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Overview
- Prompt engineering: techniques for writing/editing prompts to help Claude understand requests and respond as desired
- Prompt evaluation: automated testing of prompts to get objective metrics on effectiveness
Focus
- This section emphasizes prompt evaluation first, then prompt engineering techniques
Three Paths After Writing a Prompt
- Option 1 (trap): Test once or twice, decide it's good enough for production
- Option 2 (trap): Test with custom inputs, tweak for a few edge cases
- Option 3 (recommended): Run prompt through evaluation pipeline for objective performance score
Key Takeaway
- Options 1 and 2 are common pitfalls that engineers fall into
- Insufficient testing leads to prompts that don't work as expected
- Best practice: use evaluation pipeline to measure performance, then iterate to optimize the prompt
Takeaways
- Prompt engineering involves writing/editing prompts to help Claude understand requests; prompt evaluation uses automated testing for objective effectiveness metrics
- Testing a prompt once or twice, or tweaking for a few edge cases, are common pitfalls that lead to poor production performance
- Best practice is to run prompts through an evaluation pipeline to measure performance objectively, then iterate to optimize
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