Explorez tous les épisodes du podcast Early Adoptr: Simplifying AI For Founders & Small Businesses
| Titre | Date | Durée | |
|---|---|---|---|
| Just Because You CAN Vibe Code....SHOULD You Vibe Code? (w/ Sean Bhardwaj) | 29 Jul 2026 | 01:06:51 | |
Vibe coding can build you almost anything now. A customer database, a little internal tool, a whole CRM in an afternoon. But some of those things could land you in a world of GDPR pain, and one or two you should never build at all. In this final episode of the vibe coding series, Jess and Kyle are joined again by Sean Bhardwaj to work out where the line sits for a non-technical founder. They get into why building has become the easy part while distribution (aka getting people to actually use what you make) is still the hard part. They cover what belongs in the never-vibe-code pile, how much time it really takes to learn this properly, and why the answer to whether you should comes down to what you are actually trying to do. How to find Sean Bhardwaj: Vibe Coding Series:
What You'll Learn
Use these links for a discount on the tools we recommend (and it supports the pod!)
Timestamps: 00:43 Introduction 05:22 Wrapping the Vibe Coding Series 07:50 AI in the News: AI Models Break Out of a Sandbox and Hack Hugging Face 13:25 Welcome Back Sean: And We Ask the Big Question: Should You Vibe Code? 16:29 Why Building Is Easy Now and Distribution Is the Hard Part 21:38 The Security and Data Risk of Vibe Coding 24:33 Why Vibe Coding Still Needs Human Judgement 26:59 Open Source vs Vibe-Coded: The CRM Example 28:43 What You Should Never Vibe Code 29:59 Governance, AI Policy and When an Agent Goes Rogue 34:43 How to Learn Vibe Coding Without Clearing Your Calendar 40:34 Rolling AI Out Across a Whole Organisation 48:19 You're Not Behind: AI Hype, ROI and Adoption 53:45 Should Non-Technical Founders Just Stay in Cowork? 58:43 Building Is No Longer the Bottleneck, Distribution Is 01:00:56 Can Anyone Vibe Code? The Final Verdicts 01:04:12 Final Reflections on the Vibe Coding Series Research:
Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Vibe Coding: What to Do After the App Is Built | 22 Jul 2026 | 00:56:07 | |
So you've vibe coded an app....now what? Vibe coding gives almost anyone the ability to build a working app in an afternoon. In fact, around 63% of people building this way right now have no coding background at all. But once that app is live, the job of keeping it secure, monitored, and running for real users is as hard as it has always been, and if you don't know what you're looking for, you can open yourself to all sorts of risk. In this episode, Jess and Kyle cover what it actually takes to keep an AI-built app safe and running once it's in front of real users. They break down the concept of vibe slop, what type of security risks are common for vibe-coded apps, and the operational layer that sits between deploying an app and running it safely, including configuration, access control, monitoring, and dependencies. They also walk through a security checklist you can run before anyone else uses what you've built, and more importantly, when it's time to hand what you've built over to a professional. What You'll Learn
Use these links for a discount on the tools we recommend (and it supports the pod!)
Timestamps: 00:00 Intro 04:44 Why Building With AI Is the Easy Part 07:01 What Vibe Coding Actually Builds 09:32 Vibe Slop: Why AI-Generated Code Isn't Ready to Launch 12:24 Security Risks Vibe Coders Typically Miss 15:17 What Maintaining a Vibe-Coded App Actually Involves 16:17 How Real Users Actually Use a Vibe-Coded App 18:00 The Hidden Layers of App Development 20:59 Deployment vs Configuration: The Key Differences 23:45 Access Control: Who Can Actually See Your Users' Data 25:37 App Monitoring: How to Spot Problems in Your AI-Built App 28:51 Dependencies: The Third-Party Code Running Inside Your App 34:04 AI's Role in Development: Confidence vs Reality 37:53 The Five-Step Security Checklist for AI-Built Apps 40:33 Version Control and Rollbacks: How to Protect What You've Built 43:52 When to Call a Developer: The Signs Your App Has Outgrown You 47:07 Ongoing Maintenance: Keeping Your Vibe-Coded App Safe Over Time 49:29 Key Takeaways for Safe Development 53:37 Wrapping up for the Week 54:09 AI in the News: Apple vs OpenAI and Paying Twice for AI RESEARCH:
Get in Touch TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr LinkedIn: https://www.linkedin.com/company/early-adoptr/ Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| A Year in AI: What Changed, What We Got Wrong, and What's Coming Next | 20 May 2026 | 00:58:22 | |
A year in AI doesn't feel like a normal year, it feels like about five. The AI landscape has shifted faster in the last twelve months than most businesses could track, let alone act on. For Early Adoptr's first anniversary, we're taking the opportunity to map what actually changed: the model landscape, the rise of MCP, what happened to agents, and what's worth paying attention to in the next twelve months. We close out with a look ahead at what's actually worth paying attention to: outcome-based pricing, orchestrated multi-agent systems reaching smaller businesses, and what we're calling agent debt, the accumulating consequences of workflows that were built in a hurry and haven't been stress-tested yet. Thanks for being with us for the last year, and here's to the next 12 months!
All previous episodes of Early Adoptr can be found here or via your podcast player of choice: https://shows.acast.com/early-adoptr Timestamps: 00:00 What We've Been Up to This Week 04:14 One Year of Early Adoptr: What We Got Right (and Wrong) 06:27 The Model Landscape: Why ChatGPT Lost the Top Spot 11:01 AI Pricing Is Changing — and Your Bill Is Going Up 16:20 Context Windows: From Headache to Non-Issue 20:03 When Smaller Is Better: The Case for Specialist AI Tools 20:35 Use Cases for Small Language Models 22:53 Agents: From Conference Buzzword to Actually Useful 29:02 What MCP Did for the Agent Ecosystem 31:29 Agentic Commerce and the Two-Tier Internet 37:55 How Brands Are Using AI for Discovery Without Losing the Customer 39:05 AI Security: How the Risk Picture Changed When Agents Got Real Access 44:17 Prompt Injection, Data Leaks, and What to Actually Watch For 48:26 From Subscriptions to Outcome-Based Pricing 50:22 AI Regulation, Memory, and the GDPR Question Nobody's Asking Yet 52:20 The Agent Debt Problem 56:12 What's Worth Watching: AI Predictions for the Next 12 Months Get in Touch: TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| What Should You Actually Be Asking About AI? | 13 May 2026 | 00:46:51 | |
Most people start their AI journey by asking how to save time. That is not a wrong question — but Anthropic's latest research, based on open-ended interviews with over 81,000 Claude users across 159 countries, suggests it may not be the most important one. The most commonly reported productivity gain in the study was not speed. It was scope. Not doing existing work faster, but doing things that you simply couldn't before, because of budget, skills, or just the assumption that certain capabilities belonged to someone else. This episode is about the difference between saving time with the boring middle and asking what is now possible that wasn't before, and why that second question is where the real opportunity lies. What You'll Learn
If you've ever sat in a meeting, taken what felt like decent notes, and then opened them afterwards and they didn't capture anything, Granola is the tool for you. It runs in the background, captures everything, and turns your notes into something you can actually use. Both Jess and Kyle use it, it plays really nicely with Claude, and it is one of our most highly recommended tools New users get 100% off their first month using our link: granola.ai?via=early-adoptr Timestamps: 00:00 Introduction and Travel Plans 01:37 About the Anthropic Research 03:37 How the Study Actually Worked 07:36 The Headline Productivity Stat 10:35 The Four Types of Productivity Gain from AI 11:54 What the Data Says About Job Displacement 13:32 The Efficiency Game: What It Gets You and What It Misses 16:45 Why Automating the Wrong Things Makes You Faster at the Wrong Things 21:27 The Boring Middle: Why Consistency Is the Point 25:00 Capability Gains: Doing Things That Were Previously Off the Table 28:54 The Wrong Question: Efficiency vs. Capability 31:39 How Efficiency and Capability Feed Into Each Other 35:09 Practical Takeaways: What to Try This Week 38:09 AI News of the Week: Lessons from Pocket OS Incident Resources:
Get in Touch: TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr
Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| What It Really Takes to Move Your Team Forward With AI (w/ Rob Webster) | 06 May 2026 | 00:40:04 | |
This is the second part of our interview with Rob Webster, who has spent over 20 years in media and marketing, ran data and technology at MediaCom for some of the world's biggest brands, built and sold a MarTech and AdTech consultancy, and now works with enterprise businesses on how they actually adopt AI. In this episode, Jess and Kyle talk to Rob about everything from navigating the messy middle to what the future of work for juniors, where AI should play in your business, what it means for how you hire and develop people, why so many organisations are stuck between experimenting and scaling, and what it actually takes to move forward. We also cover the OpenAI vs Elon Musk trial, and how South Africa's AI Policy offers a useful reminder to always check your citations. What You'll Learn
If you've ever sat in a meeting, taken what felt like decent notes, and then opened them afterwards and they didn't capture anything, Granola is the tool for you. It runs in the background, captures everything, and turns your notes into something you can actually use. Both Jess and Kyle use it, it plays really nicely with Claude, and it is one of our most highly recommended tools New users get 100% off their first month using our link: granola.ai?via=early-adoptr Timestamps: 00:00 Intro & What We've Been Up To 04:09 The 10,000 Foot View: Why You Should Start Broad Before Picking an AI Use Case 10:42 What AI Means for Hiring and Training Junior Employees 14:55 Why Smaller Businesses Can Now Compete on Talent Development 16:20 Human in the Loop: Why Oversight Still Matters 19:35 The Messy Middle: Why Most Businesses Get Stuck Between Testing and Scaling 23:17 How Leaders Can Drive AI Adoption 34:02 AI News of the Week: OpenAI vs Elon Musk 34:31 AI Gone Wrong: South Africa's AI Policy Debacle 37:55 Wrapping Up for the Week Resources:
TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Stop Building AI Agents the Hard Way: Lessons from 25 Years in AI (w/ Rob Webster) | 29 Apr 2026 | 00:51:53 | |
It's here! The culmination of our series on agents, and if you've ever wondered how to make the most of the AI agents in your business (without a huge budget or a team of developers), this is the episode for you. This week on Early Adoptr, we are joined by Rob Webster, who has spent 25 years working at the intersection of data, machine learning, and marketing, including working on data and technology for brands like Dell, Tesco, and Coca-Cola. He now runs Tau Marketing Solutions, where he helps businesses adopt AI and build agents to solve real marketing problems. In this episode he joins Jess and Kyle and shares everything he has learned about making agents that actually work. From the "Fisher Price Agent" to building a daily action plan, the four components every working agent needs and why most agents fail, this episode is a goldmine of tips from years of experience. We also cover a major deal between SpaceX and Cursor, and what it tells us about where the real competition in AI is playing out right now. What You'll Learn
If you've ever sat in a meeting, taken what felt like decent notes, and then opened them afterwards and they didn't capture anything, Granola is the tool for you. It runs in the background, captures everything, and turns your notes into something you can actually use. Both Jess and Kyle use it, it plays really nicely with Claude, and it is one of our most highly recommended tools New users get 100% off their first month using our link: granola.ai?via=early-adoptr Timestamps: 00:00 What We've Been Up to This Week 03:16 Interview with Robert Webster 05:07 AI News: SpaceX and Cursor Deal 05:47 Meet Rob Webster 10:51 The Two-Prompt Method: Going from Vague Goal to Concrete Plan 13:28 The Four Components Every Working Agent Needs 18:14 Why Knowing What Good Looks Like Is the Real Skill 20:26 Human-in-the-Loop in Practice 26:20 Building a Co-CEO Agent: From Fisher Price to Advanced 33:01 Where to Start If You Are Not Technical 37:42 Takeaways 40:07 AI News of the Week: SpaceX & Cursor Resources:
TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| AI Agents Explained Through One Real Business Use Case | 22 Apr 2026 | 00:59:26 | |
A new client signs...congrats, you're excited! And then the onboarding begins process with all the tedious tasks: folder creation, the welcome email, the kickoff scheduling, the project setup, the intake form you'll need to chase twice. None of it is difficult, all of it takes time, and it always seems to happen at the exact moment you're least available to do it well. This week on Early Adoptr, we walk one real, familiar business process through every single rung of the Ladder of Autonomy, from fully manual through to fully autonomous, using real examples at each stage. By the end, you'll know what each level actually looks like in practice, which rung your current setup sits on, and what a realistic next step looks like for your business. This is episode three in Early Adoptr's ongoing series on AI agents. If you haven't listened to our previous episodes (links below), it's worth starting there. What is an AI Agent: https://shows.acast.com/early-adoptr/episodes/what-is-an-ai-agent-a-plain-english-guide-for-business-owner AI Agent Frameworks Explained: https://shows.acast.com/early-adoptr/episodes/ai-agent-frameworks-explained-the-five-things-every-agent-sy
If you've ever sat in a meeting, taken what felt like decent notes, and then opened them afterwards and they didn't capture anything, Granola is the tool for you. It runs in the background, captures everything, and turns your notes into something you can actually use. Both Jess and Kyle use it, it plays really nicely with Claude, and it is one of our most highly recommended tools New users get 100% off their first month using our link: granola.ai?via=early-adoptr Timestamps: 00:00 What We've Been Up to This Week 03:46 Exploring Client Onboarding and Automation 07:27 The Ladder of Autonomy: A Quick Recap 13:11 Before You Start: Why Workflow Mapping Comes First 14:55 Rung One: Basic Automation and Where It Falls Apart 20:32 Rung Two: Adding AI Into Your Onboarding Workflow 28:41 Rung Three: Handing the Agent a Goal, Not a Task 39:19 Rung Four: Full Autonomy and What Can Go Wrong 47:08 Your Action Plan: How to Start Without Overcomplicating It 51:57 AI News of the Week: Anthropic Launches Claude Design & Allbirds AI Pivot Follow Us: Email: hello@earlyadoptr.ai LinkedIn: https://www.linkedin.com/company/early-adoptr/ TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr Resources:
Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| AI Agent Frameworks Explained: The Five Things Every Agent System Needs | 15 Apr 2026 | 01:02:38 | |
Most business owners have heard the word "framework" thrown around a lot lately and filed it under "probably technical, not my problem." In this episode, we make the case that it is your problem, not because you need to build one, but because understanding what a framework actually does is what helps you evaluate any agent tool being pitched to you, spot where an agentic workflow is likely to break down, and make smarter decisions about what to hand over and what to keep human.Most business owners have heard the word "framework" thrown around a lot lately and filed it under "probably technical, not my problem." In this episode, we make the case that it is your problem, not because you need to build one, but because understanding what a framework actually does is what helps you evaluate any agent tool, spot where an agentic workflow is likely to break down, and make smarter decisions about what to hand over and what to keep human. In this episode, Jess and Kyle walk through a complete practical example, that shows how you move from writing down your decision logic to deploying a real working agent, step by step.
