Use Case
Agent Reliability
Agents fail where it matters: planning, tools, ambiguity.
Common failures
- Planning failures in 10+ step task chains that benchmarks never test
- Tool calls that return correct formats but wrong results, silently
- Ambiguous user instructions that expose hardcoded fallback behavior
BakeLens maps the failure surface
01
Trace every planning decision, tool call, and recovery attempt across full task runs
02
Rank failure modes by frequency × production severity, not just error rate
03
Compare failure distributions across agent versions, prompts, and model swaps
Proof delivers targeted training data
01
Expert-labeled multi-turn interactions covering the exact failure modes diagnosed
02
Verified tool-use sequences with correct intermediate states
03
Adversarial edge cases designed around your agent's specific weak points
Deliverables
Failure mode report
Prioritized list of failure modes with traces, frequency, and severity scores
Targeted training data
Expert-labeled datasets built against diagnosed gaps, not generic benchmarks
Regression eval suite
Evaluation set that catches the failures you fixed, so they don't come back