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Observation gives you the raw run history. The next problem is deciding where to spend attention. Most agent teams cannot review every trace. Many runs repeat behavior already covered by earlier annotations. Many failures are obvious. The valuable cases are the ones that reveal a missing capability, a weak instruction, or domain knowledge the agent lacks. Sovara’s annotation workflow is built for that middle step. It surfaces runs worth reviewing, explains why they may matter, and keeps samples that are already covered by previously annotated runs out of the way. To see how we’re doing that, read up on our Recommendation Algorithm. For more details, see Why annotate?