Early Adoptr: Simplifying AI For Founders & Small Businesses

Episodes

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  Personal AI Agents: Are Duet, Dots and Muse Worth the Hype or a Risk to Your Business? 04.11.2026 1h 7m

  Imagine opening your phone to find an AI personal assistant has checked your email, spotted work that needs chasing and prepared replies for you to approve. That’s the promise behind personal AI agents such as Meta’s Muse, Anthropic’s Duet and OpenAI’s Dots, but does the reality live up to the hype? And what do you hand over in return?These personal agents may have only been out for a few weeks, butThe idea is simple. Give an AI agent access to the apps you use for work, tell it what you want kept on top of and let it bring you anything that needs a decision. It could clear a lot of the admin that never makes it to the top of your list, but it also means an AI company can see far more of your business.In this week’s episode, Jess and Kyle unpack what personal AI agents are and where they sit on the ladder of autonomy. They explore why an agent that acts before you ask differs from the tools you already use, why you might be interested in using a personal agent, and the related safety concerns.Signal Brief — the week's AI news, cut to what you can actually use. If you've got seventeen AI tabs open and haven't read any of them, this is the 5-minute weekly read that tells founders and operators what actually matters — no jargon, no rabbit holes. 23 issues in.Join the founding members: https://signal-brief10.staging.zilla.so/founding?utm_source=earlyadoptr&utm_medium=newsletter&utm_campaign=earlyadoptr_xmentionClaude for Small Business: https://pod.link/1815753818/episode/NmExZGUxNWI4OTNkMzUzNzdkMTYzNzM5How to Use OpenClaw Without Wrecking Your Digital Life: We Tested OpenClaw So You Don't Have To - https://pod.link/1815753818/episode/NjlhZWZkMTZiNThlYTMwNzRkYmM4ZDA3What you'll learn:What a personal AI agent is and what it can doHow personal agents differ from Claude for Small Business and OpenClawWhy an agent that acts before you ask is so appealingHow Meta’s Muse, OpenAI’s Dots and Anthropic’s Duet compareThe safety concerns to understand before you connect oneWhat you hand over when an agent gets access to your appsHow to test a personal agent safelyWhy you still need to decide where you sit in the processTimestamps: 04:44 Personal AI Agents: What’s New from Meta, OpenAI and Anthropic?08:31 What Is a Personal AI Agent? Understanding AI Autonomy11:59 OpenClaw vs Personal AI Assistants: Setup, Access and Risk19:15 Meta Muse: Features, Pricing and Small Business Tools23:40 OpenAI Dots: Personal AI Agents Inside ChatGPT27:00 Anthropic Duet: Features and Integrations29:33 GrokBot, Instinct and Boardy: Other AI Assistants31:17 Personal AI Agents vs Claude for Small Business35:13 Testing Instinct: Can AI Manage Your Email and Calendar?41:07 Real World Use Cases: Calls, Subscriptions and Life Admin45:35 Personal AI Agent Security: Logins, Permissions and Control52:44 Prompt Injection: How AI Agents Can Be Manipulated54:46 When AI Agents Go Wrong: Data Leaks and Unwanted Actions57:23 How to Use Personal Agents Safely01:06:07 Final Takeaways: Start Small with Personal AI AgentsResources:How I AI:https://podcasts.apple.com/gb/podcast/grok-vs-dot-vs-muse-vs-claude-duet-which-one-crushes/id1809663079?i=1000798510243https://podcasts.apple.com/gb/podcast/grok-vs-dot-vs-muse-vs-claude-duet-which-one-crushes/id1809663079?i=1000798510243https://www.nytimes.com/2026/09/22/technology/meta-muse-ai-agent.htmlhttps://about.fb.com/news/2026/09/introducing-muse-small-business/https://arstechnica.com/security/2026/10/meta-muse-exposes-users-personal-and-business-secrets-when-they-share-conversations/https://sifted.eu/articles/personal-ai-assistantshttps://www.marketingbrew.com/stories/meta-muse-popularity-barriers-to-adoptionhttps://www.aiwithallie.com/p/new-ai-assistants-duet-muse-dots-instincthttps://www.fastcompany.com/91623134/ai-agents-work-employees-risksGet in Touch:Email: hello@earlyadoptr.aiTikTok: @early_adoptrInstagram: @early_adoptrYouTube: @early_adoptrLinkedIn: https://www.linkedin.com/company/early-adoptr/Get in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  Jev AI: Can a Model That Can’t Write Save You Money? 28.10.2026 50m

  What if the next AI model your business needs can’t write, chat, code or explain itself? Jev, the new AI model from San Francisco startup TypeSafe AI, picks from answers you provide. Could that make it useful for your business?Sorting support emails, flagging urgent requests and screening job applications can take hours every week, and paying a general chatbot to repeat those tasks can add up. Jev is built for these quick decisions and could reduce the cost of handling them at volume.n this week’s episode, Jess and Klye explain why everyone is talking about Jev, what it can and can’t do, and how to test it before you rely on it. We also cover the jobs it suits, and how you can start using it.Which AI Model Should You Use? AI Model Families Explained - https://earlyadoptr.ai/episodes/which-ai-model-should-you-use-ai-model-families-explainedUse these links for a discount on the tools we recommend (and it supports the pod!)Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptrGranola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptrTimestamps:What You'll Learn: What the Jev AI model is and how it differs from ChatGPT and ClaudeWhere AI classification and confidence scores fit into business automationHow combining specialist AI models with chatbots could reduce costsWhat Jev’s limitations and data privacy policies mean for your businessHow to define a task and test AI decisions before automating themHow businesses could access Jev through existing software and automation toolsWhat the Character.ai bankruptcy reveals about AI business costs and profitabilityResources: How I AI: 8 Real Jev Use Cases - https://www.lennysnewsletter.com/p/how-i-ai-8-real-jev-use-cases-howJev YouTube Comment Analysis: https://www.chatprd.ai/how-i-ai/workflows/jev-youtube-comment-analysisJev Explained: Demos and Use Cases - https://www.youtube.com/watch?v=QbYBRjOaGOoJev: TypeSafe's System One Model That Never Hallucinates - https://www.datacamp.com/blog/system-one-models-jevJev Explained: Typesafe AI's Non-Autoregressive System-1 Model - https://www.mindstudio.ai/blog/jev-system-one-model-launchBuilding a Harness with Jev - https://www.langchain.com/blog/building-a-harness-with-jevJev: 8 real use cases this fast, cheap model - https://www.youtube.com/watch?v=dAIIaepNhQMGet in Touchhello@earlyadoptr.aiTikTok: @early_adoptrInstagram: @early_adoptrYouTube: @early_adoptrLinkedIn: https://www.linkedin.com/company/early-adoptr/www.earlyadoptr.ai Get in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  Building Products with AI Without Losing Human Judgement | w/ Ben Bilbrough 21.10.2026 1h 4m