If you've ever sat in a meeting, taken what felt like decent notes, and then opened them afterwards and they didn't capture anything, Granola is the tool for you. It runs in the background, captures everything, and turns your notes into something you can actually use. Both Jess and Kyle use it, it plays really nicely with Claude, and it is one of our most highly recommended tools New users get 100% off their first month using our link: granola.ai?via=early-adoptr Timestamps: 00:00 Introduction and Personal Updates 06:42 Recapping AI Agents and the Ladder of Autonomy 12:07 Frameworks 101: The Five Capabilities Every Agent Needs 18:41 How Framework Design Affects Performance and Cost 19:20 Frameworks vs. Capabilities in Agent Systems 25:40 How to Get Started with Frameworks: A Five-Stage Path 40:10 Real-World Example: Automating Inbound Sales Enquiries 47:52 Safety Considerations in Agent Use 50:21 Key Takeaways for Agent Frameworks 52:28 AI News of the Week: Claude Mythos and Third-Party Harnesses 58:42 AI Gone Wrong : Meta's Expensive Model Mistake Instagram: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr LinkedIn: https://linkedin.com/company/early-adoptr Resources: https://linktr.ee/early_adoptr 📩 hello@earlyadoptr.ai Resources:
Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| What Is an AI Agent? A Plain-English Guide for Business Owners | 08 Apr 2026 | 01:01:15 | |
"AI Agent" has become one of those phrases that means everything and nothing depending on who's using it. It gets attached to basic customer service bots, to tools running overnight making business decisions, and to everything in between. And then there's "agentic AI," which most people use interchangeably with "AI agent" but shouldn't. If you've been nodding along while wondering what actually separates any of these things from a very clever chatbot, this episode is for you. In this episode, Jess and Kyle revisit the basics of AI agents: what an AI agent actually is, what makes something agentic, why those two things are different, and a much needed update to our Ladder of Autonomy, the framework that helps you figure out which level of AI autonomy actually makes sense for your business right now. This is part one of a multi-part series on AI agents and agentic AI.
If you've ever sat in a meeting, taken what felt like decent notes, and then opened them afterwards and they didn't capture anything, Granola is the tool for you. It runs in the background, captures everything, and turns your notes into something you can actually use. Both Jess and Kyle use it, it plays really nicely with Claude, and it is one of our most highly recommended tools New users get 100% off their first month using our link: granola.ai?via=early-adoptr Timestamps: 00:00 What We've Been Up To 04:25 Why we're revisiting agents 07:26 What Is an AI agent? 11:11 LLMs vs agents: understanding what each component does 12:29 From demos to deployment: where agents actually stand right now 16:20 Will AI agents be reliable by 2035? What the experts are saying 17:11 AI adoption and the digitally native advantage 18:17 What is the difference between an AI agent and agentic AI? 19:56 Agents vs orchestrators 25:27 The Ladder of Autonomy: a framework for understanding AI capability 26:25 Rung 1: Basic Workflows and Automations 29:06 Rung 2: Task Agents and Their Capabilities 30:49 Rung 3: Outcome-Based Task Management 36:18 Rung 4: The Future of Agentic AI 39:51 Why most agent failures are setup problems, not AI problems 41:40 Which rung of the autonomy ladder is right for your business? 43:38 Pros of AI agents for small business: what actually holds up 46:32 Cons of AI agents: what to watch out for before you deploy 46:57 How to avoid the most common AI agent failure modes 50:31 The most important question to ask before building any AI agent workflow 51:24 AI News of the Week: Anthropic's Code Leak 📲 **FOLLOW EARLY ADOPTR** Email: hello@earlyadoptr.ai Instagram: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr LinkedIn: https://linkedin.com/company/early-adoptr Resources: https://linktr.ee/early_adoptr Resources:
Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Claude Skills Explained: How to Stop Repeating Yourself in Every Session | 01 Apr 2026 | 00:59:36 | |
Claude Skills is one of the most useful features available to Claude users right now, and solves something that you almost definitely have encountered. You start a new conversation, and Claude has no idea how you like things done. You end up re-explaining your tone, pasting in your brand guidelines, or manually correcting the output back into something that actually sounds like you. Every. Single. Time. Claude Skills fixes that but allowing you to build your preferences, your rules, your formats, and your style into a reusable package that Claude can pull in automatically whenever it is relevant. Set it up once, and stop repeating yourself. In this episode, Kyle and Jess break down what Skills actually are, how they sit alongside Model Context Protocol (MCP), and the pros and cons. They also get into where to find pre-built Skills, how to build your own without any technical knowledge, and what to watch out for when you are browsing the public marketplaces. If you're fed up with constantly repeating yourself to Claude, this is the episode for you. PS. Kyle's audio is a little weird on this one, apologies in advance! What You'll Learn
If you've ever sat in a meeting, taken what felt like decent notes, and then opened them afterwards and they didn't capture anything, Granola is the tool for you. It runs in the background, captures everything, and turns your notes into something you can actually use. Both Jess and Kyle use it, it plays really nicely with Claude, and it is one of our most highly recommended tools New users get 100% off their first month using our link: granola.ai?via=early-adoptr Timestamps: 00:00 Introduction and Weekly Updates 04:19 Quick Recap: What Model Context Protocol (MCP) Does and Why Skills Come Next 06:28 What Are Claude Skills and Why Do They Matter 11:17 Inside a Skill: How It Is Built and How It Knows When to Activat 16:51 Where to Find Skills and How to Install Them Without Any Technical Knowledge 17:59 Memory, Projects, and Skills: Which One Does What 20:21 Projects vs Skills: How to Use Both Without Getting Confused 24:09 Where to Find Skills: Build vs Pre-made 26:50 Free, Portable, and Consistent: The Pros of Claude Skills 30:18 Skills Are Not Perfect: The Limitations Worth Knowing About 35:27 Real Business Use Cases: Brand Voice, Sales Prep, and More 42:39 Getting Started with Claude Skills: Tips and Tricks 46:14 AI News of the Week: Sora and OpenAI's SuperApp 55:12 AI Gone Wrong: Robot Hot Pot Chaos Resources:
Follow Us: Email: hello@earlyadoptr.ai TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr LinkedIn: @early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Model Context Protocol (MCP): How to Connect AI to Your Business Tools Safely | 25 Mar 2026 | 00:53:26 | |
MCP — Model Context Protocol — is the AI infrastructure that's quickly becoming the key layer underneath almost every serious AI setup. It's a big part of why AI is shifting from something where you copy and paste from one tab to the other, to something that actually can act on your behalf, and is the foundation that makes agentic AI possible. Last week in part one of this series, we covered the what MCP is and why it's such a big deal. In part two, we get into what MCP actually looks like in practice, from the easy non-technical entry points (no technical knowledge required!) already built into Claude to automation tools like Zapier to Kyle's own more advanced setup that allows you to have plain-English conversation with your business data in 30 minutes. We cover a range of options so you can find the right starting point for where you are right now, and understand how far you can take it from there. If you are a founder, operator or small business owners who is tired of manually looking at data across all your different systems and tools, this is the episode for you. What You Will Learn
If you've ever sat in a meeting, taken what felt like decent notes, and then opened them afterwards and they didn't capture anything, Granola is the tool for you. It runs in the background, captures everything, and turns your notes into something you can actually use. Both Jess and Kyle use it, it plays really nicely with Claude, and it is one of our most highly recommended tools New users get 100% off their first month using our link: granola.ai?via=early-adoptr Timestamps: 00:00 What We've Been Up To This Week 04:43 What Is MCP and Why Does It Matter? A Quick Recap 08:58 Why AI Agents Need MCP to Actually Be Useful 11:28 The Easy Wins: MCP Connectors Already Built Into Claude 18:12 Zapier, n8n and Make: The Next Step Up 23:40 The Advanced Setup: Talking to Your Data Warehouse With Claude 26:28 The Problem MCP Solves: Getting Answers Without a Developer 28:47 Asking Your Data Questions in Plain English 32:41 Democratizing Data Analysis for All Businesses 34:33 Garbage In, Garbage Out: Why Clean Data Still Matters 36:31 Having a Real Conversation With Your Data: Memory and Context in Data Conversations 39:35 Pulling From Multiple Systems in a Single Question 42:27 Where MCP Is Heading in the Next 12 Months 47:03 AI News of the Week: What 81,000 Claude Users Actually Want From AI 49:06 AI Gone Wrong: The Importance of Human Oversight 52:34 Wrapping Up for the Week Get in Touch Email: hello@earlyadoptr.ai TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr LinkedIn: @early_adoptr Resources:
Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Model Context Protocol (MCP) for Business Owners: Pros, Cons and What It Is | 18 Mar 2026 | 00:56:30 | |
MCP — Model Context Protocol — is the open standard that is quickly becoming the infrastructure layer underneath almost every serious AI tool you will encounter in 2026. It's one of the main reasons that AI is shifting from something you consult to something that acts on your behalf. And like most big developments in this space, it has arrived with both significant opportunity and risks. In this episode, Kyle and Jess do a full deep dive into what MCP is, why the whole industry has moved on it faster than almost any standard in modern tech, and what the upside looks like for a small business that has never had access to serious AI integrations before. We also cover the cons including some new security risks. This is part one of two. This week we're tackling what it is, the pros, the cons and some quick wins to make sure you understand what you are dealing with before next week's episode gets into the practical setup, the safety framework, and Kyle's actual tech stack. If you are going to connect AI to your business systems — and increasingly, you will be — this is the episode to start with.
