Everyday AI Podcast – An AI and ChatGPT Podcast

Latest Episodes:

OpenAI releases GPT-5.2, Trump stops states from regulating AI, big AI rivals team up and more Dec 15, 2025

Show notes

Weird week in AI. 🤪
OpenAI partners with..... Disney? Goofy.
Meta might go ..... close source? Avocado.
And Adobe's brining Photoshop to..... ChatGPT? Print that.
Tons of movement.
We've got you covered with this week's AI News That Matters.
OpenAI releases GPT-5.2 and teams up with Disney, Trump signs order to stop states from regulating AI, big AI rivals team up and more.

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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn
Topics Covered in This Episode:

Disney Invests $1B in OpenAI Sora Partnership
Disney Grants OpenAI Access to Copyrighted Characters
Trump Executive Order Blocks State AI Laws
AI Regulation: Federal vs. State Controversy
Meta Shifts Llama Model Open Source Strategy
OpenAI CEO Teases Upcoming ChatGPT Features
Google Releases Gemini Deep Research Agent
Adobe Photoshop Integrates with ChatGPT Apps
Agentic AI Foundation Unites Top AI Rivals
OpenAI Launches GPT-5.2 Model Benchmarks
GPT-5.2 Performance: Spreadsheets & Presentations
Long-Context AI Model Retrieval Improvements
Anthropic Claude Agents and Accenture Partnership
OpenAI, Google, Anthropic Update Agent Frameworks

Timestamps:
00:00 "Everyday AI: News & Insights"

04:08 Disney's AI Integration & Legal Moves

07:15 AI Regulation: Federal vs State

10:30 "Meta Tightens Grip on AI"

14:57 "Google Dominates AI Year-End Race"

20:39 "Photoshop Meets ChatGPT Integration"

23:50 "Agentic AI Collaboration in Tech"

25:07 "Agentic AI & OpenAI GPT-5.2"

30:48 "Four Needles Benchmark Analysis"

32:07 "Improved Memory in AI Models"

35:23 "AI Tools & Industry Updates"

38:56 "Everyday AI: Subscribe & Connect"

Keywords:
GPT-5.2, OpenAI, generative AI, AI model, AI regulation, Trump executive order, federal AI law, state AI laws, Disney AI partnership, Sora video generator, Disney OpenAI investment, Star Wars AI content, Marvel AI content, copyright infringement,

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The AI Training crisis: Why companies are spending money on AI but not educating Dec 12, 2025

Show notes

AI investments? Everywhere.
AI training? ....... 🔭
Why are enterprises so quick to throw insanely large stacks of cash at any AI project or software, but neglect ongoing employee training and education?
And what should we do about it?
Join us to find out.
The AI Training crisis: Why companies are spending money on AI but not educating -- An Everyday AI Chat with Jordan Wilson and Lucid Software's Dan Lawyer

The AI Training Crisis in Enterprises
Company Investment in AI vs. Employee Education
Cultural Shifts Required for AI Adoption
Importance of Domain-Specific AI Training
Grounding Large Language Models With Company Data
Process and Workflow Documentation for AI Success
Rapid Experimentation With New AI Models
Measuring ROI and Outcomes of AI Training
Creating Cultural Moments for AI Learning
Preparing Employees for Fast AI Technology Changes

Timestamps:
00:00 AI Training Crisis in Business

05:32 Generative AI and Family History

07:55 Grounding AI for Effective Use

11:49 "AI as a Co-Collaborator"

16:38 "Grounding AI for Better Trust"

19:29 "AI Needs Procedural Knowledge"

22:33 "Measuring AI's Value and Speed"

23:49 Rapid Experimentation and Continuous Learning

26:58 "Maximizing AI Through Education"

Keywords:
AI training crisis, AI education gap, enterprise AI adoption, AI in business, employee AI training, workplace AI integration, generative AI, large language models, AI-powered workflow, cultural shift with AI, organizational AI culture, domain specific AI training, AI-driven process documentation, AI experimentation, AI safety, securing company data with AI, best practices for AI implementation, nondeterministic AI, grounding AI in company data, procedural knowledge for AI, AI as coworker, AI collaboration, AI trust building, AI productivity, training AI like employees, measuring AI ROI, quantifiable AI outcomes, AI-powered decision making,

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From Automation to Agents: Why Weak Data Makes AI Guess Dec 11, 2025

