I sit down with Oliver Henry, a full-time employee who is generating hundreds of dollars in monthly recurring revenue from mobile apps he barely touches, thanks to an AI marketing agent he built on OpenClaw called Larry. We walk through how Larry autonomously creates TikTok slideshow content, reads analytics, iterates on hooks and CTAs, and feeds performance data back into the content loop. Oliver also shares how he packaged the entire system as a free, downloadable skill on Larry Brain so anyone can replicate it. By the end of the episode, you will understand the full “Larry Loop”—from content creation to conversion optimization and why skills are poised to reshape how we think about SaaS altogether.

I'm hosting a free workshop so you can build your business in the age of AI.

Sign up here: https://startup-ideas-pod.link/build-with-ai-2026

Links Mentioned:

Larry Brain: https://startup-ideas-pod.link/Larry-brain

QMD Skill: https://startup-ideas-pod.link/qmd-skill

Timestamps

00:00 – Intro

01:25 – Background on Marketing IOS app with OpenClaw

06:43 – Larry’s first posts and iterating

03:55 – Posting Strategy and First viral hit: 137K views

12:01 – Communicating with Larry via WhatsApp

12:53 – Mission control vs. single-agent workflow

14:36 – The CTA problem: views without conversions

17:07 – The Larry Loop explained: analytics → content → metrics → iterate

18:15 – Boomers, engagement bait, and the algorithm boost

20:33 – The importance of iteration

23:36 – How Larry brainstorms and validates new hooks

27:57 – The power of OpenClaw

30:04 – The vision for Larry

31:49 – Model choices: Claude vs. OpenAI and over-optimization

34:38 – OpenClaw vs. cloud alternatives (Manus, Cowork)

37:39 – Getting started: Larry Brain onboarding and 80+ skills

40:13 – Ernesto Lopez: $70K MRR using the Larry Loop

41:27 – Doing all of this with a full-time job

42:28 – QMD Skill for cutting token usage and closing thoughts

Key Points

• An AI agent (Larry) built on OpenClaw autonomously creates TikTok slideshows, reads analytics, and iterates on content—driving hundreds of dollars in MRR with almost zero manual effort.

• The “Larry Loop” is a full-funnel feedback cycle: TikTok analytics feed into content creation, and app metrics feed back into the top of the funnel so the agent continuously improves.

• Posting TikTok content as a draft (rather than directly via API) lets you add trending sounds and avoids the algorithm penalty for bot-posted content.

• Hooks drive views; CTAs drive conversions. Diagnosing which is underperforming is the key to scaling.

• OpenClaw skills are locally owned, fully editable, and free from hosting or subscription costs—Oliver argues they will change how we think about SaaS.

• Picking a model (Claude or OpenAI) matters far less than learning how to work with it; 98% of users will see little difference between incremental model upgrades.

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 OLIVER ON SOCIAL

X: https://x.com/oliverhenry

Larry Brain: https://www.larrybrain.com

I walk through a complete 30-step playbook for building a modern SaaS company using AI agents, media, and sub-niche positioning. The core argument is that SaaS is evolving rather than dying, and the builders who win are the ones who combine a focused workflow product with a media flywheel and agent-powered execution. Drawing on my experience advising TikTok, Reddit, and building three venture-backed companies, I lay out a step-by-step framework any solo builder or small team can follow from niche selection through to becoming the default execution layer in their market.

I'm hosting a free workshop so you can build your business in the age of AI.

Sign up here: https://startup-ideas-pod.link/build-with-ai-2026

Timestamps

00:00 – Intro

01:18 – Step 1: Start with a sub-niche inside a big market

02:21 – Step 2-5: Map Workflow end to end

06:37 – Step 6-7: Create scroll-stopping content

10:15 – Steps 8–9: Double down on organic and run paid ads on winners

11:11 – Step 10: Capture emails from day one

11:47 – Steps 11–13: Manually perform the workflow and document every step

13:40 – Steps 14–16: Turn mechanical tasks into agent workflows and connect to real tools

14:47 – Step 17: Add orchestration, retries, and verifications

16:32 – Steps 18–19: Store user preferences and launch with high-touch onboarding

18:20 – Steps 20–21: Publish measurable proof and move to per-task pricing

21:21 – Steps 22–23: Outcome pricing and compounding value

22:07 – Steps 24–27: Expand workflows, build switching costs, create case studies

23:25 – Steps 28–30: Hire from the niche, reinvest profits, become the default layer

24:08 – Closing thoughts

Key Points

• Start in a specific sub-niche, not a broad market — that is where sustainable cash flow lives, not VC competition.

