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Early Adoptr

Early Adoptr

Business og økonomiFaktaTeknologi

Here's the thing about AI content right now: it's designed to confuse you.Every day, another "AI expert" drops a 47-slide deck about "leveraging synergistic paradigms for exponential optimization." Another guru promises "revolutionary breakthroughs" using terms that sound impressive but mean absolutely nothing.This isn't accidental. It's gatekeeping by design.The AI industry has a vested interest in making this stuff sound impossibly complex. Because if you think you need a PhD to use ChatGPT, you'll pay someone else to do it for you.That's exactly where Early Adoptr comes in.We're startup founders ourselves – we've been in the trenches building companies, not just theorizing about them. We cut through the intentional confusion with the kind of practical, no-BS guidance the AI industry doesn't want you to have.Instead of theoretical frameworks and buzzword bingo, we give you the real breakdown: Which tools actually work (and which ones are just hype), step-by-step implementation guides that don't require a computer science degree, and honest breakdowns of what's worth your time versus what's just Silicon Valley noise.Because the dirty secret of the AI world? Most of these "revolutionary" tools are just fancy calculators. And you don't need a PhD to use a calculator effectively.Your competitors are already building their unfair advantage. Isn't it time you joined them?Check out Early Adoptr - Making AI Your Unfair Advantage Hosted on Acast. See acast.com/privacy for more information.

Siste episoder av Early Adoptr podcast

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  1. Getting Your Business Into the AI Conversation (AEO Strategy Guide) (00:58:25)

    60% of searches now end without a click. If you're still optimizing for Google rankings while your competitors are getting cited by ChatGPT, you're already behind.Answer Engine Optimization (AEO) - also known as GEO, GSO, AIO - is fundamentally changing how customers find businesses. Instead of ranking #1 on Google, you need to become the source that AI engines quote when someone asks a question. This isn't SEO 2.0. It's a complete shift in how search works.What You'll Learn:Why "getting cited" matters more than "ranking high"How LLMs actually decides which sources to quoteTarget's billion-dollar bet on generative commerce (and what it means for small businesses)WHY you need to learn how to optimize for answer enginesKyle and Jess break down the technical mechanics behind AI search, explain why conversational queries are killing traditional keywords, and reveal the end game: purchases happening entirely inside ChatGPT with zero website visits.We also cover this week's AI infrastructure news - OpenAI's massive Nvidia partnership and what it means for tool accessibility - plus product launches from Amazon, Google, and Perplexity that signal where commerce is heading.Part 1 of 2. Next week, we get tactical with implementation frameworks, measurement strategies, and specific actions you can take immediately.Timestamps:00:00 What We've Been Up To This Week04:05 What is AEO and How is it Different from SEO?08:20 The Zero-Click Era: How AI Answers Killed the Blue Link12:36 Getting Cited, Not Ranked: The New Rules of Visibility17:17 Behind the Algorithm: What Makes Content Citation-Worthy to AI21:22 Spam Meets AI: Why Answer Engines Are About to Get Messy22:13 How People Actually Talk to AI (And Why It Matters for Your Business)23:14 The Shift to Conversational Search26:22 Why AI Search Skips the Top of Your Funnel28:59 Target vs. Traditional SEO: A Real-World AEO Success Story32:32 The End Game: When Purchases Happen Inside ChatGPT34:55 If You're Not in the AI Conversation, You're Invisible36:04 Tracking the Untrackable: Measuring Citation Optimization40:03 AI News: The OpenAI-Nvidia Partnership & What It Means for You44:43 AI News of the Week: Amazon Seller Assistant, Google AI Summaries & Perplexity's Email Agent49:10 AI Gone Wrong: How ChatGPT Leaked Private Email Data53:37 Key Takeaways: Why Early AEO Adopters Will Dominate57:35 Wrap Up & Next Week's Tactical Deep DiveThe search landscape is shifting faster than most businesses realize. Share this with founders and marketers who need to understand where traffic is actually coming from now.Follow Early Adoptr:📱 Instagram: https://instagram.com/early_adoptr🎵 TikTok: https://tiktok.com/@early_adoptr💼 LinkedIn: https://linkedin.com/company/early-adoptr📧 Newsletter: https://substack.com/@earlyadoptrpod🔗 Resources: https://linktr.ee/early_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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  2. AI Hallucinations: Why AI Lies With Complete Confidence (And How to Minimise the Risk) (01:00:13)

    In this episode, Kyle and Jess tackle the elephant in the room that's sabotaging AI implementations everywhere: AI hallucinations. If you've ever wondered why ChatGPT confidently tells you complete nonsense, or why that "perfect" AI-generated content turned into a business nightmare, this episode breaks down exactly what's happening under the hood and gives you tips and strategies to help minimise the risk of hallucinations.We also cover YouTube's new AI creator tools, a new movie studio lawsuits, how people are actually using ChatGPT, Italy's groundbreaking AI legislation, and Meta's spectacular demo failure where they accidentally crashed their own presentation.Key Takeaways:The Confidence Trap: AI models are trained to always give answers, even when they should say "I don't know" - leading to authoritative-sounding fictionChain-of-Thought Prompting: Force AI to show its work by asking for step-by-step reasoning instead of direct answersRAG Implementation: Feed AI specific documents instead of relying on training data to eliminate fake citations and statisticsThe 5-Day Safety Plan: Risk-assess your current AI usage, rewrite high-stakes prompts, and build verification workflows before disasters strikeGlossary:AI Hallucination: When AI confidently generates false information, statistics, or citations that sound authoritative but are completely fabricatedChain-of-Thought Prompting: Asking AI to explain its reasoning step-by-step rather than jumping to conclusions, dramatically reducing errorsRAG (Retrieval-Augmented Generation): Providing AI with specific documents to reference instead of relying on potentially outdated training dataConfidence Scoring: Advanced prompting technique where you ask AI to rate its certainty about answers on a 1-10 scaleGet 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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  3. Your Business Data is Messier Than You Think (And Why That Kills AI) (00:55:12)

