Everyday AI Podcast – An AI and ChatGPT Podcast

Latest Episodes:

Ep 863: Agentic Context Carry: 3 Steps to Improve Cowork and scheduled AI Workflows (Start Here Series Vol 22) Sep 16, 2026

Show notes

Info hunting and juggling sound familiar?
It’s the downfall of almost any business leader. Where is that email from Emily? Why can’t I find last quarter’s budget in Drive? Oh, and Keenen needs an answer back on that research project. Oh shoot, I swear Caleb confirmed the expenses in one of these Slack channels.
You’re off an information rabbit hole and by the time you find that Slack message, you already forgot what Emily’s email said.
Hit home? Well, as AI models expand to Coworking and Scheduled agents, we have a new best friend that doesn’t really have a name.
(Until we randomly named it. Lolz)
Scheduled Agentic Context Carry. You need to know what it is, why it’s important, and how to use it.
We’ll dive in.

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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 LinkedIn

Topics 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 basics

30:51 Debugging and reviewing schedules

33:08 Building automated workflows this quarter

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Ep 862: AI Change Management That Works: 5 Moves The Top 5% Make (Start Here Series Vol 21) Sep 15, 2026

Show notes

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

Topics 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 strategies, AI transformation, enterprise AI ROI,

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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) Sep 14, 2026

Show notes

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

Topics 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 psychosis, WAIF, weaponized authority, accidental deskilling, agent bun sandwich,

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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) Sep 11, 2026

Show notes

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

Topics 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, business workflow automation, AI models, AI performance benchmark, industry professionals, Frontier

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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) Sep 10, 2026

Show notes

Is Vibe Coding dying already?
Or, is will it be as essential to the next decade of work as the browser was for the past 20 years?
And how can your company balance the speed and innovation side of vibe coding without accidentally leaking data or building a product that breaks more often than it works?
We'll break down the basics on this Start Here Series deep(ish) dive into Vibe Coding.
The Vibe Coding Boom: Why Vibe Coding isn't Going Away and How it's Both Good and Bad -- An Everyday AI Chat with Jordan 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 LinkedIn

Topics 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 agents, command line interface 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) Sep 09, 2026

Show notes

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

Topics 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 pilot stage, regulatory compliance, AI regulation, EU AI Act, high-risk AI, AI lawsuits, billion dollar AI lawsuits, AI discrimination

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Ep 857: From Chatbots to Super Agents: The 11 AI Tool Categories Explained (Start Here Series Ep 16) Sep 08, 2026

Show notes

Most people are either using too many AI tools or not enough.
The real problem?
Not understanding the categories and capabilities of the main AI tools that matter. And with constant updates, it's pretty much impossible to get a decent lay of the AI land.
We're changing that with this episode: From Chatbots to Super Agents: The 11 AI Tool Categories Explained -- An Everyday AI Chat With Jordan Wilson

Topics 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 and speech AI, speech to text, text to speech, image generation, diffusion models, video generation, Sora, wor

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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) Sep 04, 2026

Show notes

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

Topics 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 expertise, context engineering, content detection,

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Ep 855: AI Governance in Plain English: 5 AI Rules Every Company Needs to follow (Start Here Series Vol 14) Sep 04, 2026

Show notes

Pop quiz: If your company's agents go off the rails, can you confidently name the human at fault in 10 seconds?

Prolly not.

Because lately, companies have spent more energy on going fast and breaking things instead of governance.

Ready for the ironic part? People think AI governance slows you down. But, it actually speeds you up.

Join us as we give you the 101 on AI Governance and the 5 AI Rules Every Company Needs to Follow.

AI Governance in Plain English: 5 AI Rules Every Company Needs to follow -- An Everyday AI Chat with Jordan Wilson

Topics 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 governance, agentic AI, autonomous AI, AI use cases, AI adoption, AI inventory, shadow AI, shadow AI breaches, AI sprawl, AI tools, AI transformation, AI policy, AI playbooks, risk classification, AI risk tiers, unacceptable risk, high risk AI, minimal risk AI, limited risk AI, human review in AI, AI agent crash, clear ownership in AI, cross functional committee, AI responsibility, domain expertise, AI user, data breaches, ROI on AI, AI impact tracking, AI training, scaling AI governance

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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) Sep 02, 2026

Show notes

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

Topics 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,

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