The Startup Ideas Podcast

Claude Fable 5 is BANNED. What to do?

In this solo episode, I walk through the implications of the ban of Claude Fable 5 — the most powerful model on the planet and the one I planned to build with — after the US government sent Anthropic a letter. I make the case for local AI by walking through the benefits: intelligence that lives on your own hardware, stays private, runs free after the hardware cost, and keeps working through bans, outages, and price hikes. I lay out the exact order I'd learn it in — runtimes, model-to-hardware matching, quantization, and agents — and I name the specific tools and models I reach for. Then I hand you five startup ideas that exist precisely because intelligence now sits on your desk. The payoff for you is a clear plan to own a resilient layer of your stack starting this week.Timestamps00:00 – Intro01:20 – The Fable 5 Ban02:31 – Renting Access vs. Owning Intelligence03:41 – How a Local Model Works07:19 – The Local Model Stack08:45 – Match Model to Machine10:45 – Pick Your Model (Qwen 3, DeepSeek, Gemma, Llama)13:09 – Quantization Explained14:36 –The Local Agent Loop17:45 – Model Routing (The Real Skill)18:44 – Five Startup Ideas for the Local-AI Era22:17 – Closing ThoughtsKey PointsOne government letter took Fable 5 offline overnight, which is why I now own a private layer of my stack.Local models already handle roughly 80% of everyday ChatGPT or Claude tasks, fully offline and free after hardware.I'd learn it in order: runtime first (LM Studio or Ollama), then match model size to your RAM.A 12-billion-parameter model on 16 GB of RAM is the sweet spot where most people should live.Quantization (look for Q4) roughly halves the memory a model needs while keeping quality high.Pointing an agent like Hermes at a local model turns your desk into a private, always-on mini data center.The #1 tool to find startup ideas/trends - https://www.ideabrowser.comLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/FIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/

Summary

You are using Claude Fable 5 wrong

3d ago00:33:08Summary ready

Get my Fable 5 prompt pack: https://startup-ideas-pod.link/fable5-prompt-packIn this episode I break down how to get the most out of Fable 5, the most powerful model I've ever used. I move past the benchmarks and go straight into tactical use cases, copy-and-paste prompts, and startup ideas you can build today. I walk through tournaments for copy and landing pages, an interview-before-build workflow that hunts for product-market fit, and ways to point Fable at contracts, churn data, and years of your own notes. I close with three of my favorite startup ideas — a synthetic focus group firm, 48-hour custom software, and a contract refund firm — plus the exact prompts behind each. My goal here stays simple: leave you ready to build and earn with Fable 5 while it remains included in your plan.Timestamps00:00 – Intro02:22 – Anthropic Employee Edits a Launch Video With Fable05:50 – Building an AI Content Engine07:30 – Best way to configure Fable 508:42 – Prompt 1: Copywriting Tournament for Landing Pages13:18 – Prompt 2: The Interview-Before-Build Prompt18:34 – Prompt 3: Hire Fable to Kill Your Company20:18 – Prompt 4: Your One-Page Operating Manual21:20 – Prompt 5: Find the Gaps Worth Filling22:06 – Prompt 6: Negotiation Simulator23:11 – Prompt 7: The 80-Page Second Opinion on Contracts24:56 – Prompt 8: Make Fable Build Its Own Tools25:47 – Startup Ideas31:23 – Closing ThoughtsKey PointsI show why low effort is the alpha, since Fable Low beats Opus High on routine work.I run tournaments — landing pages and ad copy scored by AI judge panels — to ship far stronger output.I use an interview-before-build prompt so Fable pushes back and writes specs with real product-market-fit odds.I point Fable at big datasets — contracts, churn data, support tickets, years of notes — to surface money and patterns.I share startup ideas Fable 5 makes viable today, including a synthetic focus group firm and a contract refund firm.The #1 tool to find startup ideas/trends - https://www.ideabrowser.comLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/FIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/

Summary

What are Agentic Loops?