If you've ever sat in a meeting, taken what felt like decent notes, and then opened them afterwards and they didn't capture anything, Granola is the tool for you. It runs in the background, captures everything, and turns your notes into something you can actually use. Both Jess and Kyle use it, it plays really nicely with Claude, and it is one of our most highly recommended tools New users get 100% off their first month using our link: granola.ai?via=early-adoptr Timestamps: 00:00 What We've Been Up To 06:41 What Is Model Context Protol (MCP) and Why Is Everyone Suddenly Talking About It 17:34 Why MCP Is the Missing Piece for AI That Actually Does Things 22:40 The Real Advantages of MCP for Small Businesses 24:07 The Importance of Your Tool Integrations 27:05 Competitive Advantage through Connected Workflows 29:31 Pros of MCP 31:22 The Downsides to MCP 39:31 Best Practices for Safe MCP Implementation 42:26 AI News: Meta Acquires Molt Book 49:43 AI Gone Wrong: Amazon Pauses AI-Generated Code After Costly Outages Get in Touch Email: hello@earlyadoptr.ai TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Agentic Loops: The Engine Behind Vibe Coding | 15 Jul 2026 | 00:49:03 | |
Agentic loops are already running in your business. If you have given an AI tool a research question, walked away, and come back to a finished brief, you have used one. The same mechanism fires a payment reminder after checking whether an invoice has actually cleared, keeps Claude Code testing its own fix until the bug is gone, and sends meeting notes straight into your to-do list the moment a call ends. In this episode, Jess and Kyle get into how an agentic loop actually runs, how it connects to AI agents and AI workflow automation more broadly, and what separates it from a basic automation. They cover the three types of loop, the compounding maths of how a loop can get expensive fast, and how to build in the right amount of human oversight without losing what makes loops useful in the first place. This is also where the vibe coding series starts to pull together: everything covered so far, the tools, the project structures, the files and folders, has been setting up for this. We also cover the launch of the ChatGPT 5.6 models. Use these links for a discount on the tools we recommend (and it supports the pod!)
Vibe Coding Series:
What You'll Learn:
Timestamps: 00:50 Introduction and Personal Updates 07:36 What an Agentic Loop Is and Why It Powers Vibe Coding 11:01 The Three Things Every Loop Needs to Work 15:23 Scheduled, Event-Triggered, and Goal-Based: The Three Types of Loop 16:32 Loops vs Basic Automations 18:56 The Importance of Human In the Loop 20:43 Improving Your Loop Over Time 24:55 What loops look like in practice 30:52 What loops take off your plate 31:46 Where loops go wrong 36:46 The Importance of Oversight in Automation 37:43 Keeping Loops Simple and Effective 41:39 Practical Takeaways for Implementing Loops 45:11 News of the Week: ChatGPT 5.6 Models 47:05 What's next in the vibe coding series Resources:
Get in Touch TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr LinkedIn: https://www.linkedin.com/company/early-adoptr/ Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| How to Use OpenClaw Without Wrecking Your Digital Life: We Tested OpenClaw So You Don't Have To | 11 Mar 2026 | 01:00:07 | |
OpenClaw is one of the biggest AI stories of the year, and it is generating equal parts excitement and concern. Unlike every other AI tool you have probably used, it does not just respond to questions...it takes action. In this episode, Kyle and Jess get into what OpenClaw actually is, why the use cases are compelling enough that people are buying spare laptops just to run it, but (most importantly) why the security risks are serious enough that they were both nervous about discussing it at all. From prompt injection attacks to a skills marketplace where nearly one in seven tools has been found to contain malicious code, and a new category of threat called cognitive context theft — this is not a light risk profile. The episode exists because the tool is worth understanding, and because understanding the risks is the only responsible way to approach it. This episode is slightly more technical than most, and that is intentional. The goal is not to scare you off, but to make sure that if you do decide to experiment with OpenClaw, you know exactly what you are handing over and how to protect yourself.
If you've ever sat in a meeting, taken what felt like decent notes, and then opened them afterwards and they didn't capture anything, Granola is the tool for you. It runs in the background, captures everything, and turns your notes into something you can actually use. Both Jess and Kyle use it, it plays really nicely with Claude, and it is one of our most highly recommended tools New users get 100% off their first month using our link: granola.ai?via=early-adoptr 00:00 Introduction and What We've Been Up to This Week 02:33 What Is OpenClaw and Why Is Everyone Talking About It? 05:17 Understanding OpenClaw: How OpenClaw Actually Works 08:05 OpenClaw vs. Cloud Cowork: Key Differences 10:55 Exploring OpenClaw's Skills System 13:26 Use Cases and Potential Applications of OpenClaw 16:28 Pros of Using OpenClaw 19:13 Cons of Using OpenClaw 21:40 Final Thoughts on OpenClaw 28:17 Cons of OpenClaw 36:49 Practical Guidance for Safe Usage 47:54 Framework for Safe OpenClaw Usage 50:32 AI News of the Week: Perplexity Launches Perplexity Computer 54:30 AI Gone Wrong: Woolworth's Chat Bot 57:54 Wrapping up for the week Email: hello@earlyadoptr.ai Follow us: @early_adoptr on TikTok, Instagram, YouTube, and LinkedIn Resources:
Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| So You're Thinking of Breaking Up with ChatGPT: A Practical Guide to the Alternatives | 04 Mar 2026 | 00:54:50 | |
The QuitGPT movement has been spreading across Reddit and Instagram, with people canceling their ChatGPT subscriptions for reasons ranging from political concerns to product frustration to simple curiosity about what else is out there. Whatever you think of the movement itself, it has done something actually useful: it has made a lot of people stop and ask whether ChatGPT is actually the best tool for what they need. In this episode, Kyle and Jess break down four of the strongest ChatGPT alternatives — Perplexity, Gemini, Mistral, and Claude (yes, we know about DeepSeek and Grok and we have reasons for not covering them) — covering what each one is actually good at, who it is for, and where it falls short. This is not a ChatGPT takedown. It is a practical guide to understanding the alternatives, and why sometimes ChatGPT isn't the best tool for the job. If you are a founder, operator, or small business owner who has been defaulting to ChatGPT out of habit, this episode will help you make a more deliberate choice. For a deep dive into Claude Co-work, check out our recent episode - https://shows.acast.com/early-adoptr/episodes/claude-cowork-explained-can-ai-really-organize-your-files-an
Timestamps: 00:00 What We've Been Up To 03:18 So You're Thinking of Breaking Up with ChatGPT? 09:35 Perplexity: The Best AI Tool for Research 16:07 Google Gemini: The Strongest AI Option for Teams Already in Google Workspace 21:59 Mistral: The Best AI Choice for European Businesses and Regulated Industries 33:07 Claude: The Strongest AI Tool for Deep Analysis, Long Documents, and High-Stakes Work 37:23 Building Your AI Tech Stack 41:51 AI News: Anthropic's Safety Policy Shift 47:20 AI Gone Wrong: Robot Vacuum Army & Even AI Safety People Go Wrong 53:38 Wrapping Up Get in Touch TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr All links and resources: https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| The AI Adoption Gap: Why Some Businesses Are Pulling Ahead and How to Catch Up | 25 Feb 2026 | 01:02:46 | |
A new study from the National Bureau of Economic Research made headlines with a blunt claim: AI has had no measurable impact on productivity. Kyle and guest co-host Sean (filling in for Jess) do what most people never bother to do...they actually read the full 70-page report! What they find is far more interesting, and far more useful, than the headline suggests. Here's what the headline buried: firms with the highest productivity (measured by sales per employee) have AI adoption rates of around 80%. The lowest performers? Closer to 40%. Companies generating $500K per employee are nearly twice as likely to be using AI as those generating $10K. The gap is already widening, and it has nothing to do with which tools you're buying. This episode breaks down why flat productivity numbers are completely normal for a technology only three years into mainstream adoption, what history tells us about what comes next (spoiler: the Solow Paradox predicted this exact moment back in 1987), and why the organizations that move now are setting themselves up for the J-curve surge that's coming. It is not a story about failure. It is a story about timing, organizational readiness, and what you should be doing right now to be on the right side of that gap. If you are a founder, operator, or small business leader wondering whether AI is actually delivering (or whether you have been wasting your time_ this episode gives you the honest, grounded answer. Plus practical frameworks you can start using this week. Our guest this week is Sean, a partner at Breakthrough Growth Partners, where he advises founders, operators, and leadership teams on growth strategy and AI adoption. Website: https://breakthroughgrow.com
Timestamps: 00:00 Introduction 01:59 The NBER Study Everyone Misread (And What It Actually Says) 06:07 78% of US Firms Are Using AI — So Why Aren't We Seeing Results? 09:46 The Solow Paradox: We've Seen This Productivity Lag Before 13:20 High Performers vs. Low Performers: The AI Adoption Gap Is Already Widening 17:08 The Agility Gap: Why Smaller, Newer Companies Have the Upper Hand Right Now 20:43 AI and Job Losses: Separating the Real Data from the Corporate Narrative 24:26 What Happens When You Automate Away Entry-Level Roles 28:34 The J-Curve: Are We Finally Coming Out of the Dip? 32:05 Model Wars and Falling Prices: What Fierce AI Competition Means for Your Business 36:01 Same Cost, 10x the Capability: How to Think About AI Value Today 36:56 The Tool Is Becoming a Commodity — Your Implementation Strategy Is Not 37:54 Five Frameworks for Getting Real Productivity Gains from AI 39:36 The Three Frameworks That Turn AI From a Buzzword Into a Business Process 46:34 Is Your Business Ready for AI to Accelerate It — or Just Accelerate Its Problems? 50:15 The Productivity Surge Is Coming — Here's How to Be Ready When It Lands 51:06 AI News: OpenClaw Goes to OpenAI: What It Means for Agentic Security 56:36 AI Gone Wrong: Grok's Nutrition Initiative - A Case Study in Missing Guardrails Follow us: @early_adoptr on TikTok, Instagram, and YouTube All links and resources: https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Claude Cowork Explained: Can AI Really Organize Your Files and Data? | 18 Feb 2026 | 01:05:14 | |
Claude Cowork is generating serious buzz as Anthropic's latest feature, but the name undersells what it actually does. This isn't collaboration software, it's a desktop AI agent that can read, create, edit, organize, and manage files on your local computer through plain English instructions. In this episode, Kyle and guest co-host Sean break down what Claude Cowork actually is, how it works, and why it represents a major change in how we interact with AI tools. They explore what Cowork is, how it works, practical use cases and the real risks of giving AI access to your local files. We also cover the Super Bowl's AI advertising blitz and the spectacular failure of AI.com's $85 million launch.
Timestamps: 00:00 What We've Been Up to This Week 03:12 What is Claude Cowork and What Does It Actually Do? 06:45 Claude Cowork: Moving Up the Ladder of Autonomy 08:43 What Cowork Actually Does: Reading, Creating, and Organizing Files 10:46 The Infinite Intern Gets Smarter 13:19 How to Set Up Cowork 16:21 Why Cowork Only Sees What You Allow 18:02 Why Now? The Tech Behind Agentic Workflows for Non-Technical Users 27:35 Practical Cowork Use Cases 35:32 Should You Label AI-Generated Content? 36:17 AI Tools: Features vs. Products 36:59 What Are the Risks of Using Cowork? 44:58 Best Practices for Using Cowork 51:12 From Clicking Buttons to Describing Outcomes: The Shift in AI Interaction 53:05 AI News of the Week: The Super Bowl Hype Cycle 59:38 AI Gone Wrong: AI.com Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Understanding ChatGPT Apps: Where They Help, Where They Don’t, and Why | 11 Feb 2026 | 00:50:33 | |
ChatGPT “apps” have been getting a ton of hype since OpenAI opened submissions in December. The pitch is simple: this is the iPhone App Store moment for AI — build once, tap into hundreds of millions of users, and ride the distribution wave. In this episode, Jess and Kyle unpack what ChatGPT apps actually are (and what they aren’t). They break down the difference between apps, plugins, and custom GPTs, why the Apple comparison falls apart fast, and what the underlying architecture (MCP servers + in-chat widgets) means for builders who care about customer ownership, data, and monetization. We also cover the buzziest news story in a while: Moltbook and OpenClaw (formerly “Clawdbot”), the viral “agents social network” story.
