I Built a Prompt Scoring Engine — Here's What 100,000 Prompts Taught Me
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When I started building a prompt scoring engine, I expected the results to be noisy. Prompt quality is subjective, right? What counts as "good" depends on the use case. I was wrong. After scoring over 100,000 prompts across dozens of categories — code generation, content writing, data analysis, creative work — the same five failure patterns appeared over and over again . Not occasionally. In roughly 85% of low-scoring prompts. This article breaks down what those patterns are, how the scoring…
1Key Takeaways
- When I started building a prompt scoring engine, I expected the results to be noisy.
- Prompt quality is subjective, right?
- What counts as "good" depends on the use case.
- After scoring over 100,000 prompts across dozens of categories — code generation, content writing, data analysis, creative work — the same five failure patterns appeared over and over again .
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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 when I started building a prompt scoring engine, I expected the results to be noisy.
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