Use case - Engineering, PM
Discover, Fix & Track
Accuracy Problems
Investigate AI traces at scale to surface the important signals and accuracy problems. Track overall accuracy across the project: Tracked problems, Human Score, AI Judge Score, and Judge–Human Alignment.
Discovered across your traces
Patterns found
Accuracy across the project
Tracked finding Ignored retrieval 3 new traces in the last hour.
Accuracy & tracking
Track your accuracy across the whole project.
Your overall accuracy rolls up into three scores, and you can pin any pattern to watch it over time.
Tracking
Pin the patterns that matter, and check new traces for regression. Get a Slack alert when one shows up again.
Human Score
Check how your AI does according to human reviewers.
AI Judge Score
See how your AI does according to calibrated judges.
Judge-Human Alignment
Check how much your judges and reviewers agree on the same traces.
How Findings helps
From thousands of traces to the ones worth acting on.
Behind a simple search box, Findings is a multi-stage analysis system, not a single model pass. It surfaces real issues with over 82% accuracy.
Discovery
Describe in plain language what to look for. Findings scans your traces, a sample or all of them, at the model quality you pick, and groups related ones into findings, including patterns you never mentioned.
Diagnose
The built-in Copilot digs into any single trace with full context: the trace, the rubrics that apply, past reviews, and its journey. Ask what the model got wrong, or whether the answer matches the query.
Send for reviews
Browse the traces underneath and send any set to human review, an evaluation dataset for your judges, or a seed dataset for generation.
What you can find
Known patterns, unknown signals, and everything between.
Reliability
- Hallucinations
- Incomplete answers
- Ignored retrieval context
- Failed tool executions
- Broken workflows
Efficiency
- Expensive traces
- Slow traces
- Redundant tool calls
- Inefficient workflows
- Retrieval duplicates
Agent systems
- Looping agents
- Coordination failures
- Planner failures
- Routing mistakes
- Stuck workflows
- Agents ignoring instructions
- Agents inventing tools
Safety
- Prompt injection attempts
- Secret leakage
- Unsafe outputs
- Policy violations
Discovery
- Anomalies
- Regressions
- Suspicious traces
- Unknown issue patterns
Your own
- Describe anything in plain language. DataFramer finds traces that match, even patterns not in the library.
Stop finding out from your users.
Start finding accuracy failures in your existing traces today. Free, no card required.