  AI makes it easier to build a product, change your mind and start again. But when you can turn an idea into something usable over a weekend, it’s easy to fall in love with what you’ve made before you’ve worked out whether anyone needs it.In this week’s episode, Jess and Kyle speak with serial founder Ben Bilbrough about building products with AI. His latest project, U26.vote, helps Americans understand the potential influence of their vote, but his experience offers practical lessons for anyone using AI to turn an idea into a business.Ben shares how his team used AI to process complex data, develop ideas and iterate quickly—and where human expertise remained non-negotiable. They discuss what happens when Claude sounds right but isn’t, why easier development doesn’t always lead to better products, and how to keep a team focused when changing direction takes so little effort.From the freedom to scrap your own work to the risks of falling in love with it, we explore what AI changes about product development, what it doesn’t, and why knowing what not to build matters more than ever.Ben Bilbrough: https://www.linkedin.com/in/ben-bilbrough/U26.vote: https://u26.vote/ActionTank.io: https://actiontank.io/Boardy: https://www.boardy.ai/What You’ll LearnHow small teams can use AI to build products and iterate fasterWhy the freedom to scrap your work can be both an advantage and a riskWhere human expertise remains non-negotiable when building with AIWhy vibe coding makes it easier to skip the questions that matterHow to keep your team and your AI focused when changing direction is easyWhy falling in love with the problem matters more than falling in love with your product00:44 Weekly Catch-Up05:02 This Week: What It Takes to Build Something Useful with AI09:23 Introduction to Ben Bilbrough12:42 Ben's Background in SMB and the Wedding Industry14:17 The Knot, AOL and Ben’s First Exit16:16 Why Ad Tech Treats Us as Consumers18:26 How Nonprofits Can Ask Supporters for More Than Money21:28 Understanding Voter Engagement and Political Influence23:25 U26.vote: Scoring the Power of Your Vote26:40 Building U26.vote With AI31:50 AI as a Force Multiplier37:05 Who Do You Need in the Room When Building With AI?40:31 Users Never Behave the Way You Think They Will43:26 The Role of Domain Experts in AI Development45:48 How to Reduce AI Hallucinations in a Real Product48:29 Why Fast Iteration Needs Guiding Principles54:49 Finding Focus: The Problem Before the ProductGet in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  Open Weight vs Open Source AI: What the Adobe Clones Mean for Your AI | Re-release 14.10.2026 56m

  When does it make sense to stop renting your tools and start owning more of them?With the recent news that a developer used AI to create free open source versions of popular tools like Adobe’s Photoshop and Microsoft Word, we thought it was timely to re-release our episode on open weight models, because the concept is similar. Just like open source tools, open weight models can give your business more control over AI costs, data privacy and the tools you depend on. But what would you give up to get it?In this week's episode, Jess and Kyle get into what open weight models are, how they differ from closed models like ChatGPT and Claude and from open source, and why the real distinction comes down to access, control and cost rather than anything too technical.They cover the licensing terms to watch, the three ways to run a model and when fine-tuning a small model for one repeatable job beats a big general model on both cost and accuracy. Open weight models aren't something you need toswitch to tomorrow, but one to have on your radar as AI works its way into more of how your business runs.Local AI episode: https://earlyadoptr.ai/episodes/local-ai-how-to-run-private-low-cost-ai-on-your-own-computer"Software is over": Bold AI developer takes aim at Adobe with open source clones: https://arstechnica.com/ai/2026/10/software-is-over-bold-ai-developer-takes-aim-at-adobe-with-open-source-clones/Llama: https://ai.meta.com/blog/large-language-model-llama-meta-ai/Qwen: https://qwen.ai/homeGemma: https://deepmind.google/models/gemma/Phi: https://huggingface.co/microsoft/phi-4Groq: https://groq.com/Together AI: https://www.together.ai/What You'll LearnWhat open weight models are, and how they differ from both closed models and open sourceThe three ways to run one: your own machine, a hosted provider, or your own cloudWhat the licensing terms actually let you do, and when they start to matterWhen fine-tuning a small model for a repeatable task beats a big general model on cost and accuracyA simple framework for deciding when open weight is the right call, and when ChatGPT or Claude still winsTimestamps:00:43 Why We’re Re-Releasing Our Open Weight AI Models Episode03:06 Open Source vs Open Weight: How Both Reduce Your Dependence on One Supplier05:37 Open Source Software and AI: Less Lock-In, More Competition07:54 Why More Businesses Are Moving to Open Weight AI Models12:21 Location vs Access: How Open Weight Goes Beyond Local AI14:54 Why It Matters Now: Reducing Your Dependence on the Big AI Providers16:54 What an Open Weight Model Actually Is19:12 How Open Weight Differs From Open Source24:05 What the Licence Lets You Do With an Open Weight Model25:29 Why Your Subscription Price Hides the Real Cost of AI28:32 How Flat Subscriptions Compare to Pay-As-You-Go API Costs31:03 Control and Privacy Over Where Your Data Goes34:54 The Three Ways to Run an Open Weight Model38:18 Using a Model Off the Shelf or Fine-Tuning It42:22 Llama and Qwen, the Best-Known Open Weight Models44:02 Emerging AI Models and Their Capabilities46:34 The Framework for Choosing a Model51:52 How AT&T Fine-Tuned a Small Model to Sort Call Summaries53:37 When to Start Considering an Open Weight ModelResources:https://www.wsj.com/cio-journal/why-at-t-is-betting-big-on-open-weight-ai-a0ea03b1https://medium.com/@bhagyarana80/why-open-weight-models-matter-more-than-you-think-1d1d8787a4fehttps://mitsloan.mit.edu/ideas-made-to-matter/ai-open-models-have-benefits-so-why-arent-they-more-widely-usedhttps://www.lawfaremedia.org/article/knives-are-out-for-open-weight-ai-modelshttps://www.forbes.com/sites/alexanderpuutio/2026/08/14/theres-inflation-and-then-theres-whatever-a-1100-increase-is/https://www.gumloop.com/blog/open-weight-vs-open-sourceGet in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  Which AI Model Should You Use? AI Model Families Explained 07.10.2026 51m

