The Startup Ideas Podcast

You are using Claude Fable 5 wrong Jun 11, 2026

Show notes

Get my Fable 5 prompt pack: https://startup-ideas-pod.link/fable5-prompt-pack

In 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.

Timestamps

00:00 – Intro

02:22 – Anthropic Employee Edits a Launch Video With Fable

05:50 – Building an AI Content Engine

07:30 – Best way to configure Fable 5

08:42 – Prompt 1: Copywriting Tournament for Landing Pages

13:18 – Prompt 2: The Interview-Before-Build Prompt

18:34 – Prompt 3: Hire Fable to Kill Your Company

20:18 – Prompt 4: Your One-Page Operating Manual

21:20 – Prompt 5: Find the Gaps Worth Filling

22:06 – Prompt 6: Negotiation Simulator

23:11 – Prompt 7: The 80-Page Second Opinion on Contracts

24:56 – Prompt 8: Make Fable Build Its Own Tools

25:47 – Startup Ideas

31:23 – Closing Thoughts

Key Points

I 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.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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What are Agentic Loops? Jun 09, 2026

Show notes

S/o Coderabbit for sponsoring today’s vid: https://startup-ideas-pod.link/code-rabbit

On 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.

Timestamps

00:00 – Intro

01:23 – What is a Loop

07:59 – /goal Explained

11:32 – The Slop Machine

12:42 – Code Review as a use case for Agentic Loop

18:19 – Honest Take for Builders

20:42 – The Future of Loops

21:50 – Closing Thoughts

Key Points

A 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.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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Youtube: https://www.youtube.com/@rasmic

Become AI Native in less than 60 mins Jun 08, 2026

Show notes

Become an AI Native Organization: https://startup-ideas-pod.link/ai-native-org

In 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 – Intro

04:09 – The Demis Hassabis origin story

06:53 – Defining AI Native Organization

08:19 – Mapping the system: people, agents, context

09:18 – Why people lead: strategy, taste, trust

13:23 – Agents: models using tools in a loop

16:12 – Evals and defining "good"

17:34 – Skill chains explained

20:06 – Proposal skill-chain demo setup

25:48 – Proposal microsite walkthrough

30:46 – Building the Daily Blitz feature demo

32:50 – Context as the foundational layer

41:07 – Daily Blitz ships and the labs page

43:47 – Bootstrapping context with a small team

46:21 – Usability test and live feedback

51:18 – Startup ideas: productize the system

54:28 – Closing Thoughts

Key Points

An 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.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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LinkedIn: https://www.linkedin.com/in/theotabah/

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Hermes Agent App Clearly Explained (and how to use it) Jun 06, 2026

Show notes

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.

Timestamps

00:00 – Intro

04:04 – Sessions and Context Management

06:10 – Profiles Explained

08:49 – Model-Based vs Role-Based Profiles

12:58 – Artifacts as a Second Brain

14:32 – Why Alex Switched From OpenClaw

17:32 – Skills, Tools, and Tool Sets

19:19 – Messaging and Cron Setup

21:44 – Reverse Prompting and the Brain Dump

28:09 – Sub-Agents vs Profiles

32:12 – Putting It Together: Solving Challenges

32:38 – The Daily Business Opportunity Scan

37:05 – Local Models: Mac Studio vs DGX Spark

39:03 – Reframing Cost as Investment

41:59 – The Real Way to Make Money With Hermes

42:51 – Closing Thoughts

Key Points

Hermes 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.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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Youtube: https://www.youtube.com/@AlexFinnOfficial/videos

X/Twitter: https://x.com/AlexFinnX

Creator Buddy: https://www.creatorbuddy.io/

Codex Sites Clearly Explained (and how to use it) Jun 04, 2026

Show notes

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.