TIMESTAMPS: 00:00 Introduction and Weekly Updates 06:41 ChatGPT App Store Launch and Overview 19:25 Understanding ChatGPT Apps vs. Plugins and Custom GPTs 28:57 The Model Context Protocol and Its Implications 33:00 The Future of AI Models and Ecosystems 36:05 Invisible Apps and Personal AI Agents 38:54 Navigating the ChatGPT App Submission Process 39:49 Exploring ChatGPT Apps for Users 43:02 Building ChatGPT Apps: Key Considerations 51:04 Evaluating the Viability of ChatGPT Apps 52:53 Moltbook and ClawdBot/Openclaw 📲 **FOLLOW EARLY ADOPTR** Email: hello@earlyadoptr.ai Instagram: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr LinkedIn: https://linkedin.com/company/early-adoptr Resources: https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Market Research on a Startup Budget : When to Trust Synthetic Data | 04 Feb 2026 | 01:04:36 | |
Synthetic data is often pitched as a shortcut around slow, expensive market research. In this episode, we break down when that promise holds, and when it falls apart. This week, we welcome our guest Lee Henshaw, founder and AI marketing guru, to share how he actually uses synthetic respondents in real business decisions. From testing pricing and sales messaging to simulating focus groups of UK media buyers and retail CMOs, Lee walks through what works, what doesn’t, and where founders can get into trouble if they over-trust the output. This episode introduces a practical, risk-based approach: use synthetics for speed and direction, validate with real people when the stakes are high, and design research around decisions, not curiosity. If you want better customer insight without a six-figure research budget, this episode shows what’s realistically possible right now. Listen to our previous episode for the basics on synthetic data - https://shows.acast.com/early-adoptr/episodes/synthetic-data-without-the-hype-practical-uses-and-real-risk Make sure to check out Lee's course on Maven:
Timestamps: 00:00 What We've Been Up to This Week 03:41 Synthetic Data Explained: A Quick, Practical Recap 07:45 Meet Lee Henshaw: Using AI for Real Market Research 10:28 “Brains in a Jar”: What Synthetic Respondents Actually Are 12:42 Predicting The Traitors With Synthetic Data 15:22 Pricing With Synthetic Focus Groups: A Real Synthetic Research Example 19:37 Talking to Retail CMOs Using Synthetic Focus Groups 23:20 Can You Trust Synthetic Data? Accuracy, Bias, and Validation 28:18 How to Build and Engineer Synthetic Respondent Audiences 31:44 Why Secondary Market Research Still Matters 35:15 Backward Market Research: Start With the Decision 38:57 Common Mistakes & Top Tips When Using Synthetic Respondents 50:16 AI News of the Week: World Models and What’s Next 01:00:31 AI Gone Wrong 01:03:29 Where to Find Us 📲 **FOLLOW EARLY ADOPTR** Email: hello@earlyadoptr.ai Instagram: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr LinkedIn: https://linkedin.com/company/early-adoptr Resources: https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Synthetic Data Without the Hype: Practical Uses and Real Risks | 28 Jan 2026 | 00:42:32 | |
Synthetic data is being pitched as the end of slow, expensive market research. And in some cases, it really can help: it’s useful for testing systems safely, generating options quickly, and reducing the cost of experimentation, especially for small teams. But “synthetic data” is used to describe two very different things. One is synthetic datasets (fake-but-realistic data for testing and privacy). The other is synthetic respondents (AI-simulated people used for market research), and confusing the two can be a major issue. In this episode, we break down where synthetic data works, where it breaks, and the guardrails founders should use so it accelerates learning instead of replacing it. Key Topics Covered
Timestamps: 00:00 Introduction and Personal Updates 04:53 What synthetic data actually is (and why it’s confusing) 09:07 Understanding Synthetic Data Definitions: datasets vs synthetic respondents 12:28 Why synthetic data is everywhere now: privacy, speed, and survey fatigue 15:03 Real World Use Cases: Where synthetic data already works outside of marketing 17:47 Synthetic Respondents: Opportunities and Challenges 18:14 How synthetic respondents simulate customer opinions 22:05 The Mark Ritson argument and the context you shouldn’t ignore 23:16 Downsides to Synthetic Data: bias, false confidence, and missing the signal 29:45 Guardrails for using synthetic data 32:04 Practical founder use cases: pricing, messaging, and segmentation 34:47 Cultural pushback against AI: San Diego Comic Con & Bandcamp 38:25 AI gone wrong: the Kafkaesque spelling fail 41:40 Wrapping up 📲 **FOLLOW EARLY ADOPTR** Email: hello@earlyadoptr.ai Instagram: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr LinkedIn: https://linkedin.com/company/early-adoptr Resources: https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| AI Video Tools Explained: Best Use Cases, Limits, and Risks | 21 Jan 2026 | 01:00:54 | |
AI video tools like Sora 2 and Nano Banana are finally crossing a line that earlier generations couldn’t: they don’t feel creepy anymore, and in some cases, they actually work! But “looking impressive” and “being useful” are two very different things. In this episode, we break down where AI video actually makes sense for founders (think: fast prototyping, early-stage demos, internal storytelling), and where it’s still more trouble than it’s worth. We talk through real business use cases, the hidden costs, the brand risks, and why these tools reward clear intention but punish sloppy thinking. The takeaway: AI video can save you time and money in the right context, but it’s not a free win, and it’s definitely not risk-free. Key Takeaways:
Timestamps: 00:00 What We've Been Up To This Week 05:48 AI Video: Useful Now, or Still Slop? 08:01 Sora 2: The Physics Upgrade That Makes It Watchable 16:48 Nano Banana: Gibberish Free Text (Finally!) 20:31 Real Use Cases: Headshots, Demos, Pitch Decks 29:27 Prompting for Video: Best Practice 37:47 Where It Breaks: Risks to Be Aware Of 39:34 Deepfakes, Watermarks, and Guardrails That Aren’t Perfect 42:51 Will People Hate This? The Trust & Transparency Test 49:20 This Week in AI: Microsoft, Apple × Google, Anthropic Cowork 55:16 AI Gone Wrong: The Weather Map That Invented Towns 58:20 Key Takeaways: AI Video Rewards Taste, Not Chaos 📲 **FOLLOW EARLY ADOPTR** Email: hello@earlyadoptr.ai Instagram: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr LinkedIn: https://linkedin.com/company/early-adoptr Resources: https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| The AI Bubble Question: Hype, ROI, and the Future of Tech | 14 Jan 2026 | 01:07:14 | |
We're back from the holidays, and we've got a doozy of an episode. The stock market is betting everything on AI, but many organizations are still struggling to turn it into real results. So what’s actually going on? In this episode of Early Adopter, Jess and Kyle welcome back Rich Welsh (founder, tech advisor, and VC investor) to unpack one of the biggest questions in tech right now: Is AI an overinflated bubble waiting to burst, or is capital simply flowing toward the people who know how to use it well? From Nvidia-driven market concentration to why startups are often outpacing large enterprises, Rich breaks down where AI is delivering genuine value, where hype is distorting reality, and how founders and investors should be thinking about the next phase of adoption. We go beyond the surface level takes to explore what happens when AI becomes business-critical, and what the risks are if expectations and reality don’t line up.
If AI underpins your operations and the market corrects, the impact won’t stop at valuations. It could affect funding, hiring, productivity....and everyone downstream. Whether you’re a founder, investor, or AI-curious operator, this episode will help you separate signal from noise and make more intentional decisions about where (and how) to to embrace AI. Early Adoptr Book Club: If Anyone Builds It, Everyone Dies - https://ifanyonebuildsit.com/ The Infinite Retina - https://www.amazon.com/Infinite-Retina-Computing-technologies-revolution/dp/1838824049 00:00 What We've Been Up To 05:34 Is There an AI Bubble? Separating Hype From Reality 08:25 Why AI ROI Is So Hard to Measure from an Investor's Perspective 11:14 Why Startups Are Winning With AI While Big Companies Struggle 13:56 What an AI Market Crash Would Mean 16:48 AI in Entertainment: Real ROI vs Studio-Scale Hype 27:33 The Next Phase of AI in Media, Gaming, and World-Building 35:48 From Large Language Models to World Models: What Comes Next 39:47 The Real AI Bubble: Where Expectations Break Down 51:35 How Founders Should Use AI in 2026 (Capital-Efficient Strategies) 57:37 AI News of the Week: CES Roundup 01:02:30 AI Gone Wrong: Bunnies on the Rampage 01:05:23 Wrapping Up for the Week Follow Us: Instagram: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr LinkedIn: https://linkedin.com/company/early-adoptr Resources: https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Holiday Rewind: Getting Cited, Not Ranked: A Practical Guide to AEO | 07 Jan 2026 | 01:04:18 | |
60% of searches now end without a click. If you’re still optimizing for Google rankings while your competitors are getting cited by ChatGPT, you’re already behind. We originally released this as a two-part series, but AEO is more urgent than ever. With Buy in ChatGPT and the rise of conversational commerce (see our previous episodes on this), the end game is clear: search → recommendation → checkout can happen without a single website visit. That means you don’t just lose the top of funnel or the click, you lose the entire purchase. That’s why we’re re-releasing both episodes together as one master AEO episode: the “why it matters” + the complete tactical framework. Answer Engine Optimization (AEO) — also known as GEO / GSO / AIO — is changing how customers find businesses. Instead of fighting for the #1 blue link, you need to become the source AI engines quote when someone asks a question. And now that purchases can happen inside ChatGPT? It's more important than ever. If you’re not in the AI answer, you don’t just lose traffic, you lose the sale.
00:00 We're Off for the Holidays! 03:11 SEO vs AEO (or GEO / AIO, etc etc) 06:43 The Zero-Click Era: How AI Answers Killed the Blue Link 10:51 Getting Cited, Not Ranked: The New Rules of Visibility 15:26 Behind the Algorithm: What Makes Content Citation-Worthy to AI 19:20 Spam Meets AI: Why Answer Engines Are About to Get Messy 19:51 How People Actually Talk to AI (And Why It Matters for Your Business) 20:52 The Shift to Conversational Search: How People Actually Talk to AI (And Why It Matters for Your Business) 23:54 Why AI Search Skips the Top of Your Funnel 26:27 Target vs. Traditional SEO: A Real-World AEO Success Story 29:52 The End Game: When Purchases Happen Inside ChatGPT 32:11 If You're Not in the AI Conversation, You're Invisible 33:17 Tracking the Untrackable: Measuring Citation Optimization 35:26 Let's Get Tactical! 35:28 The Three Pillars of AEO: Your Complete Framework 35:38 Pillar 1: On-Site Optimization - Making Your Website AI-Readable 46:41 Pillar 2: Off-Site Citation Building - Getting Mentioned Where It Matters 48:25 The Great SEO to AEO Shift: Why Smaller Brands Can Finally Win 50:21 Where to Build Citations: Reddit, YouTube & Beyond 57:43 Pillar 3: Measurement & Tracking - Proving This Actually Works 57:58 Free Tools to Track Your AEO Performance (Yes, Really Free) 01:00:29 Three Frameworks Every Business Needs Right Now 📱 Instagram: https://instagram.com/early_adoptr 🎵 TikTok: https://tiktok.com/@early_adoptr 💼 LinkedIn: https://linkedin.com/company/early-adoptr 🔗 Resources: https://linktr.ee/early_adoptr Have an AI story or question? 📩 hello@earlyadoptr.ai Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Claude Code Without the Code: A Non-Developer's Week in Review (w/ Sean Bhardwaj) | 08 Jul 2026 | 01:07:39 | |
Last week, Kyle and special guest Sean debated whether Claude Code is worth switching to if you don't know how to code. The answer was: it depends. So Sean spent the following week finding out. In this episode, it's the second part of our interview with Sean. Kyle and Sean to go through what actually happened when Sean used Claude Code for a week, including the modes that made Claude Code manageable, the controls that give you more say over how it works, and where it still falls short of Cowork for everyday work. Plus, Jess is back from Cannes Lions with a round-up of what the advertising industry is saying about where AI is heading. Vibe Coding Series: Part 1 of Sean's interview: https://shows.acast.com/early-adoptr/episodes/claude-code-vs-cowork-what-non-technical-founders-need-to-kn Basics of Vibe-coding: https://shows.acast.com/early-adoptr/episodes/vibe-coding-for-non-technical-founders-where-things-actually How to set up your files & folders for vibe-coding: https://shows.acast.com/early-adoptr/episodes/your-ai-keeps-forgetting-everything-heres-how-to-fix-it-w-ro How to find Sean: Use these links for a discount on the tools we recommend (and it supports the pod!)