Show notes

Algorithms and automations have been buds for a decade plus. 🤝
But the old 'smart' automations were rigid. If one thing was wrong, the automation would bust.
But with LLM-powered agents? Those automations are different. If something's wrong, the agent might just..... guess. 😳
Weak data = weaker outcomes.
Here's how to fix it when agents come first and they're gonna finish the job, whether the data is strong or not.
From Automation to Agents: Why Weak Data Makes AI Guess -- An Everyday AI chat with Jordan Wilson and Ed Macosky

Automation vs. Agentic Workflows: Key Differences
AI Agents: Data Quality and Output Risks
Agentification Trends in Enterprise Automation
Pros and Cons: Converting Automations to Agents
AI Agents Impact on Business Processes
Importance of Data Governance in AI Agents
AI Agent Control Towers and Observability
Measuring ROI: AI Agents and Data Investments

Timestamps:
00:00 "Trusting AI for Business Growth"

06:31 "Agent-Based Automation: Pros & Cons"

08:29 "AI Agents Simplify Workflow Management"

10:40 Expense Report Workflow Frustrations

15:05 AI Governance and Data Integrity

19:04 "Governance and Multi-Agent Data Strategy"

22:50 "AI ROI and Data Focus"

26:01 AI Studio: Create Apps Faster

Keywords:
AI agents, Agentification, Agentic workflows, Automation, AI-powered automation, Business process automation, Deterministic workflows, Non-deterministic workflows, Data quality, Data governance, Data management, Integration platforms, Boomi, Chief Product and Technology Officer, Large language models, Generative AI, Rigid workflows, Flexible workflows, Conversational agents, Expense report automation, Policy adaptation, AI decision-making, Human-in-the-loop, AI observability, AI traceability, Multi-agent orchestration, Ecosystem synchronization, Agent control tower, AI governance tools,

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Claude Skills: How to build Custom Agentic Abilities for beginners Dec 10, 2025

Show notes

Capabilities? Through the roof?
Usage? Ground floor.
Claude Agent Skills might be one of the most useful features of any front-end LLM.
Yet....it's crickets in terms of chat around it.
For this 'AI at Work on Wednesday' episode, we're breaking it down for beginners and will have you spinning up your own Claude Agent Skills in no time.
Claude Skills: How to build Custom Agentic Abilities for beginners -- An Everyday AI Chat with Jordan Wilson

Claude Skills Agentic Features Overview
Differences: Claude Skills vs. GPTs vs. GEMS
Modular Agentic Workflow File Structure
Step-by-Step Guide: Building Claude Skills
Claude Skills YAML/Markdown Setup Process
Testing and Validating Custom Claude Skills
Advanced Capabilities: Executable Code & Sub-Agents
Common Troubleshooting for Claude Skills Creation

Timestamps:
00:00 "Claude Skill Library Unveiled"

06:27 "Claude Skills Explained"

07:29 Custom GPTs and Gems Explained

11:18 Claude Skills vs Projects

17:31 "Refining Skill Triggers Effectively"

20:17 "Beginner Cloud Skills Best Practices"

23:39 "Preferring GPT and Memory Tools"

25:54 "Saving Skill File Properly"

28:09 Creating Skills on Claude

33:43 "Creating AI News Searcher"

35:36 Claude Skills Now Available

37:39 "Optimizing Claude for Knowledge Tasks"

41:05 "Skill Builder Library Access"

Keywords:
Claude skills, Claude agent skills, custom agentic abilities, large language model, agentic workflows, specialized tasks, coding capabilities, file creation, executable code, skills library, skill builder, skill creator, markdown file, skill.md, folder structure, YAML front matter, composable skills, modular instructions, automation, prompt engineering, skill triggers, skill testing, advanced features, API skill versioning, governance and efficiency,

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OpenAI's Code Red: Is Google taking ChatGPT's Crown? Dec 09, 2025

Show notes

OpenAI is (reportedly) in full panic mode. 🚨
All hands on deck, Code Red status.
So.... what happened?
How did OpenAI go from defining the AI category to getting beat by competitors they once trounced?
And, is it too late for them to turn it around? Or will Google permanently take the AI crown?
Tune in... we've got hot takes.
OpenAI's Code Red: Is Google taking ChatGPT's Crown? An Everyday AI Chat with Jordan Wilson

OpenAI "Code Red" Panic Explained
Google Gemini 3 vs ChatGPT Benchmarks
November AI Model Release Impact
Anthropic Claude Opus 4.5 Coding Leader
OpenAI Financial Strain & Revenue Analysis
Market Share Shift: ChatGPT vs Gemini
ChatGPT Default Model Quality Critique
Enterprise AI Adoption: OpenAI vs Anthropic
OpenAI Ads Controversy and User Backlash
App Stickiness and Query Length Data

