Everyday AI Podcast – An AI and ChatGPT Podcast
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Ep 887: ChatGPT Work: What’s New, Who It’s For and How to Use It (Replay)
22 oktober 2026 · 31 min
OpenAI's new ChatGPT Work is on fire. 🔥 Lees meer
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)
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
ChatGPT Work vs Codex Comparison
OpenAI's Viral ChatGPT Work Launch
Key Differences: Desktop vs Web Versions
ChatGPT Work User Growth and Backlash
Remote Access and Computer Use Features
Agentic AI: Multiple Agents on Desktop
Advanced Workflow Automation Capabilities
Syncing and Integration Challenges Explained
Detailed Demo: Site and Skill Creation
Power 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 use…
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Ep 886: The U.S. vs China AI Cold War Is Starting: What It Means and How It Impacts You (Replay)
21 oktober 2026 · 32 min
A U.S. vs China AI cold war is starting, and most business leaders have no idea they're already in it. Lees meer
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)
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
U.S.-China AI Cold War Overview
Chinese AI Models Closing U.S. Gap
Government Restrictions on AI Model Access
Economic and Geopolitical AI Power Struggle
Risks for U.S. Businesses Using Chinese AI
Open Source vs. Closed Source AI Debate
Chinese AI Model Pricing Undercuts U.S.
AI Model Distillation and U.S. Security Concerns
Enterprise AI Cost-Effectiveness Benchmarks
Microsoft Testing Chinese AI Deployments
Future AI Model Export Controls & Strategies
Recommendations 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 mode…
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Ep 885: Inside Everyday AI: My 9 most Used AI Tools and Workflows (Replay)
20 oktober 2026 · 44 min
"How do you use AI every day?" 🤔 Lees meer
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)
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Codex AI Agent Workflow Overview
Top Nine AI Tools and Workflows
Third Shift AI Stats Automation
AI-Powered Communication Triage Agents
Custom ChatGPT Sites for Workflow
Parrot Dictation Local App Build
Episode Planning with Gemini and Codex
Frontend Design Using Claude, Stitch, GPT Image
Gemini Notebook Deep Research Use
Codex AI Skill Building and Automation
ChatGPT 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…
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Ep 884: Codex Record and Replay: How to Teach an Agent Once Your Most Time-Consuming Workflows (Replay)
19 oktober 2026 · 27 min
Ever wish your agent would just watch you work and copy you? 👯 Lees meer
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)
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Codex Record and Replay Feature Overview
Transition from Prompting to Demonstration
Skill Markdown Files as Business Artifacts
Codex vs Claude Desktop Agent Comparison
Workflow Recording and Security Best Practices
Step-by-Step Codex Record and Replay Demo
Video Understanding Capability in Codex
Editing and Sharing Skills Across Platforms
Automating Multi-App, Cross-System Workflows
Validation, 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, code…
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Ep 883: How To Make Slides with AI: Hands on Comparison With the 9 Most Popular Options (Replay)
16 oktober 2026 · 53 min
No matter your role, experience or industry, we all (mostly) waste hours a week doing the same thing: manually creating slides. Lees meer
😫
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)
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
AI Slide Generation Tool Comparison Demo
Claude Design vs. Claude Opus Slide Outputs
Gamma AI Presentation Hallucinations & Errors
Google Gemini Slide Creation Capabilities Explained
Google Slides AI-Powered Deck Generation Workflow
NotebookLM Nano Banana Slide Deck Evaluation
ChatGPT Slide Creation Quality Assessment
Microsoft Copilot and PowerPoint Integration
Canva AI Slide Deck Hallucination Issues
Best 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 Na…
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Ep 882: Rogue AI Agents: Why Breakouts are Happening More and How Companies Should Prepare (Replay)
15 oktober 2026 · 44 min
If you’re reading the headlines, you’d think AI agents have gone rogue. Lees meer
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)
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Rogue AI Agent Breakouts Overview
Lab Sandbox vs. Real-World Agent Crashes
Six Recent AI Agent Outbreak Incidents
OpenAI Model Hacking Hugging Face Explained
Anthropic Mythos Model Sandbox Escape
Controlled AI Agent Experiments and Failures
Open Source AI Agents Threat Timeline
Business Risk Preparation for Rogue AI Agents
Monday 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
Keywo…
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Ep 881: Faster AI Agents, Fewer Human Coworkers: The Overly Productive Future of Managing Agents? (Replay)
14 oktober 2026 · 31 min
Agents are getting more powerful by the day. Lees meer
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)
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Managing Dozens of Productive AI Agents
OpenAI Cerebras: 20x Faster Agent Models
Impact of AI Agents on Human Coworkers
Agent-Driven Workflows vs. Human Collaboration
Increasing Agent Reliance and Fading Mentorship
Accidental Deskilling and Compression Tax
Protecting Human Judgment and Learning Handoffs
Expert-Driven Loops in AI Workflows
Monthly Rebuilding of AI Strategies and Processes
Middle 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,…
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Ep 880: Gemini Notebook: 7 New Updates and What They Unlock (Replay)
13 oktober 2026 · 31 min
Not only does NotebookLM have a new name, it's got a new game. Lees meer
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)
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Gemini Notebook Rebrand from NotebookLM
Seven Major Gemini Notebook Feature Updates
Collections for Organizing AI Notebooks
Automatic Google Drive Sync Integration
Expanded Gemini Notebook Output Formats
Agentic Intelligence and Gemini 3.5 Upgrade
Secure Cloud Computing for Each Notebook
Grounded Data Responses and Web Research
Hands-On Demo: Real-World Enterprise Use Cases
Studio Outputs: Infographics, Mind Maps, Quizzes
Multi-Modal Asset Creation in Gemini Notebook
Key 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, …
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Ep 879: New: OpenAI Presence. Has The AI Customer Service Takeover Finally Arrived? (Replay)
12 oktober 2026 · 30 min
OpenAI launched Presence, and it seems like no one really noticed. Lees meer
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)
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
OpenAI Presence Launch and Industry Response
Real-Time AI Voice Agents for Customer Service
OpenAI Presence vs. Competing AI Voice Platforms
GPT Live and Real-Time Model Capabilities
Enterprise AI Integration: Guardrails and Escalations
Multichannel AI Agent Consistency for Support
Speech-to-Speech Benchmark Rankings and Analysis
Deployment Challenges: Beta to Production Readiness
Consumer Demand for AI Customer Service Solutions
Internal 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
…
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Ep 878: What’s Coming Next: 5 AI Trends, Problems and Opportunities around the Corner (Replay)
10 oktober 2026 · 34 min
What's coming next in AI? 🤔 Lees meer
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)
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Autonomous Cars vs Human Drivers Analysis
Decline of AI Generalists in Workforce
Rise of AI Specialists and Translators
AI Homework Trend Among Office Workers
Challenges of Enterprise AI Training Gaps
FOMAT: Fear of Missing Agent Time
AI Agent Acceleration Problem and Opportunity
Impact 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 cha…
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Ep 877: ChatGPT Voice is Like Jarvis: How to use the New Feature and the 7 biggest unlocks (Replay)
9 oktober 2026 · 43 min
People are calling the new ChatGPT Voice their “AGI moment.” 🤖 Lees meer
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)
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
ChatGPT Voice as Jarvis-Style AI Agent
ChatGPT Voice vs. Old Voice Modes
Full Duplex GPT Live Model Explained