• The future of SaaS starts as a service business: manually performing the workflow is how I learn what to automate.

• Media is a core business function, not an afterthought — content creation runs in parallel with product development from day one.

• Mechanical tasks are AI's strongest suit; separating judgment tasks from mechanical tasks is the key architectural decision.

• Per-task and outcome-based pricing is replacing per-seat models, and indie builders have a structural advantage in making that shift.

• Orchestration — coordinating agents, validating outputs, and resolving issues — is the new interface layer and the highest-value position to own.

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/

I sit down with Cody Schneider, growth engineer and co-founder of Graph, for a live, hands-on crash course in GTM (go-to-market) engineering powered by Claude Code. Cody walks through how he runs multiple AI agents simultaneously to handle everything from bulk Facebook ad creation and LinkedIn outreach to cold email campaigns and live data analysis — tasks that used to require a team of dozens. By the end of the episode, you'll have a full understanding of how to set up your own agent workflow, the specific tools involved, and why domain expertise paired with AI is the real competitive advantage right now.

Cody’s GTM Toolkit:

AI/Agent Tools: Claude Code, Perplexity API, OpenAI Codex

Marketing & Outreach: Instantly AI (cold email), Phantom Buster (LinkedIn scraping/automation), Apollo API (data enrichment), Million Verifier (email verification), Raphonic (podcast host scraping):

Advertising: Facebook Ads API, Facebook Ads Library (competitor research), Nano Banana Pro (AI image generation), Kai AI (bulk image generation), HeyGen API (UGC/video generation)

Infrastructure & Deployment: Railway.com (servers, on-the-fly databases/Postgres), Vercel (deployment)

Data & Analytics: Graphed / Graphed MCP (data warehouse, live data feeds), Google Analytics 4

CRM & Communication: Salesforce (mentioned as comparison), Intercom, SendGrid API, Slack, Cal.com API

Productivity & Design: Notion, Super Whisper (voice transcription), Claude Code front-end design skill, HTML to Canvas (for converting React components to PNGs)

Timestamps

00:00 – Intro

02:02 – What Is GTM Engineering?

05:12 – Setting Up Your Agent Workspace & Environment File

07:54 – Live Demo: LinkedIn Auto-Responder

09:56 – Live Demo: Bulk Facebook Ad Generator

12:31 – Live Demo: Cold Email Campaign Automation (Raphonic + Instantly)

14:47 – Live Demo: Creating Notion Documents via Claude Code

16:46 – Live Demo: Bulk Ad Creative Generator

26:05 – Live Demo: LinkedIn Engagement Scraper to Cold Email Pipeline

28:16 – Context Switching Across Tasks

29:19 – Live Demo: Bulk Ad Generator

31:41 – Live Demo: Data Analysis: Turning Off Low-Performing Ads

35:28 – Summary of GTM Engineering Workflow

37:48 – Deploying Agents and On-the-Fly Databases with Railway for Data Analysis

41:28 – The Dream of Autonomous Marketing

48:50 – Building API-First Products and Agent-Native Infrastructure

Key Points

• GTM engineering has evolved from Clay-style data enrichment workflows into full-stack agent orchestration — where one person running multiple Claude Code agents can replace the output of a large team.

• The practical setup starts with a single folder containing your environment file (API keys for every tool in your stack), transcription software like Super Whisper, and Claude Code.

• Cody demonstrates running seven or more agents simultaneously across LinkedIn outreach, Facebook ad creation, cold email campaigns, Notion document generation, and live data dashboards.

• Code-generated ad creative (React components exported as PNGs) costs nearly nothing to produce at scale and allows rapid testing of messaging variations before investing in polished visuals.

• Deploying proven workflows to Railway turns one-off agent tasks into always-on, autonomous processes that run 24/7.

• Domain expertise is the real multiplier — the vocabulary you bring from your field determines the quality of output you can extract from these tools.

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 CODY ON SOCIAL:

Cody’s startup: https://www.graphed.com/

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

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

I take Perplexity Computer for its first real spin and test five use cases that founders can use right now to make money and move faster. I connect my Gmail live, let the AI send cold outreach on my behalf, set up daily competitive intelligence monitoring, research 50 VCs for a mock Series A, and kick off a full investment memo on Shopify, all in a single session. By the end, I walk away genuinely impressed and convinced the $200/month Max plan can pay for itself with one closed deal.

