’s For and How to Use It (Replay) Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: [email protected] Connect with Jordan on LinkedIn Topics Covered in This Episode: ChatGPT Work vs Codex ComparisonOpenAI's Viral ChatGPT Work LaunchKey Differences: Desktop vs Web VersionsChatGPT Work User Growth and BacklashRemote Access and Computer Use FeaturesAgentic AI: Multiple Agents on DesktopAdvanced Workflow Automation CapabilitiesSyncing and Integration Challenges ExplainedDetailed Demo: Site and Skill CreationPower User Features: Sub-Agents & Goals Timestamps: 00:00 Chad GPT Work launch details 04:03 Confusion over ChatGPT update 09:20 Preparing AI news stories 12:32 Highlighting improved computer use 13:57 2 million new users in 48 hours 17:35 Chat syncing and organization benefits 21:17 Model's unique context handling 25:59 Discussing Beehive and audience insights 29:50 Exploring Desktop AI Features 31:22 Ending and subscription reminder Keywords:  ChatGPT Work, ChatGPT for Work, OpenAI, Codex, Codex app, Codex for beginners, Codex update, AI agent, agentic AI, desktop AI app, web AI app, ChatGPT desktop, ChatGPT web, GPT-5.6, GPT 5.6 Soul, nontechnical AI users, business deliverables, remote feature, remote mode, mobile AI syncing, AI-powered automation, sub agents, multi-agent workflows, computer use, browser use, built-in browser, technical AI tasks, non-coders, usage credits, artifacts, interactive dashboards, AI context window, auto compaction, agent MD files, custom instructions, chain of thought, plan mode, steering, queuing, looping processes, context syncing, cloud code, team plan, private AI sites, personalized AI outputs, persistent agent workspace, skill creation, manual knowledge work. Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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.  Ep 886: The U.S. vs China AI Cold War Is Starting: What It Means and How It Impacts You (Replay) Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: [email protected] Connect with Jordan on LinkedIn Topics 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 Risk Timestamps: 00:00 US-China AI tensions escalate 04:30 Switching to Chinese AI models 08:47 US vs China in open source models 11:39 China's narrative control efforts 14:42 Challenges in AI model development 18:25 Differentiating open source strategies 23:04 AI model cost-effectiveness analysis 26:31 US measures against model distillation 29:38 Discussing Microsoft's use of AI models 31:17 Controlling export of AI models Keywords:  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 sanctions Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

"How do you use AI every day?" 🤔 One of the most common questions I get. And TBH, it's been hard to give a straight answer.  Because by the time I've collected all the info, something changes. But over the last few months -- as work goes from the web to desktop -- my personal workflows have steadied and stayed consistent.  So I'm taking you inside Everyday AI and the 9 AI tools and workflows I use the most.  Hundreds of AI tools and modes a year.  Thousands of hours.  All boiled into one episode.  Ep 885: Inside Everyday AI: My 9 most Used AI Tools and Workflows (Replay)  Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: [email protected] Connect with Jordan on LinkedIn Topics Covered in This Episode: Codex AI Agent Workflow OverviewTop Nine AI Tools and WorkflowsThird Shift AI Stats AutomationAI-Powered Communication Triage AgentsCustom ChatGPT Sites for WorkflowParrot Dictation Local App BuildEpisode Planning with Gemini and CodexFrontend Design Using Claude, Stitch, GPT ImageGemini Notebook Deep Research UseCodex AI Skill Building and AutomationChatGPT Voice Remote Desktop Control Timestamps: 00:00 Everyday AI tools and workflows 05:54 Nontechnical AI user insights 07:46 Agent control and coworking insights 12:34 Automating daily metrics analysis 13:26 Analyzing Show Popularity and Trends 17:10 Using AI for email management 20:58 Design criteria for app features 25:16 Automating YouTube video summaries 28:29 Building Personal Project Apps 32:25 Interactive learning with Gemini notebook 33:14 Preparing for big shows 36:58 Experimenting with new technology 40:06 Using ChatGPT for productivity 43:05 Exploring AI Tools and Workflows Keywords:  AI tools, AI workflows, codex, ChatGPT, Claude, Gemini, desktop agents, agentic desktop, AI models, OpenAI, Anthropic, Cursor, computer use, browser control, Chrome extension, sub agents, goal mode, plan mode, Cloud Code, Cloud Code Work, benchmark stats, podcast downloads analytics, newsletter A/B