Desktop ChatGPT Voice: Codex Integration
Advanced ChatGPT Voice Workflow Use Cases
Utilizing Connectors and MCP Integrations
Stacking and Scheduling Tasks with Voice
Hands-Free Computer Control via iPhone
Durable Written Artifacts and Accountability
Omnipresent Desktop Orb Agent Features
Live Demo: Real-World Voice Command Tasks
Productivity 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, AG…
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Ep 876: The Most Important AI Model You’ll Probably Never Use That Just Dropped (Replay)
7 oktober 2026 · 30 min
You've probably never heard of Inkling. Lees meer
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)
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Inkling AI Model Launch Overview
Thinking Machines Lab Leadership Highlight
Inkling's Multimodal and Agentic Capabilities
Open Source vs. Proprietary AI Models
Enterprise Procurement with American AI Models
AI Fine Tuning as a Service (Tinker)
Benchmark Scores: Inkling vs. Frontier Models
Customization and Model Shopping for Enterprises
AI Token Costs Driving Model Efficiency
Bridgewater Case Study: AI Model Customization
Frontier Models Enabling Efficient Fine-Tuning
Future 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…
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Ep 875: RSI Explained: When AI Starts Improving Itself and What It Means (Replay)
5 oktober 2026 · 44 min
Intelligence too cheap to meter -- could that actually be coming? 🤑 Lees meer
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: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
OpenAI's GPT-5.6 Soul Self-Improvement
Recursive Self-Improvement (RSI) Definition & Impact
Cutting AI Model Costs by 80%
Timeline Acceleration for RSI Adoption
Google and Anthropic's RSI Research Initiatives
AI Automation: Building and Training AI Models
Industry Call for Slowing Down AI Pace
Superintelligence, AGI, and the Singularity Discussion
Practical Implications of RSI for Businesses
Security 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 containmen…
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Ep 874: Scheduling AI: how to easily make AI work for you in Claude, Gemini and ChatGPT (Replay)
3 oktober 2026 · 47 min
Scheduled tasks are a secret weapon. ⚔️ Lees meer
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)
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Introduction to Scheduling Tasks in AI
Google Gemini Scheduled Actions Overview
ChatGPT Scheduled Tasks Features & Hacks
ChatGPT Work Mode and Virtual Browser
Claude Scheduled Tasks vs. Routines Comparison
Using API Triggers with Claude Code Routines
Real-World AI Dashboard Scheduling Test
Detailed Results: Gemini vs. Claude vs. ChatGPT
Key Takeaways for Best Automated Scheduling
Practical 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…
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Ep 873: The Next 12 months of AI: 19 Predictions Every Business Leader Needs to Hear (Replay)
1 oktober 2026 · 57 min
The next 12 months of AI leaked. Lees meer
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. 👇
The Next 12 months of AI: 19 Predictions Every Business Leader Needs to Hear -- An Everyday AI Chat with Jordan Wilson (Replay)
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Reactive Chat Dies, Proactive AI Agents Rise
Voice and Mobile Become AI Default Interface
Manager Threads Replace One-Off AI Chats
Multiplayer AI: Humans and Agents Collaborate
Company-Wide Vibe Operations with ChatGPT Sites
Agent Native Workflows and Resources Standardization
Skill Reuse as Key Company Metric
Company Reasoning Data as Strategic Gold
Shift from Public Leaderboards to Private Evals
Model Routing Becomes AI Industry Norm
Cheaper AI Intelligence, Anthropic Competition Heats
Fortune 100 AI Token Spend Efficiency
Compute Power as New AI Currency
Localized AI Controversies and Election Deepfakes
Mainstream AI Backlash and Content Detection
Math Benchmarks Solved by Advanced AI
Token Maxing Returns with Cost Decline
Open Agents Crash Risks and Cybersecurity
Recursive Self Improvement (RSI) in AI Development
Timestamps:
00:00 Starting the AI 101 series
03:35 Yearly AI predictions roundup
07:54 Using full duplex AI…
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Ep 872: AI Cost Control 101: Why Your Chatbot Bill Is Becoming a Board-Level Problem (Start Here Series Vol 31)
29 september 2026 · 33 min
AI’s all-you-can-eat era is ending. 🍲 Lees meer
For years, one subscription felt like unlimited access to frontier models.
But that business model for the AI labs apparently breaks when agents can now run for days, use tools, retry work and burn through tokens.
And with Anthropic's powerful Fable 5 model exiting subscription tiers today and moving to API only pricing, it's as imperative of a time as ever to figure out your AI spend strategy.
Frontier AI is becoming a metered utility. On today's show, we teach you how to deal with it.
AI Cost Control 101: Why Your Chatbot Bill Is Becoming a Board-Level Problem -- An Everyday AI Chat with Jordan Wilson
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
End of Unlimited AI Subscription Plans
Anthropic Fable Five Subscription Removal
Copilot and Grok Switching to Pay-Per-Use
Enterprise AI Cost Control Challenges
Token Consumption in Agentic AI Models
Board-Level AI Spending Concerns
Strategies for AI Spend Optimization
Fine-Tuning and Multi-Model Routing Solutions
Seven-Step AI Cost Reduction Playbook
Timestamps:
00:00 Rising AI costs and usage
05:18 AI service cost challenges
10:18 Cost of AI and OpenAI's Future
14:18 Chatbot costs becoming a big issue
15:10 Automating work with desktop agents
19:26 Hidden costs of automation loops
24:13 The future of model mixtures
25:16 Microsoft Foundry's fine-tuning service
31:20 Fine tuning AI models
32:13 Closing thoughts on AI future
Keywords:
AI cost control, chatbot bill, AI spend, token efficiency, metered AI, agentic models, AI subscription plans, Fable Five, Anthropic, API pricing, OpenAI, GPT-5.6, Copilot cowork…
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Ep 871: Desktop Agent Lingo Simplified: Goals, Loops, Plans, Subagents and how it works in Codex and Claude Code (Start Here Series Vol 30)
28 september 2026 · 29 min
Talking about prompts and chatbots won't help you talk about AI strategy in 2026. Lees meer
You've gotta know the ins and outs of loops, plans, goals, subagents and more.
In this episode of Everyday AI, we're breaking down the agent lingo and how the key terms play out in systems like Codex and Claude Desktop.
Desktop Agent Lingo Simplified: Goals, Loops, Plans, Subagents and how it works in Codex and Claude Code -- An Everyday AI Chat with Jordan Wilson
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Desktop Agent Vocabulary Primer
Agent Harnesses: Codex vs. Claude Code
Desktop Agent Plans: Features and Workflow
Goal Setting in Codex and Claude Desktop
Plan vs. Goal: Key Differences
Agent Loops: Automation and Verification
Sub Agents: Parallel Task Management
Context Windows and Task Delegation
Guardrails, Verification, and Cost Control
Transition from Chatbots to Autonomous Agents
Timestamps:
00:00 Shifting focus to AI agents
03:28 Accessing the Start Here series
09:31 Using plan mode in clawed desktop
12:04 Understanding plan vs. goal mode
14:25 Setting project goals and planning
19:33 Accessing Start Here series
22:03 Building effective training loops
26:48 Managing sub agents effectively
27:30 Setting up sub-agent system
30:47 Closing and subscription reminder
Keywords:
desktop agent, desktop AI agent, agent lingo, agent vocabulary, long running agent, autonomous agent, codex, Claude Code, Claude desktop, AI harness, agentic harness, agentic tools, super app, Microsoft super app, OpenAI codex, long running desktop agents, plan mode, planning phase, agent plan, goal setting, AI goal, agent goals, lo…
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Ep 870: Open Source Surge? Does GLM-5.2 Make Open Source an Enterprise Priority? (Start Here Series Vol 29)
25 september 2026 · 37 min
Is the open model GLM-5.2 really Opus 4.8 level? 🤯 Lees meer
You mighta missed this, but over the past few weeks, three distinct forces have all converged at one:
↳ Chinese open models are near frontier SOTA
↳ Microsoft is reportedly considering open models to run Copilot
↳ Enterprises everywhere are talking token efficiency as AI costs soarSo while many are watching GLM-5.2 as an isolated model, it's important we dive deeper on its wider implications.
