Facio Blog

Practical notes on human-reviewed AI agents.

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.

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Showing 41-45 of 73 articles in Human-in-the-loop.

Human-in-the-loop

HITL and Model Versioning: How Approval Patterns Change When the LLM Changes

Jun 28, 2026Human-in-the-loop

HITL and Model Versioning: How Approval Patterns Change When the LLM Changes

You upgraded the LLM from claude-opus-4-7 to the next generation. The HITL override rate spiked from 4% to 12% overnight. The same reviewer pool is rejecting 3× more actions. The same policy is firing 5× more synchronous reviews. Model upgrades don't just affect outputs — they affect the entire HITL calibration. Here's how to manage the version transition.

Human-in-the-loop

The HITL Executive Briefing: How to Explain Human Oversight to Compliance, Security, and Legal

Jun 24, 2026Human-in-the-loop

The HITL Executive Briefing: How to Explain Human Oversight to Compliance, Security, and Legal

You're shipping an AI agent to production in a regulated industry. The compliance team is asking how HITL works. The security team is asking how to audit it. The legal team is asking who is liable. This is the executive briefing document that answers all three — and survives scrutiny from all three.

Human-in-the-loop

HITL Queue Design: The Backpressure That Keeps Human Review Humanly Possible

Jun 23, 2026Human-in-the-loop

HITL Queue Design: The Backpressure That Keeps Human Review Humanly Possible

The HITL queue is the silent infrastructure that determines whether oversight works or collapses. Most teams build approval flows and forget the queue design — until volume exceeds capacity and the system either stalls or silently rubber-stamps. Here's the queue architecture that keeps HITL sustainable at scale.