testing, LinkedIn inbox automation, comms triage agent, skills automation, custom AI skills, plug-in creation, scheduled tasks, app design with AI, Claude Design, Google Stitch, GPT Image, front-end AI design, local dictation LLM, Parrot app, speech to text, YouTube transcription automation, CRM with ChatGPT sites, iMessage automation, teamwork sharing via AI, notebook study, Gemini Notebook, deep research, sentiment analysis, MCP server, Agent MD, AI-powered remote desktop, ChatGPT Voice, full duplex AI interaction, AI-powered productivity, knowledge work automation, AI project orchestration, AI-powered slide deck, automated reports, personalized apps with AI, AI-driven content planning, throwaway apps, AI-driven bullet point summaries, AI for business leaders, agent control, automated LinkedIn messaging, CastMagic, StreamYard integration, Canva automation Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Ever wish your agent would just watch you work and copy you? 👯 Oh wait, that's exactly what OpenAI released.  The new 'Record and Replay' feature in Codex allows you to simply record anything you do and turn it into a repeatable workflow for your agents.  Join us LIVE as we show you how. ⏺️ Ep 884: Codex Record and Replay: How to Teach an Agent Once Your Most Time-Consuming Workflows (Replay) Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: [email protected] Connect with Jordan on LinkedIn Topics Covered in This Episode: Codex Record and Replay Feature OverviewTransition from Prompting to DemonstrationSkill Markdown Files as Business ArtifactsCodex vs Claude Desktop Agent ComparisonWorkflow Recording and Security Best PracticesStep-by-Step Codex Record and Replay DemoVideo Understanding Capability in CodexEditing and Sharing Skills Across PlatformsAutomating Multi-App, Cross-System WorkflowsValidation, Scheduling, and Automation of Skills Timestamps: 00:00 OpenAI's record and replay feature 04:41 Preparing for screen sharing 08:56 Managing Small Tasks Efficiently 10:03 Automating top story analysis 15:43 Debating AI business strategies 18:29 Codec's video ingest feature 22:01 Practicing low stakes automation 24:57 Using skills and plugins efficiently 26:19 Using Chattopty for workflow automation Keywords:  codex record and replay, OpenAI record and replay, record and replay feature, codex workflow automation, proactive AI agents, skill.md file, skill markdown file, editable skill files, demonstration over prompting, desktop AI agents, Mac AI features, video ingestion AI, video understanding by AI, cross-platform AI workflows, AI workflow scheduling, codex plugins, codex Chrome profile, AI screen recording, reusable AI skills, skill file cross-compatibility, Claude desktop import, Google Gemini video support, AI workflow privacy, enterprise AI permissions, low stakes workflow automation, scheduled AI automations, computer use access, browser automation AI, AI handling Chrome profiles, prompt engineering replacement, automation library, validation of AI skill files, skill validator, PyYAML error handling, skill replay, Codex versus Claude, multi-app workflow automation, real business artifact AI, automation success criteria, desktop program integrations, computer task recording, mundane workflow automation, non-technical AI setup, AI scheduled worker, AI skill refinement Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

No matter your role, experience or industry, we all (mostly) waste hours a week doing the same thing: manually creating slides.  😫 Most business leaders miss the obvious: there’s dozens of AI tools and LLMs that make slides and you probably didn’t know.  Case in point: Claude, Copilot, ChatGPT and Gemini can all create slides by default that you can download or edit with natural language.  And that’s just the start.  So why are you and Deborah meeting 3 times a month about the quarterly KPI again?  Just watch this and save some time.  Ep 883: How To Make Slides with AI: Hands on Comparison With the 9 Most Popular Options (Replay) Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: [email protected] Connect with Jordan on LinkedIn Topics Covered in This Episode: AI Slide Generation Tool Comparison DemoClaude Design vs. Claude Opus Slide OutputsGamma AI Presentation Hallucinations & ErrorsGoogle Gemini Slide Creation Capabilities ExplainedGoogle Slides AI-Powered Deck Generation WorkflowNotebookLM Nano Banana Slide Deck EvaluationChatGPT Slide Creation Quality AssessmentMicrosoft Copilot and PowerPoint IntegrationCanva AI Slide Deck Hallucination IssuesBest AI Tools for Slide Deck Creation Timestamps: 00:00 AI tools for slide