I let Codex run for 6 hours. Here’s what happened.

From the creator

In this 30-minute episode, I walk through my favorite feature in Codex: the /goal command. I show how Goals transform AI from a turn-based assistant that needs constant ‘what’s next?’ prompting into an autonomous agent that can work for hours on complex, multi-step tasks. I share three real examples: eliminating thousands of Sentry errors, cleaning 3,900 emails down to 68, and organizing hundreds of Linear tasks. *What you’ll learn:* 1. What Goals are and how they differ from standard prompts 2. How I used /goal to eliminate hundreds of error logs in my codebase over a five-hour autonomous run 3. The non-technical use cases that make Goals incredibly powerful: cleaning up 3,900 emails in under four hours and organizing hundreds of project management tasks in Linear 4. How to write effective /goal prompts with measurable outcomes, verification methods, and constraints 5. When not to use Goals and what makes a strong versus weak Goal 6. Why Goals represent a fundamental shift in how we work with AI, from babysitting the model to managing it *Brought to you by:* Mercury—Radically different banking loved by over 300K entrepreneurs: https://mercury.com/ *In this episode, we cover:* (00:00) Introduction (01:50) What is /goal and when should you use it? (02:45) The difference between prompts and Goal-based loops (04:06) Claire’s first five-hour 45-minute autonomous coding task (05:05) How to manage a Goal lifecycle: view, pause, resume, and clear (06:06) How to write strong goals: outcomes vs. outputs (07:34) The six components of effective Goals (08:57) Example: Reducing P95 checkout latency with /goal (09:36) Demo: Using /goal to eliminate Sentry errors in ChatPRD (13:18) Demo: Burning down Vercel API errors (17:28) Non-technical use case: Cleaning 3,900 emails with /goal (21:24) Demo: Using /goal to clean up Linear project tasks (24:41) When not to use /goal (26:10) Why /goal changes everything *Tools referenced:* • Codex: https://openai.com/codex/ • Sentry: https://sentry.io/ • Vercel: https://vercel.com/ • Linear: https://linear.app/ *Other reference:* • OpenAI blog post “Using Goals in Codex”: https://developers.openai.com/cookbook/examples/codex/using_goals_in_codex *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 _Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email jordan@penname.co._

Choose to Build with AI
Matched to Codex

AI Maker Residence 3

The third AI workshop taught by our legendary teacher, Nick Sarafa. This is a full-day hands-on training workshop for purposeful co-creation with AI using Claude Code. Imagine having access to hundreds of billions of dollars of computing power and knowing exactly how to make it work for you through the power of super intelligence.

◆ Fri 09 Oct 2026 ◆ KOKO Cafe, London ◆ With Nick Sarafa
AI Maker Residence 3
Live event
AI Maker Residence 3
Fri 09 Oct 2026

More like this

Running one yourself?

List your AI event,
wherever it is.

A meetup, a workshop, a hackathon, a conference. Any city, or online. Tell us about it and it lands in front of people already learning this stuff.