    In this episode, Kyle and Jess continue their deep dive with data veteran Eric Callahan, exposing the truth about how most businesses actually handle their data. It's messier than you think, and that's exactly why your AI initiatives keep failing.Eric talks us through his "duct tape analogy" - a brutally honest take on why most companies are digital Frankensteins, we get real about technical debt, data hygiene nightmares, and why throwing AI at bad data is like putting premium gas in a broken engine.We also discuss how Spotify turned simple data modeling into viral marketing gold with Spotify Wrapped, why Albania just made history by swearing in an AI advisor, and we have an update to our Anthropic lawsuit settlement from last week.What You'll Learn: Identify Your Duct Tape: Manual processes, constant Excel exports, and "no human should do this" tasks are screaming red flags for technical debt that'll sabotage AI adoptionThe John Smith Problem: Data hygiene isn't sexy, but when John Smith, J. Smith, and John S. are all the same person in your system, your AI will confidently give you wrong answersAI Reality Check: Stop believing the magic. AI is just another output layer - if your data foundation is garbage, your AI insights will be tooThe Spotify Strategy: Their Wrapped phenomenon wasn't AI wizardry, it was smart data architecture from day one.Chapters: 00:00 Intro, Tube Strikes, Furniture Nightmares, Camping and Missing Fingers03:10 You Have More Data Than You Think: Destroying the "Not Enough Data" Myth07:26 Welcome back to Eric Callahan08:44 Why Many Businesses are Held Together with Digital Duct Tape (And How Netflix Avoided This)13:32 Red Flags: How to Spot When Your Data Processes Are Actually Broken16:08 Why Your Data is Messier Than You Realize26:02 Sorry to Break It to You: AI is Not Magic (And Why That's Actually Good News)29:04 The Secret Behind Spotify Wrapped: How Good Data Creates Viral Moments34:12 Your Homework: Create a "Wrapped" Experience That'll Make Customers Obsessed35:53 McDonald's AI Gone Rogue: The Job Application Bot That Exposed Everyone's Data39:52 Why Spotify Can Launch AI Features Overnight (While Your Competitors Can't)42:39 AI News of the Week: Anthropic's Settlement Rejected & Albanian AI Advisor50:03 Your 5-Minute Data Audit: Find the Duct Tape Before It Breaks Everything53:43 Wrapping Up for the Week!Glossary:Technical Debt: Quick-fix solutions that create bigger problems later - like using duct tape to "temporarily" fix something that becomes permanentData Hygiene: Keeping data clean and consistent (ensuring John Smith doesn't appear as five different people in your database)Shift Left: Fixing problems at the source instead of constantly patching them downstreamData Observability: Monitoring systems that catch data problems before they break your dashboards (or 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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  4. The 5-Minute Data Fix That Prevents AI Disasters (01:07:00)

    In this episode of Early Adoptr, Kyle and Jess bust the biggest AI myth of all: “We don’t have enough data.” The truth? You’re already swimming in it. From emails to spreadsheets to customer conversations, every business has more than enough information to start building AI-powered insights.To prove it, they bring in data veteran Eric, who’s spent 15+ years cleaning up messy data for startups and enterprises alike. Eric shares why even Fortune 500s are struggling with data quality, how to avoid AI hype traps, and why the “hot dog story” from his kid’s PTA is the perfect metaphor for every business owner’s data nightmare.You’ll also hear why dashboards break, what “Shift Left” really means, and how to spot untapped data hiding in plain sight. Plus: the latest AI news, from Anthropic’s billion-dollar copyright settlement to sneaky YouTube AI editing.Chapters:04:00 Welcoming Eric Callahan07:52 Why Everyone’s Data Is a Mess and Why It Matters for AI14:10 Big Data, AI FOMO, and Business Reality Checks20:28 Emails, Funnels, and the Hidden Data You Already Own23:56 The Hot Dog Example: Data Engineering for Normal People32:42 Shift Left: Fixing Data Quality Before It Breaks Everything42:21 Following the Data Trail: How Actions Become Insights44:55 Key Takeaways to Make Your Data Work for AI47:30 AI News of the Week: Anthropic Lawsuit & Data Training, ChatGPT's Parental Controls59:43 AI Gone Wrong: YouTube Changes Content Without ConsentWhat You’ll LearnWhy every business already has enough data for AI (and what to do with it).The parallels between today’s AI hype and yesterday’s “big data” craze.How emails, customer interactions, and even paper forms can turn into insights.Why dashboards keep breaking and how “Shift Left” thinking fixes it.The single most important question to ask before you start collecting any data.Glossary:BI (Business Intelligence): Dashboards and reports that turn raw numbers into insights for decision-makers.Data Contracts: Agreements between developers and data teams that keep data clean, consistent, and usable.Data Lifecycle / Funnel Tracking: Following each step a customer or user takes — from first click to final purchase.Event Tracking: Recording specific user actions (like opens, clicks, or purchases) so you can measure and optimize behavior.Get in touch: hello@earlyadoptr.aiFollow Us:Instagram: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpodLinkedIn: https://www.linkedin.com/company/early-adoptrResources: https://linktr.ee/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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  5. Business Data for AI: How to Turn Customer Emails and Invoices Into Competitive Advantage (00:57:08)

