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Metrics

Score the project against a small hand-labelled gold set and see every model call: the developer view of how the AI behaves.

Where Sidebar → Metrics

The Measurements page: the latest score with met and missed targets, the results table and the list of model calls.

What you see

  1. ScoreHow many targets the latest run met, a bar with one mark per target, when it ran and which gold set it used.
  2. Latest runEach measure with its target, what was measured and Met, Missed or Info.
  3. Earlier runsPast runs with their met and missed counts.
  4. Model callsEvery call to the model: time, purpose, model id and prompt version (for provenance), inputs, result and latency. Prompts, keys and full documents are not stored.

Run the evaluation

  1. Load Broken Tide or The Ashbell Pass into a project of its own (the evaluation scores those samples and the Sherlock Holmes sample; the Oz books and Alice have none).
  2. Review candidates, scan conflicts and decide them as you would normally.
  3. On Metrics, choose Run evaluation.
  4. Read the score and the Latest run table; it scores the data as it is now.

What the score means

The gold set is small and hand-labelled. It checks that the system behaves as designed on the sample story; it is not evidence of real-world accuracy. In a project without a gold set the page says there is nothing to measure and links to Open projects.

Who can do what

Viewer
Read the scores and the model calls.
Editor, admin, owner
Also Run evaluation.

Roles are per studio. Roles and permissions has the full list.