Open Source Surge? Does GLM-5.2 Make Open Source an Enterprise Priority? -- An Everyday AI Chat with Jordan Wilson
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Open Source AI's "ChatGPT Moment"
GLM 5.2 Model Benchmarks & Performance
Enterprise Adoption Drivers for Open AI
Microsoft Evaluating DeepSeek for Copilot
Token Maxing to Token Efficiency Shift
GLM 5.2 Infrastructure vs. Consumer Use
Autonomous Workflow Overshoot Explained
Capability Gap and Workflow Challenges
Enterprise Scenarios for Open Source Models
Future of Task-Specific SOTA AI Models
Timestamps:
00:00 Open source AI catching up
04:52 Enterprise shift to DeepSeek models
08:57 Comparing AI model performances
12:46 Running AI models locally
14:17 Open source model cost efficiency
17:37 Cost challenges with AI models
21:05 Agentic task token consumption
25:05 Introducing the Start Here series
27:58 Impact of AI on Job Roles
32:29 Evaluating Open Source AI Models
36:00 Considering open source models
37:09 Future of open source AI
Keywords:
open source AI, open source AI models, GLM 5.2, z AI, Zhipu AI, Chinese open source models, DeepSeek, Microsoft, enterprise AI, token maxing, token ef…
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Ep 869: AI SuperApps: Why Every Company is Racing to Create One and What They are (Start Here Series Vol 28)
24 september 2026 · 38 min
Ready for the AI buzzword for the rest of 2026? Lees meer
Superapps.
No, not China’s WeChat.
The AI Superapp era is much different, and it’s about to hit the business world hard. So, if you aren’t sure what an AI Superapp is or if your company should be using one, this is an episode you can’t miss.
AI SuperApps: Why Every Company is Racing to Create One and What They are — An Everyday AI Chat with Jordan Wilson
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
AI Super App Race: OpenAI, Anthropic, Microsoft
What Is an AI Super App? Explained
Agentic Shift: Chatbots to Autonomous Coworkers
Super App Harness vs. AI Model as Moat
Three-Pane Super App Interface Innovation
Codex vs. Cursor vs. Claude Benchmarks
Enterprise Desktop Integration and Super App Strategy
Super App Security, Risks, and Best Practices
Timestamps:
00:00 Super app race and ChatGPT integration
06:04 Emergence of desktop super apps
08:41 Codex as the leading super app
11:22 Shift to AI desktop super apps
14:13 The AI super app's proactive updates
17:26 Token efficiency in super apps
21:29 Future of AI model usability
27:03 Anthropic's role in AI development
30:19 Google's Gemini 3.5 and Anti-Gravity Launch
33:13 Risks and responsibilities with AI apps
34:31 Cautionary advice on AI usage
38:03 Introduction to AI super apps
Keywords:
AI super app, AI superapps, super app era, desktop super app, agentic AI, autonomous coworker, agentic context carry, agentic work future, AI execution layer, super app harness, model moat, code interpreter, Codex, OpenAI super app, Microsoft super app, GitHub Copilot, Anthropic, Claude Code, Claude Cowork, Goo…
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Ep 868: Tokenmaxxing is over: The New Era of Token Efficiency and how Your Company Should Adapt (Start Here Series Vol 27
23 september 2026 · 38 min
More tokens = more ROI, right? 🤔 Lees meer
Maybe.
But probably not.
Maybe one of the weirdest AI trends that has oddly stuck in 2026 is tokenmaxxing -- the practice of individuals and companies racing to use as many AI tokens as possible and equating it with business progress.
Reality check: token efficiency is the real rage.
So, how do you measure token efficiency and how can your company avoid the cost pitfalls of tokenmaxxing?
Join us as we break it down.
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
AI Token Maxing: Rise and Fall
Defining AI Tokens and Tokenization
Four Main Types of AI Token Usage
AI Agentic Loops and Token Consumption
Corporate Token Leaderboards and Meta Example
Risks of Unmonitored Token Burn in Enterprises
Token Subsidies and AI Pricing Trends
Measuring Token Efficiency versus Token Volume
Benchmarking Models: Cost per Intelligence Output
Shifting from Model Selection to Harness Efficiency
Best Practices for Enterprise Token Optimization
Monitoring AI Agents for Token and Cost Control
Timestamps:
00:00 Rethinking AI token usage
05:46 Token usage misconceptions in companies
09:15 Using token incentives
10:48 Tech companies adding usage limits
13:21 Understanding model token usage
17:16 Agentic models and tool use
22:21 Experimenting with token efficiency
25:18 Measuring AI's economic impact
29:11 Comparing AI intelligence and cost
30:36 Cost concerns with Anthropics' AI models
35:20 Importance of token efficiency
38:03 Takeaway from Microsoft CTO chat
Keywords:
token maxing, token efficiency, AI token usage, AI tokens, token consumption, large language models, agentic l…
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Ep 867: 2026 LLM Cheat Code: 10 Essential Steps To Get the Most out of Any AI Chatbot (Start Here Series Vol 26)
22 september 2026 · 39 min
This is the Everyday AI episode we probably shoulda done a while ago.... 👇 Lees meer
Because as different as ChatGPT, Gemini, Claude and others actually are under the hood, they have really started to copycat each other over the past 6 months.
Which means we finally have a set of concrete best practices to get the best outputs from any LLM.
Join us as we boil thousands of hours of experience into a 30-ish minute crash course that you can't afford to skip out on.
2026 LLM Cheat Code: 10 Essential Steps To Get the Most out of Any AI Chatbot -- An Everyday AI Chat with Jordan Wilson (Start Here Series Vol 26)
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
LLM Landscape: Cookie Cutter Model Trends
10 Essential Steps for AI Chatbots
Choosing the Right AI Operating System
Selecting Optimal AI Chatbot Surfaces
Importance of Paid AI Chatbot Plans
Understanding LLM Context Window Layers
Context Engineering and Prompt Best Practices
Integrating Files, Apps, and Company Data
AI Chatbot Privacy, Permissions, Governance
Transparency, Observability, and Reasoning Artifacts
Verification, Iteration, and Workflow Automation
Timestamps:
00:00 Keeping up with AI changes
03:55 Introduction to AI chatbots essentials
09:05 Rapid innovation in AI models
13:01 Understanding early AI models
14:37 Choosing an AI operating system
17:08 Discussing desktop app benefits
21:14 Understanding the context layer
23:55 Challenges without web search integration
28:55 Advancements in CRM connectors
32:35 Challenges with AI governance
35:13 Importance of observability in workflows
37:36 Developing universal AI skills
Keywords:
large lan…
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Ep 866: Build, Buy, Partner, or Wait: The 4-Layer AI Stack Decision Framework for 2026 (Start Here Series, Vol 25)
21 september 2026 · 38 min
The most expensive AI mistake of 2026 won't show up on any invoice. 💸 Lees meer
It'll show up two years from now when you can't get your data out, your competitors are eating your lunch, or your team is stuck maintaining software no one actually wanted to build.
Because in 2026, AI isn't one decision anymore.
It's four.
The model. The workflows. Your data. Your business software.
Each layer has its own build, buy, partner, or wait choice.
And most companies are making all four without realizing it.
Today on Everyday AI, we're breaking down the framework that puts those choices back in your hands.
Build, Buy, Partner, or Wait: The 4-Layer AI Stack Decision Framework for 2026 (Start Here Series, Vol 25) An Everyday AI Chat with Jordan Wilson
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Build vs. Buy vs. Partner vs. Wait in AI
Four-Layer AI Stack Decision Framework
Evolution of AI Agentic Workflows in 2026
Buy vs. Build Decision Obsolescence
When to Build Proprietary AI Solutions
Prepackaged AI Workflows for Small Businesses
Data Ownership and Integration Strategies
Vendor Lock-In and Technical Debt Risks
Partnering in Regulated or Critical Workflows
Waiting for Stable AI Categories
Three-Week AI Adoption Blueprint
Capability Gap and ROI in AI Investments
Timestamps:
00:00 Buy vs. build AI question
04:19 Start here podcast series intro
09:52 AI companies offering consulting services
11:27 AI skills and vertical integration
14:19 Evaluating AI adoption strategies
18:53 Building proprietary processes
20:28 Streamlining organizational workflows
23:48 Importance of strategic partnerships
27:34 Deciding …
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Ep 865: Open Source AI 101: Why Local Models, Cheap APIs, and AI Agents Change Everything (Start Here Series Vol 24)
18 september 2026 · 36 min
Until a few months ago, open source AI was kinda a hobby project. Lees meer
Now, it's tearing corporate boardrooms apart.