    In this episode, Kyle and Jess tackle the biggest myth in AI adoption: "I don't have enough data." The reality? Every business owner is sitting on a goldmine of untapped information - they just don't know how to see it or use it. From email threads to customer support tickets to that "Bible spreadsheet" you've been updating for three years, your business is generating incredible amounts of data every single day.We break down the three types of data your business already has, explain how to actually extract it from your systems without needing a computer science degree, and show you exactly what AI does with all that information once it gets its hands on it. Plus, we dive into the practical side - how connecting different data types can finally prove whether your marketing campaigns actually drive sales, not just open rates.Whether you're drowning in spreadsheets, wondering how to make sense of years of customer emails, or ready to turn your data into your competitive advantage, this episode will change how you think about every business interaction you have.What You'll Learn:The three types of data every business has (and why 80% of yours is probably untapped)How to extract data from your systems: CSV exports vs APIs vs the new Model Context Protocol (MCP)The four-step process AI uses to transform messy business information into actionable insightsWhy combining operational data with customer experience data reveals game-changing patternsData Terminology: API (Application Programming Interface) - A documented doorway that lets different software systems ask each other for specific information securely and automatically.CSV (Comma Separated Values) - A simple file format that stores data in rows and columns, like a basic spreadsheet that any system can read.ETL (Extract, Transform, Load) - The three-step process of pulling data from different places, cleaning it up, and putting it somewhere useful.JSON - A standardized format that systems use to exchange data in a way that's both human-readable and computer-friendly.LLM (Large Language Model) - AI systems like ChatGPT or Claude that can read, understand, and generate human-like text.Mapping - The process of matching data fields from one system to another (like making sure "email" doesn't end up in the "first name" column).MCP (Model Context Protocol) - An emerging standard that lets AI systems directly access live data from your business tools without manual exports.Metadata - "Data about data" - information like timestamps, file sizes, who created something, or when it was last modified.RAG (Retrieval-Augmented Generation) - How AI finds the right pieces of information from a large collection of documents to answer your questions.Semi-Structured Data - Information that has some organization but isn't perfectly clean - like that messy spreadsheet with random notes and merged cells.Structured Data - Information organized in neat rows and columns, like your CRM records or accounting software.Unstructured Data - Messy information like emails, documents, audio recordings, and PDFs that doesn't fit into neat categories.Webhooks - Event triggers that automatically push data from one system to another when something specific happens (like a new customer signup).If this episode helped you realize you're not data-poor after all, share it with another business owner still thinking they need enterprise-level infrastructure to compete with AI.Get in touch with Early Adoptr: hello@earlyadoptr.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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  6. How to Get AI to Actually Do What You Want - Prompt Engineering That Doesn't Suck: Electric Boogaloo (00:59:05)

    In this episode, Kyle and Jess are completely overhaul their most popular episode on prompt engineering, because GPT-5 isn't just faster than GPT-4 - it's fundamentally different. It follows instructions with "surgical precision," handles 800 pages of context at once, and will get confused if you give it contradictory prompts that older models would just ignore. Not to mention there's been a whole host of other updates to prompt engineering that deserve attention too.We dive deep into why role prompting (like "act as a marketing expert") is largely ineffective according to new research, introduce the game-changing 4C Framework that actually works with GPT-5's precision, and show you how few-shot prompting can boost accuracy from 0% to 90%.Plus, we break down the shocking MIT report showing 95% of AI pilots are failing - and why that's actually great news for small businesses.Whether you're frustrated with generic AI responses, wondering why your old prompts don't work as well anymore, or ready to master the communication skills that'll give you a massive competitive advantage, this episode is your roadmap to prompt engineering mastery in 2025.What You'll Learn:Why GPT-5's "surgical precision" requires completely different prompting strategies than GPT-4The 4C Framework: Clear, Context, Constraints, and Calibration for consistent AI resultsWhy "act like an expert" prompts fail and how few-shot examples boost accuracy by 90%How to leverage GPT-5's massive 400,000 token context window for complex business analysisThe difference between GPT-5's fast mode and deep reasoning mode - and when to use eachReal business scenarios: analyzing sales data, communicating project delays, and investor presentations00:00 Intro and a special surprise from CatBus05:00 Revisiting Prompt Engineering - Why It Matters08:16 Prompt Engineering: How Is GPT-5 Different?17:53 Updating Commonly Held Beliefs About Prompt Engineering19:58 WTF is Shot Prompting and How Does It Help Write Better Prompts?21:45 Why You Need to Prioritze Your Context in Prompt Engineering22:36 Decomposition and Self-Criticism in Prompt Engineering25:32 Introducing the 4Cs Framework (+P) of Prompt Engineering34:23 Applying the 4C Framework in the Real World42:34 AI News of the Week: Bad News for Enterprise AI Projects50:19 AI Gone Wrong: A Cautionary Tale56:09 Quick Wins for Effective Prompt Engineering: UpdatedIf this episode helped you finally get consistent results from ChatGPT-5, share it with other business owners still struggling with generic AI responses.Get in touch with Early Adoptr: hello@earlyadoptr.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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  7. Your Laptop Can Run AI Now? Testing Small Language Models So You Don't Have To (00:57:42)

