Day 37: Where human review actually belongs in AI workflows
Why human review needs timing, authority, and context to be useful.

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Series
A practical series on making agentic systems controllable. It covers where human review belongs, how guardrails enable safe action, why agents need recovery and budgets, when multi-agent systems actually help, and where supervisor agents help or bottleneck.
Why human review needs timing, authority, and context to be useful.

Why guardrails should shape safe progress, not just block uncertain behavior.

Why retries, fallbacks, checkpoints, rollback, and escalation belong in the first design.

Why autonomous systems need limits on cost, time, actions, retries, and risk.

Why multi-agent systems should reduce complexity through specialization, not add agents for novelty.

Why supervisor agents help only when routing, review, and authority are clear.