Timestamps:
00:00 "Everyday AI for Business Leaders"

07:23 AI Leadership Questioned

09:28 "Before and After ChatGPT"

12:36 "OpenAI's Shift and Competition"

15:58 OpenAI's Massive Infrastructure Growth

21:13 "Google Surges, Challenges OpenAI"

23:53 "Cloud Ovis 4.5 Review"

28:45 OpenAI Criticized Over Ad Controversy

31:36 "ChatGPT's Default Model Critique"

33:58 "Optimize Your Chat Model Usage"

35:49 "Choosing GPT-5 Over Gemini 3"

40:20 AI Narrative Overblown in Tech

43:57 "AI Tools and Code Red"

45:24 "Build Apps with AI Studio"

Keywords:
OpenAI, code red, ChatGPT, Google Gemini, Gemini 3, AI race, large language models, Anthropic, Claude Opus 4.5, AI leadership, market share, AI benchmarks, LLM development, GPT-5.1, thinking models, default chat model, model performance, user growth, AI chatbots, reasoning multimodality, enterprise AI adoption, CapEx spend, custom AI chips, Broadcom, Nvidia,

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OpenAI’s Code Red, Google’s Deep new model, Perplexity facing big lawsuit and more Dec 08, 2025

Show notes

OpenAI has launched a code red. 🚨
After increasing pressure from Google, OpenAI is reportedly in ‘all hands on deck’ mode to reclaim the LLM crown.
Meanwhile, Google quietly released an EVEN MORE powerful version of Gemini 3 that hardly no one noticed.
And Perplexity? They got hit with a massive lawsuit.
You take one week off of AI, and you could be months behind if you’re in a fast-moving industry. Don’t sweat… we do the heavy lifting for you.
Join us for our weekly ‘AI News That Matters’ segment, your weekly shortcut to save you hours on the AI happenings.
OpenAI’s Code Red, Google’s Deep new model, Perplexity facing big lawsuit and more — An Everyday AI Chat with Jordan Wilson

Google Gemini 3 DeepThink Model Launch
Perplexity Lawsuit by New York Times, Tribune
Amazon AWS Nova 2 AI Model Family
Accenture Deploys ChatGPT Enterprise Partnership
Anthropic Prepares for $300B IPO
Google Workspace Studio No-Code AI Agents
Google and Replit AI Coding Partnership
OpenAI Code Red: GPT-5.2 Model Release Rumors

Timestamps:
00:00 "Gemini 3 Deep Think Rollout"

05:31 "Perplexity Sued Over Copyright Violations"

09:04 "Amazon's NovaForge Enterprise AI Service"

10:56 Accenture Adopts ChatGPT Enterprise

15:59 OpenAI vs. Anthropic: Profitability Debate

17:46 "Google Workspace Studio Automation"

22:07 "OpenAI's Code Red Response"

23:18 "OpenAI Shifts Focus Amid Competition"

26:44 "Google's Big November Wins"

31:06 "2025 AI Deals & Outlook"

Keywords:
Gemini 3, Gemini 3 Deep Think, Google AI, powerful reasoning model, parallel reasoning, large language models, GPT QA Diamond, Arc AGI 2, code execution, AI Ultra subscribers, advanced benchmarks, complex math problems, AI outages, OpenAI, code red, GBT 5.1 Pro, ChatGPT 5.1 Pro, Anthropic, Claude 4.5, consulting adoption of GenAI, Accenture ChatGPT enterprise, enterprise generative AI, copyright lawsuit, Perplexity AI, New York Times lawsuit, Chicago Tribune lawsuit, news content copyright, scraping paywalls, AWS re:Invent, Amazon AI models, Nova 2 family, Nova 2 Lite, Nova 2 Pro, Nova 2 Sonic, Nova 2 Omni, multimodal reasoning, NovaForge, Novellas, customized AI models, enterprise cloud AI, AI consulting trends, outcomes-based consulting, Workspace Studio

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Aligning AI With Climate And Business Goals Dec 05, 2025

Show notes

How can you scale AI at the enterprise, yet still hit your climate goals?
And can heavy AI usage and an enterprise's ESG mission co-exist?
Ashutosh Ahuja lays it out for us.
Aligning AI With Climate And Business Goals -- An Everyday AI Chat with Jordan Wilson and Ashutosh Ahuja

AI's Environmental Impact and Climate Concerns
Companies Aligning AI with ESG Goals
AI Adoption Versus Carbon Footprint Tradeoffs
Metrics for Measuring AI's Environmental Impact
Business Efficiency Gains from AI Adoption
Real-World Examples: AI Offsetting Carbon Footprint
Industry Opportunities for Sustainable AI Integration
Future Trends: Efficient AI Models and Edge Computing

Timestamps:
00:00 Everyday AI Podcast & Newsletter

05:52 Balancing Progress and Legacy

07:03 "Should Companies Limit AI Usage?"