generation 03:12 Slide generation tools comparison 08:43 Creating AI news recap slide deck 12:35 Discussing Gamma's early entry 14:57 Google Gemini's new features 18:55 Using Google's BookLM tool 20:58 Microsoft Copilot online demo 23:56 How to access the start here series 28:54 Using Chat GPT in PowerPoint 32:05 Discussing AI design aesthetics 35:14 Reviewing main stories and updates 37:57 Evaluating AI model features 41:01 Using notebook LM with Nano Banana 43:40 Exploring chat gpt layout 46:01 Reviewing presentation slides quality 50:03 Reviewing PowerPoint design features 52:41 Discussing AI tool limitations 54:55 Show closing and subscription reminder Keywords:  AI slide generation, AI presentation tools, AI-powered slide deck, PowerPoint AI, Canva AI, Google Slides AI, Gamma AI, Claude Design, Claude Opus 4.8, Gemini 3.5, Microsoft Copilot, Copilot Pro, NotebookLM, NanoBanana, ChaptGPT PowerPoint integration, Large Language Models, AI prompts, Prompt adherence, Tool calling, Automated presentation design, AI visual design, Token usage, Multimodal models, Image generation in slides, AI spreadsheet creation, Personalized decks, Dynamic data input, Customization, Reasoning models, Agentic systems, Output quality, Skill usage in AI, Enterprise AI tools, Slide creation workflow, Editing AI presentations, Fact-checking AI slides, Web-based presentation generation, Accessibility for beginners, Error handling in AI tools, Real-time AI demos Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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.  Ep 882: Rogue AI Agents: Why Breakouts are Happening More and How Companies Should Prepare (Replay) Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: [email protected] Connect with Jordan on LinkedIn Topics 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 Playbook Timestamps: 00:00 Preparing for AI agent disruption 04:53 AI agent challenges comparison 10:17 Discussing AI Guardrails and Access 12:07 AI threats and security concerns 15:37 AI alignment challenges with ethics 19:04 Security vulnerabilities in AI models 21:32 Agent outbreak and hacking drills 25:04 OpenAI Hugging Face incident 30:49 AI agents and cybersecurity risks 33:30 Concerns about open AI models 35:23 Future AI security challenges 40:19 Managing agent access levels 42:06 Preparing for AI agent oversight Keywords:  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 exploit Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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.  Ep 881: Faster AI Agents, Fewer Human Coworkers: The Overly Productive Future of Managing Agents? (Replay)  Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: [email protected] Connect with Jordan on LinkedIn Topics 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 Companies Timestamps: 00:00 Future of AI and Work Dynamics 05:25 Advancements in AI and productivity tools 09:51 Growing your business with AI 13:52 AI productivity and collaboration shifts 15:08 Improving AI processing speed 18:53 Using AI agents for delegation 24:46 Discussing AI-related work challenges 28:16 Ensuring accountability and communication 30:39 Adapting to rapid digital change 32:35 Show outro and newsletter sign-up Keywords:  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 strategy Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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.  Ep 880: Gemini Notebook: 7 New Updates and What They Unlock (Replay)  Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: [email protected] Connect with Jordan on LinkedIn Topics 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 Notebook Timestamps: 00:00 Gemini notebook updates released 03:12 Gemini notebook new updates 08:14 Notebook LM's unique features 13:02 Using Gemini notebook prompts 14:48 Discussing Gemini notebook features 18:01 Enhanced Gemini notebook flexibility 23:02 Creating quizzes with Gemini notebook 26:30 Limitations of AI-generated responses 29:04 Gemini notebook's new capabilities 30:51 Episode wrap-up and subscription pitch Keywords:  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)

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. Ep 879: New: OpenAI Presence. Has The AI Customer Service Takeover Finally Arrived? (Replay)  Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: [email protected] Connect with Jordan on LinkedIn Topics 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 Agents Timestamps: 00:00 OpenAI launches customer service AI 05:40 AI voice advancements and competition 09:28 OpenAI's edge in speech models 12:15 OpenAI's AI usage in companies 14:22 Discussing AI integration in companies 19:05 Transitioning from demo to deployment 20:46 Comparing voice agents and improvements 26:28 AI's Impact on Customer Service 28:07 Considering personalized messaging strategies Keywords:  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)