    In this episode, Kyle and Jess get hands-on with Small Language Models (SLMs) - showing you exactly how to set up your own private AI that runs entirely on your laptop. If last week was the "why," this week is all about the "how," complete with real business use cases and a step-by-step quick win you can try today.We dive deep into LM Studio, walk through analyzing business documents without sending data to the cloud, and show you how to create content that actually sounds like you wrote it. Plus, we cover ChatGPT's inevitable move to ads, Perplexity's audacious Chrome acquisition bid, and Meta's absolutely inexcusable chatbot scandal that every parent needs to know about.Whether you're tired of hitting Claude's rate limits, worried about data privacy, or just want an AI assistant that doesn't cost you per query, this episode gives you the practical roadmap to your own local AI setup.What You'll Learn:* How to set up LM Studio and download your first small language model in 15 minutes* Why local AI might actually be faster and more reliable than cloud-based solutions* The privacy advantages that make SLMs perfect for sensitive business data* Why ChatGPT's upcoming ads change everything for business decision-making* Critical red-teaming questions every business owner should ask before launching AI featuresChapters:00:00 Intro, What We've Been Up to This Week and Chipmunk Cheeks09:01 Recap: WTF are Small Language Models (SLMs)?13:16 What Are the Benefits of a Small Language Model for a Small Business?16:54 Small Language Models: Real World Use Cases31:17 Comparing Small Language Models to Large Language Models37:29 Jargon Busting: Why You Should Consider a SLM40:10 AI News of the Week: ChatGPT Ads, Perplexity Wants to Buy Chrome, Illinois & AI Therapy Regulation48:14 AI Gone Wrong: Meta's "How Did This Get Approved?" Moment53:33 Quick Wins: How to Build a Local AIGet in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:Instagram: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpodLinkedIn: https://www.linkedin.com/company/early-adoptrResources: https://linktr.ee/early_adoptrIf this episode convinced you to try building your own local AI, share it with other business owners who are tired of AI subscriptions and rate limits.Get in touch with Early Adoptr: hello@earlyadoptr.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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  8. Small Language Models 101: Why Bigger Isn't Always Better in AI (00:58:11)

    In this episode, Kyle and Jess explore the world of Small Language Models (SLMs) - the focused, cost-effective AI alternatives that might be perfect for your small business. While everyone's talking about expensive enterprise AI solutions, we dive into why smaller, specialized models could be the smarter choice for most business owners.We break down what Small Language Models actually are (hint: think specialist vs. generalist), explore real-world use cases from customer support chatbots to internal knowledge bases, and give you practical tools you can try today. Plus, we cover Switzerland's groundbreaking open-source AI initiative and why Elon Musk's latest deepfake controversy matters for every business owner.Tools We Talk About:- Chatbase.co - https://www.chatbase.co/?via=early-adoptr (If you sign up using this link, we'll earn a small commission at no extra cost!) - Helpjuice: https://helpjuice.com/ - Slite: https://slite.com/ - LM Studio: https://lmstudio.ai/ - Ollama: https://ollama.com/What You'll Learn:Why Small Language Models are like hiring a brilliant specialist instead of an expensive generalistThe real cost differences between SLMs and large enterprise AI solutionsHow to build a customer support chatbot in 15 minutes with no coding experienceWhy privacy and local deployment make SLMs perfect for sensitive business dataChatGPT-5 vs Switzerland's new open source model Practical tools for content generation, email sorting, and employee onboarding using SLMsChapters:0:00 Intro & What We've Been Up To This Week04:03 WTF is a Small Language Model08:35 Small Language Models: Open Source vs Open Weight11:11 Why Would You Use a Small Language Model?12:36 Small Language Models: What's the Catch? Challenges and Limitations of SLMs16:43 Small Language Models: Use Cases & Examples21:43 How Small Language Models Are Great for Data Privacy24:22 What's the Cost of a Small Language Model vs an LLM?26:46 Pitfalls to be Aware of With Small Language Models28:15 Frameworks to Help You Get Started With A Small Language Model30:05 AI News of the Week: ChatGPT-5 & Switzerland Launches an LLM for the Public Good43:52 The Future of AI: Open Source Models49:29 AI Gone Wrong: Grok's New "Spicy" Mode53:26 Quick Wins of the Week for Small Language Models56:48 Small Language Models: Wrapping Things UpGet in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources:Instagram: https://instagram.com/early_adoptrTikTok: https://tiktok.com/@early_adoptrYouTube: https://www.youtube.com/@early_adoptrSubstack: https://substack.com/@earlyadoptrpodLinkedIn: https://www.linkedin.com/company/early-adoptrResources: https://linktr.ee/early_adoptrIf this episode helped you understand Small Language Models and find affordable AI solutions for your business, please share it with other entrepreneurs and small business owners who need practical AI guidance.Get in touch with Early Adoptr: hello@earlyadoptr.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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  9. ChatGPT Agent Review: We Tested OpenAI's New AI Assistant So You Don't Have To (The Good, the Bad and the Frustratingly Slow) (00:59:41)