Timestamps

00:00 – Intro

00:35 – What We're Testing Today

02:35 – Use Case 1: Warm Outbound at Scale

15:31 – Use Case 2: Automated Competitive Intel

25:11 – Use Case 3: Investor Pipeline Research (50 VCs)

26:58 – Use Case 4: Turn a Podcast Into a Content Machine

31:39 – Use Case 5: Live Market Diligence (Shopify Investment Memo)

34:17 – Bonus: Additional Use Cases Worth Trying

36:06 – Closing Thoughts and Takeaways

Key Points

• Perplexity Computer runs multiple research tasks in parallel using sub-agents, skills, and tools — functioning like a virtual analyst working across the open internet.

• The cold outreach workflow found real email addresses, researched each prospect's recent activity, and drafted hyper-personalized emails that reference specific details — then sent them through a connected Gmail account.

• Setting up recurring competitive intelligence monitoring (daily reports, weekly sponsor tracking) is where the tool shifts from a one-off assistant to a persistent agent running on autopilot.

• The VC pipeline research use case demonstrates how founders who lack a warm network can still build a structured, targeted investor list with fund sizes, thesis alignment, and partner contacts.

• At $200/month on the Max plan, the cost pays for itself if even one sponsorship deal or investor meeting closes from the outreach.

• The platform already supports connectors for Gmail, Google Drive, Slack, HubSpot, Ahrefs, Reddit, and more — making it a serious contender for centralized founder workflows.

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/

I sit down with my dear friend Vin (Internet Vin) for a deep, hands-on walkthrough of how he uses Obsidian and Claude Code together as a thinking partner, idea generator, and personal operating system. Vin demonstrates live how Claude Code can read, reference, and surface patterns across an entire Obsidian vault of interlinked markdown files — turning years of personal notes into actionable insights, project ideas, and even custom commands. This episode covers everything from the basic setup to advanced workflows like tracing how ideas evolve over time, generating contextual startup ideas, and delegating tasks to autonomous agents. If you are serious about getting the most out of LLMs, this is the episode that shows you how your own writing becomes the fuel.

Link to Vin's skills and my notes: https://startup-ideas-pod.link/obsidian-commands

Timestamps

00:00 – Intro

02:10 – What Is Claude Code?

06:45 – What Is Obsidian?

10:28 – Obsidian CLI: Giving Claude Code Access to Your Vault

14:53 – Thinking Tools: Ghost, Challenge, Emerge, Drift, Ideas, Trace

22:51 – The Role of Reflection in Building a Powerful Vault

25:15 – How This Relates to OpenClaw (Autonomous Agents)

29:13 – Live Demo: /Connect — Bridging Two Domains

31:25 – Meeting Notes & External Info

33:23 – Why Vin Keeps a Strict Separation: Human-Written vs. Agent-Written

35:42 – How Claude Code uses Obsidian

41:46 – Live Demo: /Ideas — Generating Actionable Ideas from Your Vault

47:10 – The /Graduate Command

50:29 – Why Obsidian Is the Missing Link for AI Companies

54:53 – The Alpha: Why 99.99% of People Won't Do This

57:38 – Closing Thoughts & Where to Follow Vin

Key Points

• Claude Code is a command-line agent that can control your computer through natural language — and its power multiplies when you feed it rich, persistent context files instead of re-explaining projects every session.

• Obsidian is uniquely valuable because it sits on top of interlinked markdown files; the new Obsidian CLI lets Claude Code see both the files and the relationships between them.

• Vin built custom slash commands (/trace, /connect, /ideas, /ghost, /drift, /challenge) that let him use Claude Code as a thinking partner — surfacing latent patterns, contradictions, and ideas he would never see on his own.

• Writing and daily reflection are the engine of the entire system: the more you write, the more context the agent has, and the more it can do for you.

• Vin maintains a strict rule that only he writes into the Obsidian vault — the agent reads and generates outputs separately, so pattern detection always reflects his own thinking.

• Markdown files are the real oxygen of LLMs; if you are serious about building a personal OS with AI, a centralized note-taking tool built on markdown is foundational

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 VIN ON SOCIAL

X: https://x.com/internetvin

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

Personal Website: https://internetvin.com/Index

I sit down with Nick Vasilescu, founder of Orgo, to break down exactly how people are turning OpenClaw — the open-source computer use agent — into a real revenue stream. Nick walks me through live demos of deploying OpenClaw for business clients, shows how sub-agents and parallelization multiply output, and shares his design-thinking framework for identifying and automating high-value workflows. We even build a TikTok trend-hunting agent from scratch during the episode to prove how fast you can go from idea to working prototype.