12:02 "Sentiment Analysis for Business Growth"

17:07 "Energy Efficiency Impacts ESG Metrics"

19:40 Robots, Energy, and AI Opportunity

21:41 AI Efficiency and Climate Balance

25:04 "Trust Instincts in Investments"

Keywords:
AI and climate, climate goals, aligning AI with ESG, environmental impact of AI, carbon footprint, energy use in AI data centers, water cooling for GPUs, sustainable business practices, enterprise AI strategy, ESG compliance, climate pledges, AI adoption in business, carbon footprint metrics, machine learning for sustainability, predictive analytics, ethical AI, green AI solutions, renewable energy sector, AI in waste management, camera vision for waste sorting, delivery robots, edge AI, small business AI implementation, AI efficiency, sentiment analysis, customer patterns, predictive maintenance, IoT data, auto scaling, cloud computing, resource optimization, SEC filings, brand sentiment tracking, LLM energy consumption, environmental considerations for AI, future of AI in climate action, business efficiency, human in the loop, philanthropic business practices, sustainable architecture, large language models and climate, tech industry climate initiatives, AI-powered resource savings, operational sustainability.

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The Future of AI Agents: Will there be more Agents than humans? Dec 04, 2025

Show notes

You're probably using AI agents without even knowing it. 🤯
Crazier yet?
It's very possible that there may already be more AI agent instances than humans in the world.
Was that a bold claim we made a year ago? Yeah.
But did Cloudflare's Tech Lead of AI Agents agree? Also, yeah. (See, we're not that crazy.)
So, what do you need to know about the future of AI agents?
Well, we DO KNOW this is one episode you don't wanna miss.
The Future of AI Agents: Will there be more Agents than humans? -- An Everyday AI Chat with Jordan Wilson and Cloudflare's Sunil Pai

Prediction: More AI Agents Than Humans
Cloudflare's AI Agent Platform Overview
Defining Modern AI Agents and Capabilities
AI Agent Builders: Low Code and No Code
AI Agents in Business Process Automation
Scaling AI Agents: Observability and Safeguards
Human Role Shift in Agentic Workplaces
Future Impact of AI Agents on Daily Life

Timestamps:
00:00 "AI Agents: A 2025 Reflection"

04:09 "Cloudflare's Evolution: Powering Agentic Apps"

06:52 "AI Agents Revolutionizing Accessibility"

13:05 "AI Achieving Real-World Interaction"

16:01 Software Evolution and Global Impact

19:28 "Commodifying Tech for Regular Users"

22:47 "Rethinking Trust in Software"

26:08 AI Revolution in Healthcare

28:42 "Embrace and Learn Emerging Tech"

31:16 "Everyday AI: Subscribe & Explore"

Keywords:
AI agents, future of AI agents, agentic technology, AI agent definition, AI agent capabilities, enterprise AI agents, agentic applications, Cloudflare AI, AI agent platform, AI agent builder, no code agent builder, low code agent builder, agent deployment, agentic systems, agentic loop, chatGPT agents, monthly active users, proactive AI agents, business process automation, digital HR, observability, safeguards for AI agents, inputs and outputs for AI agents, scalable agent infrastructure, network infrastructure, durable objects, WebSocket support, planetary deployment, Slack bot integration, Gmail integration, scheduling capabilities, personalized AI assistant, Salesforce integration, agentic effort, trust in AI systems, accessibility of AI agents, agentic safeguards, business impact of AI agents, commodification of agent technology, safe agent rollouts, proactive business leaders,

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Beginner’s Guide: How to visualize data with AI in ChatGPT, Gemini and Claude Dec 03, 2025

Show notes

FYI -- Today's LinkedIn livestream broke, so you can access the custom instructions here.

