How to audit production prompts for over-instruction and rebaseline them for GPT-5.5
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How to audit production prompts for over-instruction and rebaseline them for GPT-5.5 A developer's guide to cleaning up legacy prompt libraries for GPT-5.5 Instant without breaking reasoning-mode workflows. TL;DR: Audit every prompt for sequential instructions that GPT-5.5 Instant penalizes, A/B test rebaselined outcome-first versions using a context-sandwich format, and lock in cleaner prompts with CI guardrails. Keep explicit step-by-step logic only for reasoning-mode endpoints where it still…
1Key Takeaways
- How to audit production prompts for over-instruction and rebaseline them for GPT-5.5 A developer's guide to cleaning up legacy prompt libraries for GPT-5.5 Instant without breaking reasoning-mode workflows.
- TL;DR: Audit every prompt for sequential instructions that GPT-5.5 Instant penalizes, A/B test rebaselined outcome-first versions using a context-sandwich format, and lock in cleaner prompts with CI guardrails.
- Keep explicit step-by-step logic only for reasoning-mode endpoints where it still….
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that how to audit production prompts for over-instruction and rebaseline them for GPT-5.5 A developer's guide to cleaning up legacy prompt libraries for GPT-5.5 Instant without breaking reasoning-mode workflows.
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