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.

Showing 156-160 of 281 articles.

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.

Engineering

MCP Spotlight: Cloudflare API MCP Server — 2 Tools, 2,500+ Endpoints, One Search-and-Execute Pattern

Jun 23, 2026Engineering

MCP Spotlight: Cloudflare API MCP Server — 2 Tools, 2,500+ Endpoints, One Search-and-Execute Pattern

Cloudflare's official MCP server exposes 2,500+ API endpoints through exactly 2 tools (search + execute) — the cleanest API-as-MCP-via-search pattern in the ecosystem. Covers DNS, Workers, KV, R2, D1, Pages, WAF, AI Gateway, Vectorize, Zero Trust, and every other Cloudflare product.

Product

How Facio Handles Malformed Input: The Validation Discipline That Keeps AI Agents Production-Ready

Jun 23, 2026Product

How Facio Handles Malformed Input: The Validation Discipline That Keeps AI Agents Production-Ready

An AI agent that crashes on malformed input is a prototype. A production agent handles bad data gracefully — validates, sanitizes, requests clarification, or rejects with clear errors. Facio's input validation discipline gives agents the structural patterns for handling the messy reality of production inputs: missing fields, wrong types, oversize payloads, prompt injection attempts, and ambiguous user requests. Here's how validation works and why it's a non-negotiable for shipping agents.

Security

AI Agent Runtime Guardrails: Why Policy at the Model Layer Fails and Policy at the Execution Layer Wins

Jun 23, 2026Security

AI Agent Runtime Guardrails: Why Policy at the Model Layer Fails and Policy at the Execution Layer Wins

Static system prompts are advisory, not architectural. LLM guardrails operate at the same abstraction as the attack. The only deterministic defense is policy at the execution layer — where tool calls become real actions against real resources, with sub-millisecond evaluation.

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.