This is Vibe Coding 001.
Have you ever wanted to build your own software or apps that can just kinda do your work for you inside of the LLM you use but don't know where to start?
Start here.
We're giving it all away and making it as simple as possible, while also hopefully challenging how you think about work.
Join us.
Beginner’s Guide: How to visualize data with AI in ChatGPT, Gemini and Claude -- An Everyday AI Chat with Jordan Wilson

Combining Multiple Features in Large Language Models
Visualizing Data in ChatGPT, Gemini, and Claude
Creating Custom GPTs, Gems, and Projects
Uploading Files for Automated Data Dashboards
Comparing ChatGPT Canvas, Gemini Canvas, and Claude Artifacts
Using Agentic Capabilities for Problem Solving
Visualizing Meeting Transcripts and Unstructured Data
One-Shot Mini App Creation with AI

Timestamps:
00:00 "Unlocking Superhuman LLM Capabilities"

04:12 Custom AI Model and Testing

07:18 "Multi-Mode Control for LLMs"

12:33 "Intro to Vibe Coding"

13:19 "Streamlined AI for Simplification"

19:59 Podcast Analytics Simplified

21:27 "ChatChibuty vs. Google Gemini"

26:55 "Handling Diverse Data Efficiently"

28:50 "AI for Actionable Task Automation"

33:12 "Personalized Dashboard for Meetings"

36:21 Personalized Automated Workflow Solution

40:00 "AI Data Visualization Guide"

40:38 "Everyday AI Wrap-Up"

Keywords:
ChatGPT, Gemini, Claude, data visualization with AI, visualize data using AI, Large Language Models, LLM features, combining LLM modes, custom instructions, GPTs, Gems, Anthropic projects, canvas mode, interactive dashboards, agentic models, code rendering, meeting transcripts visualization, SOP visualization, document analysis, unstructured data, structured insights, generative AI workflows, personalized dashboards, automated reporting, chain of thought reasoning, one-shot visualizations, data-driven decision-making, non-technical business leaders, micro apps, AI-powered interfaces, action items extraction, iterative improvement, multimodal AI, Opus 4.5, Five One Thinking, Gemini 3 Pro, artifacts, demos over memos, bespoke software, digital transformation, automated analytics

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3 AI Lies Most People Believed In 2025 (But You Shouldn’t) Dec 02, 2025

Show notes

You've been lied to about AI. 🤥
A lot.
So on today's Hot Take Tuesday episode, we're breaking down 3 of the most viral AI half-truths of 2025 and setting the record straight.
Did Anthropic overtake OpenAI?
Do 95% of AI pilots fail?
Is half of the internet AI slop?
Tune in LIVE and find out.
3 AI Lies most people believed in 2025 (but you shouldn’t) -- An Everyday AI Chat with Jordan Wilson

Three Viral AI Lies of 2025 Debunked
Menlo Ventures Anthropic vs OpenAI Study Critique
Anthropic Enterprise Adoption Market Share Myth
Graphite's "57% AI Content" Internet Claim
AI Content Detector Inaccuracy Exposed
MIT 95% GenAI Failure Rate Study Audit
AI Study Bias and Marketing Manipulation
Best Practices for Evaluating AI Research

Timestamps:
00:00 "AI News: Truth vs. Hype"

04:19 "Debunking AI Myths"

07:08 "Anthropic vs. OpenAI Debate"

10:44 "Menlo Ventures Backs Anthropic"

14:38 OpenAI Dominates Enterprise AI Adoption

18:26 "Exploring AI Content and Detection"

22:16 Watermark Vulnerability in Media

23:36 "MIT AI Credibility Controversy"

29:04 "MIT's Nanda AI Marketing Misstep"

31:27 "AI Investment Delivers Positive ROI"

35:53 "AI Adoption: Pay Attention Now"

36:42 AI Decisions: Misled by Studies

Keywords:
AI lies, 2025 AI myths, generative AI, enterprise AI adoption, viral AI studies, AI misinformation, AI market share, Anthropic, OpenAI, Menlo Ventures, Claude, Microsoft Copilot, API usage, enterprise large language models, AI slop, Graphite study, AI-generated internet content, Surfer SEO, AI content detectors, AI detection accuracy, common crawl database, MIT AI pilot failure study, Nanda MIT, ROI of AI, AI pilots, enterprise software adoption, selection bias, cherry picked data, conflict of interest in AI research, ROI measurement in AI, productivity improvement studies, P&L statements AI, AI marketing, AI innovation, AI statistics, fake AI news, media polarization, unbiased AI research, AI failure rate, agentic AI, enterprise transformation, business leaders AI adoption, viral AI headlines, AI hype, AI skepticism, AI implementation strategies,

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