Timestamps

00:00 – Intro and Episode Agenda

01:17 – Codex Sites vs Replit and Lovable

04:33 – The Build Plan: Startup Ideas OS

05:08 – Prompt 1: Build the Shell with Sites

07:02 – Plugins Worth Using and Game Studio

08:54 – First Board Review

09:21 – Prompt 2: Add Memory and Show the Data Model

10:56 – Prompt 3: Create Safe Actions

13:25 – Prompt 4: Create the Startup Ideas Admin Skill

14:51 – Prompt 5: Save-Gate and Checkpoints

16:29 – Prompt 6: Prove the Loop from a New Chat

18:10 – Publish, Auth, and Live Updates

20:28 – TLDR: Memory, Safe Actions, Skills

22:40 – The Real Unlock and Closing Thoughts

Key Points

Codex 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.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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The Next $100B Market: Selling To AI Agents Jun 02, 2026

Show notes

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 – Intro

00:49 – The tweet: build startups for agents

01:47 – Old web vs. agent web

02:24 – The agent buying journey

04:38 – What agents need: identity, tools, inbox, memory, wallet, receipts

05:30 – Examples: AgentMail, Stripe agent wallet, support, procurement, MCP, travel agent

08:24 – Building an agent-readable website

09:31 – What does this change for Startups

11:55 – Rapid-fire startup ideas for agents

13:07 – Closing Thoughts

Key Points

I 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.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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Google's Biggest AI Announcements (I Was There) May 22, 2026

Show notes

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.

Timestamps

00:00 – Intro

00:53 – Gemini 3.5 Flash: The New Workhorse Model

01:49 – How Flash 3.5 Stacks Up Against Sonnet

02:38 – Gemini Omni: A World Model for Any Input and Output

06:18 – Building a Content and Creator Layer on Omni

08:21 – What to look forward to

10:53 – Google Spark and Managed Agents

14:00 – The Agentic Era and Requests for Startups

17:17 – The Antigravity Ecosystem Overhaul

18:51 – AI Studio vs. Antigravity: Vibe Coding vs. Agentic Engineering

21:31 – Native Android Apps Built Inside AI Studio

23:44 – Closing Thoughts

Key Points

Gemini 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.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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Youtube: https://www.youtube.com/@LoganKilpatrickYT

LinkedIn: https://www.linkedin.com/in/logankilpatrick/

9 Huge Startup Opportunities in the AI Boom May 18, 2026

Show notes

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 – Intro

01:14 – Idea 1: Unscripted Creator Shows (Twitch model for tech)

07:50 – Idea 2: Action Apps: AI Agent Native Apps

16:39 – Idea 3: Loneliness and IRL Communities

26:47 – Idea 4: Elder Tech: Building for 65+

33:21 – Idea 5: Adult Hobbies

38:17 – Idea 6: AI Employee and AI Agents

45:33 – Idea 7: Personalized Nutrition/Health

53:08 – Idea 8: Pet Health and AI for Animals

57:34 – Idea 9: AI-Native Media Companies Done Right

01:03:18 – Stacking Ideas: Live + Retreats + Entrepreneurs

01:07:22 – Final Thoughts

The #1 tool to find startup ideas/trends - https://www.ideabrowser.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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Unscheduled CEO Podcast: https://www.unscheduledceo.com/

X/Twitter: https://twitter.com/Jicecream

LinkedIn: https://www.linkedin.com/in/jonathan-courtney-4510644b/

Andrew Wilkinson: AI Agents run my business and life May 14, 2026

Show notes

If you want more workflows and tactics to build a business with AI, check out this free workshop: https://www.ideabrowser.com/workshop
I 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 – Intro

01:50 – The OpenClaw and Claude Code Unlock

04:53 – Demo: Deep Personality App

10:38 – Harbor: An Agent Harness For Real Companies

12:30 – Autonomous Companies: Hype Vs. Reality

17:30 – Credibility As The Missing Layer For Vibe-Coded Products

20:14 – Centralizing Data Pipelines

21:35 – Vector Databases

23:22 – Transitioning Companies to Agentic Companies

25:22 – Where Andrew Would Build Today

27:10 – The New Interface

28:21 – Why build now

30:59 – Replacing Adapar: A Networth Wealth Platform

33:07 – Services As The New Software

35:24 – G-Brain Explained and Andrew’s OpenClaws

45:09 – Closing Thoughts

Key Points

Andrew 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.com

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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