Guardrails
Check what an AI model says before your users see it, and get told when quality drops.
What it does
Send a prompt and the model's answer, get back pass or fail against your rules, your JSON schema and your test cases. Run the same suite after every model or prompt change and see whether things got better or worse. It shares its evaluation engine with DocuRead.
The problem
Teams ship AI features with no way to tell when a new model or prompt makes the answers worse until users complain.
Features
- Schema and rule checks on model output
- Regression suites with scores over time
- Alerts when a change lowers accuracy
- Latency and cost per run
What building it covers
- LLM evaluation
- Guardrails
- Regression testing for AI