Timestamps

00:00 – Intro

02:50 – Getting Set Up with OpenClaw

05:02 – Finding the Wedge: Automating Real Business Outcomes

07:39 – The Upwork Hack: Finding Paid Automation Jobs

09:41 – Andreessen Horowitz on Computer Use Agents

11:01 – Setting Up a Client Workspace in Minutes

12:41 – Design Thinking: Mapping Value vs. Effort

15:23 – Using OpenClaw to Prioritize Automations

17:57 – Building Automation Pipelines with Claude Code

19:33 – Sub-Agents vs. Tasks vs. Skills

23:22 – Automation Possibilities are huge

24:54 – Live Build: TikTok Trend Hunter from Idea Browser

32:09 – Start with an MVP Skill, Then Iterate

32:41 – Architecture of the TikTok Agent Script

36:59 – The Arbitrage Opportunity: Most Businesses Still Need Help

40:30 – Agents Are the New SaaS

42:42 – Demoing TikTok Trend Hunter

44:11 – Building Assets & the Abundance AI Will Bring

47:58 – Closing Advice: Get Your Hands Dirty

Links Mentioned:

Orgo: https://startup-ideas-pod.link/orgo

Key Points

• OpenClaw is more than a personal assistant — it is a deployable business tool that can automate end-to-end workflows for paying clients.

• The fastest path to revenue is finding automation jobs on Upwork (RPA, desktop automation, workflow building) and fulfilling them with OpenClaw and Claude Code.

• Sub-agents allow your main OpenClaw instance to delegate specialized tasks, keeping the orchestrator free and multiplying throughput through parallelization.

• A design-thinking approach — mapping automation opportunities by value vs. effort — is essential before building anything.

• Verticalizing computer use agents for a specific industry (manufacturing, real estate, distributorships) is the major startup opportunity Andreessen Horowitz is calling out.

• Always start by building a lightweight MVP skill, test it, debug, and iterate before scaling.

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

I sit down with Frey Chu to go deep on how to use Claude Code to build AI-coded directories, specifically how to tackle the hardest part: getting valuable data. Frey walks us through three real-world directory examples (a funeral home directory, a senior living directory, and GasBuddy), we play a game guessing their traffic and monetization, and then he does a full live walkthrough of the seven-step process he used to build a luxury restroom trailer directory in four days for under $250. I also ask him about the future of directories in a world where LLMs are changing how people search.

Timestamps

00:00 – Intro

02:15 – What you’ll learn

03:00 – Directory Game:Parting(Funeral Home Directory)

05:42 – Directory Game: A Place for Mom (Senior Living Directory)

08:00 – Directory Game: GasBuddy (Crowdsourced Gas Price Directory)

12:32 – The Data Moat Thesis

14:02 – Luxury Restroom Trailers: The Niche Directory Demo

15:52 – Before & After: WordPress Directory vs. Claude Code Directory

19:04 – Cost Breakdown: Built in 4 Days for Under $250

21:23 – Step 1: Scraping Raw Data with Outscraper

22:25 – Step 2: Cleaning Data with Claude Code

23:27 – Step 3: Using Crawl4AI for Automated Website Verification

28:01 – Step 4: Enriching Trailer Inventory Data

31:33 – Step 5: Scraping & Verifying Images with Claude Vision

36:33 – Step 6: Amenities, Features & Filter Data

38:31 – Step 7: Service Areas

39:15 – Niche Directory Ideas: Dementia Care, ADA Bathrooms, Tap Water Quality

43:38 – For Naysayers: Is Building a Directory Worth It in 2026?

47:51 – LLMs, AI Search & the Future of Directories

Links Mentioned:

Outscraper: https://startup-ideas-pod.link/outscraper

Crawl4AI: https://startup-ideas-pod.link/crawl4AI

Key Points

• Data is the moat for any successful directory — and with Claude Code plus Crawl4AI, the hardest part (data cleaning and enrichment) is now dramatically faster and cheaper.

• Every successful directory helps people save time, save money, or make money — and price transparency is a massive, underserved opportunity across boring niches.

• Frey built a fully enriched luxury restroom trailer directory in four days for under $250, a process that would have taken 2,000+ hours of manual work.

• Monetization depends on the niche: lead generation, vertical SaaS, agency services, ads, debit cards, affiliate, and marketplace models all work.

