The Startup Ideas Podcast

I sit down with Elie Steinbock to unpack loop engineering and how to run a business on loops. We start with the roots of the idea in the lean startup and Toyota's manufacturing, then move into practical, copy-ready workflows for SEO, Facebook ads, and product feedback. Elie walks through a live Google Search Console example on Draft Fantasy and shows how to set up an SEO loop that runs once a month for years. The core promise for listeners: hand repeatable business work to an AI agent that measures an objective metric and improves over time. By the end, you know how loops work and how to launch your first one today.
Timestamps
00:00 – Intro and episode promise
02:54 – What is Loop Engineering
06:51 – Loops with AI agents: build and verify
11:17 – Example of Loop: SEO as an objective-metric loop
15:29 – Setting up the SEO loop and tools
25:27 – Cost and token economics
29:05 – The Paid ads loop
33:10 – The product feedback loop
36:25 – A minimal viable loop for every channel
39:21 – Closing Thoughts
Key Points
Loop engineering means giving an agent a task, an objective metric, and a stop condition so it improves on a schedule.
The lean startup and Toyota's build-measure-learn cycle map directly onto AI agents.
An SEO loop connects to Google Search Console and Data for SEO, then pushes rankings up month over month.
These loops run cheaply — often a few dollars per monthly run — which beats the cost of an agency.
The same pattern extends to Facebook ads, and a product feedback loop stands as the ultimate version.
Start small with a minimal viable loop tied to a clear metric like impressions or ten likes.
Numbered Section Summaries
The Promise of Running a Business on Loops I open by asking Elie what listeners will walk away with, and he frames the whole episode: use loops to automate SEO, ads, and more. We agree the aim is clear, copyable workflows people can launch today.
Where Loop Engineering Comes From Elie traces the recent buzz to Boris from Claude Code and Peter Steinberger, plus a joking tweet from his friend Dimitro about software that builds itself. He grounds it in the lean startup's build-measure-learn cycle, which itself grew from Toyota's lean manufacturing.
Loops With AI Agents: Build and Verify Elie explains the agent version: a build step paired with a verify step and a clear stop condition. He uses Inbox Zero's evals as an example, where the agent keeps adjusting the prompt or model until accuracy passes 90%.
The SEO Loop We dig into SEO as the flagship example, where Google ranking serves as a clean, objective metric. Elie describes a loop that runs once a month, learns from the last run via a markdown memory file, and steadily climbs the rankings.
Setting It Up on Real Data Elie shows his Draft Fantasy Search Console, connects the agent to Google Search Console and Data for SEO, and runs the loop live in Codex. He shares the Atom Eve prompt as a deeper template people can copy.
Cost and Token Economics I raise Ross Mike's skepticism about loop buzz and token spend, and Elie makes the case that an SEO loop stays cheap — often under five dollars per monthly run. He adds that Max-plan users have plenty of headroom, while tight budgets suit cheaper open models like GLM 5.2.
Ads, Product Feedback, and the Ultimate Loop We move to a Facebook ads loop that tests copy and creative variants, favoring a mix of human hooks and AI optimization. Then Elie describes the product feedback loop — reading customer feedback, analytics, and logs to prioritize and ship — as the closest thing to a business that builds itself.
Starting Small We close on the minimal viable loop: begin with one channel and a modest, verifiable metric like impressions or ten likes, then let it compound. Elie and I agree that every part of a business could sit on a loop, and starting one today makes for a low-risk experiment.
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
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FIND ELIE ON SOCIAL
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X/Twitter: https://x.com/elie2222

