Human-in-the-loop means keeping humans strategically involved in AI agent work rather than removing them entirely. The goal is meaningful oversight: humans review, redirect, and decide at key moments without becoming a bottleneck that slows everything down.
The risk on both sides is real. Too little human involvement and agents drift, make poor judgment calls, or act on outdated context. Too much and you recreate the approval layers that agents were meant to eliminate.
Nestr provides natural checkpoints through tactical and governance meetings where humans review agent output, surface tensions, and adjust priorities. The circle feed keeps agent activity visible, and governance proposals let teams reshape agent boundaries as they learn what works.