OpenAI: give GPT-6 Astra leaner prompts, fewer guardrails

OpenAI's Eric Provencher advises that overly long skill descriptions, blanket reading requirements, and rigid approval rules can hinder GPT-6 Astra's performance. He recommends tying instructions to specific tasks and clearly stating when a job is complete, since more capable models need less hand-holding.

Why it matters: This is a practical signal that prompt-engineering and agent-scaffolding best practices are shifting as models get more capable; patterns that worked to constrain earlier, less reliable models may now be actively counterproductive.