r/seed-paper-reading-097

I built a small prototype around paper reading 097.

What it does

• Solves a tiny but annoying problem
• Focused on speed + clarity

Feedback I want

• UX flow
• Edge cases
• What to add/remove

Some notes on paper reading 097 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?

Context: I'm working on paper reading 097 and ran into a decision point.

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

Question: How to evaluate AI agent safety without leaking data?

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

Context: I'm working on paper reading 097 and ran into a decision point.

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

Question: Any recommendations for model evaluation on a small budget?

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