5d ago00:22:32Summary ready

S/o Coderabbit for sponsoring today’s vid: https://startup-ideas-pod.link/code-rabbitOn this episode I sit down with Professor Ras Mic to break down agentic loops. We define what a loop is, explain why well-known builders like Boris and Peter swear by them, and stay honest about who they truly serve. Mic argues that human-in-the-loop remains the strongest setup today, and he walks through the one loop he runs every day for code review using Cursor, GitHub, and Greptile. By the end you will know when a loop earns its place and when your own hand belongs on the wheel.Timestamps00:00 – Intro01:23 – What is a Loop07:59 – /goal Explained11:32 – The Slop Machine12:42 – Code Review as a use case for Agentic Loop18:19 – Honest Take for Builders20:42 – The Future of Loops21:50 – Closing ThoughtsKey PointsA loop fires once from a human, then the agent generates, reviews its own result, and feeds it back to keep building.Human-in-the-loop keeps you directing, governing, and approving each step while the agent builds.Wide-open loops make heavy assumptions and burn serious tokens; Michael cites Peter's tweet about $1.3 million worth of tokens in one month.Reserve slash goal and similar loops for the $200/month plan, since the $20 and $100 tiers burn through fast.Loops shine in confined, fixed-feedback work: code review, SEO pages, and other binary tasks.Mic’s daily win is a closed code-review loop with Cursor, GitHub, and Greptile that chases a 5/5 score.The #1 tool to find startup ideas/trends - https://www.ideabrowser.comLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/FIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/FIND MIC ON SOCIALX/Twitter: https://x.com/RasmicYoutube: https://www.youtube.com/@rasmic

Summary

Become AI Native in less than 60 mins

6d ago00:56:44Summary ready

Become an AI Native Organization: https://startup-ideas-pod.link/ai-native-orgIn this episode I sit down with Theo to unpack what becoming AI native truly means. We define an AI native org as people managing agents, agents reading and writing to the company, and the company growing smarter over time. Theo opens his actual workflows, walking through a working prototype, an auto-generated client proposal microsite, and a live usability test that synthesizes feedback into a V2 in one session. We close with service-business startup ideas built on this same system, plus a free consultation offer for larger companies. For founders and operators, the value lands as a concrete playbook for turning speed into customer signal and a durable moat.Timestamps:00:00 – Intro04:09 – The Demis Hassabis origin story06:53 – Defining AI Native Organization08:19 – Mapping the system: people, agents, context09:18 – Why people lead: strategy, taste, trust13:23 – Agents: models using tools in a loop16:12 – Evals and defining "good"17:34 – Skill chains explained20:06 – Proposal skill-chain demo setup25:48 – Proposal microsite walkthrough30:46 – Building the Daily Blitz feature demo32:50 – Context as the foundational layer41:07 – Daily Blitz ships and the labs page43:47 – Bootstrapping context with a small team46:21 – Usability test and live feedback51:18 – Startup ideas: productize the system54:28 – Closing ThoughtsKey PointsAn AI native org runs on three layers: people for judgment, agents for execution, and context as the shared brain.Everyone becomes a manager, so I set each agent up with a clear goal, the right skills, tools, and context.Skill chains fire playbooks back to back, lifting quality and keeping outputs grounded in real data.A living context layer gives agents 2020 vision, letting a personalized proposal ship in minutes.Live prototypes plus built-in usability tests turn raw ideas into customer signal the same day.The fastest service play right now: niche down by industry, function, and company size, then sell this system.The #1 tool to find startup ideas/trends - https://www.ideabrowser.comLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/FIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/FIND THEO ON SOCIALX/Twitter: https://x.com/TheoTabahLinkedIn: https://www.linkedin.com/in/theotabah/LCA: https://www.latecheckout.agency/

Summary

Hermes Agent App Clearly Explained (and how to use it)

