How to Use /Goal to Do More With AI
Description
Listen: full episode.A practical explanation of how to use the /goal feature in Codex or Claude Code when a normal prompt is not enough. The useful idea is simple: do not just tell the AI the next step; define what should be true when the work is finished, how success should be checked, what boundaries it must stay within, and what evidence it should produce. This is especially useful for knowledge work such as audits, vendor reviews, market research, literature reviews, and other tasks where the answer needs to be checked against clear criteria.
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The AI Daily Brief
The AI Daily Brief
How to Use /Goal to Do More With AI
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Open original sourceKey Takeaways
- Use /goal when the task needs a clear finish line, not just a one-off answer.
- A good goal should define the outcome, evidence of completion, constraints, allowed resources, how the AI should keep trying, and when it should stop.
- The scope needs to be “just right”: not so narrow that the AI cannot investigate, and not so broad that success becomes impossible to verify.
- For knowledge work, /goal works best when the output is an audit trail: what was checked, what was supported, what was contradicted, what remains uncertain, and where the evidence runs out.
- The user still owns the judgement. The AI can continue working, but the human must define the rubric, review the evidence, and decide whether the result is good enough.