Grace Clarke is an AI educator and former marketing consultant who taught herself Claude Code earlier this year and built a curriculum out of the process. She now runs her entire service business on tools she’s built with Claude, including a pipeline operator, a proposal maker, and a Gmail replacement she created in under 30 minutes, and teaches individuals and teams to do the same.

What you’ll learn:

1. How to build an hourly pipeline in Claude that moves clients through your process automatically
2. Why Grace ditched traditional proposals for password-protected, interactive HTML documents built in Claude
3. How she uses a “voice guide” skill file so every Claude output sounds like her, not like AI slop
4. The two-step forcing function she teaches non-technical clients to build the muscle of opening Claude
5. Why she started building in Claude Code, then handed the work off to Cowork via a Markdown session file
6. How she replaced Gmail entirely with a custom inbox
7. Why she teaches “intent engineering” instead of prompt engineering, and what that looks like in practice
8. How she uses Claude on her phone, on walks, to track workouts and manage plants alongside client work

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Brought to you by:

Bolt.new—Turn your idea into a real product

Hyperagent—Deploy fleets of agents that handle real work

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In this episode, we cover:

(00:00) Grace’s background and why she started building with Claude

(04:48) The pipeline operator: what it is and how it runs her business every hour

(08:48) Building the muscle memory to use AI

(12:02) What goes into building a skill file (voice guide, proposal rules, versioning)

(13:50) How she built her proposal maker

(16:15) The voice guide: teaching Claude how she thinks, not just how she writes

(21:22) Live demo of the custom Gmail replacement built in Cowork

(30:44) Workout tracking, plant photos, and tiny daily Claude habits

(34:51) The biggest misconception holding people back from adopting AI

(38:36) What Grace does when Claude is not giving her what she wants

(40:38) Claude builds a proposal for Claire in real time

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Tools referenced:

• Claude: https://claude.ai

• Claude Code: https://claude.ai/code

• Netlify: https://www.netlify.com

• Google Forms: https://forms.google.com

• Google Sheets: https://sheets.google.com

• Google Cloud (for service accounts and custom connectors): https://cloud.google.com

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Other reference:

• Stratechery by Ben Thompson: https://stratechery.com

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Where to find Grace Clarke:

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

X: https://x.com/graceclarke

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Where to find Claire Vo:

ChatPRD: https://www.chatprd.ai/

Website: https://clairevo.com/

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

X: https://x.com/clairevo

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Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

AI writes most of my code now, and that created a new problem: a PR queue I couldn’t keep up with. In this episode, I walk through how I built Merge Mommy, a Vercel Eve agent that reads every PR after checks pass, scores it across six risk dimensions, auto-approves the low-risk ones, and pings me in Slack for anything that needs a human. I built the whole thing in one Codex session, it’s SOC 2 compatible, and it’s already cleared my backlog.

What you’ll learn:

1. Why AI-generated PRs create a review bottleneck and why the answer isn’t reviewing all of them
2. How Intercom 5x’d PR approval speed and reduced revert rates by putting AI in the review loop
3. Why Vercel Eve is the simplest framework I’ve found for deploying AI agents in Slack and GitHub
4. How I built a full PR review agent in Codex with one prompt and a few steering turns
5. The six components I use to score PR risk (blast radius, reversibility, data security, ops impact, verification gap, and change surface)
6. How I used Chrome browser use to handle Slack bot and GitHub app configuration so I never had to click through setup screens manually
7. Why auto-approved PRs can be SOC 2 compliant as long as the process is auditable, queryable, and in your risk policy
8. How to set up Slack escalation so low-risk PRs become a two-click merge with no manual review

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Brought to you by:

WorkOS—Make your app Enterprise Ready today

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In this episode, we cover:

(00:00) The PR review backlog problem nobody’s talking about

(02:35) Why you don’t have to review every AI-generated PR

(05:14) How Intercom built AI-approved PRs (and proved they’re safer)

(06:10) How the Eve framework works (directory, skills, channels, connectors)

(09:16) The Codex prompt I used to build the entire bot

(11:36) What the agent actually does: read, score, approve, or escalate

(13:07) Setting up your Eve agent

(15:47) The six-component risk scoring model

(17:23) Merge Mommy in action: three live PR examples

(21:10) Recap and how to build your own version

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Tools referenced:

• Vercel Eve: https://vercel.com/eve

• Vercel AI SDK: https://sdk.vercel.ai/

• Vercel Chat SDK: https://chat-sdk.dev/

• Codex (OpenAI): https://openai.com/codex

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Other references:

• AI is approving our pull requests: Here’s how we made it safe: https://www.intercom.com/blog/ai-is-approving-our-pull-requests-heres-how-we-made-it-safe/

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Where to find Claire Vo:

ChatPRD: https://www.chatprd.ai/

Website: https://clairevo.com/

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

X: https://x.com/clairevo

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Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.

Nick Baumann is on the Developer Experience team at OpenAI, where he spends his days building with, testing, and communicating the capabilities of ChatGPT Codex and ChatGPT Work. In this episode, Nick walks me through several features that have launched or evolved recently: the new voice interface with its screen-reading orb, the Heartbeats automation system in ChatGPT Work on mobile, the live ChatGPT Sites deployment feature, and his personal use case for AI-assisted UGC video editing.

What you’ll learn:

1. How two-person voice chat works
2. How Heartbeats work
3. How to build and deploy a live website with ChatGPT Sites
4. How to delegate a flight search, hotel booking, and expense report to Codex in a single voice conversation without opening a single app manually
5. Why ChatGPT Work on mobile is the most underutilized AI workflow for people already using the ChatGPT app
6. How to use a custom UGC Video plugin to feed 50 raw clips into ChatGPT, let it pull transcripts, pick the best takes, and assemble a finished vertical video overnight

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Brought to you by:

Bolt.new—Turn your idea into a real product

Hyperagent—Deploy fleets of agents that handle real work

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In this episode, we cover:

(00:00) Introduction to Nick Baumann

(02:56) What’s new in Codex

(05:40) ChatGPT Work and Heartbeats

(06:40) Live Codex voice demo

(13:25) Latency vs. intelligence

(14:36) Quick recap

(15:04) Voice on mobile and the ChatGPT Sites workflow

(21:24) Live UGC video demo

(32:30) How I AI website results

(34:04) Lightning round and final thoughts

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Tools referenced:

• ChatGPT Codex: https://chatgpt.com/codex

• ChatGPT Sites: https://chatgpt.site

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Where to find Nick Baumann:

LinkedIn: linkedin.com/in/nick--baumann

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Where to find Claire Vo:

ChatPRD: https://www.chatprd.ai/

Website: https://clairevo.com/

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

X: https://x.com/clairevo

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Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email jordan@penname.co.