1w ago00:43:48Summary ready

In this episode, I sit down with Alex Finn for a full, screen-shared walkthrough of Hermes Desktop, the new desktop home for the Hermes AI agent. I open with a clear challenge: by the end, sell me on installing Hermes Desktop, show me real ways to make money and stay productive, and explain his move from OpenClaw. Alex tours every major surface — sessions, profiles, artifacts, skills, cron jobs, and sub-agents — and shares money-saving tactics at each step. We close on the idea that matters most to me: aiming these agents at other people's challenges as the clearest path to real value.Timestamps00:00 – Intro04:04 – Sessions and Context Management06:10 – Profiles Explained08:49 – Model-Based vs Role-Based Profiles12:58 – Artifacts as a Second Brain14:32 – Why Alex Switched From OpenClaw17:32 – Skills, Tools, and Tool Sets19:19 – Messaging and Cron Setup21:44 – Reverse Prompting and the Brain Dump28:09 – Sub-Agents vs Profiles32:12 – Putting It Together: Solving Challenges32:38 – The Daily Business Opportunity Scan37:05 – Local Models: Mac Studio vs DGX Spark39:03 – Reframing Cost as Investment41:59 – The Real Way to Make Money With Hermes42:51 – Closing ThoughtsKey PointsHermes Desktop pulls sessions, profiles, artifacts, skills, and cron jobs into one polished, Apple-style interface.Smart session and context management keeps each message slim and keeps monthly costs low.Profiles map to different models — Opus 4.8 for strategy, ChatGPT 5.5 for coding, a local Qwen model for free research — so each task runs on its best fit.Reverse prompting plus a personal brain dump produces far stronger prompts, cron jobs, and outputs.Sub-agents handle one skill across many parallel tasks; profiles handle work where each step needs a distinct skill set.The biggest opportunity: aim your agent at Reddit and X to surface real problems you are positioned to solve.The #1 tool to find startup ideas/trends - https://www.ideabrowser.comLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/FIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/FIND ALEX ON SOCIALYoutube: https://www.youtube.com/@AlexFinnOfficial/videosX/Twitter: https://x.com/AlexFinnXCreator Buddy: https://www.creatorbuddy.io/

Summary

Codex Sites Clearly Explained (and how to use it)

1w ago00:24:41Summary ready

In this solo episode I walk through Codex Sites end to end, building a real internal tool live so you can copy the exact workflow. I open by comparing Codex Sites with one-prompt tools like Replit and Lovable, then construct a Startup Ideas OS board in six prompts. Along the way I cover memory and persistent storage, safe actions, Codex skills, save-gates, and proving the loop so the app updates autonomously. The core promise: by the end you know how to ship a Codex Site that an agent keeps operating for you. This one suits builders who already live in Codex and want self-updating products.Timestamps00:00 – Intro and Episode Agenda01:17 – Codex Sites vs Replit and Lovable04:33 – The Build Plan: Startup Ideas OS05:08 – Prompt 1: Build the Shell with Sites07:02 – Plugins Worth Using and Game Studio08:54 – First Board Review09:21 – Prompt 2: Add Memory and Show the Data Model10:56 – Prompt 3: Create Safe Actions13:25 – Prompt 4: Create the Startup Ideas Admin Skill14:51 – Prompt 5: Save-Gate and Checkpoints16:29 – Prompt 6: Prove the Loop from a New Chat18:10 – Publish, Auth, and Live Updates20:28 – TLDR: Memory, Safe Actions, Skills22:40 – The Real Unlock and Closing ThoughtsKey PointsCodex Sites rewards builders who already live in Codex by updating apps autonomously after launch.Replit, Lovable, and Bolt stay the simpler one-prompt choice; Codex Sites trades that for autonomy and self-updating products.Out of the box you prompt in auth, databases, payments, email, analytics, and a secrets vault yourself.I build a Startup Ideas OS board in six prompts: shell, memory, safe actions, a skill, a save-gate, and a proof loop.Safe actions let an agent call approved buttons and named mutations, so edits flow from any chat.The real payoff is autonomous products that Codex keeps operating and improving on a live URL.The #1 tool to find startup ideas/trends - https://www.ideabrowser.comLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/FIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/