What's coming next in AI? 🤔 While no one knows, spending time in Silicon Valley and San Francisco recently helped give me a better idea of what's around the corner.  So what should you be paying attention to?  Tune in LIVE as we discuss.  Ep 878: What’s Coming Next: 5 AI Trends, Problems and Opportunities around the Corner (Replay)  Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: [email protected] Connect with Jordan on LinkedIn Topics Covered in This Episode: Autonomous Cars vs Human Drivers AnalysisDecline of AI Generalists in WorkforceRise of AI Specialists and TranslatorsAI Homework Trend Among Office WorkersChallenges of Enterprise AI Training GapsFOMAT: Fear of Missing Agent TimeAI Agent Acceleration Problem and OpportunityImpact of Rapid AI Development on Enterprises Timestamps: 00:00 Recent trip and AI insights 05:08 Podcast takeaways from the past week 09:44 Testing autonomous vehicles on roads 13:22 Introduction to Start Here series 16:12 Importance of AI Integration Skills 20:09 Experimenting with AI at Home 21:58 Discussing AI workloads at home 26:16 Navigating AI tools and FOMO 29:05 AI labs opening up about models 30:49 AI capabilities are rapidly advancing 34:48 Join the newsletter feedback loop Keywords:  AI trends, AI problems, AI opportunities, autonomous cars, autonomous vehicles, Waymo, driverless cars, human drivers, AI generalists, AI specialists, agentic AI, acceleration of AI, AI learning curve, AI homework, enterprise AI, AI skills gap, workplace AI adoption, knowledge gap in AI, AI education, AI training, digital transformation, AI modalities, text to text AI, agentic orchestration, trust and observability teams, AI job roles, job description changes, local AI models, open source AI, PDF parsing AI, MVP demos, FOMAT,   Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

People are calling the new ChatGPT Voice their “AGI moment.” 🤖 After testing it over the past week, I understand why. It seems like the missing link between the ever-capable desktop agent and the human worker not having to type in front of said desktop all day.  It’s less like “voice mode” and more like having your own JARVIS. After testing thousands of AI tools, this has instantly become one of the most useful features I’ve ever used.  Ep 877: ChatGPT Voice is Like Jarvis: How to use the New Feature and the 7 biggest unlocks (Replay) Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: [email protected] Connect with Jordan on LinkedIn Topics Covered in This Episode: ChatGPT Voice as Jarvis-Style AI AgentChatGPT Voice vs. Old Voice ModesFull Duplex GPT Live Model ExplainedDesktop ChatGPT Voice: Codex IntegrationAdvanced ChatGPT Voice Workflow Use CasesUtilizing Connectors and MCP IntegrationsStacking and Scheduling Tasks with VoiceHands-Free Computer Control via iPhoneDurable Written Artifacts and AccountabilityOmnipresent Desktop Orb Agent FeaturesLive Demo: Real-World Voice Command TasksProductivity Gains from Voice-Driven Automation Timestamps: 00:00 Experiencing the new ChatGPT voice 04:30 AI demonstration details 08:44 Accessing GPT data sources 11:00 Differentiating Codex from ChatGPT Voice 16:08 Limitations of GPT Live integrations 19:00 Automating Tasks with Voice Commands 21:47 Using ChatGPT voice on iPhone 25:09 Using AirPods with your Mac 27:09 Starting a Chat GPT Demo 31:21 Launching the Parrot Program 35:47 Demoing JGPT's capabilities 39:18 Demonstrating multitasking techniques 40:58 Working with ChatGPT Voice Keywords:  ChatGPT Voice, Jarvis mode, AGI moments, natural language interface, hands-free AI, desktop agent, Codex, GPT Live model, full duplex voice mode, AI-powered workflow, agent management interface, voice assistant, productivity AI, computer control AI, voice commands, dynamic data access, connectors, MCP servers, project management AI, automated document creation, email triage, AI scheduling, repeatable tasks, AI skill creation, workflow automation, mobile to desktop integration, voice-based task stacking, durable artifacts, audit trail, AI voice chat, omnipresent agent, drag-and-drop orb, ChatGPT app, browser automation, programmatic control, cloud storage organization, image creation, transcribing YouTube reviews, AI learning, AI scheduling, business productivity AI, workflow augmentation, CRM integration, LinkedIn enrichment, poll result analysis, open rate comparison, Slack integration, Google Drive automation, ERP integration, finance workflows, interactive dashboards, AI trend updates, change log analysis. Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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 Wilson (Replay)  Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: [email protected] Connect with Jordan on LinkedIn Topics 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 Models Timestamps: 00:00 Inkling: A new AI model release 05:43 Inkling AI model details 09:08 China's dominance in open source AI 11:48 Launch and model updates discussed 15:21 Concerns over using Chinese open-source models 19:06 Training smaller AI models 20:22 Using GPT for AI Model Training 23:54 Predicting Rise of Small Language Models 28:38 Choosing the right AI model Keywords:  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)

Intelligence too cheap to meter -- could that actually be coming? 🤑 Maybe, and you mighta missed one of the biggest signs.   OpenAI said that its own model improved itself after release so well, that it was cutting prices to one model by 80%.  What's that mean?  Well, by definition, it's a broad example of Recursive Self Improvement, or when a model starts building better versions of itself.  And over the past 8 weeks, RSI has gone from a science fiction future to an actual, near-term reality.  So what happened and what changed? And what does it mean for your company?  We break it all down.  RSI Explained: When AI Starts Improving Itself and What It Means -- An Everyday AI Chat with Jordan Wilson (Replay) Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: [email protected] Connect with Jordan on LinkedIn Topics Covered in This Episode: OpenAI's GPT-5.6 Soul Self-ImprovementRecursive Self-Improvement (RSI) Definition & ImpactCutting AI Model Costs by 80%Timeline Acceleration for RSI AdoptionGoogle and Anthropic's RSI Research InitiativesAI Automation: Building and Training AI ModelsIndustry Call for Slowing Down AI PaceSuperintelligence, AGI, and the Singularity DiscussionPractical Implications of RSI for BusinessesSecurity and Oversight Concerns with Self-Improving AI Timestamps: 00:00 AI self-improvement and price cuts 06:33 AI startup funding and regulation concerns 09:14 AI misconceptions and public disconnect 11:29 Advancements in AI self-improvement 16:16 Development of AI Models 21:07 Sam Altman on reaching singularity 23:04 Entering the AI singularity era 26:37 Advancements in AI models 30:43 China's advancements in AI models 34:24 AI self-improvement and containment issues 37:01 Planning for AI cost reduction 40:00 AI controlling other AIs with GBD 5.6 42:46 Closing and subscription reminder Keywords:  Recursive self improvement, RSI, AI self-improvement, AI improves itself, agentic AI, token efficiency, token maxing, OpenAI, GPT-5.6 Soul, Luna model, AI cost reduction, post-training, AI automation, automated AI researcher, Anthropic, Claude Code, Codex, Google DeepMind, AGI, Artificial General Intelligence, Superintelligence, Artificial Superintelligence, ASI, Singularity, Sam Altman, AI acceleration, AI research automation, Frontier Labs, Pacing the Frontier, AWS compute deal, capital expenditures, data centers, CapEx, model distillation, small language models, AI capabilities, AI benchmarks, model variants, model efficiency, AI safety, technology acceleration, AI containment, AI security, open source AI, AI deployment, technology disruption, modular AI systems, price reduction AI, AI industry, AI timeline, human oversight AI, AI risk management, AI regulation. Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

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 Wilson (Replay) Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: [email protected] Connect with Jordan on LinkedIn Topics 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 Tasks Timestamps: 00:00 Using scheduled tasks effectively 06:00 Adopting AI for productivity 06:51 Discussing main AI platforms 12:45 Scheduling tasks with ChatGPT 14:38 Work mode and virtual browsing 17:58 Creating and Editing Scheduled Tasks 22:47 Using Claude's cloud routines 26:59 Creating interactive stock visuals 27:51 Tracking AI company stock trends 31:58 Reviewing AI stock tracking tool 35:35 Improving user interface and experience 39:23 ChatGPT's unique scheduling features 41:49 Using APIs in Claude routines 44:45 Dashboard automation and triage setup Keywords:  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 tracking Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)