Every project
Failure Forensics
Observability that tells you which step of a multi-step AI pipeline actually broke.
What it does
Debugging chained LLM calls means walking backwards from a bad output. Decorator-based span tracing records every step, then parallel LLM judges scan the trace backwards and pin the first point of corruption. Findings feed back into the eval set through an atomic feedback loop.