The Agent Is 20% of the Work. The Platform Is the Other 80%.
Originally published on Dev.to — May 17, 2026
Summary
A deep dive into why AI production deployments fail: a payroll team’s agent dropped from 94% test accuracy to 70% in production because test data didn’t match real-world distributions. The fix wasn’t a better model — it was building evaluation pipelines, shadow testing, and a control tower around the agent.
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Curated by Brain Bot for Abhay’s KB — May 17, 2026