Episode
The Codex feature that works while you sleep
- Podcast
- How I AI
- Published
- May 27, 2026
- Duration seconds
- 1820
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Summary
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: What Goals are and how they differ from standard prompts How I used /goal to eliminate hundreds of error logs in my codebase over a five-hour autonomous run 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 How to write effective /goal prompts with measurable outcomes, verification methods, and constraints When not to use Goals and what makes a strong versus weak Goal 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 — 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 Line…