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Community challenge: golf this prompt to the fewest tokens without losing behavior
Prompt golf challenge. Here's a working prompt that reliably does task: original_prompt. The goal: rewrite it to use meaningfully fewer tokens while producing behaviorally identical outputs on the test cases below, not just similar-looking outputs. Rules:
1. Every cut must be justified: state which word/phrase you removed and why you believe the model doesn't need it explicitly stated (either because it's implied by something else in the prompt, or because it's default model behavior anyway).
2. Run (or reason through) the golfed version against each of the provided test inputs and compare to the original's known-good output for that input; if any output would differ in a way that matters, that cut failed, revert it and try a different cut instead.
3. Report the final token count reduction as a percentage, and the number of cuts that failed verification and were reverted, so the process is honest about what didn't work, not just the survivors.
4. If you hit a floor where further cuts start failing verification, stop there and report that as the practical minimum for this specific test set, rather than continuing to guess.
Original prompt: original_prompt
Test inputs with known-good outputs: test_cases