Per-agent tracking and evaluation tables for ROI reporting
Give every agent its own tracking and eval project with separate tables — job tracking, quality checks, eval scores, quality metrics, tool invocations and agent trajectory — recording query, response, model used, tokens burned, cost and quality dimensions from day one, so later aggregation across hundreds of agents produces executive ROI dashboards.
From AI Engineer — Paving the Road to Production: Governed Enterprise AI Agents — Harish Gaggar, Credit Karma at 19:48
Problem: Without per-run tracking from day one, nobody can later answer how agents performed, what quality they delivered, or what the ROI of building them was.
For: Organizations running large fleets of agents
Products from this video
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