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Controlled A/B Evaluation of Prompts and Agent Skills

Quality, usefulness and confidence are AI evaluations out of 100 — not user ratings. Community results come from visitors' "worked / didn't work" votes below. How scoring works →

The prompt

Run a controlled evaluation of two prompts or agent skills. CANDIDATE A: [prompt/skill/version] CANDIDATE B: [prompt/skill/version] PRODUCTION TASKS: [at least 10 diverse examples] KNOWN EDGE CASES: [incomplete, conflicting and adversarial inputs] MODEL AND SETTINGS: [same for both] RUBRIC AND WEIGHTS: [correctness, evidence, actionability, format, safety, etc.] REPEATS PER TASK: [minimum 3] BUDGET AND LATENCY LIMITS: [limits] CRITICAL FAILURES: [hallucinated property facts, unsupported financial claims, privacy or compliance breach] Randomize order and blind the scorer to candidate identity. Record task-level scores, variance, latency, token use, cost and exact failure examples. Use deterministic checks for schema, required sections, citations and prohibited claims where possible. Treat any critical failure as a gate, not an averageable weakness. Report mean, median and variability by category; strongest and weakest task types; statistically cautious conclusions; recommended winner or no-decision; regressions; and the smallest next experiment needed. Preserve prompts, model versions and raw outputs for reproducibility.

Why this prompt

• Hand-picked, editorially reviewed prompt
• Written for ChatGPT, Claude, Gemini

Source

Created by BestPromptFinder — editorial prompt, not user-generated. See our content & source policy.

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