Why?
Over the past 6ish months, the gap between frontier closed AI and open sourced AI has shrunk to pretty much nothing. And with the surge of always on agents driving open models, their development and release schedule is on pace with the frontier labs.
So if your team isn't paying attention to -- and running test cases through -- open AI models, there's a good chance you'll either be overpaying or playing catch up soon.
We walk you through the 101 and what you need to know when it comes to open source AI in this Start Here Series special.
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Open Source AI vs Closed Models Shift
Chinese Model Distillation & Legal Impacts
Enterprise AI Cost Triage Strategies
Google Gemma 4 Local Model Capabilities
Frontier Model Performance Gap Closing
24/7 Agentic AI Systems Overview
API Pricing War: DeepSeek vs US Vendors
Legal Protection Tradeoffs for Open Source AI
AI Workflow Triage: Task-Specific Models
Future Trends: Local and Specialized LLMs
Timestamps:
00:00 Introducing the Firefly AI assistant
03:33 Open source AI cost benefits
09:25 AI model performance differences
10:19 Open source model improvements
15:28 Advancements in local AI capabilities
17:04 Impact of Google's Gemma four
22:15 Introducing Adobe's Firefly AI Assistant
24:19 Adobe Firefly AI assistant beta launch
29:26 Choosing the right AI tools
32:00 Shifting workloads to open source
33:31 Using open-source and closed models
36:47 The future of open models
Keywords:
open source A…
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Ep 864: Headless Software: Why Companies Are Building Software for AI Agents, Not Humans and what it means (Start Here Series Vol 23)
17 september 2026 · 35 min
Salesforce's cofounder essential questioned: why should you login to Salesforce anymore? 🤔 Lees meer
He wasn't signaling the AI-driven SaaSpocalypse was picking up steam.
Instead: he's talking about going headless.
What's that? It's a future where Salesforce -- any potentially many other household software giants -- stop making software interfaces for humans and start designing for AI agents instead.
So will this be a short-lived trend? Or, will the future of work not really involve a ton of humans clicking around?
Join us as we dissect the latest.
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Headless Software Definition and Evolution
AI Agents Versus Traditional Software Interfaces
Salesforce Headless 360 and MCP Protocols
OpenAI Workspace Agents Features and Impact
Google Vertex AI Rebranding to Gemini Agents
Model Context Protocol (MCP) and A2A Integration
Per Seat Software Pricing Disruption
Enterprise Procurement for Agent-Ready Software
Agentic Commerce and Automated Bot Traffic Trends
Strategies for Auditing and Migrating Vendors
Timestamps:
00:00 Shift to AI-first software development
05:39 Benefits of headless software
07:29 Headless software development insights
11:28 Salesforce launches headless 360 platform
14:15 The rise of headless software
19:10 AI model connectivity in 2026
23:24 AI's impact on software pricing
26:22 Discussing token maxing in business
28:25 AI agents impacting human commerce
32:16 Evaluating software and vendor choices
35:46 Competitive advantage in software pricing
Keywords:
headless software, interface-less software, headless software trend, software for AI agen…
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Ep 863: Agentic Context Carry: 3 Steps to Improve Cowork and scheduled AI Workflows (Start Here Series Vol 22)
16 september 2026 · 33 min
Info hunting and juggling sound familiar? Lees meer
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.
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Scheduled Agentic Context Carry (SACC) Explained
AI Agents: Features vs. Benefits Paradigm
Co-Working and Scheduled AI Workflow Shift
Persistent Context and Memory in AI Agents
Large Language Models’ 1,000,000 Token Context Windows
Workflow Automation: Eliminating Human-AI Duct Tape
Multi-App Integration and Cross-Platform Context
Three Steps to Deploy Scheduled Agentic Context Carry
Chain of Thought Iteration with Scheduled Agents
Autonomous Agent Limitations and Future Bridge
Timestamps:
00:00 Explaining SACC and AI benefits
03:43 Introducing the Start Here series
06:26 Rise of AI in enterprises
11:55 AI agents learning industry trends
15:08 Agent capabilities in AI systems
16:47 Explaining complex trends simply
20:13 Streamlining tasks with AI agents
24:18 Understanding AI and context windows
27:43 Understanding prompt engineering basic…
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Ep 862: AI Change Management That Works: 5 Moves The Top 5% Make (Start Here Series Vol 21)
15 september 2026 · 35 min
You think proper AI implementation is a technical problem for your company to solve? 🤔 Lees meer
Wrong.
It’s actually about people.
Maybe it’s because of the fast-pace nature of AI, and the fact there’s literally dozens of new AI tech drops each week that promise to change how we work, but the defecto response to showing ROI on AI always defaults to the technical side.
Yet, studies show building an AI-native organization is WAY more about change management than anything else.We break it down, and show you the 5 moves the Top 5% are making to get it right.
AI Change Management That Works: 5 Moves The Top 5% Make — An Everyday AI Chat with Jordan Wilson
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
AI Change Management vs. Technical Problem
AI Adoption’s People and Process Gap
Top 5% Change Management Playbook Steps
Budget Split: Funding People Over Tools
Dangers of AI Upskilling and Reskilling
Rebuilding AI-Native SOPs from Scratch
Weekly AI Enablement Rituals for Teams
Grading AI Behavioral Change, Not Tool Use
Enterprise ROI Gap in AI Adoption
Case Studies: Moderna, BBVA, JPMorgan AI Transformation
Timestamps:
00:00 AI adoption and change management challenges
04:39 AI change management challenges
08:57 AI's impact on workplace dynamics
12:51 Prioritizing Team Discussions and Processes
15:11 Investing in AI vs. People
18:25 Building AI-native processes
20:59 Embracing AI in daily tasks
24:05 Weekly AI strategy meetings
28:13 AI performance in big tech reviews
31:11 Adapting to AI in the workplace
34:21 Joining the Start Here series
Keywords:
AI change management, AI adoption, change management st…
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Ep 861: The 7 Silent Sins of Doing AI Right: How to Spot and Overcome the Invisible AI Work Traps (Start Here Series Vol 20)
14 september 2026 · 42 min
Even if you're 'doing AI right' you're probably lying, hurting others and getting dumb. 🤯 Lees meer
Sounds brash, but it's largely the truth.
Even proper AI use rewards speed, agility and scale. It doesn't emphasize thoughtful conversations, deep learning or thoughtful human conversation.
We call these the 7 Silent Sins of AI, and chances are you're committing many of them.
Don't worry. We'll break them down and teach you the basics on how to avoid them.
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
The Hidden Costs of Heavy AI Use
Sin One: Sycophancy in AI Chatbots
How to Fix Sycophancy with Custom Instructions
Sin Two: AI Psychosis and Delusional Echo Chambers
Sin Three: WAIF and Weaponized Training Data
Three Questions to Ask Before Trusting AI Stats
Sin Four: Accidental Deskilling of the Brain
Sin Five: The Agent Bun Sandwich Hollowing Expertise
Sin Six: The Compression Tax on Cognitive Bandwidth
Sin Seven: Automation Bias and Blind AI Trust
Grieving the Loss of Domain Expertise
Daily Habits to Protect Your Thinking
Timestamps:
00:16 The personal cost of heavy AI use
02:35 The seven invisible AI traps overview
04:29 Sin one: sycophancy explained
07:22 Fix sycophancy with blunt custom instructions
08:53 Sin two: AI psychosis and echo chambers
11:48 How to spot AI psychosis in yourself and others
12:39 Sin three: WAIF and tainted training data
17:44 Three questions to vet any AI stat
18:12 Sin four: accidental deskilling
22:57 Sin five: the agent bun sandwich
29:26 Sin six: the compression tax
34:34 Sin seven: automation bias
38:29 Grieving the end of domain expertise
Keywords:
sycophancy, AI …
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Ep 860: Managing the AI Capability Gap: AI Is More than Ready. Most Companies are Not (Start Here Series Vol 19)
11 september 2026 · 34 min
Would you show up to compete in a Formula One race in a bike? 🚴♂️ Lees meer
Like.... you could. But you'd get smoked.
