Early Adoptr: Simplifying AI For Founders & Small Businesses

Early Adoptr
  • 5.0 (13)
  • Technology
  • Updated Weekly

Early Adoptr is the weekly AI podcast for founders, entrepreneurs and small business owners who want practical ways to use AI tools in their business, without needing a technical background. Hosted by Jess and Kyle, Early Adoptr tests the AI tools, automations and workflows that matter to real businesses. Every episode answers the questions busy founders are asking: Which AI tools are worth using? What can they actually do? And how can you put them to work without wasting time or money? From AI agents and open source models to vibe coding, AEO and agent harnesses, Jess and Kyle cut through the hype to explain what is changing, what works in practice and where to start. Expect honest tool tests, plain-English explainers, practical workflows and useful ideas for using AI to save time, improve operations, market your business and make better decisions. Think of it as two slightly obsessed friends trying the latest AI tools first, then reporting back with the useful bits. New episodes every week on Apple Podcasts, Spotify, YouTube and wherever you listen. Hosted on Acast. See acast.com/privacy for more information.

  1. 4d ago

    Has Claude’s Output Got Worse? Here’s What You Can Control | Re-release with Rob Webster

    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 Learn Why 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 agents Timestamps: 00:43 Introduction and Weekly Updates 03:09 Claude’s Output Has Got Worse, So We’re Revisiting Our Setups 11:12 Markdown Files and the Two Types of AI Context 14:24 Reintroducing Rob Webster 16:31 The Goldfish with a PhD: Why AI Forgets Everything 20:17 What You're Losing Every Time You Open Claude Without Context 26:11 Context Drift: Why AI Outputs Get Worse the More You Use It 29:26 How to Start Giving Your AI Context About Who You Are 35:35 Making It Stick: Naming Chats, Pinning Projects, Starting Your Folders 39:02 What a Working Folder Structure Actually Looks Like 40:38 Where Your Files Should Live 50:14 Global vs Project-Specific: The About Me Folder and Beyond 57:21 How AI Reads Context 59:47 How This Scales Into Agents, Claude Code, and Vibe Coding Resources: 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.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.

  2. Sep 23

    How RAG Works: Turn Internal Knowledge Into Better AI Answers

    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 assistant Nishma Patel Robb: https://www.linkedin.com/in/nishmapatelrobb/ Timestamps: 00:43 What We've Been Up To This Week 03:29 What Is RAG (Retrieval Augmented Generation) 07:23 Why General Chatbots Get Your Business Wrong 10:03 How RAG Works Under the Hood 11:49 Chunking: How RAG Breaks Your Documents Into Pieces 12:59 Embeddings and the Vector Database, Explained 15:23 Citations: How RAG Shows Its Sources 16:13 RAG vs Fine-Tuning: What's the Difference 18:25 Real-World RAG: Onboarding and Shared Team Knowledge 23:06 Real-World RAG: Making a News Archive Searchable 30:18 Optimizing Onboarding Processes with AI 30:54 Why RAG Is Really a Documentation Problem 31:30 The Importance of Documentation in RAG Systems 33:22 Creating a Single Source of Truth 34:51 Ensuring Consistency in Data 36:23 Understanding AI Limitations and Hallucinations: RAG Failure Modes 40:34 How RAG Handles Conflicting Documents and Version Control 43:30 Abstention: Why RAG Should Admit It Doesn't Know 44:59 How to Build a Simple RAG With Claude, ChatGPT or NotebookLM 48:24 Scaling RAG Systems for Larger Teams 49:25 Takeaways 51:03 AI News: Dario Amodei on Slowing the AI Frontier Resources: 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-rag Get in Touch hello@earlyadoptr.ai 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.

  3. Sep 16

    Beyond AI Slop: Generative AI, Taste & Creative Judgment (w/ Tom Evans)

    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 projects Get in Touch: hello@earlyadoptr.ai 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.

  4. Sep 9

    How AI Agents Can Model Your Business Before It Breaks (w/ Rich Welsh)

    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-adoptr Granola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptr Timestamps: 00:56 What Is an AI Digital Twin? 02:44 Welcome Rich Welsh 05:33 Defining an AI Digital Twin: From 3D Scans to Industrial Process Models 08:32 How AI Digital Twins Apply to Small Businesses, Not Just Supply Chains 11:26 Why Small Businesses Need an AI Digital Twin 13:46 Building an MVP with an AI Digital Twin: Lessons From Robotics and Space 15:04 The Flip Side: Building an AI Digital Twin of Your Ideal Customer 17:11 Using an AI Digital Twin to Predict How Your Team and Customers Will React 22:08 Walmart's AI Digital Twin and Why External Factors Need Real AI to Track 24:37 The AI Digital Twin That Predicted a Formula One Car Failure Before It Happened 31:46 Why a Hybrid Local and Cloud AI Model Wins on Cost 37:34 Digital Twins Everywhere by 2030 Resources: 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 Touch hello@earlyadoptr.ai 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.