  Every new AI model claims to be the best—but best at what? If you’re choosing between different AI model families, the newest and most powerful option may not be the right one for the job.As OpenAI and Anthropic release growing families of AI models, choosing the newest or most expensive option no longer guarantees the best result. Different models are now designed for complex reasoning, everyday work and high-volume routine tasks, and using the wrong one can waste money, consume your usage allowance and produce worse output.In this week’s episode, we explain how to choose the right AI model for each job, why model pricing affects the software your business uses, and what cached context and benchmark scores actually tell you. We also discuss the different strengths of Claude and ChatGPT, before looking at OpenAI Dots and Meta's Muse, the new personal AI agents competing for access to your email, calendar and business tools.AI Agent Harness episode: https://earlyadoptr.ai/episodes/what-is-an-ai-agent-harness-how-better-ai-setup-makes-agents-more-reliableWhat You’ll LearnHow to match premium, everyday and high-volume AI models to different types of workWhy the most powerful AI model is not always the best model for the jobHow model pricing, usage limits and cached context affect businesses and individual usersWhat AI benchmark tests measure—and why the headline scores can mislead youWhy the tools, data and agent harness around a model can matter more than the model itselfWhat OpenAI Dots and Meta Muse reveal about the next generation of personal AI agentsTimestamps:00:43 Introduction and Weekly Updates03:23 The Latest OpenAI, Anthropic and Google AI Model Releases06:08 AI Model Families Explained08:33 How to Choose the Right AI Model11:32 How AI Model Pricing Affects Your Costs13:04 OpenAI and Anthropic Model Tiers Explained15:07 AI Usage Limits and Context Caching17:51 Why the Most Powerful AI Model Isn’t Always Best28:13 How AI Context Caching Works32:38 Can You Trust AI Benchmark Tests?35:54 Why the AI Model Is Only Part of the Picture: Why the AI Agent Harnesses Matters38:51 Why Claude and ChatGPT Feel Different46:24 AI News of the Week: Here Come the Personal Agentshttps://www.reddit.com/r/codex/comments/1wopzcz/gpt6_luna_sol_or_astra_heres_what_id_use/https://www.tomsguide.com/ai/chatgpt-6-or-claude-opus-5-5-heres-which-ai-id-use-for-writing-planning-and-5-other-everyday-taskshttps://www.youtube.com/@howiaipodcasthttps://artificialanalysis.ai/articles/claude-opus-5-5https://venturebeat.com/technology/anthropic-releases-claude-opus-5-5-beating-fable-5-1-on-key-agentic-benchmarks-at-60-cheaper-api-pricehttps://aibusiness.com/generative-ai/openai-takes-ai-price-war-next-level-gpt-6-sol-luna-pricinghttps://app.therundown.ai/guides/claude-opus-5-5-vs-opus-5-vs-fable-5-1https://www.chatprd.ai/how-i-ai/claude-opus-5-5-reviewhttps://www.vellum.ai/blog/gpt-5-6-sol-terra-luna-explainedhttps://venturebeat.com/technology/anthropic-launches-claude-sonnet-5-5-with-30-cost-reduction-per-task-due-to-faster-speeds-and-fewer-tool-callsGet in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  Has Claude’s Output Got Worse? Here’s What You Can Control | Re-release with Rob Webster 30.09.2026 1h 5m

  Claude’s output has felt harder to work with recently. It ignores instructions, produces overlong, overwritten answers and can get worse over a long conversation. But if you want to improve your AI output, the answer might just be sitting in your Documents folder.In this re-released episode, Jess and Kyle speak with Rob Webster, founder of TAU Marketing Solutions, about managing AI context. The tools and product names may be moving fast, but the practical problem has not changed: AI performs better when it has clear, well-managed context.In this episode, Rob explains how to set up a few plain text files and folders so your AI knows who you are, what you do and what good looks like before you type a word. He also explains why giving your AI everything at once tends to make answers worse, how to spot when your setup has got bloated, and why the same files are the foundation for Claude Code and AI agents.Follow Rob:LinkedIn: https://www.linkedin.com/in/marketingaivisionary/TAU Marketing Solutions: https://taums.ai/What You'll LearnWhy AI forgets instructions in long conversations, and how better context can improve outputThe difference between persistent and situational contextHow to organise plain-text and Markdown context filesWhy more connected documents do not always produce better AI answersWhat to retain permanently and what to remove when a project endsHow to identify context drift earlyWhy this approach provides a foundation for Claude Code, Claude Cowork and AI agentsTimestamps:00:43 Introduction and Weekly Updates03:09 Claude’s Output Has Got Worse, So We’re Revisiting Our Setups11:12 Markdown Files and the Two Types of AI Context14:24 Reintroducing Rob Webster16:31 The Goldfish with a PhD: Why AI Forgets Everything20:17 What You're Losing Every Time You Open Claude Without Context26:11 Context Drift: Why AI Outputs Get Worse the More You Use It29:26 How to Start Giving Your AI Context About Who You Are35:35 Making It Stick: Naming Chats, Pinning Projects, Starting Your Folders39:02 What a Working Folder Structure Actually Looks Like40:38 Where Your Files Should Live 50:14 Global vs Project-Specific: The About Me Folder and Beyond57:21 How AI Reads Context59:47 How This Scales Into Agents, Claude Code, and Vibe CodingResources: https://tech-insider.org/anthropic-engineer-claude-writing-quality-worse-2026/https://news.ycombinator.com/item?id=49348163Get in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  How RAG Works: Turn Internal Knowledge Into Better AI Answers 23.09.2026 57m

  Your business already has the answers. The problem is that nobody can find them. But RAG (retrieval-augmented generation), can help with that.In this week’s episode, Jess and Kyle unpack RAG — retrieval-augmented generation — the method that lets an AI model retrieve relevant information from a defined set of documents, databases or research before it generates an answer.From product information and policies to research archives, client documentation and company knowledge, RAG can give an AI assistant the context it needs to answer questions using the information you have chosen.They cover how RAG works, why it differs from fine-tuning, the role of chunking, embeddings, vector databases and citations (but don't be worried by the jargon!), and how to start with a smaller RAG project before building something more sophisticated.They also discuss the biggest AI news story of the year, and the practical AI governance decisions businesses can make now.You’ll learn:What RAG is and how retrieval-augmented generation worksThe difference between RAG and AI fine-tuningHow AI retrieves relevant context from business documents and databasesChunking, embeddings, vector databases, semantic search and citations — explained without the technical overloadWhy current, well-structured documentation matters for reliable AI answersCommon RAG problems, including outdated information, duplicate documents and missing contextHow to start with a smaller RAG project before building a more sophisticated AI knowledge base or internal AI assistantNishma Patel Robb: https://www.linkedin.com/in/nishmapatelrobb/Timestamps:00:43 What We've Been Up To This Week03:29 What Is RAG (Retrieval Augmented Generation)07:23 Why General Chatbots Get Your Business Wrong10:03 How RAG Works Under the Hood11:49 Chunking: How RAG Breaks Your Documents Into Pieces12:59 Embeddings and the Vector Database, Explained15:23 Citations: How RAG Shows Its Sources16:13 RAG vs Fine-Tuning: What's the Difference18:25 Real-World RAG: Onboarding and Shared Team Knowledge23:06 Real-World RAG: Making a News Archive Searchable30:18 Optimizing Onboarding Processes with AI30:54 Why RAG Is Really a Documentation Problem31:30 The Importance of Documentation in RAG Systems33:22 Creating a Single Source of Truth34:51 Ensuring Consistency in Data36:23 Understanding AI Limitations and Hallucinations: RAG Failure Modes40:34 How RAG Handles Conflicting Documents and Version Control43:30 Abstention: Why RAG Should Admit It Doesn't Know44:59 How to Build a Simple RAG With Claude, ChatGPT or NotebookLM48:24 Scaling RAG Systems for Larger Teams49:25 Takeaways51:03 AI News: Dario Amodei on Slowing the AI FrontierResources:https://towardsdatascience.com/the-ultimate-guide-to-rags-each-component-dissected-3cd51c4c0212/https://bytevagabond.com/post/how-to-build-enterprise-ai-rag/https://medium.com/aingineer/a-complete-guide-to-implementing-hybrid-rag-86c0febba474https://arxiv.org/html/2403.01432v3https://www.ibm.com/think/topics/multimodal-raghttps://memgraph.com/blog/what-is-ragGet in Touchhello@earlyadoptr.aiTikTok: @early_adoptrInstagram: @early_adoptrYouTube: @early_adoptrLinkedIn: https://www.linkedin.com/company/early-adoptr/www.earlyadoptr.ai Get in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  Beyond AI Slop: Generative AI, Taste & Creative Judgment (w/ Tom Evans) 16.09.2026 50m