In this episode:
Timestamps: 00:00 - Introduction, Cannes Lions and the Claude Fable 5 update 11:06 - What agents actually are in Claude Code 13:26 - Plan mode, thinking mode and auto mode 19:28 - How Claude Code can work on several things at once 27:26 - Making the most of your Claude Code usage 28:42 - Set it and forget it: monitoring with Claude Code 31:05 - Why batching your focus time matters 33:11 - Setting Claude Code to watch for something and act when it happens 35:39 - The Claude Code controls that give you more say over how it works 38:20 - How to stop Claude Code from using more than you need 41:13 - Cowork vs Claude Code: Sean's verdict 46:14 - Quick wins for non-technical users 47:28 - Why Sean made the switch 47:52 - One week in Claude Code: what actually happened 50:28 - How to check in on a running Claude Code session from your phone 53:20 - How skills work in Claude Code 56:09 - Why thinking through what you want before Claude starts gets better results 58:58 - When Claude Code overdoes it and Cowork is the simpler choice 01:02:07 - Where AI tools like Claude Code are heading next Get in Touch TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr LinkedIn: https://www.linkedin.com/company/early-adoptr/ www.earlyadoptr.ai Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Holiday Rewind: Your Laptop Can Run AI Now? Small Language Models (SLMs) 101 | 31 Dec 2025 | 00:56:44 | |
We’re off for the holidays, so this is a re-release + stitched double-episode focused on Small Language Models (SLMs) and how to actually use them. Kyle and Jess get hands-on with SLMs, showing you how to set up a private, local AI that runs on your laptop, and why that can be a smarter move than relying on cloud models for everything. If one episode is the “why” (specialist vs. generalist, cost, privacy), the other is the “how” (LM Studio walkthrough, using your documents locally, and real business workflows you can copy today). Whether you’re tired of hitting Claude rate limits, worried about privacy, or just want an AI assistant that doesn’t charge per query, this stitched re-release gives you a practical roadmap to going local.
Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Resources: https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Holiday Rewind: How to Get AI to Actually Do What You Want - Prompt Engineering That Doesn't Suck | 24 Dec 2025 | 00:44:49 | |
We're off for the holidays so this is a re-release of one of our most popular episodes. Kyle and Jess completely overhaul their most popular episode on prompt engineering, because GPT-5 isn't just faster than GPT-4 - it's fundamentally different. It follows instructions with "surgical precision," handles 800 pages of context at once, and will get confused if you give it contradictory prompts that older models would just ignore. Not to mention there's been a whole host of other updates to prompt engineering that deserve attention too. We dive deep into why role prompting (like "act as a marketing expert") is largely ineffective according to new research, introduce the game-changing 4C Framework that actually works with GPT-5's precision, and show you how few-shot prompting can boost accuracy from 0% to 90%. Whether you're frustrated with generic AI responses, wondering why your old prompts don't work as well anymore, or ready to master the communication skills that'll give you a massive competitive advantage, this episode is your roadmap to prompt engineering mastery in 2025. What You'll Learn:
05:00 Revisiting Prompt Engineering - Why It Matters 08:16 Prompt Engineering: How Is GPT-5 Different? 17:53 Updating Commonly Held Beliefs About Prompt Engineering 19:58 WTF is Shot Prompting and How Does It Help Write Better Prompts? 21:45 Why You Need to Prioritize Your Context in Prompt Engineering 22:36 Decomposition and Self-Criticism in Prompt Engineering 25:32 Introducing the 4Cs Framework (+P) of Prompt Engineering 34:23 Applying the 4C Framework in the Real World 56:09 Quick Wins for Effective Prompt Engineering: Updated Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Your IP in the AI Era: What Disney's Deal with Sora Means for Founders & SMBs | 17 Dec 2025 | 00:56:56 | |
Last week, Disney announced a billion-dollar deal with OpenAI to license 200+ characters into Sora. Everyone's treating this as Hollywood drama, but what Disney actually did is show every IP-based company, whether you're a global studio or a solo creator, the exact playbook for navigating AI. This week, we brought in our friend Rich Welsh to break it down from every angle at once. He's a Hollywood veteran, a startup founder, and now a VC investor. That combination means he's seen this industry from the creative side, the founder side, and the investment side, exactly the perspective you need to understand what's really happening here. We also break down McDonald's Netherlands pulling an AI Christmas ad after three days of backlash. Seven weeks of work. Ten people. Still looked terrible. That story matters more than you think. If you have any IP, whether that's characters, a brand, a body of work, or just ideas you care about protecting, this episode for you. We cover: * Why Disney licensed characters but carved out actor likenesses and voices * The structure that makes this deal work (scope, exclusivity, equity, distribution) * Why other studios and IP holders can't ignore this * User-generated content as engagement strategy * The guardrails problem: why they don't work, and what actually does * Rights management becoming a real commercial product 00:00 Introduction and What We've Been Up To 05:48 The Disney-Sora Announcement That Changes Everything 08:08 Welcome Rich Welsh 11:23 The Disney-Sora Deal Breakdown 16:03 Why Disney Wants User-Generated Content 19:09 First-Mover Advantage 26:58 The Guardrails Problem 33:16 Why Licensing Deals Are Winning Over Lawsuits 43:04 Checking In on the Creative Community 48:13 Practical Advice for Founders 51:06 AI Gone Wrong Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| The Vibe Coding Playbook: What to Use, What to Skip, and How to Dodge the Pitfalls | 10 Dec 2025 | 00:59:31 | |
Last week, we broke down what vibe coding is. This week, we break down the only question anyone actually cares about: “Okay… so what tool do I use?” The vibe coding ecosystem has gone crazy in the last 12 months, and the amount of choice is overwhelming. But here’s the real ones know: The tool matters way less than your structure....And that’s what this episode is really about. In this episode, we take you through a practical roadmap for building real software with AI, without sinking your project. We walk through the full stack of vibe coding tools, when to use IDE-based systems vs no-code platforms, why Claude Code is becoming the power-user favorite, and how product managers, designers, and marketers are shipping functioning apps in days. Plus: OpenAI hits a “code red,” Google catches up at an alarming pace, and Amazon face-plants with one of the worst AI dubs we’ve ever heard. IDE Tools:
No Code Tools:
CHAPTERS: 00:00 Introduction and What We've Been Up to This Week 04:46 Recapping Vibe Coding 07:15 So… Which Vibe Coding Tool Do I Actually Use? 09:28 IDE-Based Tools vs. No-Code Platforms 12:14 IDE Tools - Cursor vs. Windsurf 14:16 IDE Tools - Claude Code 20:05 No-Code Platforms: Bridging the Gap for Non-Developers 27:34 Choosing the Right Tool for You 31:51 Vibe Coding Best Practices 38:42 Identifying Pitfalls in Vibe Coding 39:00 Quick Primer: What’s a Markdown File? 39:39 Pitfall 1: Be Clear About What You Want 40:54 Pitfall 2: Schema Drift 43:05 Pitfall 3: Shared Architecture 45:38 Pitfall 4: Inconsistent UI Patterns 47:56 Pitfall 5: Pick One Tool & Stick With It 50:14 AI News of the Week: OpenAI's Code Red 54:49 AI Gone Wrong: Amazon's Dubbed Anime Email: hello@earlyadoptr.ai Instagram:https://instagram.com/early_adoptr TikTok:https://tiktok.com/@early_adoptr LinkedIn:https://linkedin.com/company/early-adoptr Resources:https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| The End of Coding As We Know It? A Deep Dive Into Vibe Coding | 03 Dec 2025 | 00:57:08 | |
Everyone keeps saying AI is transforming software development, but the real story is how vibe coding is quietly rewriting who gets to build in the first place. Over the past year, AI coding tools have gone from cute party tricks to fully agentic systems that can read your entire codebase, plan out multi-step tasks, and scaffold an entire app from a single prompt. But here’s the part that isn’t getting enough attention: vibe coding isn’t just about replacing developers. It’s changing what development is. And that shift is opening the door for founders, product managers, and designers to build software in ways that simply weren’t possible even 12 months ago. In this episode, Jess and Kyle break down what vibe coding actually looks like behind the scenes...the moments where it works, the moments where everything breaks spectacularly, and the very real need for human oversight in a world where AI can hallucinate your backend just as confidently as it writes it. This isn’t a hype episode about “AI building apps for you.” It’s a grounded look at how the workflow is evolving, what becomes defensible when everyone can build at the speed of thought, and how this shift is reshaping everything from MVP timelines to VC expectations. If you’ve been watching vibe coding from the sidelines, this is your sign to try it yourself. Not because it replaces expertise, but because it expands who gets to use it.
Plus:
TIMESTAMPS: 00:00 Thanksgiving Chaos 04:55 Kicking Off: What Is Vibe Coding Really? 08:43 Why “Vibes” Matter: The Core Idea Behind Vibe Coding 13:03 Inside a Vibe Coding Session: How It Actually Works 16:44 From Idea to App: Building Real Features With AI 18:20 The Human-in-the-Loop: Why Oversight Still Matters 21:10 Early Adventures in Vibe Coding: What Works and What Doesn't 22:44 How AI Coding Tools Leveled Up 25:24 Vibe Coding as a Paradigm Shift in Software Development 28:02 Can You Trust AI Code? 30:05 What This Means for Startups: Speed, Costs & MVPs 34:49 Innovation for Everyone: How AI Lowers the Barrier to Building 38:42 The New Startup Landscape: Easier to Build, Harder to Defend 41:44 Will Vibe Coding Replace Traditional Devs? 45:03 Big Takeaways: The Future of Building With AI 46:25 AI News of the Week: Big Trouble for OpenAI 51:15 AI Gone Wrong: Deloitte’s Fake Citations & Google’s Burnt Turkey Recipes Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| How to Prepare Your Business for AI Agents: A Practical Playbook | 26 Nov 2025 | 00:58:45 | |
In part two of our deep dive into agentic commerce, Jess brings back her colleague Nathalie Lethbridge to answer the question every SMB is asking: How do I prepare for a world where AI agents are the middlemen between customers and products? Last week, we explored the power struggle between Amazon's walled garden and OpenAI/Perplexity's open-web vision. This week, we get tactical. Nathalie walks through the practical framework for making your e-commerce site "agent-legible" - helping your products become visible and accessible to AI agents that will soon be shopping on behalf of customers. We cover structured data requirements, markdown optimization, compliance considerations, and why smaller businesses actually have an advantage over giants in this transition. Plus, this week's AI news includes TikTok's new controls for AI-generated content and a fascinating Silicon Valley moment where 300+ AI insiders publicly named the startups they'd short. 00:39 - Intro: Cold Snaps, Desk Chairs & Thanksgiving Prep 04:02 - Guest Welcome: Nathalie Lethbridge on Conversational Commerce 07:15 - The Power Struggle for Discovery: Walled Gardens vs. Open Web 12:40 - The Two-Tier Internet Explained: Why AI Agents Need a Different Web 18:05 - From Scrolling to Structured Data: How Agents Actually Shop 24:30 - Making Your E-Commerce Site "Agent-Legible": The Practical Playbook 31:15 - Compliance, Legal & Liability in the Agentic Era 37:45 - The SMB Advantage: Why You Can Move Faster Than Amazon 43:20 - Quick Wins: Immediate Actions for Your Business Now 48:41 - AI in the News: TikTok's Push Back Against AI Slop 54:19 - AI Gone Wrong: Silicon Valley Eats Its Own 58:43 - Next Week: Vibe Coding (Teaser & Closing) Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Why Amazon, Google, and OpenAI Are Fighting Over Your Next Purchase | 19 Nov 2025 | 00:58:31 | |