    In this episode, Kyle and Jess dive deep into OpenAI's much-hyped ChatGPT Agent feature - and spoiler alert: the reality doesn't quite match the marketing. After Kyle spent a week testing everything from flight booking to DMV appointments, we deliver our take on what works, what doesn't, and why you probably shouldn't connect your email just yet.We also cover some critical AI news that affects every business owner: YouTube's controversial AI-powered age detection system and Microsoft's internal list of jobs they believe AI will transform. Plus, two concerning privacy stories from OpenAI that validate everything we've been saying about being careful with sensitive data.Whether you're curious about AI agents, concerned about privacy, or trying to separate AI hype from reality, this episode cuts through the noise with practical insights you can actually use.What You'll Learn:Why ChatGPT Agent feels like watching a toddler use chopsticks (Kyle's words, not ours)The ladder of AI autonomy and where current agents actually fitReal-world test results: flight booking, DMV appointments, and competitive researchCritical privacy concerns every business owner needs to understandA practical framework for deciding when to use ChatGPT Agent (and when to skip it)Chapters:Intro & What We've Been Up to This Week03:43 ChatGPT Agent - Our Honest Review05:42 AI Agents: A Quick Review & the Ladder of Autonomy10:38 ChatGPT Agent: How It Works18:09 ChatGPT Agent: How Does It Handle Tasks?22:39 ChatGPT Agent: Pros & Cons24:39 ChatGPT Agent: The Reddit Verdict29:50 ChatGPT Agent: More Pros & Cons32:50 What Does the Internet Look Like in a World of Agents?35:18 ChatGPT Agent: When SHOULD You Use It?40:57 ChatGPT Agent: Final Impressions41:35 AI News of the Week: YouTube AI-Powered Age Verification and Microsoft Jobs Report51:12 AI Gone Wrong: OpenAI Privacy Concerns56:42 Quick Wins of the WeekGet in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources: Instagram: https://instagram.com/early_adoptr TikTok: https://tiktok.com/@early_adoptr YouTube: https://www.youtube.com/@early_adoptr Substack: https://substack.com/@earlyadoptrpod LinkedIn: https://www.linkedin.com/company/early-adoptr Resources: https://linktr.ee/early_adoptrIf this episode helped you set realistic expectations for AI agents and navigate privacy concerns safely, please share it with other founders and entrepreneurs who need this reality check.Get in touch with Early Adoptr: hello@earlyadoptr.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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  10. Minimum Viable AI Policy: The Framework Every Business Needs in 2025 (00:57:43)

    In this episode, it's the final part of our three-part series with Sean Bhardwaj from Breakthrough Growth Partners. If you missed parts one and two, we highly recommend going back to listen - they set the foundation for today's practical framework.This week, we're diving into the solution: how to actually create an AI policy framework that protects your business while enabling confident AI adoption. Sean introduces his "Minimum Viable AI Policy" (MV(AI)P) - a simple, one-page document that answers four critical questions every business needs to address before implementing AI tools.We also cover Amazon's acquisition of the $50 Bee wearable device that listens to everything you say, and the White House's new AI Action Plan that could reshape how entrepreneurs access and use AI technology.Plus, our AI Gone Wrong segment features a jaw-dropping story about an AI coding agent that completely ignored explicit instructions and deleted an entire production database - a perfect example of why having proper guardrails isn't optional.Whether you're a founder, entrepreneur, or business owner who's been experimenting with AI tools, this episode provides the practical framework you need to use AI safely and strategically.What You'll Learn:How to create a Minimum Viable AI Policy in under an hourThe four essential questions every AI policy must answerWhy transparency beats perfection when AI mistakes happenHow to implement proper guardrails between development and production environmentsStrategies for managing shadow AI usage in your organizationQuick wins you can implement this week to protect your businessGet in touch with Sean:Website: https://breakthroughgrow.com/ Email: sean@breakthroughgrow.com LinkedIn: https://www.linkedin.com/in/seanbhardwaj/Sean is offering complimentary 30-minute strategy sessions for Early Adoptr listeners - just mention the podcast when you reach out.Get in touch with Early Adoptr: hello@earlyadoptr.aiFollow Us on Socials & Resources: https://linktr.ee/early_adoptrIf this episode helped you understand the importance of AI policies for your business, please share it with other founders and entrepreneurs who could benefit from this framework.Get in touch with Early Adoptr: hello@earlyadoptr.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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  11. The Ultimate Guide to AI Pitfalls And the Framework to Avoid Them (with Sean Bhardwaj) (01:01:49)

    In this episode, it's part two of a  three-part series with Sean Bhardwaj from Breakthrough Growth Partners. If you missed part one, we highly recommend going back to listen - it sets the foundation for today's discussion.This week, we're tackling the uncomfortable truth about AI adoption: why most AI initiatives fail (it's usually not because of the technology itself!).  Sean breaks down the five major pitfalls that consistently trip up businesses, no matter how big or small your business is, and provides practical guidance on how to avoid these costly mistakes.We also cover some notable AI news developments, including OpenAI's new ChatGPT Agent, Mistral AI's latest updates, and an entertaining follow-up to our Atari chess story that you won't want to miss.Whether you're a founder, entrepreneur, or business owner trying to navigate AI adoption thoughtfully, this episode provides actionable frameworks you can implement immediately.What You'll Learn:Why 80-90% of AI pilots fail and how to avoid being part of that statisticSean's five-pitfall framework for successful AI implementationHow to identify and address shadow AI usage in your organizationStrategies for building team confidence in AI tools without overwhelming busy schedulesHow to determine if your company is ready for AI adoptionChapters:04:04 The Pitfalls of AI and How to Avoid Them05:53 Pitfalls of Implementing AI and How to Avoid Them07:29 Pitfall #1: Ready, Fire, Aim - Misaligned Goals13:36 Pitfall #2: Weak Leadership or Team Support18:44 Pitfall #3: Data Quality & Tech Foundations29:55 Pitfall #4: Ethics & Compliance Gaps35:54 Pitfall 5: Underdeveloped Skills & Culture40:52 How to Avoid AI Pitfalls43:42 How to Rebuild Trust When Things Go Wrong45:35 Are Some Companies Just Not Ready for AI?53:23 AI News Gone Wrong01:00:07 AI Gone Wrong: Atari vs GeminiGet in touch with Sean:Website: https://breakthroughgrow.com/Email: sean@breakthroughgrow.comGet in touch with Early Adoptr:hello@earlyadoptr.aiFollow Us on Socials & Resources:https://linktr.ee/early_adoptrIf this episode provided valuable insights for your AI strategy, please share it with other business owners who could benefit from this practical approach to AI adoption.Get in touch with Early Adoptr: hello@earlyadoptr.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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  12. Building AI Guardrails That Actually Work (with Sean Bhardwaj) (01:11:40)