In this episode I bring Nick Vasilescu, co-founder of Orgo, back on the show to unpack the buzz around Grok 4.5. Nick makes the case for treating Grok 4.5 as a genuine AI co-founder inside harnesses like Hermes and OpenClaw, and he proves it live: spinning up cloud computers, wiring in tools, and building a full startup from idea to landing page to outreach. We race Grok 4.5 against GPT 5.6 Sol, tour Nick's agent stack, and talk through the cost paradox of a model this fast and cheap. Listeners walk away with a concrete playbook for standing up their own always-on agent today.
Get Nick’s Agent Template Stack: https://startup-ideas-pod.link/nicks-stack
Timestamps
00:00 – Intro
01:40 – Why Grok 4.5 release matters
03:39 – Automation versus a co-founder
05:16 – Setting up Hermes and Grok 4.5 on Orgo
09:01 – Why Orgo to manage Agents
11:23 – Grok 4.5 Cost discussion
14:02 – Grok 4.5 Fast Execution and Unlock
16:20 – The Agent tool belt
19:13 – X MCP for trends
20:37 – vidIQ for outliers and thumbnails
22:11 – Finding new startup ideas
26:15 – Grok 4.5 versus GPT 5.6 Sol
30:56 – Ranking and Reviewing the startup ideas
34:06 – The AI agency opportunity
38:46 – Thumbnails over Telegram
40:10 – Reviewing AI Agency Landing Page
41:58 – Vertical MCPs and agent startups
43:36 – Skill graph and the offer
45:25 – Reviewing the Thumbnail Generated
46:42 – Email Outreach Campaign
48:07 – Reviewing Market Insight 1-Pager
50:45 – From a Camry to a Ferrari
52:12 – Reviewing Cold Email Outreach Sequence
53:22 – Closing thoughts
Key Points
Grok 4.5 delivers Opus 4.8-level intelligence at a fraction of the cost and roughly 10-15x the speed of Fable.
I learn to treat the model as a co-founder by handing it email, a phone number, a debit card, memory, and every connector that matters.
Nick runs agents on Orgo cloud computers so they stay online, textable, and ready around the clock.
Live, Grok 4.5 builds a landing page in about 40 seconds and wins on design and copy for me over GPT 5.6 Sol.
The stack ships from idea to website, offer, thumbnail, and cold-email sequence in a single session.
Nick's take: costs keep dropping while speed and intelligence keep climbing, so building your agent now compounds overnight.
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 NICK ON SOCIAL
Youtube: https://www.youtube.com/@nickvasiles
Instagram: https://www.instagram.com/nickvasilescu/
Personal Website: https://www.nickvasilescu.com/

In this episode I sit down with Dan Shipper to see how he runs his work and personal life on OpenAI's Codex Desktop with the 5.6 model. He walks through his card-based email setup, daily feeds for his company and Slack, and the in-app browser that lets his agent collaborate with him inside tools like Proof. We build a small SaaS app live, called Turnaround, and use it to explore why maintenance is the real product in the AI era and where Codex-native software heads next. Along the way Dan shares his pirates-versus-architects framing, his approach to fine-tuning a copy-editing model, and the patterns — pulses, Mailroom, and router threads — that hold his system together. The throughline: pick one simple win, let context do the heavy lifting, and manage the system instead of running every task by hand.
Learn how to get customers with AI Agents: https://startup-ideas-pod.link/GTM-agents-IB
Timestamps
00:00 – Intro
01:16 – Codex and GPT-5.6 Overview
03:40 – Training your own model: the step after skills
04:49 – Automating Email, Slack, Meeting Notes with GPT-5.6
08:53 – Why GPT-5.6 sharpens the results
10:26 – The light bulb moment with Codex
15:05 – Building Turnaround live: a maintenance badge
18:00 – GPT-5.6 vs. Fable: A tier and S-plus tier
19:34 – LFG and goal: looping toward a finished build
24:28 – Huge Opportunity: Codex-native apps
29:33 – The design checkpoint and the "warm paper" quirk
31:32 – Local models
34:04 – From 70% to 100%: pirates and architects
37:22 – Mailroom: giving Codex its own email address
40:58 – Getting started: download, grant access, explore
43:07 – Record and Replay: turning tasks into skills
44:37 – Closing Thoughts: Start small and build over time
Key Points
Codex Desktop plus the 5.6 model runs as a full operating system for knowledge work — email, research, and building software from one surface.
Context is the multiplier: an agent wired into your computer and the web turns every inbox and feed into cards with a clear next action.
Maintenance is the real product in the AI era, now that anyone can one-shot a first version.
Codex-native SaaS — software you and your agent share inside the in-app browser — opens a fresh category with healthier margins.
A live build of Turnaround, a maintenance-status badge, reaches about 70% in one pass; an architect carries it the rest of the way.
Start with one simple win, grow the system over time, and let curiosity lead the way in.
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 DAN ON SOCIAL
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In this solo episode I lay out why I believe building agents is the new SaaS: software is shifting from helping you do the work to doing the work with you. I walk through a full playbook — find a niche, pick a workflow with a paycheck attached, shadow the human, spec the agent, build the minimum useful version, sell a pilot like labor, then productize the repeatable parts. I share live market examples like Slang AI for restaurants and Same Day for home services, plus pricing models and a distribution strategy built on workflow teardowns. I close with a 30-day, zero-to-100 plan for launching an agent-first business. This one is for anyone eager to build with AI or simply become more productive.

