In this episode I sit down with Amir to get tactical about running local AI models as part of a daily workflow. We center on GLM 5.2 from ZAI, how it stacks up against frontier models like Opus 4.8, and how a fusion approach lets you sequence a heavy thinking model with a lighter execution model for the best output at the lowest cost. Amir walks through setup in Cursor and Codex via OpenRouter, shares real token-cost math, and demos GLM 5.2 refining a live app. By the end you will know how to start today, where local models shine, and how model chaining keeps spend in check.

Timestamps

00:00 – Intro

02:09 – GLM 5.2 and Z AI

04:01 – Specs: 1M context and Terminal Bench 2.1

05:22 – Making sense of benchmark scores

06:42 – Setup in Cursor or Codex with OpenRouter

10:18 – Local model upside: buy a machine, run tasks

11:42 – Token cost: 44 cents versus $2.38

13:36 – Future-proofing with an upfront hardware bet & The Uber subsidy analogy

16:49 – Model chaining and the vision workaround

19:23 – Token maxing vs routing tasks to the right model

20:54 – Answering the "cost is irrelevant" crowd

21:59 – Closing thoughts

Key Points

• GLM 5.2 ships with a 1M-token context window and scores 81 on Terminal Bench 2.1, landing about four points behind Opus 4.8.

• A fusion approach (a term OpenRouter coined) sequences models: plan with Opus, execute with GLM 5.2, review with Composer 2.5 or Codex 5.5.

• Running GLM 5.2 in the cloud through OpenRouter costs roughly 44 cents for a task that runs about $2.38 on Opus 4.8 — close to a 5X saving.

• You can start today with credit-based access: load $20 in OpenRouter and route tasks to the right model.

• For images, Amir uses Opus 4.8 to read screenshots and describe them, then hands the layout to GLM 5.2 to act on.

• Teams are shifting from token-maxing to output-maxing, making model governance and chaining the smart play

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

LCA 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 SOCIAL

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

Instagram: https://instagram.com/gregisenberg/

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

FIND AMIR ON SOCIAL

Humblytics: https://humblytics.com/?via=community

X/Twitter: https://x.com/amirmxt

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

In this episode I sit down with George Lampropoulos, a 19-year-old founder who turns AI-built mobile apps into real revenue. George walks through his framework for reaching $10K a month—roughly $333 a day—starting with a simple, sellable idea you actually care about and ending with a distribution plan anyone can run. He shares the numbers behind WrestleAI (100K-plus downloads and close to $200K in revenue) and explains why a sharp "gotcha feature" and a clean Instagram funnel do most of the heavy lifting. We also dig into closing influencers, hiring a VA, running paid ads, and reading the metrics that decide whether you grow. If you want a practical, founder-tested playbook for building apps with AI, this one delivers.

George’s $10K/mo app playbook: https://startup-ideas-pod.link/George-app-playbook

Timestamps

00:00 – Intro

01:54 – George's track record with WrestleAI

02:36 – How AI unlocks fresh app ideas

06:29 – Reverse-engineering a viral idea from your feed

16:16 – Designing the UI/UX of the app

17:49 – The gotcha feature that sells the app

21:25 – Onboarding that converts

23:04 – Actionable Plan to $10k/mo

28:55 – Outreach as a numbers game

33:35 – Paid ads clearly explained

36:20 – Reading metrics: conversion, ARPU, retention

38:30 – TLDR: a great product earns inbound creators

39:51 – Answering the vibe-coding skeptics

39:51 – Scaling with vibe-coded app

43:35 – Why now is the app-building boom

46:05 – Closing Thoughts

Key Points

• I learn why a simple, sellable idea you're passionate about beats pure distribution every time

• George breaks down the "gotcha feature"—one feature so clear that five seconds explains the whole app

• We cover a clean Instagram page that doubles as a sales funnel and as social proof for recruiting creators

• George shares his influencer playbook: lead with relationships, close on a call, and aim for a $2 CPM

• I get his paid-ads starter method—5 to 15 creatives, $100 a day, then keep the winners.

• George explains the metrics that matter early: conversion rate, a $2 ARPU target, and retention

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

LCA 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 SOCIAL

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

Instagram: https://instagram.com/gregisenberg/

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

FIND GEORGE ON SOCIAL

X/Twitter: https://x.com/GeorgeLampro20

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.

Timestamps

00:00 – Intro

01:20 – The Fable 5 Ban

02:31 – Renting Access vs. Owning Intelligence

03:41 – How a Local Model Works

07:19 – The Local Model Stack

08:45 – Match Model to Machine

10:45 – Pick Your Model (Qwen 3, DeepSeek, Gemma, Llama)

13:09 – Quantization Explained

14:36 –The Local Agent Loop

17:45 – Model Routing (The Real Skill)

18:44 – Five Startup Ideas for the Local-AI Era

22:17 – Closing Thoughts

Key Points

• One 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.com

LCA 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 SOCIAL

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

Instagram: https://instagram.com/gregisenberg/

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

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

LCA 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 SOCIAL

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

Instagram: https://instagram.com/gregisenberg/

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

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

LCA 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 SOCIAL

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

Instagram: https://instagram.com/gregisenberg/

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

FIND MIC ON SOCIAL

X/Twitter: https://x.com/Rasmic

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

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

LCA 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 SOCIAL

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

Instagram: https://instagram.com/gregisenberg/

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

FIND THEO ON SOCIAL

X/Twitter: https://x.com/TheoTabah

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

LCA: https://www.latecheckout.agency/

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

LCA 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 SOCIAL

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

Instagram: https://instagram.com/gregisenberg/

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

FIND ALEX ON SOCIAL

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

X/Twitter: https://x.com/AlexFinnX

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

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

LCA 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 SOCIAL

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

Instagram: https://instagram.com/gregisenberg/

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

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

LCA 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 SOCIAL

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

Instagram: https://instagram.com/gregisenberg/

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

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

LCA 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 SOCIAL

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

Instagram: https://instagram.com/gregisenberg/

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

FIND LOGAN ON SOCIAL

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

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

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

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

LCA 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 SOCIAL

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

Instagram: https://instagram.com/gregisenberg/

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

FIND JONATHAN ON SOCIAL

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

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

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