Get the free Agentic AI Supervision Blueprint

When you design an agentic AI system, you're really designing TWO systems — the agent, and the human supervision wrapped around it. Almost everyone designs the first and lets the second rot. This free one-page-per-idea field guide (built from the video) shows you how to design both. THE FAILURE NOBODY MEASURES — based on a Forbes piece by Ravi Palwe (Capgemini), the "2:47 a.m. failure": at a top-10 U.S. bank an autonomous agent approved a $1.4M line of credit with no human in the loop; the decision was correct, but it was rolled back six weeks later because the supervisors had quietly stopped looking. Supervision decays on a schedule — careful in weeks 1-3, skimming under 15 seconds a case by week 10, clicking through by week 12. The override rate falls from ~8% to under 2%, and institutions misread it as "the agent improving" when the human is simply catching less. WHY IT'S PHYSICS, NOT LAZINESS — Raja Parasuraman's human-factors research: when automation is reliable, humans catch only ~30% of its errors; when it visibly stumbles, detection climbs back toward ~75%. Reliability breeds inattention — you can't train it away, so you design around it. THE 6-PRINCIPLE BLUEPRINT — (1) Workflow before agent: use the simplest thing that works; every drop of autonomy is supervision you must design for. (2) Autonomy in tiers, not a switch: gate authority by blast radius (full tier table included). (3) Instrument the human, not just the agent: track time-on-case, trace-expansion rate, and override trend — and treat a FALLING override rate as an alarm, not a trophy. (4) Engineer visible friction: plant known-bad cases, force the reasoning trace open on high-stakes calls. (5) Rotate the watchers every ~6 weeks (improved error-catch ~35% with zero change to the agent). (6) Close the override loop and name a human owner for every high-stakes decision BEFORE you ship. PLUS three ready-to-use tools: the autonomy-tier table, the supervisor-metrics mirror, and the 3 questions to ask about any agent you run this Monday (about half a day of work). The one-line takeaway: design the supervision like you design the agent — you don't just need to know what's running, you need to know who is still awake to watch it.

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