Summary

The Next $100B Market: Selling To AI Agents

2w ago00:14:00Summary ready

In this solo episode, I break down the shift from a human-first internet to an agent-first one, where AI agents become the customers that discover, evaluate, pay, and recommend. I map the agent buying journey and the new infrastructure agents need: identity, tools, an inbox, memory, a wallet, and receipts. I ground it with concrete examples like AgentMail and Stripe's agent wallet, then show how to make your website agent-readable through structured docs, schemas, MCP tools, and executable actions. I close with rapid-fire startup ideas and my big prediction for the next ten years: build startups for agents.Timestamps:00:00 – Intro00:49 – The tweet: build startups for agents01:47 – Old web vs. agent web02:24 – The agent buying journey04:38 – What agents need: identity, tools, inbox, memory, wallet, receipts05:30 – Examples: AgentMail, Stripe agent wallet, support, procurement, MCP, travel agent08:24 – Building an agent-readable website09:31 – What does this change for Startups11:55 – Rapid-fire startup ideas for agents13:07 – Closing ThoughtsKey PointsI explain that AI agents are becoming the primary customers online, with agent traffic set to outnumber human traffic.I lay out the agent buying journey: finding, evaluating, transacting, using tools, and recommending to other agents.I list what agents need beyond what humans need: identity, tools, an inbox, memory, a wallet, and receipts.I walk through real examples like AgentMail, Stripe's agent wallet, support, procurement, MCP servers, and a travel agent.I show how to make a site agent-readable with structured docs, schemas, MCP tools, SDKs, OAuth, checkout, sandboxes, and receipts.I share rapid-fire startup ideas for the agentic era and frame my big prediction: build startups for agents.The #1 tool to find startup ideas/trends - https://www.ideabrowser.comLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/FIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/

Summary

Google's Biggest AI Announcements (I Was There)

3w ago00:25:42Summary ready

Live from Google I/O, I sit down with Logan Kilpatrick from the Google DeepMind team to unpack everything Google just announced and what it means for founders, developers, and anyone trying to build with AI right now. We dig into Gemini 3.5 Flash, the new Gemini Omni world model, the expanded Antigravity ecosystem, managed agents in the Gemini API, and the native Android app builder inside AI Studio. Logan breaks down how distillation is pushing Pro-level intelligence into Flash, where the biggest opportunities are for solo founders, and why the agentic era has finally moved from impressive demos to genuinely useful products.Thanks to Google for flying me out to Google I/O and making this conversation possible.Timestamps00:00 – Intro00:53 – Gemini 3.5 Flash: The New Workhorse Model01:49 – How Flash 3.5 Stacks Up Against Sonnet02:38 – Gemini Omni: A World Model for Any Input and Output06:18 – Building a Content and Creator Layer on Omni08:21 – What to look forward to10:53 – Google Spark and Managed Agents14:00 – The Agentic Era and Requests for Startups17:17 – The Antigravity Ecosystem Overhaul18:51 – AI Studio vs. Antigravity: Vibe Coding vs. Agentic Engineering21:31 – Native Android Apps Built Inside AI Studio23:44 – Closing ThoughtsKey PointsGemini 3.5 Flash ships as a Sonnet-level workhorse model tuned for long-running agentic tasks, coding, and tool use, available on day one to 900M+ Gemini app users.Gemini Omni is a single model that takes any input and produces any output across video, image, audio, and music, fusing Veo, Nano Banana, Lyria, and TTS into one system.Managed agents in the Gemini API let builders ship agentic products with a single API call, using skills and markdown instead of writing orchestration code.The Antigravity suite now spans an IDE, agent manager, CLI, SDK, and API surface, all sharing the same agent harness that powers Gemini Spark.AI Studio targets vibe coding and now builds native Android apps for free, while Antigravity targets production-quality, million-line-codebase engineering.The cost of intelligence keeps dropping thanks to distillation, opening up smaller markets that previously needed a 40-person team and venture funding to address.The #1 tool to find startup ideas/trends - https://www.ideabrowser.comLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/FIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/FIND LOGAN ON SOCIALX/Twitter: https://x.com/OfficialLoganKYoutube: https://www.youtube.com/@LoganKilpatrickYTLinkedIn: https://www.linkedin.com/in/logankilpatrick/