The agentic shopping wars are here. And nobody's paying attention yet. Amazon just sued Perplexity. Google just launched agentic shopping. OpenAI is rewriting how commerce works...all of it is aimed at the holiday season, and all of it means something fundamental about e-commerce is about to shift. But here's what's getting lost in the headlines: this isn't just about the tech. It's a legal story about who owns your customer relationship, amd a business model story about who controls the data. It's a fork in the road for SMBs between two very different futures - one where they're dependent on platforms, and one where they might finally level the playing field. The narrative says conversational commerce is the future of shopping. But what the platforms are really fighting about is whether you'll shop within their walls or whether you'll shop with an agent that can see everywhere. The winners won't be decided by technology. They'll be decided by who wins the lawsuit and who controls the infrastructure. In this episode:
Timestamps: 00:00 What We've Been Up to This Week 07:53 Welcoming Nathalie to the podcast 09:36 Shopping at the Point of Inspiration: What Conversational Commerce Actually Means 13:52 When AI Becomes Your Personal Shopping Assistant 14:11 Why Now? The Timing of Conversational Commerce 15:34 The Death of Shopping Friction 18:00 Follow the Money: Who Profits When AI Owns the Customer Relationship 19:31 Amazon vs. Perplexity: The Lawsuit That Could Reshape Retail 24:56 Walled Gardens vs. Open Rails: The Fork in the Road for Commerce 31:27 How Products Get Discovered Without Paid Ads 37:23 Google's Hybrid Approach to Shopping 40:53 Understanding the Two-Tier Internet 45:04 Navigating the New Landscape for SMEs 48:26 AI News: Yann LeCun's Departure from Meta 51:47 AI News: OpenAI Finally Fixes the Em Dash 55:52 AI Gone Wrong: When JPMorgan Let AI Judge Your Performance 📲 FOLLOW EARLY ADOPTR Email: hello@earlyadoptr.ai Instagram: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr LinkedIn: https://linkedin.com/company/early-adoptr Resources: https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| AI Can't Even Do 3% of Your Job - So Why Are Companies Laying Employees Off? | 12 Nov 2025 | 00:55:55 | |
The narrative is everywhere: AI is coming for your job. But here's what nobody's talking about. The data shows AI can't even complete 3% of professional tasks yet. So why are companies laying people off left and right? In this episode, Jess and Kyle untangle the messiest contradiction in tech: the gap between what AI companies claim their systems can do and what actually happens when they hit real work. This isn't a doomscroll episode about the end of work. We're looking at what's *actually* happening behind the headlines...the failed pilots, the rehiring sprees, the experts being paid record rates to train the AI systems that might replace them. And most importantly, it's about what *you* can do to position yourself for a world where AI is reshaping every role, not eliminating them. AI isn't ready for complex professional work yet. But companies are behaving as if it is. The winners will be professionals and organizations that understand this gap and use it strategically - investing in people, not cutting them, and building workflows where AI handles the repeatable and humans handle the judgment calls. If you're worried about AI taking your job, stop. Start worrying about how to work *with* it instead. **In this episode:** - The Mercor paradox: Why ex-surgeons and investment bankers are being paid premium rates to train their own replacement - What the Remote Labor Index actually revealed - Why Amazon is laying people off despite AI not being ready for prime time - The incentive misalignment that's tanking AI pilots everywhere - Why being "the person who verifies AI output" might be the most valuable skill in 2025 - Three actionable quick wins you can implement this week - whether you work for yourself or someone else - What the Amazon Rufus vs. Perplexity Comet battle reveals about the future of commerce - How a hockey coach used AI so badly it might explain why his team is 3-14 **Chapters:** 00:00 What We've Been Up to This Week 04:26 The Question Everyone's Asking: Will AI Take My Job? 08:06 The Paradox: Paying Professionals to Train Their Own Replacement 10:42 The CEO Narrative vs. Reality: Why Companies Lay Off Before AI Is Ready 12:56 The Remote Labor Index: What AI Actually Can't Do (Yet) 14:31 Layoffs Without the Capability to Back Them Up 21:53 When Good Intentions Meet Bad Incentives: Why AI Pilots Fail 22:07 The AI Gap: How Executives' Vision Clashes With Workers' Reality 23:32 How Successful Companies Actually Use AI 28:27 AI as an Advantage, Not Your Replacement 37:22 Building Your Personal AI Stack: The Tech Stack Every Professional Needs 39:40 The Irreplaceable Human: Why Judgment Still Beats Algorithms 41:12 AI News of the Week: Amazon's Rufus v Perplexity's Comet 47:30 AI Gone Wrong: When Sports Data Goes Bad 51:33 Quick Wins for the Week: AI Isn't Going Away - Here's Your Move **FOLLOW EARLY ADOPTR** Email: hello@earlyadoptr.ai Instagram: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr LinkedIn: https://linkedin.com/company/early-adoptr Resources: https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| How Conversational Commerce Will Change How We Shop | 05 Nov 2025 | 00:53:33 | |
Your entire e-commerce experience is about to change. OpenAI's "Buy with ChatGPT," introduced at the end of September, isn't just a shopping feature. It's the beginning of a complete overhaul of how digital commerce works. For the past 20 years, discovery, curation, and transaction have been fragmented across platforms, but now all of that is collapsing into one place. In this episode, Jess and Kyle break down what the two-tier internet actually is, why it won't replace human browsing (yes, you'll still shop for furniture), and why the old rules - "who can pay more" - are being replaced by new ones: "who's structured better." They also unpack why Walmart's participation signals a genuine tipping point for mainstream adoption, and what you need to do right now to prepare for a world where agents handle transactions instead of humans. In this episode: - What conversational commerce actually means (and why it's different now than before) - The two-tier internet explained: Human browsing layer vs. agent transaction layer - How "Buy with ChatGPT" works technically and where the friction actually is - Why Walmart joining changes everything - The agentic commerce protocol (ACP) and what "simple integration" really means - Discoverability on ChatGPT: The algorithm nobody understands - The privacy issues around Buy with ChatGPT Chapters: 00:00 Welcome to the Victory Lap (Yes, the Dodgers Won) 04:23 Happy 25th Episode to Us! 06:30 Conversational Commerce: What It Actually Means (And Why It's Not New) 06:53 Buy with ChatGPT is Here (And Walmart Knows What's Up) 11:22 Introducing the Two-Tier Internet: Your New Reality 15:41 The Agent Internet (What's About to Happen) 16:06 Browsing vs. Buying: Two Different Worlds 20:54 When Agents Take Over Your Shopping Cart 24:01 Under the Hood: How Buy With ChatGPT Actually Works 33:29 The Privacy Trap: Your Entire Life, One Conversation 39:06 What Do You Need to Do (Starting Today) 40:26 The Attribution Problem Nobody's Talking About (But Should Be) 41:52 The Brand Story Problem: Humans Want Drama, Algorithms Want Data 42:22 AI News of the Week: Wharton's New Report & a Pregnant AI?! 47:20 The Real Bottleneck: It's Not the AI, It's Your Team 49:43 AI Gone Wrong: Grok Goes Wrong (Again) 📲 FOLLOW EARLY ADOPTR Email: hello@earlyadoptr.ai Instagram: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr LinkedIn: https://linkedin.com/company/early-adoptr Resources: https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Atlas Has Entered the Chat: What AI Browsers Mean for Business | 29 Oct 2025 | 00:55:53 | |
AI browsers are here, and they could completely reshape how we use the internet. OpenAI’s Atlas just launched, instantly putting Google on defense and kicking off Browser Wars 2.0. But this time, it’s not about speed or design—it’s about who controls your digital gateway and the data that powers it. In this episode, Jess and Kyle break down how Atlas works, what it means for privacy, the rise of agent-based browsing, and why your business can’t afford to ignore the shift toward AI-native interfaces.
TIMESTAMPS: 00:00 Intro and Apologies to Mariners Fans 03:50 The Gatekeeper Problem: Why Your Browser Matter More Than You Think 08:09 Understanding Atlas: OpenAI's New Browser 11:40 Market Dynamics: OpenAI vs Perplexity 17:37 Future of Browsing: Context and Memory 18:15 Browser Memories and User Behavior 20:42 Agent Mode: The Next Step in AI Browsing 23:25 Exploring Agent Mode and Autonomous Actions 26:20 The Impact of AI on Business Efficiency 27:23 Privacy and Data Security Concerns 30:17 The Broader Tech Landscape and Google's Threat 35:22 Behavioral Shifts in Internet Usage 38:28 Practical Advice for Business Owners 41:03 AI News of the Week 45:32 The Value of Human-Created Content 46:35 Understanding LLM Brain Rot 49:45 AI Gone Wrong: The South Korean Textbook Disaster 54:14 The Pressure to Adopt AI Quickly 54:20 Quick wins and wrapping up for the week 📲 FOLLOW EARLY ADOPTR Instagram: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr LinkedIn: https://linkedin.com/company/early-adoptr Resources: https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Claude Code vs Cowork: What Non-Technical Founders Need to Know (w/ Sean Bhardwaj) | 01 Jul 2026 | 00:44:02 | |
If you use Cowork and talk to anyone slightly more technical about what you're doing with AI, you've probably heard it. "Just use Claude Code." Maybe more than once. And when you've tried to figure out whether that advice actually applies to you, the answers have been some version of "it depends." That's not helpful when you've never written a line of code and you're trying to make a sensible decision about your tools. In this week's episode, Kyle is joined by Sean Bhardwaj, Managing Partner at Breakthrough Growth Partners and returning guest on the show, to work through what the difference between Cowork and Claude Code actually is and whether switching is worth it for someone who is non-technical. Sean has been using AI tools to build real things in his business without a developer on hand, so his experience is more useful here than a purely technical take would be. Together they cover why Cowork's constraints exist and what they protect you from, what you gain in Claude Code, the framework for deciding which one to reach for, and the one setup rule that removes most of the risk if you do decide to make the move. How to find Sean: Use these links for a discount on the tools we recommend (and it supports the pod!)
What You'll Learn:
Timestamps: 00:00 Introduction 01:41 Reintroducing Sean Bhardwaj 04:26 Sean's journey as a non-technical vibe coder 07:04 How far vibe coding can actually take you 09:57 Why Cowork beats basic chat for knowledge work 12:04 Folder structure and context 14:20 What Claude Code gives you that Cowork doesn't 17:04 Where Cowork's limits are 19:50 Deciding Between Co-Work and Code 25:13 When to use Cowork vs. Claude Code 28:42 How much coding do you need to know? 30:09 How to set up Claude Code safely 33:25 The Importance of Setup: Staging vs. production 35:50 Navigating Existing Code Bases vs. Starting Fresh 38:07 The Role of Agents in Coding and Co-Work Get in Touch TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr LinkedIn: https://www.linkedin.com/company/early-adoptr/ https://www.earlyadoptr.ai/ Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| AI Scepticism Is Growing: How to Keep Building When the Hype Wears Off | 22 Oct 2025 | 00:57:48 | |
From LinkedIn posts about abandoned pilots to earnings calls where CEOs walking back their AI promises on earnings calls, are we witnessing the crash after the hype? Welcome to the Trough of Disillusionment – and it might be the best thing that's happened to AI. This isn't the death of artificial intelligence. It's the birth of something sustainable. While media headlines turn negative and executives panic, the real builders are taking advantage of the chaos. History doesn't repeat, but it rhymes: today's AI trough is creating the similar opportunity for businesses willing to play the long game as the Dot Com boom. This episode unpacks why the AI trough is an opportunity: it's a chance to build with intention rather than FOMO. We discuss the five tactical strategies that will position you to dominate when AI reaches its next growth phase, and why the current trust crisis requires a fundamental reset in how we communicate AI's capabilities. We also cover the shocking Pew Research poll showing Americans deeply distrust tech companies to develop AI responsibly, Claude's new "Skills" infrastructure that enables specialized tool use, and the hilariously practical AI that solves our collective avocado ripeness problem. Plus, we break down the $290,000 Deloitte Australia scandal where AI hallucinations in a government report led to fabricated court cases and non-existent academic papers - an important reminder of why the human oversight layer still matters.
