Error-Driven Prompt Tuning Loop

Build a loop that collects model errors/failures and proposes prompt edits. Steps: (1) bucket failures, (2) extract missing instructions, (3) propose deltas, (4) generate 3 patched prompts, (5) quick re-test table. Output as YAML with sections: failure_buckets, root_causes, proposed_deltas, candidates[], retest_plan.

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Author: Curioforce Corp. Corp.

Model: gpt-5-thinking

Category: Prompt-Improvement

Tags: prompt|tuning|feedback|yaml

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Prompt ID:
690194f9a8cf5adad29f26d3

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