Timestamps

00:00 – Intro

01:38 – Building Agents is the new SaaS

04:11 – Pick a valuable workflow

06:12 – Shadow the Human First

09:34 – Build the Minimum Useful Agent

12:50 – The wrapper makes it SaaS

15:50 – Sell the Pilot Like Labor (and Pricing)

18:37 – Own the workflow

21:45 – The Zero-to-100 Plan in 30 Days

24:14 – Closing Thoughts

Key Points

Agent SaaS sells work as a service; the product is the job itself, priced like labor.

Start with a workflow that already carries a paycheck: high frequency, clear finish line, existing software, learnable edge cases, and felt pain.

Shadow a human across 10–20 real jobs before you write a single prompt — the detail is the product.

Ship the minimum useful agent — draft-and-approve, triage, coordinator, or bounded action — and earn autonomy over time.

The wrapper (logs, approvals, evals, analytics) creates trust and turns automation into real SaaS.

Win distribution with workflow teardowns: show the old way, show the agent way, sell the painkiller.

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 lay out the six skills I believe stay valuable as AI grows more capable. I chose these six because each one is open to anyone, each one starts this weekend, and each one rises in value as AI improves. I walk through agents and local models, distribution, robotics, curation, the builder distributor, and IRL community building, with one concrete first rep for every skill. My goal is to hand you one simple, clear map of where the world is heading and exactly how to begin.

Timestamps

00:00 – Intro

00:57 – Skill 1: Running AI Agents and Local Models

04:51 – Skill 2: Marketers Who Build Distribution

09:03 – Skill 3: Robotics Engineers Who Build and Source Hardware

14:29 – Skill 4: Curators Who Yap and Make Short-Form Video

19:05 – Skill 5: The Builder Distributor

23:11 – Skill 6: IRL Community Builders

27:34 – Build Your Skill Stack

Key Points

I chose these six skills because each one rises in value as AI improves.

Skill 1 is the grown-up version of prompt engineering: I design an AI worker with context, tools, memory, permissions, and a goal.

Distribution beats posting, so I learn where attention already lives and turn it into trust before I sell.

Hardware is the new frontier: cheap arms, open-source robot learning, and supplier sourcing put robotics within my reach.

As the builder distributor, I ship the product and win the attention in one loop, which makes the one-person company real.

Real rooms grow scarce and valuable, so I build belonging, trust, and context as my edge.

Numbered Section Summaries

The Premise: What Stays Valuable as AI Improves I open by picturing a near future where AI builds and writes almost anything, then ask which skills hold their value. I narrow it to six skills that anyone can start this weekend, each one climbing in value as AI gets better.

Skill 1 — Agents and Local Models I describe the move from typing prompts to designing a small AI employee with context, tools, permissions, memory, a goal, and a way to check its own work. I add local models with tools like Ollama and LM Studio so you learn which jobs want a giant brain and which jobs want a reliable worker, and I suggest building a daily briefing agent with three sources as your first rep.

Skill 2 — Marketers Who Build Distribution I explain that distribution runs far deeper than posting: it means knowing where attention already lives and the exact words people use to describe their problem. The winning marketer becomes part researcher, storyteller, media operator, and community builder, and the first rep is a distribution map plus 20 hooks for a single idea.

Skill 3 — Robotics Engineers Who Build and Source Hardware I share my big insight: the last decade rewarded moving pixels, and the next decade rewards moving atoms too. With cheap cameras, low-cost arms like the SO-100 / SO-101, open-source work like Hugging Face LeRobot, and small VLA models, I suggest assembling a low-cost arm, teaching it one boring task, documenting every failure, and learning supplier sourcing on Alibaba.

Skill 4 — Curators Who Yap and Make Short-Form Video I cover the curator who watches the timeline and says "this matters because…," translating new models, launches, and news for a specific niche. The algorithms reward raw, authentic yapping that carries a real take, and my rep is a seven-day curation sprint paired with a taste file of hooks, analogies, and titles you love.

Skill 5 — The Builder Distributor I make the case that AI compresses the old build-versus-sell split into one person who prototypes the product, writes the launch thread, records the demo, DMs the first users, and iterates. The loop is the whole game, and my rep is a 48-hour loop: build the smallest version of one problem, then create 10 pieces of distribution before you feel ready.

Skill 6 — IRL Community Builders I close with the old-school skill that grows more valuable as work moves to agents and feeds: real rooms full of ambitious people. Scarcity moves toward belonging, trust, and context, so I suggest hosting six to eight people around one sharp question and sending a recap that turns the room into a network

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/