GPT-6 Astra needs leaner prompts and fewer guardrails, OpenAI recommends
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OpenAI recommends that developers use leaner prompts and fewer guardrails when working with GPT-6 Astra, according to Eric Provencher. Overly long skill descriptions, blanket reading requirements, and rigid approval rules can consume context or cause the model to stop work too early. Provencher advises reviewing skills, AGENTS.md files, and task prompts whenever switching models, since more capable models need less hand-holding. Skill descriptions should be short and precise, and skills covering multiple workflows should briefly point to supplementary docs and scripts so the model reads only what it needs. AGENTS.md rules should be reviewed regularly, with architecture, database, and deployment docs cited selectively rather than requiring a full project overview before every change. Explicit permissions can reduce repeated confirmation requests for safe local tests using throwaway data, and teams should revisit strict approval rules when moving to Astra. Provencher also says developers should define upfront what 'done' means, because Astra may otherwise stop earlier than GPT-5.6 Sol. These recommendations build on OpenAI's recently published prompting tips for GPT-6 Astra.
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