    Jess and Kyle are joined by their first guest, Sean Bhardwaj from Breakthrough Growth Partners!  This is part one of a two-part series that dives deep into AI transformation and policy fundamentals, and honestly, it's the conversation every business owner needs to hear right now. Spoiler alert: your team is already using AI tools whether you know it or not, and it's time to get strategic about it.Sean brings some serious wisdom about why AI isn't just another productivity hack - it's a foundational shift that requires intentional leadership. He shares why we're not actually late to the AI party (despite what the hype suggests), how this technological shift compares to everything from the printing press to the internet, and why the companies that master "proficiency before efficiency" will dominate the next decade.Plus, we tackle some major AI news that'll affect your business: the EU AI Act is going live way sooner than expected (August 2nd, not 2026!), there's surprisingly good environmental news, and Grok had such a spectacularly bad week.Fair warning: Sean's insights will completely change how you think about AI adoption. This isn't just about tools - it's about transformation, culture change, and building the infrastructure for responsible AI use before you desperately need it.00:00: Intro and Welcome Sean!04:37: Your Team's Secret AI Addiction (And Why You Should Care)09:38: We've Seen This Movie Before: Why This Time Is Different20:50: Can I Touch That AI? Timelines to AI Transformation27:25: The Rogue Intern: Why AI Needs Context37:02: Stop Sending More Emails: The Real AI Transformation47:44: AI Policy Takeaways48:51: AI News of the Week: EU AI Act & Renewable Energy for AI58:21: AI Gone Wrong: Grok's No Good, Very Bad Week01:05:07: Wrap Up & Top TipsGet in touch with Sean: https://breakthroughgrow.com/ sean@breakthroughgrow.com Follow us on socials!https://linktr.ee/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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  13. Welcome to Early Adoptr (00:00:39)

    Meet the hosts of Early Adoptr, Jess and Kyle. We're here to make AI your unfair advantage. 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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  14. The Elephant in the Room: AI Ethics Every Business Owner Must Know in 2025 (01:10:17)

    Welcome to the episode where Jess and Kyle finally tackle the elephant in the room! This is a long, but very important one. While they've been showing you all the amazing ways AI can supercharge your business, this week they're diving deep into the ethical implications that every entrepreneur needs to understand. Spoiler alert: AI ethics isn't just about doing the right thing (though that's important!) – it's about protecting your business, managing risks, and staying competitive in an increasingly complex landscape.From carbon footprints to bias, job displacement to deepfakes, this episode covers the good, the bad, and the ugly moments. Plus, they share some genuinely exciting AI breakthroughs that'll restore your faith in technology's potential to change lives for the better.Chapters(00:00) The Elephant in the Room: The Ethics of AI (06:28) The Environmental Impact of AI(19:59) Bias in AI(30:10) AI's Impact on Job Dynamics(36:30) Concentration of Power in AI Companies(42:30) Misinformation and Deepfakes as a Business Threats(46:46) Data Ownership and Privacy Concerns(51:27) AI Autonomy vs Human Oversight(54:36) Key Takeaways on AI Ethics(59:07) AI News of the Week: Denmark Fights Back Against Deepfakes(01:03:02) AI Gone Right: Breakthrough in Dementia Diagnosis Using AIAll Resources: https://linktr.ee/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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  15. AI Agents in Action: Real Examples, Real Frameworks, Real Fun-gents (?) (00:57:36)

    In this episode, Jess and Kyle dive deep into real-world AI agent use cases, moving beyond theory to show you how you can create an AI agent today. They share their framework for identifying which tasks should become agents (versus simple automations), walk through actual examples they've built, and introduce the concept of "fun-gents" - low-stakes AI projects perfect for beginners. Plus, they cover Anthropic's major legal victory and why one startup's controversial "cheating" AI is getting roasted online.Chapter Timestamps[00:00] Introduction and Background[02:40] Where Do I Even Begin: AI Agents: The Sequel[08:17] Where Do I Even Begin: Framework for Identifying AI Agent Opportunities[19:38] Where Do I Even Begin: When NOT to Use An Agent[22:12] Where Do I Even Begin: Real World Use Cases for Agents[40:49] WTF is a Fun-Gent and How do I Build One?[49:10] AI News of the Week: Major Legal Victory for Anthropic[52:06] AI Gone Wrong: Deceptive Marketing from Cluely[54:29] Quick Wins for the WeekResources:Anthropic's Fair Use Victory - https://www.wired.com/story/anthropic-ai-copyright-fair-use-piracy-ruling/Connect with Early AdoptrEmail: hello@earlyadoptr.aiLinkedIn: https://www.linkedin.com/company/early-adoptrTikTok: @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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  16. AI Agents vs Agentic AI: Why Everyone's Getting It Wrong (00:56:38)

