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Workflow Telemetry for AI Operations That Need Measurable Control

This story is from 2026-10-27. It is preserved in the archive; the latest stories are on the live feed.

AI operations become controllable when every workflow emits a small set of decision-grade signals: start time, completion time, model cost, approval state, failure reason, and recovery path. A dashboard without these signals is activity theater, not operational control. Measure the workflow, not th…

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  1. 2026-10-27 00:04 · DEV Community — AI
    Workflow Telemetry for AI Operations That Need Measurable Control

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