Yet, that's the exact AI strategy that 99% of enterprises are going through when it comes to AI adoption.
And the studies prove that not-so-hot-take to be true. The capability gap between what today's frontier AI models can do and what enterprise companies actually use them for is jaw-dropping.
So, how do you manage it?
Join us for our latest Start Here Series show to find out.
Managing the AI Capability Gap: AI Is More than Ready. Most Companies are Not -- An Everyday AI Chat with Jordan Wilson
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More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
AI Capability Gap Definition & Urgency
Frontier AI vs. Human Expert Benchmarks
Anthropic AI Knowledge Worker Usage Study
Top 6% AI Company Adoption Strategies
Five Causes of the AI Capability Gap
Recursive Self-Improvement in AI Models
AI Adoption vs. Organizational Workflow Design
Closing the AI Capability Gap with Metrics
AI Automation in Professional Knowledge Work
Managing AI Risk Tiers & Process Redesign
Timestamps:
00:00 Understanding the AI capability gap
05:32 Jack Clark on AI progress
08:42 The AI adoption gap explained
11:00 Start Here series introduction
14:48 Evaluating AI on real tasks
16:08 Rapid advancements in AI capabilities
20:43 AI's impact on work and skills
24:36 Latest AI models improving products
27:00 AI adoption challenges and capability gaps
32:07 Automating workflows and assessing risk
34:19 The AI capability gap report
Keywords:
AI capability gap, AI adoption, artificial intelligence, organizational adoption, busines…
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Ep 859: The Vibe Coding Boom: Why Vibe Coding isn't Going Away and How it's Both Good and Bad (Start Here Series Ep 18)
10 september 2026 · 34 min
Is Vibe Coding dying already? Lees meer
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 Wilson
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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Vibe Coding Definition and Industry Impact
Top 10 Vibe Coding Platforms Overview
Terminal and Command Line Coding Agents
AI Native Code Editors Breakdown
Browser-Based App Builders Comparison
Vibe Coding Adoption by Non-Developers
Security Risks in Vibe Coding Applications
Rescue Engineering and Codebase Rebuilds
Developer Trust Collapse in AI Coding
Strategies for Sustainable Vibe Coding
Timestamps:
00:00 AI's impact on coding today
05:36 AI tools transforming software development
07:32 Using AI tools for content creation
09:58 Comparing AI coding tools
15:25 AI tools for building web apps
19:07 Using Google's AI tools
21:42 AI coding's rapid growth and risks
25:24 Risks of autonomous agent coding
28:42 AI sprawl and coding changes
32:33 Natural language AI for coding
34:32 Closing and subscription reminder
Keywords:
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…
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Ep 858: Responsible AI Playbook: What It Means and 5 Moves to Ensure Your AI Strategy Survives (Start Here Series Vol 17)
9 september 2026 · 25 min
Half of consumer question the authenticity of what they see online. 🤔 Lees meer
That's the reality of the business world that your company is blindly spraying a gajillion AI-generated artifacts into.
Sure, enterprises want to 'do the right thing' when it comes to ethical and responsible AI.
But it's easier said than done when the tech is outpacing the guardrails.
Don't worry, we'll break it all down for you and leave you with the 5-step playbook to turn responsible AI from a checkbook needing your approval to a competitive advantage.
Responsible AI Playbook: What It Means and 5 Moves to Ensure Your AI Strategy Survives - An Everyday AI Chat with Jordan Wilson
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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Responsible AI Playbook Overview
Responsible AI vs. Ethical AI Explained
Five Pillars of Responsible AI Framework
Consumer Trust Crisis and AI Authenticity
AI Lawsuits, Hiring Bias, and Regulation
EU AI Act High-Risk Enforcement Penalties
Copyright Lawsuits and AI IP Exposure
Five-Step Responsible AI Implementation Guide
Transparency as AI Competitive Advantage
Responsible AI Impact on ROI and Growth
Timestamps:
00:00 Why companies struggle with AI
03:59 Defining responsible vs ethical AI
07:57 Ensuring accountability in AI use
09:33 AI risks and human agency
15:15 AI copyright risks for enterprises
16:13 EU AI Act enforcement timeline
21:12 Transparency and the trust crisis
23:00 Responsible AI and governance basics
Keywords:
Responsible AI, AI governance, ethical AI, AI trust, AI bias mitigation, transparency, explainability, accountability, privacy, security, safety, reliability, agentic AI, AI…
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Ep 857: From Chatbots to Super Agents: The 11 AI Tool Categories Explained (Start Here Series Ep 16)
9 september 2026 · 50 min
Most people are either using too many AI tools or not enough. Lees meer
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 Wilson
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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
11 Essential AI Tool Categories Overview
Text Reasoning Assistants Explained
Multimodal AI Operating Systems Breakdown
AI Search and Deep Research Tools
Voice and Speech AI Tech Trends
AI Image Generation Diffusion Models
AI Video Generation & World Models
AI Music Generation Tools and Players
Design and Visual Content Automation
Vibe Coding App Builders Functionality
AI Coding Copilots & Local Agents
Autonomous AI Agents and Browsers
Building a Competitive Personal AI Stack
Timestamps:
00:00 Overview of 11 AI tool categories
06:40 AI tools and their uses
07:54 Old school AI systems
11:23 Being patient with AI tools
16:15 How AI models find answers
17:22 Future of browsing with AI
23:49 How AI generates images
26:50 How video generation works
29:01 Creative AI and music generation
33:48 AI tools and natural language
34:41 Explaining vibe coding and key players
38:35 Understanding autonomous AI agents
42:58 AI platforms and top players
45:02 Choosing the right AI tools
48:04 Choosing the right AI tools
Keywords:
AI tool categories, chatbots, super agents, text reasoning assistants, multimodal AI platforms, AI search, deep research, voice an…
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Ep 856: Everything Is Fake: How Your Company Can Leverage Human Expertise and Fight AI Workslop (Start Here Series Ep 15)
4 september 2026 · 32 min
You're polluting the world with AI Workslop and you don't even know it. 🗑️ Lees meer
In a world were everything is free and fake -- or, AI -- it's easy to just throw unlimited spaghetti at the wall and see what sticks.
But there's a downside in just blindly rubber stamping those generic outputs from LLMs. And it's worse than the workslop epidemic. It's losing trust.
So, how can your company survive and thrive in an AI world where everything is fake?
Tune in and find out.
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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
AI Trust Crisis and Consumer Skepticism
Deepfakes, Fraud, and AI-generated Content
Workslop: Rise of Generic AI Outputs
Human Expertise vs. Fully Automated AI
AI Content Detection and Liar’s Dividend
Elevating Human Oversight in AI Workflows
Expert-Driven Loops vs. Human-in-the-Loop
Auditing Business Outputs for AI Workslop
Domain Expertise in AI Context Engineering
Roadmap to Fight AI Workslop with Humans
Timestamps:
00:00 "Navigating AI-Driven Distrust"
04:01 AI, Jobs, and Fake Realities
06:35 "AI vs Expert Content Quality"
10:09 AI-Driven Online Interaction Surge
14:41 "Trust Fading in Imperfect Brands"
16:31 "AI Literacy: Bridging the Gap"
19:18 "Elevating Expertise in AI Workflows"
22:58 "Context Engineering for Domain Expertise"
28:11 AI's Impact on Blog Quality
29:21 "Fighting AI Work Slop"
32:40 "Everyday AI: Join & Explore"
Keywords:
AI-generated content, everything is fake, AI workslop, work slop, AI slop, trust crisis, deepfakes, synthetic media, fake landing pages, fake customer service, AI-enabled fraud, voice cloning, agentic AI, discourse bots, domain expertise, human …
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Ep 855: AI Governance in Plain English: 5 AI Rules Every Company Needs to follow (Start Here Series Vol 14)
4 september 2026 · 30 min
Pop quiz: If your company's agents go off the rails, can you confidently name the human at fault in 10 seconds? Lees meer
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 Wilson
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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
AI Governance Explained in Plain English
Why AI Governance Matters for Companies
Deloitte AI Governance Statistics Breakdown
Challenges in Governing Rapidly Evolving AI
Real-World Lawsuits from Ungoverned AI
U.S. vs. EU AI Governance Laws Overview
Five Essential AI Governance Rules
Shadow AI and AI Tool Inventory Risks
Classifying AI Tools by Risk Level
Assigning Clear Ownership of AI Systems
Writing Playbooks Versus Policy Documents
Governance as an AI Scaling Engine
Importance of Monthly AI Governance Reviews
Timestamps:
00:00 "AI Governance Gap Insights"
05:56 "AI Governance Challenges Today"
09:03 "AI Governance Matters More Now"
11:57 AI Governance Showdown Looms
16:23 Optimizing AI Use in Organizations
19:21 "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 g…
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Ep 854: The AI Labor Shift: When It Will Happen and What It Means for Jobs (Start Here Series Vol 13)
2 september 2026 · 32 min
40,000+ AI-linked job cuts in two weeks. 😬 Lees meer
But AI is also supposed to create millions of new jobs.