• Directories remain strong in an AI search world because users browsing a directory are in the decision-making phase, especially in high-stakes niches like health, legal, finance, and senior living.

• Building a directory is one of the best playgrounds to learn Claude Code, SEO, and lead generation — even if the first one is just a learning exercise.

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 FREY ON SOCIAL

X/Twitter: https://x.com/freychu

YouTube: https://www.youtube.com/@FreyChu/featured

ShipYourDirectory: https://www.shipyourdirectory.com/

I sit down with Jonathan Courtney, host of Unscheduled CEO Podcast, to talk about the gap between building AI-powered products and actually making money from them. Jonathan walks through his four-step "Promoter Blueprint" — traffic, holding pattern, selling event, and conversion — and shows exactly how he uses Claude and Claude Code to execute each phase. This one is a wake-up call for any founder spending more time optimizing automations than promoting what they sell.

Timestamps

00:00 – Intro and Welcome Back

04:13 – The Founder’s Real Job: Promotion, Period

09:23 – The Promoter Blueprint (Screen Share)

19:38 – Using AI with Promoter Blueprint

22:52 – Inside Claude: Jonathan's Claude Workflow

28:41 – Moving from Claude to Claude Code for Builds

30:55 – Building a $450K Webinar Campaign with Claude

37:30 – Scale Up, Abundance Over Efficiency

43:57 – Final Advice: Embrace Your Role as Promoter

Key Points

• A CEO's primary job is promoting the business — building is secondary to getting people in the door.

• AI tools become "procrastination machines" when builders optimize systems that have zero customers.

• Every revenue engine follows four phases: traffic, holding pattern, selling event, conversion (and a loop back).

• Claude projects combined with Claude Code create a fast workflow for going from research to a shipped marketing asset in under an hour.

• The current play is abundance and scale, using AI to run five campaigns instead of one, rather than cutting headcount for efficiency.

• Off-the-shelf solutions still beat custom builds in many cases — always ask before you spend three days vibe-coding something.

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/

I sit down with James Dickerson, a growth marketer, Claude Code power user, and the mind behind The Boring Marketer, to watch him build an entire marketing system live from the terminal. James walks me through his full workflow: deep research with the Perplexity MCP, positioning angle discovery, direct response copywriting, landing page creation, lead magnet design, ad creative generation with Remotion, and traffic strategy — all inside Claude Code using stacked skills and MCPs. By the end, we have a conversion-ready funnel for a fictional AI marketing agency serving boring local businesses, and James shares the free playbook he created from a two-hour recorded session so listeners can replicate the process themselves.

Timestamps

00:00 – Intro and Camera Setup Chat

02:57 – Episode Preview: Building a Vibe Marketing System

06:33 – Perplexity MCP for Market Research

08:13 – Live Demo: Researching an AI Marketing Agency Niche

09:48 – Positioning Angles Skill

11:34 – Direct Response Copywriting Skill

15:43 – Playwright MCP for Competitive Intelligence

17:37 – Keeping Your MCP Stack Simple (Perplexity, Firecrawl, Playwright)

20:59 – Anthropic's Front End Design Skill

25:51 – Remotion: Creating Video Ads from the Terminal

28:47 – Landing Page Review: "Boring Money" Agency

30:43 – Orchestrator Skill: Deciding What to Do Next

34:10 – Lead Magnet Skill

34:10 – Are Skills Underrated

39:08 – Claude Code Costs: $200/Month Max Subscription

42:03 – Live Lead Magnet Review

43:28 – Keyword Research and Traffic Strategy Skills

45:23 – The Evolution of Vibe Marketing

47:11 – Remotion Setup and Ad Creation Demo

54:47 – Final Ad and SEO Page Review

57:25 – Final Thoughts

Links Mentioned:

Vibe Marketing Playbook: https://startup-ideas-pod.link/vibe_marketing_playbook

Vibe Marketing Skills: https://startup-ideas-pod.link/Vibe_marketing_skills

Key Points

• Spending an hour on upfront research with the Perplexity MCP produces dramatically better marketing outputs than jumping straight into prompting.

• Skills are instruction manuals for your AI agent — the expert perspective you build into them (the last 10–20%) is what separates great output from generic AI slop.

• You can build a complete marketing funnel — landing page, lead magnet, ad creative, SEO content, and traffic strategy — in a single Claude Code session.

• Remotion lets you create programmatic video ads directly from the terminal at zero cost, in multiple formats, with custom branding.