Summary

9 Huge Startup Opportunities in the AI Boom

4w ago01:08:23Summary ready

I sit down with my friend Jonathan Courtney, a.k.a. Jicecream, to dig into the 9 biggest startup opportunities I see right now across B2C, AI, mobile, and IRL. We each pick ideas, trade reactions, and pressure-test them live. The conversation ranges from agent-first "action apps" to elder tech, third spaces, hobby retreats, pet health, AI-native media, and the case for selling AI "junior employees" to small businesses. Listeners walk away with a concrete map of where to build in 2026, plus the framing I use to decide which niche is worth marrying.Timestamps:00:00 – Intro01:14 – Idea 1: Unscripted Creator Shows (Twitch model for tech)07:50 – Idea 2: Action Apps: AI Agent Native Apps16:39 – Idea 3: Loneliness and IRL Communities26:47 – Idea 4: Elder Tech: Building for 65+33:21 – Idea 5: Adult Hobbies38:17 – Idea 6: AI Employee and AI Agents45:33 – Idea 7: Personalized Nutrition/Health53:08 – Idea 8: Pet Health and AI for Animals57:34 – Idea 9: AI-Native Media Companies Done Right01:03:18 – Stacking Ideas: Live + Retreats + Entrepreneurs01:07:22 – Final ThoughtsThe #1 tool to find startup ideas/trends - https://www.ideabrowser.comLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/FIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/FIND JONATHAN ON SOCIALUnscheduled CEO Podcast: https://www.unscheduledceo.com/X/Twitter: https://twitter.com/JicecreamLinkedIn: https://www.linkedin.com/in/jonathan-courtney-4510644b/

Summary

Andrew Wilkinson: AI Agents run my business and life

May 1400:47:02Summary ready

If you want more workflows and tactics to build a business with AI, check out this free workshop: https://www.ideabrowser.com/workshopI sit down with Andrew Wilkinson and we go deep on how he's restructured his work, his health, and his family office around AI agents. Andrew walks me through Deep Personality (an app he vibe-coded after running psychological screens on himself and his girlfriend), the autonomous SaaS business he runs through agent harnesses like Harbor, and the vector-database setup that lets him query Tiny and his personal holding company like an oracle. We cover where software is headed, why he's pouring capital into TSMC and data center stocks, and the daily AI workflows he's built around health, email triage, and a personalized morning podcast. Listeners walk away with concrete prompting tactics, agent architectures, and a frank read on where the moats are moving.Timestamps:00:00 – Intro01:50 – The OpenClaw and Claude Code Unlock04:53 – Demo: Deep Personality App10:38 – Harbor: An Agent Harness For Real Companies12:30 – Autonomous Companies: Hype Vs. Reality17:30 – Credibility As The Missing Layer For Vibe-Coded Products20:14 – Centralizing Data Pipelines21:35 – Vector Databases23:22 – Transitioning Companies to Agentic Companies25:22 – Where Andrew Would Build Today27:10 – The New Interface28:21 – Why build now30:59 – Replacing Adapar: A Networth Wealth Platform33:07 – Services As The New Software35:24 – G-Brain Explained and Andrew’s OpenClaws45:09 – Closing ThoughtsKey PointsAndrew runs a SaaS business called Deep Personality almost entirely through agents, generating roughly $20K of revenue while debugging eats half his time.Harbor (github.com/geekforbrains/Harbor) gives agents a GUI-style harness — dev, marketing, and support agents that can autonomously merge PRs and adjust ad budgets across PostHog, Meta, and Reddit.Andrew's family office swapped headcount for a $40K/month Claude bill; his CFO, who had zero coding background, vibe-coded a replacement for Adapar (priced at $50K–$100K/year) in about two weeks.Vector databases trained on Tiny and Andrew's holding company let him query 132 minority investments, P&Ls, and headcount data conversationally.For builders today, Andrew suggests aiming for a $1M–$2M product, then parking gains in TSMC and data center exposure given how fast software moats are eroding.His best prompting tip: ask the model to interview you with multiple-choice questions before generating any output.The #1 tool to find startup ideas/trends - https://www.ideabrowser.comLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/FIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/FIND ANDREW ON SOCIALX/Twitter: https://x.com/awilkinsonDeep Personality: https://deeppersonality.appTiny: https://www.tiny.com

Summary

All episodes

Claude Fable 5 is BANNED. What to do?

You are using Claude Fable 5 wrong

What are Agentic Loops?

Become AI Native in less than 60 mins

Hermes Agent App Clearly Explained (and how to use it)

Codex Sites Clearly Explained (and how to use it)

The Next $100B Market: Selling To AI Agents

Google's Biggest AI Announcements (I Was There)

9 Huge Startup Opportunities in the AI Boom

Andrew Wilkinson: AI Agents run my business and life