00:00 What We've Been Up to This Week 04:27 The Backlash Against AI Slop Begins 06:59 Welcome to the Trough of Disillusionment 07:31 The Trough of Disillusionment: There's the Opportunity 10:05 The Gartner Hype Cycle: A Lord of the Rings Journey Through Technology 17:33 Dot-Com Déjà Vu: The Tech Crash Pattern Playing Out in AI 22:53 Skepticism in AI: When Promises Meet Reality 27:58 User Adoption vs. Hype: The Reality of AI Usage 30:06 The Trough of Disillusionment: Opportunities for Growth 31:57 Understanding AI's Real Capabilities and Limitations 33:53 The Importance of Those Little Wins in AI Implementation 37:15 The AI Trust Crisis: Consumer Skepticism and Expectations 44:05 Trust Repair: Building Credibility in AI Solutions 44:58 How to benefit from the Trough 45:08 Tactical Strategies: Navigating the Trough of Disillusionment 49:36 AI News of the Week: Pew Research, Avocado AI and Claude Skills 55:02 AI Gone Wrong: Deloitte's Very Bad Week 58:40 That's a Wrap: Where to Find Us Follow Early Adoptr: Instagram: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr LinkedIn: https://linkedin.com/company/early-adoptr Resources: https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| AI Slop: How Low-Quality AI Content is Breaking the Internet (And Costing Businesses Millions) | 15 Oct 2025 | 00:59:02 | |
The internet is drowning in AI-generated garbage. From Meta's Vibes to Sora 2 to that clearly ChatGPT generated email from your colleague, businesses are losing an estimated $9 million per 1,000 employees annually to low-quality AI content cluttering their workflows. This isn't about AI being bad. It's about automation without oversight creating an exponential pollution problem that's actively degrading the internet, tanking workplace productivity, and threatening the future training data for AI models themselves. There's no doubt that AI can generate impressive content. The quality of text, images, and video from tools like Sora is legitimately good. So why is there so much slop? Because quality isn't the problem - quality control is. When humans skip the editing, validation, and value-add steps, you get automation without judgment. And at scale, that's disastrous. Welcome to the world of "AI Slop" - and if you're using AI tools (which you should be), you need to understand the difference between AI-assisted content that adds value and automated garbage that's making everything worse. We also cover a major update from Google that flew under the radar (and why it matters for AEO), a major AI scam running on Spotify, and (even more) big news from OpenAI's Dev Day 2025. What You'll Learn:
Timestamps: 00:00 Intro: Poker Face & Getting Our Heads Straight 06:05 AEO Update: Google Just Changed Everything (Again) 16:04 AI Slop Defined 19:53 Sora 2 & Meta's Vibes: The TikTok-ification of Synthetic Media 24:17 Three Ways AI Slop is Breaking the Internet (And Future AI Models) 30:02 WorkSlop: The $9 Million Productivity Black Hole 37:55 The Anti-Slop Framework 44:29 AI News of the Week: OpenAI Dev Day Breakdown 48:03 AI News: What AI Hardware Could Look Like 49:31 AI News: Democratizing AI Fine-Tuning for SMBs 53:23 AI Gone Wrong: When 6,000 Students Got Falsely Accused by Turnitin 57:27 Key Takeaways: Navigating AI Challenges Follow Early Adoptr: Instagram: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr LinkedIn: https://linkedin.com/company/early-adoptr Resources: https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| The Complete AEO Toolkit (AEO Part 2: On-Site, Off-Site & Metrics) | 08 Oct 2025 | 00:57:23 | |
OpenAI just launched "Buy It in ChatGPT" - letting users complete purchases without ever visiting your website. If you're not cited by AI engines, you don't just lose traffic. You lose the entire sale. This is Part 2 of our Answer Engine Optimization series. Last week we covered why AEO matters. This week, we're getting tactical. We break down the exact three-pillar framework you need: on-site optimization, off-site citation building, and measurement strategies that actually work. The timing couldn't be more urgent. With OpenAI's September 29th announcement, conversational commerce is here. Etsy sellers can now sell directly in ChatGPT. Shopify merchants are next. The entire discovery-to-purchase journey happens in one AI conversation - and if you're not in that conversation, you're invisible. What You'll Learn:
We also cover Claude's new Slack integration, Sora 2's TikTok-style feed, and why AI-generated music almost broke Spotify's royalty system. Timestamps:
Key Resources: The businesses that master AEO in 2025 will have an unfair advantage. The ones that wait will be fighting for scraps. Which side do you want to be on? Follow Early Adoptr: 📱 Instagram: https://instagram.com/early_adoptr 🎵 TikTok: https://tiktok.com/@early_adoptr 💼 LinkedIn: https://linkedin.com/company/early-adoptr 📧 Newsletter: https://substack.com/@earlyadoptrpod 🔗 Resources: https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Getting Your Business Into the AI Conversation (AEO Strategy Guide) | 03 Oct 2025 | 00:58:25 | |
60% of searches now end without a click. If you're still optimizing for Google rankings while your competitors are getting cited by ChatGPT, you're already behind. Answer Engine Optimization (AEO) - also known as GEO, GSO, AIO - is fundamentally changing how customers find businesses. Instead of ranking #1 on Google, you need to become the source that AI engines quote when someone asks a question. This isn't SEO 2.0. It's a complete shift in how search works. What You'll Learn:
Kyle and Jess break down the technical mechanics behind AI search, explain why conversational queries are killing traditional keywords, and reveal the end game: purchases happening entirely inside ChatGPT with zero website visits. We also cover this week's AI infrastructure news - OpenAI's massive Nvidia partnership and what it means for tool accessibility - plus product launches from Amazon, Google, and Perplexity that signal where commerce is heading. Part 1 of 2. Next week, we get tactical with implementation frameworks, measurement strategies, and specific actions you can take immediately. Timestamps: 00:00 What We've Been Up To This Week 04:05 What is AEO and How is it Different from SEO? 08:20 The Zero-Click Era: How AI Answers Killed the Blue Link 12:36 Getting Cited, Not Ranked: The New Rules of Visibility 17:17 Behind the Algorithm: What Makes Content Citation-Worthy to AI 21:22 Spam Meets AI: Why Answer Engines Are About to Get Messy 22:13 How People Actually Talk to AI (And Why It Matters for Your Business) 23:14 The Shift to Conversational Search 26:22 Why AI Search Skips the Top of Your Funnel 28:59 Target vs. Traditional SEO: A Real-World AEO Success Story 32:32 The End Game: When Purchases Happen Inside ChatGPT 34:55 If You're Not in the AI Conversation, You're Invisible 36:04 Tracking the Untrackable: Measuring Citation Optimization 40:03 AI News: The OpenAI-Nvidia Partnership & What It Means for You 44:43 AI News of the Week: Amazon Seller Assistant, Google AI Summaries & Perplexity's Email Agent 49:10 AI Gone Wrong: How ChatGPT Leaked Private Email Data 53:37 Key Takeaways: Why Early AEO Adopters Will Dominate 57:35 Wrap Up & Next Week's Tactical Deep Dive The search landscape is shifting faster than most businesses realize. Share this with founders and marketers who need to understand where traffic is actually coming from now. Follow Early Adoptr: 📱 Instagram: https://instagram.com/early_adoptr 🎵 TikTok: https://tiktok.com/@early_adoptr 💼 LinkedIn: https://linkedin.com/company/early-adoptr 📧 Newsletter: https://substack.com/@earlyadoptrpod 🔗 Resources: https://linktr.ee/early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| AI Hallucinations: Why AI Lies With Complete Confidence (And How to Minimise the Risk) | 24 Sep 2025 | 01:00:13 | |
In this episode, Kyle and Jess tackle the elephant in the room that's sabotaging AI implementations everywhere: AI hallucinations. If you've ever wondered why ChatGPT confidently tells you complete nonsense, or why that "perfect" AI-generated content turned into a business nightmare, this episode breaks down exactly what's happening under the hood and gives you tips and strategies to help minimise the risk of hallucinations. We also cover YouTube's new AI creator tools, a new movie studio lawsuits, how people are actually using ChatGPT, Italy's groundbreaking AI legislation, and Meta's spectacular demo failure where they accidentally crashed their own presentation. Key Takeaways:
Glossary:
Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Your Business Data is Messier Than You Think (And Why That Kills AI) | 17 Sep 2025 | 00:55:12 | |
In this episode, Kyle and Jess continue their deep dive with data veteran Eric Callahan, exposing the truth about how most businesses actually handle their data. It's messier than you think, and that's exactly why your AI initiatives keep failing. Eric talks us through his "duct tape analogy" - a brutally honest take on why most companies are digital Frankensteins, we get real about technical debt, data hygiene nightmares, and why throwing AI at bad data is like putting premium gas in a broken engine. We also discuss how Spotify turned simple data modeling into viral marketing gold with Spotify Wrapped, why Albania just made history by swearing in an AI advisor, and we have an update to our Anthropic lawsuit settlement from last week. What You'll Learn:
Chapters: 00:00 Intro, Tube Strikes, Furniture Nightmares, Camping and Missing Fingers 03:10 You Have More Data Than You Think: Destroying the "Not Enough Data" Myth 07:26 Welcome back to Eric Callahan 08:44 Why Many Businesses are Held Together with Digital Duct Tape (And How Netflix Avoided This) 13:32 Red Flags: How to Spot When Your Data Processes Are Actually Broken 16:08 Why Your Data is Messier Than You Realize 26:02 Sorry to Break It to You: AI is Not Magic (And Why That's Actually Good News) 29:04 The Secret Behind Spotify Wrapped: How Good Data Creates Viral Moments 34:12 Your Homework: Create a "Wrapped" Experience That'll Make Customers Obsessed 35:53 McDonald's AI Gone Rogue: The Job Application Bot That Exposed Everyone's Data 39:52 Why Spotify Can Launch AI Features Overnight (While Your Competitors Can't) 42:39 AI News of the Week: Anthropic's Settlement Rejected & Albanian AI Advisor 50:03 Your 5-Minute Data Audit: Find the Duct Tape Before It Breaks Everything 53:43 Wrapping Up for the Week! Glossary:
Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| The 5-Minute Data Fix That Prevents AI Disasters | 10 Sep 2025 | 01:07:00 | |
In this episode of Early Adoptr, Kyle and Jess bust the biggest AI myth of all: “We don’t have enough data.” The truth? You’re already swimming in it. From emails to spreadsheets to customer conversations, every business has more than enough information to start building AI-powered insights. To prove it, they bring in data veteran Eric, who’s spent 15+ years cleaning up messy data for startups and enterprises alike. Eric shares why even Fortune 500s are struggling with data quality, how to avoid AI hype traps, and why the “hot dog story” from his kid’s PTA is the perfect metaphor for every business owner’s data nightmare. You’ll also hear why dashboards break, what “Shift Left” really means, and how to spot untapped data hiding in plain sight. Plus: the latest AI news, from Anthropic’s billion-dollar copyright settlement to sneaky YouTube AI editing. 04:00 Welcoming Eric Callahan 07:52 Why Everyone’s Data Is a Mess and Why It Matters for AI 14:10 Big Data, AI FOMO, and Business Reality Checks 20:28 Emails, Funnels, and the Hidden Data You Already Own 23:56 The Hot Dog Example: Data Engineering for Normal People 32:42 Shift Left: Fixing Data Quality Before It Breaks Everything 42:21 Following the Data Trail: How Actions Become Insights 44:55 Key Takeaways to Make Your Data Work for AI 47:30 AI News of the Week: Anthropic Lawsuit & Data Training, ChatGPT's Parental Controls 59:43 AI Gone Wrong: YouTube Changes Content Without Consent
Get in touch: hello@earlyadoptr.ai Follow Us:
Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Business Data for AI: How to Turn Customer Emails and Invoices Into Competitive Advantage | 03 Sep 2025 | 00:57:08 | |
In this episode, Kyle and Jess tackle the biggest myth in AI adoption: "I don't have enough data." The reality? Every business owner is sitting on a goldmine of untapped information - they just don't know how to see it or use it. From email threads to customer support tickets to that "Bible spreadsheet" you've been updating for three years, your business is generating incredible amounts of data every single day. We break down the three types of data your business already has, explain how to actually extract it from your systems without needing a computer science degree, and show you exactly what AI does with all that information once it gets its hands on it. Plus, we dive into the practical side - how connecting different data types can finally prove whether your marketing campaigns actually drive sales, not just open rates. Whether you're drowning in spreadsheets, wondering how to make sense of years of customer emails, or ready to turn your data into your competitive advantage, this episode will change how you think about every business interaction you have. What You'll Learn:
Data Terminology: API (Application Programming Interface) - A documented doorway that lets different software systems ask each other for specific information securely and automatically. CSV (Comma Separated Values) - A simple file format that stores data in rows and columns, like a basic spreadsheet that any system can read. ETL (Extract, Transform, Load) - The three-step process of pulling data from different places, cleaning it up, and putting it somewhere useful. JSON - A standardized format that systems use to exchange data in a way that's both human-readable and computer-friendly. LLM (Large Language Model) - AI systems like ChatGPT or Claude that can read, understand, and generate human-like text. Mapping - The process of matching data fields from one system to another (like making sure "email" doesn't end up in the "first name" column). MCP (Model Context Protocol) - An emerging standard that lets AI systems directly access live data from your business tools without manual exports. Metadata - "Data about data" - information like timestamps, file sizes, who created something, or when it was last modified. RAG (Retrieval-Augmented Generation) - How AI finds the right pieces of information from a large collection of documents to answer your questions. Semi-Structured Data - Information that has some organization but isn't perfectly clean - like that messy spreadsheet with random notes and merged cells. Structured Data - Information organized in neat rows and columns, like your CRM records or accounting software. Unstructured Data - Messy information like emails, documents, audio recordings, and PDFs that doesn't fit into neat categories. Webhooks - Event triggers that automatically push data from one system to another when something specific happens (like a new customer signup). If this episode helped you realize you're not data-poor after all, share it with another business owner still thinking they need enterprise-level infrastructure to compete with AI. Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| How to Get AI to Actually Do What You Want - Prompt Engineering That Doesn't Suck: Electric Boogaloo | 27 Aug 2025 | 00:59:05 | |