  5. Sep 2

    What Is an AI Agent Harness? How Better AI Setup Makes Agents More Reliable

    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-adoptr Granola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptr Relevant Episodes: Agentic loops: https://earlyadoptr.ai/episodes/agentic-loops-the-engine-behind-vibe-coding What is an AI agent: https://earlyadoptr.ai/episodes/what-is-an-ai-agent-a-plain-english-guide-for-business-owners Claude Skills: https://earlyadoptr.ai/episodes/claude-skills-explained-how-to-stop-repeating-yourself-in-every-session Timestamps: 00:43 Intro & What We've Been Up To 07:36 What Is an AI Agent Harness? 09:56 AI Models, Agents, Skills and Harnesses Explained 13:24 The Infrastructure of AI: Harnesses Explained 14:29 Real-World Applications of Harnesses 16:27 Why AI Agent Harnesses Matter Now 20:15 How Cursor and Vercel Reduced AI Agent Token Costs 22:46 Why More AI Context and Tools Can Make Results Worse 25:00 ChatGPT, Claude and Gemini as AI Agent Harnesses 28:01 General AI Chat vs Specialist AI Tools 32:50 Agent Harnesses in Your Existing Tools 37:45 Configurable AI Agent Harnesses 40:44 Why AI Harness Design Matters More Than the Model 43:44 AI News of the Week: NVIDIA's Potential Acquisition of Hugging Face Resources: 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 Touch hello@earlyadoptr.ai 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.

  6. Aug 26

    Open Weight AI Models: How to Cut Your Dependence on Big AI

    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-adoptr Granola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptr Local AI episode: https://earlyadoptr.ai/episodes/local-ai-how-to-run-private-low-cost-ai-on-your-own-computer Llama: https://ai.meta.com/blog/large-language-model-llama-meta-ai/ Qwen: https://qwen.ai/home Gemma: https://deepmind.google/models/gemma/ Phi: https://huggingface.co/microsoft/phi-4 Groq: https://groq.com/ Together AI: https://www.together.ai/ What You'll Learn What 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 wins Timestamps: 00:43 Introduction 05:04 Location vs Access: How Open Weight Goes Beyond Local AI 07:44 Why It Matters Now: Reducing Your Dependence on the Big AI Providers 10:09 What an Open Weight Model Actually Is 12:42 How Open Weight Differs From Open Source 17:35 What the Licence Lets You Do With an Open Weight Model 18:59 Why Your Subscription Price Hides the Real Cost of AI 22:03 How Flat Subscriptions Compare to Pay-As-You-Go API Costs 24:34 Control and Privacy Over Where Your Data Goes 28:28 The Three Ways to Run an Open Weight Model 31:54 Using a Model Off the Shelf or Fine-Tuning It 35:57 Llama and Qwen, the Best-Known Open Weight Models 37:37 Emerging AI Models and Their Capabilities 40:09 The Framework for Choosing a Model 45:27 How AT&T Fine-Tuned a Small Model to Sort Call Summaries 47:13 When to Start Considering an Open Weight Model 48:55 AI News of the Week: Reddit Disappears from ChatGPT's Citations Resources: 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-source Get in Touch hello@earlyadoptr.ai 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.

  7. Aug 19

    AI Transparency Rules Are Here: What Small Businesses Need to Know About EU AI Act Article 50 (w/ Dr Barry Scannell)

    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-ai Wispr Flow - AI-powered voice dictation that works across every app on your desktop - https://ref.wisprflow.ai/early-adoptr Granola - The best AI meeting notes! New users get 100% off for their first month - https://www.granola.ai?via=early-adoptr What 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 advantage Resources: 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-output Get in Touch hello@earlyadoptr.ai 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.

  8. Aug 12

    How to Be a Good Human in the Loop with AI

    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 Learn What 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 problem 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-adoptr Research: 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 Updates 04:46 AI News of the Week: AI News: Article 50 of the EU AI Act Is Now Live 07:11 Why LinkedIn and Substack Are Labelling AI Content 09:07 Article 14: When Human Oversight Becomes a Legal Duty 09:50 Why Oversight Matters More When AI Takes Action 12:17 What Human in the Loop Actually Means 13:12 Levels of AI Oversight 17:59 The Role of Domain and Context Experts 20:45 What Domain Expertise Means for AI Oversight 25:22 Context Expertise: The Business Knowledge That Lives Only in Your Head 29:46 Why Compliance Risk Lands on You, Not the AI 32:31 Future-Proofing Your Career in the Age of AI 34:39 Judgment, Context, and Accountability in Decision-Making 41:34 The Framework for Becoming a Good Human in the Loop Get in Touch hello@earlyadoptr.ai TikTok: @early_adoptr Instagram: @early_adoptr YouTube: @early_adoptr LinkedIn: https://www.linkedin.com/company/early-adoptr/ www.earlyadoptr.ai Note: 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.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.

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Early Adoptr is the weekly AI podcast for founders, entrepreneurs and small business owners who want practical ways to use AI tools in their business, without needing a technical background. Hosted by Jess and Kyle, Early Adoptr tests the AI tools, automations and workflows that matter to real businesses. Every episode answers the questions busy founders are asking: Which AI tools are worth using? What can they actually do? And how can you put them to work without wasting time or money? From AI agents and open source models to vibe coding, AEO and agent harnesses, Jess and Kyle cut through the hype to explain what is changing, what works in practice and where to start. Expect honest tool tests, plain-English explainers, practical workflows and useful ideas for using AI to save time, improve operations, market your business and make better decisions. Think of it as two slightly obsessed friends trying the latest AI tools first, then reporting back with the useful bits. New episodes every week on Apple Podcasts, Spotify, YouTube and wherever you listen. Hosted on Acast. See acast.com/privacy for more information.

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