  Is AI making creative work better, or just making more of it?AI can now create ads, social posts, images and campaign ideas in seconds. But when everyone can produce polished content at scale, how do brands avoid generic AI output, and more importantly....still make work that actually stands out?In this episode of Early Adoptr, Jess and Kyle are joined by Tom Evans, founder of brand consultancy BigSmall, to explore where generative AI genuinely helps creative people and where it risks producing more generic, forgettable content. The conversation moves beyond the usual “AI will replace creatives” debate. Instead, it looks at AI as a fast, strange and endlessly available thinking partner...a way to test half-formed thoughts, explore unexpected directions, prototype ideas and close the gap between “what if?” and a tangible first version.They discuss why taste, discernment and a genuine point of view matter more as content becomes cheaper to make; why polished execution is not the same as a good idea; and why small businesses should resist the temptation to publish the first thing an AI tool gives them.How to find Tom & BigSmall:https://www.bigsmall.works/https://www.linkedin.com/in/tomevansbigsmall/What You'll Learn:How generative AI is changing advertising, design, brand strategy and marketingHow to use AI for creative ideation without producing generic content or AI slopWhy AI-generated ads, images and social posts need stronger creative directionHow small businesses can use AI to develop campaign ideas and marketing conceptsWhat generative AI could mean for creative teams, agencies and junior creative rolesHow AI prototyping tools help non-technical people turn ideas into tangible projectsGet in Touch:hello@earlyadoptr.aiTikTok: @early_adoptrInstagram: @early_adoptrYouTube: @early_adoptrLinkedIn: https://www.linkedin.com/company/early-adoptr/www.earlyadoptr.ai Get in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  How AI Agents Can Model Your Business Before It Breaks (w/ Rich Welsh) 09.09.2026 41m

  What if a digital twin could let you test a business decision before it disrupted your business? Once the preserve of robotics, manufacturing and supply chains, AI is helping digital twins become a practical way to model everyday business decisions, from whether your team can take on another client, what happens if a supplier fails, how a staff shortage affects a schedule, or where a production workflow is likely to bottleneck.In this week's episode, Kyle is away so Jess is joined by Rich Welsh, President of SMPTE (the Society of Motion Picture and Television Engineers) and Chairman of Volustor, to unpack what digital twins actually are and why AI is making them more accessible to smaller businesses. AI can pull together information from the systems you already use, help turn your knowledge of a process into a working model, and spot patterns across schedules, customer behaviour, supplier data and workloads that a human team is unlikely to see in time.They cover how to start with one process rather than trying to model the entire business, how AI agents can monitor what "normal" looks like and flag early warning signs, and how a digital twin can help you test a change before it costs you time, money, or customer trust.Find Rich:https://www.linkedin.com/in/richwelsh-technologist/ Join SMPTE: https://www.smpte.org/ Support the Pod: Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptrGranola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptrTimestamps:00:56 What Is an AI Digital Twin?02:44 Welcome Rich Welsh05:33 Defining an AI Digital Twin: From 3D Scans to Industrial Process Models08:32 How AI Digital Twins Apply to Small Businesses, Not Just Supply Chains11:26 Why Small Businesses Need an AI Digital Twin13:46 Building an MVP with an AI Digital Twin: Lessons From Robotics and Space15:04 The Flip Side: Building an AI Digital Twin of Your Ideal Customer17:11 Using an AI Digital Twin to Predict How Your Team and Customers Will React22:08 Walmart's AI Digital Twin and Why External Factors Need Real AI to Track24:37 The AI Digital Twin That Predicted a Formula One Car Failure Before It Happened31:46 Why a Hybrid Local and Cloud AI Model Wins on Cost37:34 Digital Twins Everywhere by 2030Resources: https://www.ciodive.com/news/Walmart-supply-chain-ai-digital-twin/825119/ https://www.ceepla.com/en/insights/digital-twins-for-sme linkedin.com/pulse/digital-twins-budget-how-smes-can-compete-enterprise-varenas-mba-dtyvc https://iotdigitaltwinplm.com/agentic-digital-twins-ai-driven-industrial-analysis-2026/ https://www.celonis.com/blog/revolutionizing-workflows-with-process-digital-twins google.com/url?q=https://www.aidoos.com/blog/Digital-Twins-for-Small-and-Medium-Businesses-A-Practical-Guide-for-CIOs-and-Business-Owners/&sa=D&source=docs&ust=1788814501342313&usg=AOvVaw08EY_URPU8n3OqSGWsk1KT Get in Touchhello@earlyadoptr.aiTikTok: @early_adoptrInstagram: @early_adoptrYouTube: @early_adoptrLinkedIn: https://www.linkedin.com/company/early-adoptr/www.earlyadoptr.ai Get in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  What Is an AI Agent Harness? How Better AI Setup Makes Agents More Reliable 02.09.2026 48m

