Facio Blog
Payload-powered product notes, security writing, HITL patterns, and operational guidance from the Facio runtime: long sessions, Placet approvals, audit trails, memory, providers, channels, tools, and Docker-first operations.
Showing 6-10 of 17 articles in Human-in-the-loop.
Human-in-the-loop
Putting HITL approval rules in code creates rigid, slow-to-change systems. Putting them in prompts creates unreliable, bypassable suggestions. The right place is declarative, version-controlled configuration — a policy manifest the agent runtime enforces deterministically.
Human-in-the-loop
Every HITL system eventually hits the same operational question: the reviewer didn't respond. Does the agent wait forever? Auto-approve? Auto-deny? The answer isn't a setting — it's a timeout strategy with consequences for safety, throughput, and compliance.
Human-in-the-loop
Every human approve, modify, or reject decision in your HITL pipeline is a labeled training data point. Most teams treat HITL as a safety mechanism and miss its bigger value: a continuous learning engine that makes agents smarter with every human interaction.
Human-in-the-loop
Binary HITL — approve everything or approve nothing — is a bottleneck dressed up as safety. Graduated autonomy lets agents earn independence through demonstrated performance, with promotion and demotion governed by data, not calendar dates.
Human-in-the-loop
When every agent action hits a human review queue, reviewers stop reviewing and start rubber-stamping. Approval fatigue is the silent failure mode of HITL systems — here's why it happens and how to architect against it.