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Agentic workflows labelling
Full agent runs broken into steps and scored one at a time, so you can see which tool call or which decision sent a trajectory wrong instead of only that it failed.
What you get
Included in every engagement.
- Tool use and API call tagging
- Information retrieval steps
- Decision and evaluation points
- Action and execution outcomes
- Communication and response quality
- Trajectory scored end to end
How it works
Four steps from kickoff to steady state.
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Define the rubric
We agree what a good step looks like for each label class, before any scoring begins.
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Segment the run
Each trajectory is split into discrete steps that can be reviewed on their own.
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Score step by step
Reviewers label every step and flag the exact point where the run diverged from the goal.
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Roll up to the run
Step scores aggregate into a trajectory verdict with the failure point named, not inferred.
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