The Codex feature that works while you sleep - How I AI | Lyssna här

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

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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