    In this episode of Early Adoptr, Jess returns from the scorching Cannes Lions with insights on how AI is transforming advertising and business. She and Kyle break down the critical difference between AI agents and agentic AI - two terms everyone's using interchangeably but shouldn't be. From real-world examples at Cannes to building personal assistant workflows, they explore the ladder of AI autonomy and why understanding these distinctions matters for your business decisions.Chapters:00:00 Intro & Insights from Cannes Lions12:46 Where Do I Even Begin: WTF are Agents?36:30 AI Agents & Limitations42:32 AI News of the Week: AI causes cognitive decline (?) and Meta privacy concerns51:01 AI Gone Wrong: ChatGPT vs AtariResources:- ChatGPT causes cognitive decline: https://www.independent.co.uk/news/world/americas/ai-chatgpt-essays-cognitive-decline-b2774224.html - Meta AI App is a Privacy Disaster: https://techcrunch.com/2025/06/12/the-meta-ai-app-is-a-privacy-disaster/ - Atari vs ChatGPT: https://www.pcmag.com/news/chatgpt-gets-absolutely-wrecked-in-chess-match-with-1978-atariGet 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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  17. Stop Googling, Start Deep Researching: Deep Research Tools 101 (00:53:45)

    In this episode, Jess and Kyle deep dive into deep research - the game-changing tools that can turn you into an expert on any topic before your morning coffee. We'll help you discover how to get PhD-level insights without the PhD-level time investment. Plus, we share our first user user case, break down this week's biggest AI news including OpenAI's data retention drama, Meta's big AI investment, and Disney's copyright battle with Midjourney, and why it all matters for your business. Chapters: 00:00 Did Jenson Really Say That? 03:55What Does Cold Brew Have to Do with AI?07:29Where Do I Even Begin: Deep Research13:15 Where Do I Even Begin: Deep Research Behind the Scenes17:39 Where Do I Even Begin: Deep Research Tools23:19 Where Do I Even Begin: Deep Research Use Cases34:47 Using AI to Help With a Difficult Supplier39:09 AI News of the Week: OpenAI vs NYT, Midjourney Sued and Scale.ai + Meta47:10 AI Gone Wrong: Claude Blackmails Engineers50:54 AI Safety and Oversight 52:19 Wrap UpConnect:LinkedIn: ⁠https://www.linkedin.com/company/early-adoptr⁠TikTok: @early_adoptrInstagram: @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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  18. Beyond Basic AI: How Custom GPTs Can Help Your Business (00:51:05)

    In this episode, Jess and Kyle talk AI at SXSW London, and we do a deep dive in Custom GPTs, aka specialized AI assistants that can revolutionize how small businesses operate. We talk about how Mary Meeker’s AI report and Meta’s AI ad creation will affect small businesses and entrepreneurs, as well as the cautionary tale of Builder.ai. [00:00] Intro[00:50] Welcome to Episode 4: What we've been up to this week[07:16] Where Do I Even Begin: GPTs[10:03] Custom GPTs: Revolutionizing AI Applications[22:56] Custom GPTs - Real World Examples[28:36] Poll of the Week[29:54] AI News of the Week: Mary Meeker's Report & Meta Goes Full AI Ads[40:48] AI Gone Wrong: Builder.ai[47:18] Quick Wins!RESOURCES:Mary Meeker AI Report 2025 - https://www.bondcap.com/report/tai/ Meta AI Ad Creation - https://www.theguardian.com/technology/2025/jun/02/facebook-instagram-meta-ai-ad-media-advertising Builder.ai goes bust - https://www.bloomberg.com/news/articles/2025-05-30/builder-ai-faked-business-with-indian-firm-verse-to-inflate-sales-sources-say CONNECT:LinkedIn: https://www.linkedin.com/company/early-adoptr TikTok: @early_adoptrInstagram: @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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  19. How to Get AI to Actually Do What You Want: Prompt Engineering That Doesn't Suck (00:51:02)

    In this episode of Early Adopter, hosts Jess and Kyle dive deep into the game-changing world of AI prompt engineering - and trust us, this isn't just another tech tutorial! They share their hard-won insights on how to actually talk to AI tools in ways that get you amazing results (spoiler: most people are doing it completely wrong). From the universal truths of prompting to avoiding the pitfalls, the duo walks you through practical frameworks like RACE and CARE that you can use immediately. Plus, they dish on the latest Anthropic announcements, talk hardware, and their favorite AI fails of the week. Whether you're an AI skeptic or already obsessed, this episode will change how you work with these powerful tools.Chapters00:00 Welcome to Early Adoptr & Intros04:08 Where Do I Even Begin? Prompt Engineering 10112:48 Prompt Engineering 101: The Universal Truths of Prompt Engineering15:07 Prompt Engineering 101: Always Be Iterating20:32 Prompt Engineering 101: RACE framework25:03 Prompt Engineering 101: CARE framework26:32 Prompt Engineering 101: Real World Examples33:22 Prompt Engineering 101: Avoid the Pitfalls38:25 Poll of the Week...or not?39:00 AI News That Matters46:30 AI Gone Wrong - ChatGPT Update 49:13 Wrap-Up and Key Takeaways50:46 Keeping UpTakeaways: Stop blaming AI for bad results - it's probably your prompts that need workThe secret sauce: giving AI context is like giving directions to a really smart friendSpecific, detailed instructions aren't being picky - they're being effectiveDon't get it right the first time? Good! Iteration is where the magic happensUnderstanding how AI actually thinks will make you a prompting wizardFrameworks aren't just corporate buzzwords - RACE and CARE actually workThe AI world is moving fast, and businesses that adapt will crush the competitionAlways fact-check AI - it's brilliant but not infallibleYour AI outputs will only be as good as your inputs (garbage in, garbage out)Think of AI as your incredibly capable but literal-minded assistantBuilding a collection of proven prompts is like having a superpowerGet 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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  20. Where Do I Even Begin? Your First Steps with AI Tools for Business Success (00:52:30)