So are we watching traditional work slowly die while the replacements don't exist yet?
And did we really spend decades building expertise just to babysit AI agents that are smarter and faster than us?
Join us live to find out.
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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
AI-Driven Job Cuts and Layoffs Analysis
The AI Labor Shift: Timeline Predictions
Big Tech AI Infrastructure Investments
AI as Layoff Scapegoat and "AI Washing"
Capability Gap: AI Use vs. Potential
Roles Most at Risk in AI Labor Shift
Codified vs. Tacit Knowledge Job Impact
Three-Step Survival Guide for AI Careers
Domain Expertise Plus AI Skills Premium
New AI Job Roles and Emerging Opportunities
Timestamps:
00:00 "AI Jobs, Investments, and Displacement"
06:18 AI's Impact on Jobs
08:20 "AI Layoffs and Overhiring"
11:36 Driving AI Value with Section
16:00 AI's Workforce Impact Gap
18:25 "AI Impact on Work Dynamics"
20:25 AI-Driven Workflows Mainstream by 2030
24:25 "AI Impact on Job Security"
27:47 "Emerging AI Roles and Expertise"
31:17 "Surviving the AI Labor Shift"
33:38 "Boost AI Adoption with Section"
Keywords:
AI labor shift, AI job displacement, AI and employment, AI job loss, AI job creation, traditional employment decline, future of work, AI workforce transformation, AI layoffs, tech layoffs,
Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)
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Ep 853: The State of the AI Race. Who will win in 2026: OpenAI, Microsoft, Google Or Anthropic (Start Here Series Vol 12)
1 september 2026 · 42 min
Who will win the AI race in 2026? 🏇 Lees meer
Will Google finally catch OpenAI in users?
Has Claude surpassed ChatGPT in capabilities?
And.... how can your company avoid the AI battles and just pick its lane?
So many AI questions. We've got your AI answers.
As part of our ongoing 'Start Here Series' we tackle one of the most important questions for most enterprises: Who will win the AI race and how do you decide?
The State of the AI Race. Who will win in 2026: OpenAI, Microsoft, Google Or Anthropic -- An Everyday AI Chat with Jordan Wilson
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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
AI Race 2026: OpenAI, Microsoft, Google, Anthropic
Chatbot Era Ending: Rise of Agentic Systems
OpenAI vs Google vs Anthropic User Stats
Large Language Model Benchmark Comparisons
Enterprise AI Adoption Trends
Agentic Workflow Automation: Business Impacts
Microsoft Copilot and Governance Features
Anthropic Claude’s Premium Intelligence Integration
Timestamps:
00:00 "2026 AI Race Predictions"
04:01 "AI's Daily Driver Era Arrives"
08:31 AI Revenue and IPO Trends
10:10 "Revenue Success with Fewer Users"
13:42 AI Integration and Market Impact
19:49 Microsoft's Role in OpenAI Investments
21:00 "Microsoft vs Google: AI Investments"
26:42 "Anthropic's Focus on Specialized AI"
30:34 Microsoft Copilot's AI Evolution
31:28 Microsoft Copilot: CEO's Hands-On Vision
35:13 AI Coding Models Market Trends
38:44 "Modular AI for Enterprise Success"
42:06 "Everyday AI: Subscribe Now"
Keywords:
AI race, state of AI 2026, OpenAI, Microsoft, Google, Anthropic, enterprise AI, consumer AI, agentic systems, AI workflow, large language mod…
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Ep 852: Measuring AI ROI: Why you’re doing it wrong and the 7 Steps to fix it (Start Here Series Vol 11)
31 augustus 2026 · 31 min
Why can't most companies show their ROI on GenAI? Lees meer
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 Wilson
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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Proving and Measuring AI ROI in Companies
OpenAI’s GDP Benchmark: AI vs Experts
Debunking MIT’s Viral Zero ROI Study
Quantitative AI ROI Data from Business Studies
Invisible Productivity: AI Savings Pocketed by Workers
Limitations of Pre-AI Job Roles and Metrics
ROI Calculation: Time Saved and Cost Reduction
Five Main Reasons AI ROI Isn’t Measured
Seven-Step AI ROI Measurement Blueprint
Importance of Ongoing AI Model Retesting
AI ROI: Training, Education, and Implementation Gaps
Timestamps:
00:00 "AI ROI: Fixing the Debate"
04:50 "AI ROI Debate is Pointless"
08:03 AI Implementation Yields Positive ROI
12:13 AI Reshaping Work Structures
15:08 AI ROI Challenges
20:11 "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 …
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Ep 851: From AI Chatbot to Autonomous Coworkers: How Consumer AI Has Changed and What's Next (Start Here Series Vol 10)
28 augustus 2026 · 31 min
If your entire company was using ChatGPT in 2022.... good chance you ended up in some trouble. 😬 Lees meer
Now if you're company is NOT using AI in 2026.... you'll definitely be in trouble.
But a different kind.
That's how quickly AI has changed the business landscape. What was once a megaviral party trick in 2022 is not the lifeblood of the American Enterprise.
So.... how the heck did it happen so fast?
In our 10th volume of the 'Start Here Series,' we break it all down.
From AI Chatbot to Autonomous Coworkers: How Consumer AI Has Changed and What's Next - An Everyday AI Chat with Jordan Wilson
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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Five Phases of AI-Enabled Work
From Chatbots to Autonomous AI Coworkers
Large Language Models Evolution Timeline
Business Chat AI and Team Integration
Agentic AI Era—Models with Reasoning
Desktop AI Agents and Local File Access
Security and Governance for Desktop AI
Scheduling Layer in AI Agents
Key AI Agent Products and Comparisons
Actionable Strategies for AI Implementation
Timestamps:
00:00 From Chatbot to Autonomous Coworker
03:14 AI's Desktop Agent Revolution
06:47 AI Phases and Overlap Explained
10:55 "Early AI Models Were Ineffective"
13:51 AI Transforming Work by 2025
17:14 "Shift to New Era AI"
21:20 "AI Agents Controlling Computers"
24:11 "OpenAI's Multi-Agent Claude Launcher"
28:21 "Future of AI in Business"
30:21 "Proactive AI Revolutionizing Work"
Keywords:
AI chatbot, autonomous coworker, consumer AI, five phases of AI-enabled work, AI agents, desktop AI, agentic era, business chat, scheduling AI, scheduled tasks, large language models, generat…
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Ep 850: Agent Risk, Security, and AI Sprawl in 2026: Why AI That Acts Changes Everything (Start Here Series Vol 9)
27 augustus 2026 · 41 min
The perfect AI storm happened, and no one has noticed yet. 😬 Lees meer
And when everyone finally realizes, they'll be too busy focused on the shiny new AI capabilities to see the straight up agentic nightmare looming right in front of them.
I'll be honest though.