  An AI agent harness may be the most important part of an AI tool you never see. Models get most of the attention, but the real difference often comes from everything around the model: what information it can access, which tools it can use and where people need to stay in control.In this week’s episode, Jess and Kyle unpack AI agent harnesses, the increasingly important setup behind AI agents. They explore why two tools using the same model can feel completely different, why more context is not always better, and what to look for when you are choosing an AI tool for your business. They also discuss the AI harnesses you are already using, and why the future of better, faster and cheaper AI may have less to do with the next model release than you think.Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptrGranola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptrRelevant Episodes: Agentic loops: https://earlyadoptr.ai/episodes/agentic-loops-the-engine-behind-vibe-codingWhat is an AI agent: https://earlyadoptr.ai/episodes/what-is-an-ai-agent-a-plain-english-guide-for-business-ownersClaude Skills: https://earlyadoptr.ai/episodes/claude-skills-explained-how-to-stop-repeating-yourself-in-every-sessionTimestamps: 00:43 Intro & What We've Been Up To07:36 What Is an AI Agent Harness?09:56 AI Models, Agents, Skills and Harnesses Explained13:24 The Infrastructure of AI: Harnesses Explained14:29 Real-World Applications of Harnesses16:27 Why AI Agent Harnesses Matter Now20:15 How Cursor and Vercel Reduced AI Agent Token Costs22:46 Why More AI Context and Tools Can Make Results Worse25:00 ChatGPT, Claude and Gemini as AI Agent Harnesses28:01 General AI Chat vs Specialist AI Tools32:50 Agent Harnesses in Your Existing Tools37:45 Configurable AI Agent Harnesses40:44 Why AI Harness Design Matters More Than the Model43:44 AI News of the Week: NVIDIA's Potential Acquisition of Hugging FaceResources: https://medium.com/@adambaitch/the-model-vs-the-harness-which-actually-matters-more-59dd3116bb31 https://www.youtube.com/watch?v=1Ohf2aeSPFA https://www.youtube.com/watch?v=dumoyEGjhD4 https://contextua.dev/model-agent-harness-the-three-layers-most-people-collapse-into-one/ https://www.tencentcloud.com/techpedia/147786?lang=en Get in Touchhello@earlyadoptr.aiTikTok: @early_adoptrInstagram: @early_adoptrYouTube: @early_adoptrLinkedIn: https://www.linkedin.com/company/early-adoptr/www.earlyadoptr.ai Get in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  Open Weight AI Models: How to Cut Your Dependence on Big AI 26.08.2026 55m

  Open weight AI models could give your business more control over AI costs, data privacy and the tools you depend on, but they also mean giving up some of the convenience of ChatGPT and Claude. So when does it make sense to stop renting your AI and start owning more of it?In this week's episode, Jess and Kyle get into what open weight models are, how they differ from closed models like ChatGPT and Claude and from open source, and why the real distinction comes down to access, control and cost rather than anything too technical.They cover the licensing terms to watch, the three ways to run a model and when fine-tuning a small model for one repeatable job beats a big general model on both cost and accuracy. Open weight models aren't something you need to switch to tomorrow, but one to have on your radar as AI works its way into more of how your business runs.Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptrGranola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptrLocal AI episode: https://earlyadoptr.ai/episodes/local-ai-how-to-run-private-low-cost-ai-on-your-own-computerLlama: https://ai.meta.com/blog/large-language-model-llama-meta-ai/Qwen: https://qwen.ai/homeGemma: https://deepmind.google/models/gemma/Phi: https://huggingface.co/microsoft/phi-4Groq: https://groq.com/Together AI: https://www.together.ai/What You'll LearnWhat open weight models are, and how they differ from both closed models and open sourceThe three ways to run one: your own machine, a hosted provider, or your own cloudWhat the licensing terms actually let you do, and when they start to matterWhen fine-tuning a small model for a repeatable task beats a big general model on cost and accuracyA simple framework for deciding when open weight is the right call, and when ChatGPT or Claude still winsTimestamps:00:43 Introduction05:04 Location vs Access: How Open Weight Goes Beyond Local AI07:44 Why It Matters Now: Reducing Your Dependence on the Big AI Providers10:09 What an Open Weight Model Actually Is12:42 How Open Weight Differs From Open Source17:35 What the Licence Lets You Do With an Open Weight Model18:59 Why Your Subscription Price Hides the Real Cost of AI22:03 How Flat Subscriptions Compare to Pay-As-You-Go API Costs24:34 Control and Privacy Over Where Your Data Goes28:28 The Three Ways to Run an Open Weight Model31:54 Using a Model Off the Shelf or Fine-Tuning It35:57 Llama and Qwen, the Best-Known Open Weight Models37:37 Emerging AI Models and Their Capabilities40:09 The Framework for Choosing a Model45:27 How AT&T Fine-Tuned a Small Model to Sort Call Summaries47:13 When to Start Considering an Open Weight Model48:55 AI News of the Week: Reddit Disappears from ChatGPT's CitationsResources:https://www.wsj.com/cio-journal/why-at-t-is-betting-big-on-open-weight-ai-a0ea03b1https://medium.com/@bhagyarana80/why-open-weight-models-matter-more-than-you-think-1d1d8787a4fehttps://mitsloan.mit.edu/ideas-made-to-matter/ai-open-models-have-benefits-so-why-arent-they-more-widely-usedhttps://www.lawfaremedia.org/article/knives-are-out-for-open-weight-ai-modelshttps://www.forbes.com/sites/alexanderpuutio/2026/08/14/theres-inflation-and-then-theres-whatever-a-1100-increase-is/https://www.gumloop.com/blog/open-weight-vs-open-sourceGet in Touchhello@earlyadoptr.aiTikTok: @early_adoptrInstagram: @early_adoptrYouTube: @early_adoptrLinkedIn: https://www.linkedin.com/company/early-adoptr/www.earlyadoptr.ai Get in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  AI Transparency Rules Are Here: What Small Businesses Need to Know About EU AI Act Article 50 (w/ Dr Barry Scannell) 19.08.2026 54m