    In this episode of Early Adopter, Jess and Kyle launch their new beginner-focused series "Where Do I Even Begin?" They break down what Large Language Models (LLMs) are, explain the core AI tools available today, and provide a comprehensive comparison of ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and Grok. The hosts also dive deep into Google's massive I/O 2025 announcements that could revolutionize small business operations, share listener poll results about most-hated work tasks, and discuss a cautionary tale about AI-generated content gone wrong at the Chicago Sun-Times.• LLMs are pattern-based text generators trained on massive amounts of internet data - they predict the next word rather than truly "knowing" answers• Google's I/O 2025 announcements democratize enterprise-level AI capabilities for small businesses through tools like Gemini 2.5, AI search mode, and Google Flow• 57% of listeners identified boring admin tasks as their biggest pain point - exactly what LLMs excel at solving• Always implement human oversight for AI-generated content, especially anything public-facing• Start small and build confidence - pick one tool and test it with simple admin tasks before moving to complex applications00:00 Intros Welcome back and listener feedback from Episode 1 Shoutout to moms experimenting with ChatGPT! 03:34 Introducing...Where Do I Even Begin? New beginner-focused series going back to the basics. This week, we’re starting with Large Language Models (LLMs) and the primary tools.05:01 The Rise of Generative AI and LLMs AI vs. generative AI vs. machine learning explained. The importance of the ChatGPT moment: November 2022. How LLMs work: pattern recognition and word prediction10:00 Why Do LLMs matter for your business? Understanding the time-saving capabilities and productivity gains14:51 Inspiration - Some Real World Use Cases Legal document analysis ("explain it like gossip") Email chain summarization and tone analysis Meeting transcription and action item extraction Investor report analysis and metric comparison20:53 The Evolution of AI ToolsIntroduction to the major LLM platforms - all are available as browser / apps (except Grok which is also available on X) 21:07 OpenAI - ChatGPT  The Swiss army knife, best for beginners 25:18 Google - Gemini Perfect for Google Workspace users - lots of new features coming26:22 Anthropic - Claude Superior for writing and sensitive documents, with a privacy-focused approach28:57 Perplexity The fact-checker with citations and more research-focused capabilities30:44 DeepSeek Cost-effective coding and logic tasks, with a focus on performance vs. price considerations31:45 Grok Real-time social insights (with limitations), Twitter (X)  integration 33:34 Deciding Which Tool Is Best for You Decision framework based on business needs Recommendation strategies34:58 Poll Results: Your Most Hated Work Tasks 57% chose boring admin tasks 29% selected slides and presentations 14% picked content creation 0% said endless emails (surprising!)37:29 AI News of the Week: Google I/O 2025 Gemini 2.5 with 1 million token context window AI mode in Google Search Real-time translation in Google Meet Google Flow for AI filmmaking Virtual try-on technology for e-commerce Agent mode for complex task delegation45:52 AI Gone Wrong Chicago Sun-Times incident with non-existent books Vendor-supplied content without proper review Importance of AI policies and quality control49:43 Homework Time Pick one LLM and test with simple admin task Share your AI success stories and use cases! Email results to hello@earlyadoptr.ai  51:05 That's a Wrap! Next week preview: Prompt Engineering 101 Testing new Google features TakeawaysChaptersGet 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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

  21. Hello, World! (00:45:06)

    In the inaugural episode of Early Adoptr, hosts Jess and Kyle introduce their mission to make AI practical and accessible for small business owners and entrepreneurs. They share their backgrounds, discuss the rapid evolution of AI technology, and emphasize the importance of community engagement. The episode covers various topics, including the role of AI in small businesses, listener feedback on desired content, real-world use cases, and the implications of recent AI news. The hosts also explore image generation tools and best practices for using AI effectively, while cautioning against potential pitfalls. The episode concludes with a call to action for listeners to share their experiences and challenges with AI.TakeawaysThe mission of Early Adoptr is to make AI practical and accessible for anyone.AI technology is evolving rapidly, and staying updated is crucial.Real-world use cases of AI can inspire small business owners.AI can help small businesses optimize productivity and save time.The hosts encourage listeners to share their stories and challenges with AI.News Stories:OpenAI Adds Shopping to ChatGPT in a Challenge to Google Perplexity partners with PayPal for in-chat shopping as AI race heats upLinks to Tools: https://www.midjourney.comhttps://openai.com/index/dall-e-3/ https://stability.ai/ Chapters00:00 Introduction to Early Adopter Podcast02:53 The Mission of Making AI Accessible03:55 Meet the Team08:00 The Importance of AI for Small Businesses12:24 We Want You aka Community Engagement 18:33 AI News of the Week26:21 Tool of the Week: Image Generation40:28 AI Gone Wrong: Lessons from Coca-Cola42:46 That's a WrapGet 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/@earlyadoptrpodResources: https://linktr.ee/early_adoptr Hosted on Acast. See acast.com/privacy for more information.

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