↳ Yeah, there's a dark side to AI agents.
↳ Yeah, it's worse than you think.
↳ Yeah, we're gonna talk about.Agent Risk, Security, and AI Sprawl in 2026: Why AI That Acts Changes Everything – An Everyday AI Chat with Jordan Wilson (Start Here Series Volume 9)
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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Evolution of AI Agent Risk (2022-2026)
Agentic AI Security Threats Explained
Types of Agent Sprawl & Dark AI
Key Differences: Chatbot vs Agent Risk
Major AI Labs' Risk Response Strategies
Agent Actions, Outputs, and Enterprise Risk
Monday Morning Playbook for AI Security
Agent Skill Marketplace & Supply Chain Risk
Timestamps:
00:00 AI Risks: A Rapid Evolution
06:22 "Applying Buzzwords to Practice"
07:31 AI Evolution: Dumb to Proactive
13:23 "Expanding Blast Radius with Tools"
14:04 "AI Actions: Enterprise Nightmare"
17:16 "Start Here: AI Basics"
22:50 "Agentic Web and Business Value"
24:09 "Advances Driving AI Agent Efficiency"
27:30 AI Labs: Balancing Risk and Research
32:04 "Autonomous AI Model Concerns"
33:43 "Managing Autonomous Agent Risks"
37:08 "Foundations First for Future Success"
41:00 "Understanding Risks and Opportunities"
Keywords:
AI risk, agent risk, security risk, AI sprawl, AI agents, agentic AI, AI model actions, business AI risk, corporate AI security, agent risk mental model, OpenAI, Google, Anthropic, Microsoft, gov…
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Ep 849: AI Agents in 2026 Explained: What They Are and When You Should Use Them (Start Here Series Vol 8)
26 augustus 2026 · 29 min
AI Agents. AI Agents everywhere. 🪐 Lees meer
For what seems like an eternity, we've been hearing about how AI agents were going to do everything. (In a good and bad way)
But it never really happened.
Until now.
Today, AI agents are more important than ever. But... the questions are still legit plentiful.
↳ What actually is an AI agent?
↳ How do they work?
↳ And what are the best ways to implement them?We'll tackle those questions and more, LIVE.
AI Agents in 2026 Explained: What They Are and When You Should Use Them -- An Everyday AI Chat with Jordan Wilson (Starter Series, Vol 8)
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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
AI Agents 2026: Definition & Overview
AI Agents vs Traditional AI Chatbots
Current State of AI Agents in Enterprises
AI Agent Adoption Statistics & Market Trends
Key Differences: Workflow Automation vs AI Agents
Types of AI Agents: Task, Process, Decision
Autonomous vs Passive AI Agents Explained
Real-World Risks: Security & Shadow AI Tools
AI Agent Use Case Decision Framework
Best Practices: Starting AI Agent Pilots
Measuring AI Agent ROI & Performance
Building Effective Agent Ecosystems
Timestamps:
00:00 "Join Our Inner Circle"
05:29 "Understanding AI Agents"
08:41 "Autonomous Agents as Workers"
11:04 Agentic AI: Decisions and Challenges
17:00 "Shadow AI Poses Growing Risks"
18:00 "Agent Creativity and Loopholes"
22:04 "Agentic Transactions and AI Workflows"
25:27 "Getting Started with AI Agents"
27:20 "Future Success in AI Agents"
Keywords:
AI agents, autonomous agents, agentic AI, multi-agent systems, AI agent definition, agentic models, autonomous systems, AI chatb…
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Ep 848: Context Engineering: How to Get Expert-Level Outputs From AI Chatbots (Start Here Series Vol 7)
25 augustus 2026 · 36 min
How did prompt engineering die so quickly? ☠️ Lees meer
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 Wilson
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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Evolution from Prompt to Context Engineering
Why Prompt Engineering Is Now Obsolete
Defining Context Engineering in AI Chatbots
Six-Part Framework for Context Engineering
Four Layer System for Structuring AI Context
Building Reusable Context Vaults and Skills
Connecting Business Data to AI Models
Techniques to Achieve Expert-Level AI Outputs
Importance of Context Windows in Large Language Models
Context Engineering Best Practices and Scalability
Timestamps:
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, …
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Ep 847: How to Train Your Team on AI: The 7 Steps to Educate Your Organization on LLMs (Start Here Series Vol 6)
24 augustus 2026 · 27 min
Like 99% of companies are pushing AI. 🚀 Lees meer
But like 0.01% are actually training their people on it. 🤦
Don't worry. We'll go over the essentials on how to get started training your team or getting your company trained on best practices for using AI in your day-to-day.
First step to solving the AI implementation gap starts here.
How to Train Your Team on AI: The 7 Steps to Educate Your Organization on LLMs -- An Everyday AI Chat with Jordan Wilson
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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
AI Training Adoption Gap in Organizations
Seven Steps to Train Teams on AI
Importance of Leadership in AI Adoption
Fixing Broken Workflows Before AI Integration
Choosing and Committing to One AI Platform
Training Employees in Three AI Knowledge Layers
Documenting Procedures for AI Implementation
Mandating Hands-On AI Practice and Outputs
Transitioning Teams from AI Operators to Orchestrators
Timestamps:
00:00 "AI Spending, Training Gap Looms"
05:48 "Embracing AI-First Leadership"
08:43 "Choosing Between AI Copilots"
10:22 "Unified AI Operating System Strategy"
14:46 Partnering for Generative AI Success
18:40 "Document Processes for AI Workplaces"
19:58 "AI OS for Decision Trees"
24:56 "Future Jobs: Orchestrating Tasks"
27:33 "Training Teams on AI"
Keywords:
AI training, large language models, corporate AI adoption, AI literacy, AI education, team AI training, employee AI training, organization AI strategy, AI workflows, workflow optimization, AI platform selection, AI operating systems, Microsoft 365 Copilot, ChatGPT Enterprise, Google Gemini, Anthropic Claude, shadow IT, AI tool sprawl, data documentatio…
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Ep 846: AI Hallucinations: What they are, why they happen, and the right way to reduce the risk (Start Here Series Vol 5)
21 augustus 2026 · 30 min
Let's talk about the AI elephant in the room: hallucinations. 🐘 Lees meer
Maybe hallucinations are the reason your company has been hesitant on AI.
But here's the thing, y'all. If you know what you're doing, hallucinations are largely manageable.
But first, you gotta understand what they are, how they happen, and how to reduce the risk.
Let's get started cutting down hallucinations together.