  The EU AI Act's Article 50 transparency rules are already in force, and they apply to your business whether you're in Dublin or Denver. But what does it actually mean? Do you need to label every piece of AI-generated content? Is your website chatbot regulated? And why is Anthropic watermarking Claude’s output?This week on Early Adoptr, Jess and Kyle are joined by Dr Barry Scannell, Partner at Irish law firm William Fry and an AI law and copyright specialist, to seperate the reality from the online noise around Article 50 of the EU AI Act, the new rules around transparency for AI systems and AI-generated content.In the episode, Barry explains the distinction between an AI provider and deployer, where most Article 50 obligations sit, and why ordinary AI-assisted copy or image editing does not automatically require a disclosure.They also unpack Anthropic’s watermarking of Claude-generated text, the limits of AI-detection tools such as Pangram, copyright risks around AI-generated code and writing, and the narrower legal definition of a deepfake under the EU AI Act.If you run a small business, use AI in marketing, commission work from agencies, operate a chatbot, or are trying to develop a responsible AI policy, this might be one of the most important episodes you listen to all year.PS. We had some technical issues on this episode, so we apologise for the audio quality! A big thanks to friend of the pod Bobby Vasquez for his audio engineering support.How to find Barry:LinkedIn: https://www.linkedin.com/in/dr-barry-scannell-bbb5aa207/How to Be a Good Human in the Loop with AI: https://earlyadoptr.ai/episodes/how-to-be-a-good-human-in-the-loop-with-aiWispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptrGranola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptrWhat You'll Learn:What Article 50 of the EU AI Act covers and why it matters beyond the EUThe difference between an AI provider and an AI deployerWhen branding or commissioning an AI chatbot could make your business a providerWhy the transparency burden generally falls on AI companies and system providersWhat counts as a deepfake under the Act and what doesn'tWhether AI-generated social captions, ads, Canva edits, and synthetic content need a labelHow to disclose AI-generated deepfakes through labels, watermarks, metadata, or platform toolsWhy Anthropic’s text watermarking may go further than EU guidance requiresWhy AI-generated material may not receive copyright protection in many jurisdictionsWhy AI-detection tools should not be treated as conclusive proofHow AI literacy and responsible use can become a competitive advantageResources:EU AI Act: https://artificialintelligenceact.eu/article/50/Article 50 Obligations: https://www.williamfry.com/knowledge/part-1-ai-act-articles-501-and-502-transparency-obligations/EU AI Transparency Toolkit: https://www.simmons-simmons.com/en/products/eu-ai-act-transparency-toolkitFAQs: https://digital-strategy.ec.europa.eu/en/faqs/transparency-obligations-under-article-50-ai-actAnthropic watermarks Claude's output: https://aiweekly.co/alerts/anthropic-adopts-eu-ai-act-code-watermarks-claude-outputGet in Touchhello@earlyadoptr.aiTikTok: @early_adoptrInstagram: @early_adoptrYouTube: @early_adoptrLinkedIn: https://www.linkedin.com/company/early-adoptr/https://www.earlyadoptr.ai/Get in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  How to Be a Good Human in the Loop with AI 12.08.2026 58m

  We talk a lot about keeping a human in the loop, but what does that actually mean in your day to day? You read the AI output, it looks right, you approve it, and you move on. But from late 2027 that might not be enough, because Article 14 of the EU AI Act comes into full enforcement.So what does it take to be a good human in the loop? You almost certainly have the skills already, and this episode is about putting them to work.In this week's episode, Jess and Kyle get into what human-in-the-loop AI looks like in practice, the four levels of oversight, the value of domain expertise and context expertise, the five-step framework for being a good human in the loop, and how HITL skills can future proof your career.What You'll LearnWhat human in the loop actually meansWhat Article 14 of the EU AI Act means for high-risk systemsThe levels of human oversightDomain expertise and context expertiseJudgement, context and accountability as career skillsA five-step framework for owning an AI decisionHow much friction to build in, and whereWhen a recurring mistake is a system problemUse these links for a discount on the tools we recommend (and it supports the pod!)Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptrGranola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptrResearch: https://www.linkedin.com/pulse/how-good-human-loophitl-ray-floyd-17znc/ https://www.itbrew.com/stories/2026/03/16/what-makes-a-good-human-in-the-loop https://www.mimasolution.com/ai-act/article-14 https://www.kiteworks.com/regulatory-compliance/human-in-the-loop-ai-compliance/ https://www.datacamp.com/blog/human-in-the-loop-hitl https://www.ibm.com/think/topics/human-in-the-loop Timestamps: 00:00 Introduction and Weekly Updates04:46 AI News of the Week: AI News: Article 50 of the EU AI Act Is Now Live07:11 Why LinkedIn and Substack Are Labelling AI Content09:07 Article 14: When Human Oversight Becomes a Legal Duty09:50 Why Oversight Matters More When AI Takes Action12:17 What Human in the Loop Actually Means13:12 Levels of AI Oversight17:59 The Role of Domain and Context Experts20:45 What Domain Expertise Means for AI Oversight25:22 Context Expertise: The Business Knowledge That Lives Only in Your Head29:46 Why Compliance Risk Lands on You, Not the AI32:31 Future-Proofing Your Career in the Age of AI34:39 Judgment, Context, and Accountability in Decision-Making41:34 The Framework for Becoming a Good Human in the LoopGet in Touchhello@earlyadoptr.aiTikTok: @early_adoptrInstagram: @early_adoptrYouTube: @early_adoptrLinkedIn: https://www.linkedin.com/company/early-adoptr/www.earlyadoptr.aiNote: The written and scripted content for this episode was created with the assistance of various AI models.Get in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  Local AI: How to Run Private, Low-Cost AI on Your Own Computer 05.08.2026 56m

  What if your AI ran entirely on a laptop you own, added nothing to your monthly bill, and never sent your data anywhere? That's local AI. It might sound too good to be true, but as token costs climb and concerns about data privacy grow, local AI and small language models could be the solution.In this episode, Jess and Kyle get into what local AI actually is, why running smaller models on your own machine has become a real option, and where it fits for a non-technical business. They cover the difference between small language models and the big cloud tools, what open weight models change, the jobs local AI is best suited to, the hardware it takes to run one, and why a hybrid of local and cloud is the right answer for almost every small business rather than going all in on either.MCP Episode:Small Language Model Episode:Enterprise Nation AI Agent WebinarWhat You'll Learn:What local AI actually meansHow running a small language model on your own laptop keeps sensitive data off a third party's serversThe difference between a small language model and the large modelsWhat "open weight" models areWhat jobs local AI is good atConsiderations for the hardware needed to run local AIWhat apps you can use to run local AIResources: Small Language Models are the Future of Agentic AIThe Ultimate Guide to Local AI and AI Agents What is Local AI: The Complete Guide to Running AI on Your Own HardwareHow to Build Local AI LM Studio OllamaOsaurusTimestamps:00:00 Introduction and Weekly Updates04:45 What Local AI Actually Means07:45 Small Language Models Explained13:55 What Open Weight Models Are and Why They Matter13:55 Understanding Open Weight Models17:31 The Rise of Local AI and Its Applications27:25 Hardware Considerations for Local AI33:17 Privacy, Control, and Cost in AI Usage34:32 The Rising Cost of Tokens37:45 Speed and Efficiency in AI Models38:57 Control and Ownership of AI Models41:02 Challenges of Running Local AI44:24 Local AI and Agents47:27 The Hybrid Approach to AI Solutions48:11 Key Takeaways for Implementing Local AI49:50 AI News of the WeekGet in Touch:hello@earlyadoptr.aiTikTok: @early_adoptrInstagram: @early_adoptrYouTube: @early_adoptrLinkedIn: https://www.linkedin.com/company/early-adoptr/www.earlyadoptr.aiGet in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  Just Because You CAN Vibe Code....SHOULD You Vibe Code? (w/ Sean Bhardwaj) 29.07.2026 1h 6m