• An orchestrator skill can guide you through what to do next, removing the "I have a landing page, now what?" paralysis.

• The same Claude Code environment where you build products can also ship your entire marketing system — research, copy, design, and deployment in one place.

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 JAMES ON SOCIAL

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

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

I sit down with Morgan Linton, Cofounder/CTO of Bold Metrics, to break down the same-day release of Claude Opus 4.6 and GPT-5.3 Codex. We walk through exactly how to set up Opus 4.6 in Claude Code, explore the philosophical split between autonomous agent teams and interactive pair-programming, and then put both models to the test by having each one build a Polymarket competitor from scratch, live and unscripted. By the end, you'll know how to configure each model, when to reach for one over the other, and what happened when we let them race head-to-head.

Timestamps

00:00 – Intro

03:26 – Setting Up Opus 4.6 in Claude Code

05:16 – Enabling Agent Teams

08:32 – The Philosophical Divergence between Codex and Opus

11:11 – Core Feature Comparison (Context Window, Benchmarks, Agentic Behavior)

15:27 – Live Demo Setup: Polymarket Build Prompt Design

18:26 – Race Begins

21:02 – Best Model for Vibe Coders

22:12 – Codex Finishes in Under 4 Minutes

26:38 – Opus Agents Still Running, Token Usage Climbing

31:41 – Testing and Reviewing the Codex Build

40:25 – Opus Build Completes, First Look at Results

42:47 – Opus Final Build Reveal

44:22 – Side-by-Side Comparison: Opus Takes This Round

45:40 – Final Takeaways and Recommendations

Key Points

• Opus 4.6 and GPT-5.3 Codex dropped within 18 minutes of each other and represent two fundamentally different engineering philosophies — autonomous agents vs. interactive collaboration.

• To use Opus 4.6 properly, you must update Claude Code to version 2.1.32+, set the model in settings.json, and explicitly enable the experimental Agent Teams feature.

• Opus 4.6's standout feature is multi-agent orchestration: you can spin up parallel agents for research, architecture, UX, and testing — all working simultaneously.

• GPT-5.3 Codex's standout feature is mid-task steering: you can interrupt, redirect, and course-correct the model while it's actively building.

• In the live head-to-head, Codex finished a Polymarket competitor in under 4 minutes; Opus took significantly longer but produced a more polished UI, richer feature set, and 96 tests vs. Codex's 10.

• Agent teams multiply token usage substantially — a single Opus build can consume 150,000–250,000 tokens across all 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/

Morgan Linton

X/Twitter: https://x.com/morganlinton

Bold Metrics: https://boldmetrics.com

Personal Website: https://linton.ai

I sit down with Matt Van Horn, creator of the "Last 30 Days" skill for Claude Code, as he demonstrates how this tool turns anyone into a real-time research expert. By pulling trending data from X, Reddit, and the web, Last 30 Days supercharges Claude Code prompts with current intelligence. Matt walks through live demos, from discovering popular rap songs to generating cold emails to building a Moltbot competitor, showing how non-engineers can ship products using AI tools with almost no coding background.

Timestamps

00:00 – Intro

01:39 – What Is "Last 30 Days"

03:29 – Live Demo: Most Popular Rap Songs

04:47 – Cold Email Frameworks Demo

07:04 – Growing an X Following Using Recent Data

07:49 – Researching Moltbot to Build a Competitor

08:26 – Best Practices for Last 30 days

09:26 – Growing an X Following Using Recent Data Results

11:17 – Best Practices for Webdesign Research

13:44 – Building an Enterprise Moltbot Clone Live

17:43 – Generating Figma Prompts and Nano Banana Images

21:54 – Advice for Non-Engineers Getting Started with Claude Code

Links Mentioned:

Last 30 Days Skill: https://startup-ideas-pod.link/last30days

Key Points

• Last 30 Days searches X, Reddit, and the web for content from the past month, creating highly optimized prompts for Claude Code.

• The tool requires Claude Code access, an OpenAI API key (for Reddit data), and an XAI key (for X/Twitter access).

• Matt demonstrates using minimal prompts to generate cold email frameworks, research trending topics, and kickstart new product builds.

• Compound Engineering serves as a planning tool to turn research into structured project roadmaps.

• Non-engineers can ship functional products by combining Claude Code with ChatGPT for troubleshooting errors via screenshots.

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/

Matt Van Horn

X/Twitter: https://x.com/mvanhorn