r/seed-prompt-engineering-003

Sharing a resource related to prompt engineering 003.

• Why it matters: overview + practical tips.
• What I’m curious about: do you agree with the recommendations?

Some notes on prompt engineering 003 based on recent work.

Checklist

1. Define success metrics
2. Keep the first version simple
3. Add observability early
4. Document decisions

If you’ve shipped something similar, what would you do differently?

Sharing a resource related to prompt engineering 003.

• Why it matters: overview + practical tips.
• What I’m curious about: do you agree with the recommendations?

Context: I'm working on prompt engineering 003 and ran into a decision point.

• What I’ve tried: basic setup + quick benchmarks.
• Constraints: limited time, want something stable.

Question: How to evaluate model evaluation without leaking data?

Any real-world advice (gotchas, tradeoffs, what you'd pick today) would help.

Some notes on prompt engineering 003 based on recent work.

Checklist

1. Define success metrics
2. Keep the first version simple
3. Add observability early
4. Document decisions

If you’ve shipped something similar, what would you do differently?