  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:https://breakthroughgrow.com/https://www.linkedin.com/in/seanbhardwaj/Vibe Coding Series:Vibe Coding for Non-Technical Founders: https://www.earlyadoptr.ai/episodes/vibe-coding-for-non-technical-founders-tools-models-and-how-to-startWhy Your AI Keeps Forgetting You (w/ Rob Webster): https://www.earlyadoptr.ai/episodes/why-your-ai-keeps-forgetting-you-and-the-folder-that-fixes-it-w-rob-websterClaude Code vs Cowork (w/ Sean Bhardwaj): https://www.earlyadoptr.ai/episodes/claude-code-vs-cowork-what-non-technical-founders-need-to-know-w-sean-bhardwajClaude Code Without the Code (w/ Sean Bhardwaj): https://www.earlyadoptr.ai/episodes/claude-code-without-the-code-a-non-developer-s-week-in-review-w-sean-bhardwajAgentic Loops: https://www.earlyadoptr.ai/episodes/agentic-loops-the-engine-behind-vibe-codingVibe Coding: What to Do After the App Is Built: https://www.earlyadoptr.ai/episodes/vibe-coding-what-to-do-after-the-app-is-builtWhat You'll LearnWhy the difficult part of building software has moved from writing the code to getting real people to actually use what you have made.The security and data questions to ask before you build anything that holds customer detailsWhat you should never vibe codeWhen an open-source tool makes more senseHow to learn vibe coding without clearing your calendar,Use these links for a discount on the tools we recommend (and it supports the pod!)Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptrGranola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptrTimestamps:00:43 Introduction05:22 Wrapping the Vibe Coding Series07:50 AI in the News: AI Models Break Out of a Sandbox and Hack Hugging Face13:25 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 Part21:38 The Security and Data Risk of Vibe Coding24:33 Why Vibe Coding Still Needs Human Judgement26:59 Open Source vs Vibe-Coded: The CRM Example28:43 What You Should Never Vibe Code29:59 Governance, AI Policy and When an Agent Goes Rogue34:43 How to Learn Vibe Coding Without Clearing Your Calendar40:34 Rolling AI Out Across a Whole Organisation48:19 You're Not Behind: AI Hype, ROI and Adoption53:45 Should Non-Technical Founders Just Stay in Cowork?58:43 Building Is No Longer the Bottleneck, Distribution Is01:00:56 Can Anyone Vibe Code? The Final Verdicts01:04:12 Final Reflections on the Vibe Coding SeriesResearch:https://www.wired.com/story/openai-models-escaped-containment-and-hacked-huggingface/Jack Dorsey interview: https://www.youtube.com/watch?v=YTVSwOY19QsGet in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
• 
  Vibe Coding: What to Do After the App Is Built 22.07.2026 56m

  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 LearnWhat vibe slop is, and why most AI-built apps have it without their builders realisingWhy AI-generated code carries a specific category of security risksThe operational layer between building something and running it safely, covering configuration, access control, monitoring, and dependenciesA practical five-step security checklist to run through before anyone else touches what you've builtHow to tell when your app has outgrown what you can safely manage, and what that decision actually looks like in practiceUse these links for a discount on the tools we recommend (and it supports the pod!)Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptrGranola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptrTimestamps:00:00 Intro04:44 Why Building With AI Is the Easy Part07:01 What Vibe Coding Actually Builds09:32 Vibe Slop: Why AI-Generated Code Isn't Ready to Launch12:24 Security Risks Vibe Coders Typically Miss15:17 What Maintaining a Vibe-Coded App Actually Involves16:17 How Real Users Actually Use a Vibe-Coded App18:00 The Hidden Layers of App Development20:59 Deployment vs Configuration: The Key Differences23:45 Access Control: Who Can Actually See Your Users' Data25:37 App Monitoring: How to Spot Problems in Your AI-Built App28:51 Dependencies: The Third-Party Code Running Inside Your App34:04 AI's Role in Development: Confidence vs Reality37:53 The Five-Step Security Checklist for AI-Built Apps40:33 Version Control and Rollbacks: How to Protect What You've Built43:52 When to Call a Developer: The Signs Your App Has Outgrown You47:07 Ongoing Maintenance: Keeping Your Vibe-Coded App Safe Over Time49:29 Key Takeaways for Safe Development53:37 Wrapping up for the Week54:09 AI in the News: Apple vs OpenAI and Paying Twice for AIRESEARCH:https://charliehills.substack.com/?_bhlid=c1b7f9fda51baf0227c089624042aaa0e89b040f https://www.wsj.com/tech/ai/vibe-coding-slop-ai-tools-e6a99394 What exactly is vibe coding? (MIT Technology Review)https://www.wired.com/story/thousands-of-vibe-coded-apps-expose-corporate-and-personal-data-on-the-open-web/https://www.wired.com/story/normie-vibe-code/https://www.itbrew.com/stories/2026/04/21/so-your-employee-made-an-app-a-vibe-coding-checklisthttps://www.kaspersky.co.uk/blog/safer-vibe-coding-2026/30306/https://www.vybe.build/blog/vibe-coding-for-non-technical-founders https://the-stack-overflow-podcast.simplecast.com/episodes/youve-vibe-coded-an-app-now-what https://www.theguardian.com/technology/2026/jul/10/apple-sues-openai-trade-secrets https://techcrunch.com/2026/07/13/satya-nadella-has-issued-a-shocking-warning-to-companies-using-ai/ Get in Touchhello@earlyadoptr.aiTikTok: @early_adoptrInstagram: @early_adoptrYouTube: @early_adoptrLinkedIn: https://www.linkedin.com/company/early-adoptr/www.earlyadoptr.ai Get in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  Agentic Loops: The Engine Behind Vibe Coding 15.07.2026 49m

  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!)Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptrGranola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptrVibe Coding Series: Claude Skills: https://www.earlyadoptr.ai/episodes/claude-skills-explained-how-to-stop-repeating-yourself-in-every-session https://www.earlyadoptr.ai/episodes/claude-code-without-the-code-a-non-developer-s-week-in-review-w-sean-bhardwaj https://www.earlyadoptr.ai/episodes/claude-code-vs-cowork-what-non-technical-founders-need-to-know-w-sean-bhardwaj https://www.earlyadoptr.ai/episodes/why-your-ai-keeps-forgetting-you-and-the-folder-that-fixes-it-w-rob-webster https://www.earlyadoptr.ai/episodes/vibe-coding-for-non-technical-founders-tools-models-and-how-to-start What You'll Learn: What an agentic loop actually is, how it connects to AI agents and AI workflow automation more broadlyHow loops are from a basic prompt-and-response exchange or a standard automationThe three types of loopThe three things every loop needs to workWhy a vague goal compounds quicklyHow to improve a loop over timeWhy cost and overbuilding are the biggest risks Where the human in the loop still sitsTimestamps: 00:50 Introduction and Personal Updates07:36 What an Agentic Loop Is and Why It Powers Vibe Coding11:01 The Three Things Every Loop Needs to Work15:23 Scheduled, Event-Triggered, and Goal-Based: The Three Types of Loop16:32 Loops vs Basic Automations18:56 The Importance of Human In the Loop20:43 Improving Your Loop Over Time24:55 What loops look like in practice30:52 What loops take off your plate31:46 Where loops go wrong36:46 The Importance of Oversight in Automation37:43 Keeping Loops Simple and Effective41:39 Practical Takeaways for Implementing Loops45:11 News of the Week: ChatGPT 5.6 Models47:05 What's next in the vibe coding seriesResources: https://www.lennysnewsletter.com/p/how-i-ai-how-to-write-ai-agent-loopshttps://haystack.deepset.ai/blog/context-engineering https://code.claude.com/docs/en/agent-sdk/agent-loop https://martinfowler.com/articles/exploring-gen-ai/humans-and-agents.html https://blogs.oracle.com/developers/what-is-the-ai-agent-loop-the-core-architecture-behind-autonomous-ai-systems https://arxiv.org/html/2607.01641v1 https://www.theverge.com/ai-artificial-intelligence/963464/openai-gpt-5-6-codex-chatgpt-work Get in Touchhello@earlyadoptr.aiTikTok: @early_adoptrInstagram: @early_adoptrYouTube: @early_adoptrLinkedIn: https://www.linkedin.com/company/early-adoptr/www.earlyadoptr.ai Get in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  Claude Code Without the Code: A Non-Developer's Week in Review (w/ Sean Bhardwaj) 08.07.2026 1h 7m

