About this episode
Claire Vo discusses the /goal command in Codex, showcasing its ability to transform AI into an autonomous agent for complex tasks.
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…
People in this episode
Host: Claire Vo
Topics covered
- AI
- Codex
- autonomous agents
- goal-based tasks
- error management
- email organization
Keywords
- Codex
- /goal
- autonomous agent
- error logs
- email cleanup
- project management
- AI prompts
Sponsors
Mercury
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