Synthetic Eval Dataset Generator
Turns your production logs (or a few seed examples) into a realistic, labeled eval dataset so you actually have test cases to run prompts against.
- Target market
- Indie devs and AI teams who want to start evaluating their LLM feature but have no labeled test data. Pairs naturally with an eval-in-CI tool.
Problem snapshot
What this solves
Everyone says write evals for your LLM app, but teams stall at step zero: they have no labeled dataset. Hand-writing 100 representative cases is tedious and biased toward the happy path, so most indies never build evals at all and keep shipping on vibes.
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