  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-knBasics of Vibe-coding: https://shows.acast.com/early-adoptr/episodes/vibe-coding-for-non-technical-founders-where-things-actuallyHow 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-roHow to find Sean:https://breakthroughgrow.com/https://www.linkedin.com/in/seanbhardwaj/Use these links for a discount on the tools we recommend (and it supports the pod!)Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptrGranola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptrIn this episode:How Claude Code's modes (plan, think, auto) work and which to reach forRunning several tasks at the same time and what it does to your output speedMonitoring and automation: setting Claude Code to act when something changesManaging how much effort Claude Code puts in and avoiding burning through your usageComparing Claude Code and Cowork: what each one is actually better atSean's week-long experiment switching exclusively to Claude CodeJess's round-up from Cannes Lions 2026 and what was different about AI conversations this yearTimestamps:00:00 - Introduction, Cannes Lions and the Claude Fable 5 update11:06 - What agents actually are in Claude Code13:26 - Plan mode, thinking mode and auto mode19:28 - How Claude Code can work on several things at once27:26 - Making the most of your Claude Code usage28:42 - Set it and forget it: monitoring with Claude Code31:05 - Why batching your focus time matters33:11 - Setting Claude Code to watch for something and act when it happens35:39 - The Claude Code controls that give you more say over how it works38:20 - How to stop Claude Code from using more than you need41:13 - Cowork vs Claude Code: Sean's verdict46:14 - Quick wins for non-technical users47:28 - Why Sean made the switch47:52 - One week in Claude Code: what actually happened50:28 - How to check in on a running Claude Code session from your phone53:20 - How skills work in Claude Code56:09 - Why thinking through what you want before Claude starts gets better results58:58 - When Claude Code overdoes it and Cowork is the simpler choice01:02:07 - Where AI tools like Claude Code are heading nextGet in Touchhello@earlyadoptr.aiTikTok: @early_adoptrInstagram: @early_adoptrYouTube: @early_adoptrLinkedIn: https://www.linkedin.com/company/early-adoptr/www.earlyadoptr.ai Get in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  Claude Code vs Cowork: What Non-Technical Founders Need to Know (w/ Sean Bhardwaj) 01.07.2026 44m

  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:https://breakthroughgrow.com/https://www.linkedin.com/in/seanbhardwaj/Use these links for a discount on the tools we recommend (and it supports the pod!)Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptrGranola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptrWhat You'll Learn:Why Cowork and Claude Code are not the same environment and why that distinction mattersWhat Cowork's sandbox actually protects you from (and why it's intentional)What you gain in Claude Code that you can't get in CoworkThe framework for choosing between the two depending on what you're buildingThe one setup rule that removes most of the risk in Claude CodeWhat staging and production actually meanWhy VS Code makes Claude Code feel far less intimidatingHow vibe coding works on an existing codebase, not just when starting from scratchTimestamps:00:00 Introduction01:41 Reintroducing Sean Bhardwaj04:26 Sean's journey as a non-technical vibe coder07:04 How far vibe coding can actually take you09:57 Why Cowork beats basic chat for knowledge work12:04 Folder structure and context14:20 What Claude Code gives you that Cowork doesn't17:04 Where Cowork's limits are19:50 Deciding Between Co-Work and Code25:13 When to use Cowork vs. Claude Code28:42 How much coding do you need to know?30:09 How to set up Claude Code safely33:25 The Importance of Setup: Staging vs. production35:50 Navigating Existing Code Bases vs. Starting Fresh38:07 The Role of Agents in Coding and Co-WorkGet in Touchhello@earlyadoptr.aiTikTok: @early_adoptrInstagram: @early_adoptrYouTube: @early_adoptrLinkedIn: https://www.linkedin.com/company/early-adoptr/https://www.earlyadoptr.ai/Get in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.
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  Why Your AI Keeps Forgetting You, and the Folder That Fixes It (w/ Rob Webster) 24.06.2026 1h 3m

  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 LearnWhy AI tools lose context between sessionsWhy folder-based context is better than any system promptThe difference between always-on context (the things permanently true about you, your role, and your business) and situational context you load in only for specific tasks or clientsHow to build a simple folder structure , what files to put in it, and how tools like Claude read that context automatically so you don't have to paste it in every timeHow to decide what information should live permanently in your files versus what's transitory context that should be removed once a project or idea is doneWhat "context drift" is and why long conversations degrade even when you've done the setup correctly — and how to catch it earlyHow this same folder structure becomes the foundation for more advanced AI work, including Claude Cowork and building your own AI agentsRob 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!)Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptrGranola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptrTimestamps:00:00 Introduction03:48 Why Boring AI Habits Beat Impressive Ones08:23 Two Kinds of Context: Always On vs Load When You Need It10:50 Reintroducing Rob Webster12:57 Why AI Forgets Everything Between Sessions16:43 What You're Losing Every Time You Open Claude Without Context22:37 Context Drift: Why AI Outputs Get Worse the More You Use It25:52 How to Start Giving Your AI Context About Who You Are32:01 Making It Stick: Naming Chats, Pinning Projects, Starting Your Folders35:28 What a Working Folder Structure Actually Looks Like37:04 Where to Store Your AI Context Files (Local vs Cloud)46:40 Global vs Project-Specific: The About Me Folder and Beyond53:47 How AI Reads Context56:12 How This Scales Into Agents, Claude Code, and Vibe CodingGet in Touchhello@earlyadoptr.aiTikTok: @early_adoptrInstagram: @early_adoptrYouTube: @early_adoptrGet in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:IG: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpod Hosted on Acast. See acast.com/privacy for more information.