AI Hallucinations: What they are, why they happen, and the right way to reduce the risk (Start Here Series Vol 5) -- An Everyday AI Chat with Jordan Wilson
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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
AI Hallucinations Definition and Causes
Large Language Models' Hallucination Mechanisms
Hallucination Types: Fabricated Claims & Sources
Model Improvements Reducing Hallucination Rate
Context Window Impact on AI Accuracy
AI Hallucinations in Legal and Enterprise Settings
Four-Layer Method for Minimizing Hallucinations
Custom Instructions and Retrieval-Augmented Generation
Expert-Driven Verification and Agent Safety Practices
Timestamps:
00:00 "Modulate's Velma: Smarter AI Insights"
03:18 "Reducing AI Hallucinations Explained"
08:36 "Minimizing AI Hallucinations with Skill"
12:30 "Model Retention and Recall Decline"
13:23 AI Advances: Improved Accuracy and Recall
19:24 "AI Hallucinations and Their Causes"
21:07 "Customizing AI Behavior Effectively"
24:47 "Connecting Data to Reduce Hallucinations"
28:47 "AI Oversight and Expert Input"
30:56 "Reducing AI Hallucinations Simplified"
Keywords:
AI hallucinations, large language models, next token prediction, AI error, human error, fabricated claims, reinforcement lear…
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Ep 845: Human-AI Collaboration: Best practices for working alongside AI (Start Here Series Vol 4)
20 augustus 2026 · 34 min
Spending more time fixing your AI outputs then you're saving? Lees meer
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 Wilson
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Human-AI Collaboration Best Practices 2026
Shift from Operator to Orchestrator Roles
Human-in-the-Loop Limitations Explained
Expert-Driven AI Review Loops vs. Generic Oversight
Orchestrating AI Agents for Business Productivity
Building Reusable AI Context and Skills
Elevating AI Champions on Team
Human Strengths vs. AI Strengths in Workflows
Avoiding Augmentation Debt and Workflow Pitfalls
Mindset Shifts for Effective AI Management
Timestamps:
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 Loops
18:10 "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, seni…
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Ep 844: AI as an Operating System: LLMs Are the Internet Now (Start Here Series Vol 3)
19 augustus 2026 · 41 min
One of the biggest mistakes in AI? Lees meer
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 Wilson
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
AI As An Operating System Explained
Large Language Models Replace Traditional Apps
AI Integration in Knowledge Work Platforms
Choosing the Right AI Operating System
Microsoft Copilot vs. Google Gemini vs. Claude vs. ChatGPT
Agentic Browsers Powering Autonomous Workflows
Model Context Protocol (MCP) for AI Agents
Orchestration Layer and Agent Collaboration
ChatGPT Apps Merging AI and Internet
Enterprise Data Integration with AI Tools
Context Switching Reduction Through AI Agents
Strategic AI Adoption and Platform Redundancy
Timestamps:
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 Tools
13:46 "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 Insights
26:42 "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 Portability
39:35 "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 Copi…
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Ep 843: AI Without the Jargon: The Language Every Business Leader Needs in 2026 (Start Here Series Vol 2)
18 augustus 2026 · 30 min
The AI gap will kill companies. Lees meer
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 Wilson
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
AI Jargon Barrier for Business Leaders
Generative AI Basics and Lingo Breakdown
ChatGPT, Claude, and Gemini Model Comparison
Understanding Tokens and Context Windows
Large Language Models: Prompt to Outcome
Parameters, Model Power, and Cost Implications
Retrieval Augmented Generation (RAG) Explained
Embeddings, Vector Databases, and Chunking
Agentic Models vs. Transformer Models
AI Risks: Hallucinations, Prompt Injection, Guardrails
Model Context Protocol (MCP) and Connectors
Scaffolding for Complex AI Workflows
AI Success: ROI, Risk, and Implementation Strategies
Timestamps:
00:00 "Join Start Here Series Community"
03:21 Bridging AI and Business Leaders
09:35 Partnering for Generative AI Success
12:26 "AI Models Operate Using Tokens"
15:41 "Shift to Smaller AI Models"
18:56 "Understanding RAG and Its Impact"
22:38 "AI Tools Co…
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Ep 842: Generative AI: How it works and why it matters in 2026 more than ever (Start Here Series Vol 1)
17 augustus 2026 · 38 min
Have you ever felt overwhelmed by AI? Lees meer
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 Episodes
Ep 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 Community
More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Generative AI Basics and 2026 Impact
Explosive Growth of Large Language Models
AI Adoption Rates in Enterprises
AI Agents and Operating Systems Overview
History and Evolution of Artificial Intelligence
Transformer Architecture and Model Breakthroughs
How Large Language Models Work
Modern AI Capabilities: Multimodal Tools
Quantifying ROI for Generative AI Investment
Workforce Disruption and Future Job Trends
Scaling AI: From Pilot to Enterprise-Wide
Urgency for AI Upskilling and Competitive Advantage
Timestamps:
00:00 "Start Here: AI G…
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Ep 841: ChatGPT Computer History, New Gemini Model, Claude Flexes on the Browser and 7 more AI updates you should use Today
14 augustus 2026 · 35 min
ChatGPT can do what now? 😱 Lees meer
This week's AI updates were low key bangers and under-the-radar model releases.
ChatGPT's latest update allows it to remember and recall anything you've done on your computer.
Google's Gemini Flash is actually fast AND cheap again. And a lot smarter.
And Anthropic is bringing a bit more power to its Claude Chrome extension.
If you take a week off from your favorite AI tools, you might come back and feel kinda lost. That's what our AI Friday Features show tackles: the latest updates that are available today to immediately upgrade your work.
ChatGPT Computer History, New Gemini Model, Claude Flexes on the Browser and 7 more AI updates you should use Today -- An Everyday AI Chat with Jordan Wilson
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Gemini 3.7 Flash Price and Speed Drop
Gemini Spark Coding Agent Improvements
GLM 5.3 Coding Model Cybersecurity Benchmark
GLM 5.3 Open Weights Release Timeline
Grok 4.6 Model vs GPT-5.6 Performance
Grok 4.6 in Cursor and Developer Access
Google Sheets Canvas Interactive Dashboard Feature
Claude CoWork Chrome Browser Integration
Claude CoWork Sync and Web Automation
ChatGPT Ultra Fast API Speed Tier Launch
ChatGPT Cerebras Chip Partnership Details
ChatGPT & Codex Computer History for Mac
Computer History Workflow Completion Automation
Timestamps:
00:00 Rapid AI advancements and price drops
06:06 Introducing Gemini 3.7 Flash
09:24 GLM 5.3 model updates
13:02 Improvements in Chinese AI models
16:11 GROC 4.6 impact on pricing
18:51 Google Sheets app feature overview
22:40 Claude Cowork Chrome extension features
23:33 Using Claude C…
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Ep 840: The Next 12 months of AI: 19 Predictions Every Business Leader Needs to Hear
13 augustus 2026 · 55 min
The next 12 months of AI leaked. Lees meer
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. 👇
The Next 12 months of AI: 19 Predictions Every Business Leader Needs to Hear -- An Everyday AI Chat with Jordan Wilson
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Reactive Chat Dies, Proactive AI Agents Rise
Voice and Mobile Become AI Default Interface
Manager Threads Replace One-Off AI Chats
Multiplayer AI: Humans and Agents Collaborate
Company-Wide Vibe Operations with ChatGPT Sites
Agent Native Workflows and Resources Standardization
Skill Reuse as Key Company Metric
Company Reasoning Data as Strategic Gold
Shift from Public Leaderboards to Private Evals
Model Routing Becomes AI Industry Norm
Cheaper AI Intelligence, Anthropic Competition Heats
Fortune 100 AI Token Spend Efficiency
Compute Power as New AI Currency
Localized AI Controversies and Election Deepfakes
Mainstream AI Backlash and Content Detection
Math Benchmarks Solved by Advanced AI
Token Maxing Returns with Cost Decline
Open Agents Crash Risks and Cybersecurity
Recursive Self Improvement (RSI) in AI Development
Timestamps:
00:00 Starting the AI 101 series
03:35 Yearly AI predictions roundup
07:54 Using full duplex AI assistan…
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Ep 839: Scheduling AI: how to easily make AI work for you in Claude, Gemini and ChatGPT
12 augustus 2026 · 46 min
Scheduled tasks are a secret weapon. ⚔️ Lees meer
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
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Introduction to Scheduling Tasks in AI
Google Gemini Scheduled Actions Overview
ChatGPT Scheduled Tasks Features & Hacks
ChatGPT Work Mode and Virtual Browser
Claude Scheduled Tasks vs. Routines Comparison
Using API Triggers with Claude Code Routines
Real-World AI Dashboard Scheduling Test
Detailed Results: Gemini vs. Claude vs. ChatGPT
Key Takeaways for Best Automated Scheduling
Practical 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…
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Ep 838: Rogue AI Agents: Why Breakouts are Happening More and How Companies Should Prepare
11 augustus 2026 · 44 min
If you’re reading the headlines, you’d think AI agents have gone rogue. Lees meer
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 Wilson
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Today's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedInTopics Covered in This Episode:
Rogue AI Agent Breakouts Overview
Lab Sandbox vs. Real-World Agent Crashes
Six Recent AI Agent Outbreak Incidents
OpenAI Model Hacking Hugging Face Explained
Anthropic Mythos Model Sandbox Escape
Controlled AI Agent Experiments and Failures
Open Source AI Agents Threat Timeline
Business Risk Preparation for Rogue AI Agents
Monday 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 A…