In this episode, Kyle and Jess are completely overhaul their most popular episode on prompt engineering, because GPT-5 isn't just faster than GPT-4 - it's fundamentally different. It follows instructions with "surgical precision," handles 800 pages of context at once, and will get confused if you give it contradictory prompts that older models would just ignore. Not to mention there's been a whole host of other updates to prompt engineering that deserve attention too. We dive deep into why role prompting (like "act as a marketing expert") is largely ineffective according to new research, introduce the game-changing 4C Framework that actually works with GPT-5's precision, and show you how few-shot prompting can boost accuracy from 0% to 90%. Plus, we break down the shocking MIT report showing 95% of AI pilots are failing - and why that's actually great news for small businesses. Whether you're frustrated with generic AI responses, wondering why your old prompts don't work as well anymore, or ready to master the communication skills that'll give you a massive competitive advantage, this episode is your roadmap to prompt engineering mastery in 2025. What You'll Learn:
00:00 Intro and a special surprise from CatBus 05:00 Revisiting Prompt Engineering - Why It Matters 08:16 Prompt Engineering: How Is GPT-5 Different? 17:53 Updating Commonly Held Beliefs About Prompt Engineering 19:58 WTF is Shot Prompting and How Does It Help Write Better Prompts? 21:45 Why You Need to Prioritze Your Context in Prompt Engineering 22:36 Decomposition and Self-Criticism in Prompt Engineering 25:32 Introducing the 4Cs Framework (+P) of Prompt Engineering 34:23 Applying the 4C Framework in the Real World 42:34 AI News of the Week: Bad News for Enterprise AI Projects 50:19 AI Gone Wrong: A Cautionary Tale 56:09 Quick Wins for Effective Prompt Engineering: Updated If this episode helped you finally get consistent results from ChatGPT-5, share it with other business owners still struggling with generic AI responses. Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Your Laptop Can Run AI Now? Testing Small Language Models So You Don't Have To | 20 Aug 2025 | 00:57:42 | |
In this episode, Kyle and Jess get hands-on with Small Language Models (SLMs) - showing you exactly how to set up your own private AI that runs entirely on your laptop. If last week was the "why," this week is all about the "how," complete with real business use cases and a step-by-step quick win you can try today. We dive deep into LM Studio, walk through analyzing business documents without sending data to the cloud, and show you how to create content that actually sounds like you wrote it. Plus, we cover ChatGPT's inevitable move to ads, Perplexity's audacious Chrome acquisition bid, and Meta's absolutely inexcusable chatbot scandal that every parent needs to know about. Whether you're tired of hitting Claude's rate limits, worried about data privacy, or just want an AI assistant that doesn't cost you per query, this episode gives you the practical roadmap to your own local AI setup. What You'll Learn: * How to set up LM Studio and download your first small language model in 15 minutes * Why local AI might actually be faster and more reliable than cloud-based solutions * The privacy advantages that make SLMs perfect for sensitive business data * Why ChatGPT's upcoming ads change everything for business decision-making * Critical red-teaming questions every business owner should ask before launching AI features Chapters: 00:00 Intro, What We've Been Up to This Week and Chipmunk Cheeks 09:01 Recap: WTF are Small Language Models (SLMs)? 13:16 What Are the Benefits of a Small Language Model for a Small Business? 16:54 Small Language Models: Real World Use Cases 31:17 Comparing Small Language Models to Large Language Models 37:29 Jargon Busting: Why You Should Consider a SLM 40:10 AI News of the Week: ChatGPT Ads, Perplexity Wants to Buy Chrome, Illinois & AI Therapy Regulation 48:14 AI Gone Wrong: Meta's "How Did This Get Approved?" Moment 53:33 Quick Wins: How to Build a Local AI Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: Instagram: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod LinkedIn: https://www.linkedin.com/company/early-adoptr Resources: https://linktr.ee/early_adoptr If this episode convinced you to try building your own local AI, share it with other business owners who are tired of AI subscriptions and rate limits. Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Why Your AI Keeps Forgetting You, and the Folder That Fixes It (w/ Rob Webster) | 24 Jun 2026 | 01:03:20 | |
AI has a memory problem. It is exceptionally capable within a session, helping you draft a pitch, review a contract, and write a client proposal in the same afternoon, but close the tab and it forgets everything. Open a new chat and you are back to square one, re-explaining who you are and what you do from scratch, every time, until it still never quite sounds like you. This week, Rob Webster, founder of TAU Marketing Solutions, joins Jess and Kyle to explain why this happens and how a simple file and folder structure gives your AI permanent, reliable context, so you stop losing ground at the start of every session. What You'll Learn
Rob Webster - https://www.linkedin.com/in/digitalstrategyleader/ TAU Marketing Solutions - https://taums.ai/ Use these links for a discount on the tools we recommend (and it supports the pod!)
00:00 Introduction 03:48 Why Boring AI Habits Beat Impressive Ones 08:23 Two Kinds of Context: Always On vs Load When You Need It 10:50 Reintroducing Rob Webster 12:57 Why AI Forgets Everything Between Sessions 16:43 What You're Losing Every Time You Open Claude Without Context 22:37 Context Drift: Why AI Outputs Get Worse the More You Use It 25:52 How to Start Giving Your AI Context About Who You Are 32:01 Making It Stick: Naming Chats, Pinning Projects, Starting Your Folders 35:28 What a Working Folder Structure Actually Looks Like 37:04 Where to Store Your AI Context Files (Local vs Cloud) 46:40 Global vs Project-Specific: The About Me Folder and Beyond 53:47 How AI Reads Context 56:12 How This Scales Into Agents, Claude Code, and Vibe Coding Get in Touch TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Small Language Models 101: Why Bigger Isn't Always Better in AI | 13 Aug 2025 | 00:58:11 | |
In this episode, Kyle and Jess explore the world of Small Language Models (SLMs) - the focused, cost-effective AI alternatives that might be perfect for your small business. While everyone's talking about expensive enterprise AI solutions, we dive into why smaller, specialized models could be the smarter choice for most business owners. We break down what Small Language Models actually are (hint: think specialist vs. generalist), explore real-world use cases from customer support chatbots to internal knowledge bases, and give you practical tools you can try today. Plus, we cover Switzerland's groundbreaking open-source AI initiative and why Elon Musk's latest deepfake controversy matters for every business owner. Tools We Talk About: - Chatbase.co - https://www.chatbase.co/?via=early-adoptr (If you sign up using this link, we'll earn a small commission at no extra cost!) - Helpjuice: https://helpjuice.com/ - Slite: https://slite.com/ - LM Studio: https://lmstudio.ai/ - Ollama: https://ollama.com/ What You'll Learn:
Chapters:
Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources:
If this episode helped you understand Small Language Models and find affordable AI solutions for your business, please share it with other entrepreneurs and small business owners who need practical AI guidance. Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| ChatGPT Agent Review: We Tested OpenAI's New AI Assistant So You Don't Have To | 06 Aug 2025 | 00:59:41 | |
In this episode, Kyle and Jess dive deep into OpenAI's much-hyped ChatGPT Agent feature - and spoiler alert: the reality doesn't quite match the marketing. After Kyle spent a week testing everything from flight booking to DMV appointments, we deliver our take on what works, what doesn't, and why you probably shouldn't connect your email just yet. We also cover some critical AI news that affects every business owner: YouTube's controversial AI-powered age detection system and Microsoft's internal list of jobs they believe AI will transform. Plus, two concerning privacy stories from OpenAI that validate everything we've been saying about being careful with sensitive data. Whether you're curious about AI agents, concerned about privacy, or trying to separate AI hype from reality, this episode cuts through the noise with practical insights you can actually use. What You'll Learn:
Chapters: Intro & What We've Been Up to This Week 03:43 ChatGPT Agent - Our Honest Review 05:42 AI Agents: A Quick Review & the Ladder of Autonomy 10:38 ChatGPT Agent: How It Works 18:09 ChatGPT Agent: How Does It Handle Tasks? 22:39 ChatGPT Agent: Pros & Cons 24:39 ChatGPT Agent: The Reddit Verdict 29:50 ChatGPT Agent: More Pros & Cons 32:50 What Does the Internet Look Like in a World of Agents? 35:18 ChatGPT Agent: When SHOULD You Use It? 40:57 ChatGPT Agent: Final Impressions 41:35 AI News of the Week: YouTube AI-Powered Age Verification and Microsoft Jobs Report 51:12 AI Gone Wrong: OpenAI Privacy Concerns 56:42 Quick Wins of the Week Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources:
If this episode helped you set realistic expectations for AI agents and navigate privacy concerns safely, please share it with other founders and entrepreneurs who need this reality check. Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| Minimum Viable AI Policy: The Framework Every Business Needs in 2025 | 30 Jul 2025 | 00:57:43 | |
In this episode, it's the final part of our three-part series with Sean Bhardwaj from Breakthrough Growth Partners. If you missed parts one and two, we highly recommend going back to listen - they set the foundation for today's practical framework. This week, we're diving into the solution: how to actually create an AI policy framework that protects your business while enabling confident AI adoption. Sean introduces his "Minimum Viable AI Policy" (MV(AI)P) - a simple, one-page document that answers four critical questions every business needs to address before implementing AI tools. We also cover Amazon's acquisition of the $50 Bee wearable device that listens to everything you say, and the White House's new AI Action Plan that could reshape how entrepreneurs access and use AI technology. Plus, our AI Gone Wrong segment features a jaw-dropping story about an AI coding agent that completely ignored explicit instructions and deleted an entire production database - a perfect example of why having proper guardrails isn't optional. Whether you're a founder, entrepreneur, or business owner who's been experimenting with AI tools, this episode provides the practical framework you need to use AI safely and strategically. What You'll Learn:
Get in touch with Sean: Website: https://breakthroughgrow.com/ Email: sean@breakthroughgrow.com LinkedIn: https://www.linkedin.com/in/seanbhardwaj/ Sean is offering complimentary 30-minute strategy sessions for Early Adoptr listeners - just mention the podcast when you reach out. Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: https://linktr.ee/early_adoptr If this episode helped you understand the importance of AI policies for your business, please share it with other founders and entrepreneurs who could benefit from this framework. Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||
| The Ultimate Guide to AI Pitfalls And the Framework to Avoid Them (with Sean Bhardwaj) | 23 Jul 2025 | 01:01:49 | |
In this episode, it's part two of a three-part series with Sean Bhardwaj from Breakthrough Growth Partners. If you missed part one, we highly recommend going back to listen - it sets the foundation for today's discussion. This week, we're tackling the uncomfortable truth about AI adoption: why most AI initiatives fail (it's usually not because of the technology itself!). Sean breaks down the five major pitfalls that consistently trip up businesses, no matter how big or small your business is, and provides practical guidance on how to avoid these costly mistakes. We also cover some notable AI news developments, including OpenAI's new ChatGPT Agent, Mistral AI's latest updates, and an entertaining follow-up to our Atari chess story that you won't want to miss. Whether you're a founder, entrepreneur, or business owner trying to navigate AI adoption thoughtfully, this episode provides actionable frameworks you can implement immediately. What You'll Learn:
Chapters: 04:04 The Pitfalls of AI and How to Avoid Them 05:53 Pitfalls of Implementing AI and How to Avoid Them 07:29 Pitfall #1: Ready, Fire, Aim - Misaligned Goals 13:36 Pitfall #2: Weak Leadership or Team Support 18:44 Pitfall #3: Data Quality & Tech Foundations 29:55 Pitfall #4: Ethics & Compliance Gaps 35:54 Pitfall 5: Underdeveloped Skills & Culture 40:52 How to Avoid AI Pitfalls 43:42 How to Rebuild Trust When Things Go Wrong 45:35 Are Some Companies Just Not Ready for AI? 53:23 AI News Gone Wrong 01:00:07 AI Gone Wrong: Atari vs Gemini Get in touch with Sean: Website: https://breakthroughgrow.com/ Email: sean@breakthroughgrow.com Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: https://linktr.ee/early_adoptr If this episode provided valuable insights for your AI strategy, please share it with other business owners who could benefit from this practical approach to AI adoption. Get in touch with Early Adoptr: hello@earlyadoptr.ai Follow Us on Socials & Resources: IG: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information. | |||