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 51-55 of 78 articles in Product.

Product

Facio's Self-Healing Agents: How Error Detection, Diagnosis, and Recovery Run as a Continuous Loop

Jun 17, 2026Product

Facio's Self-Healing Agents: How Error Detection, Diagnosis, and Recovery Run as a Continuous Loop

AI agents that fail in production are a fact of life. The question isn't whether your agent will encounter an error — it's what happens after. Facio's self-healing architecture turns failures into recovery actions through a continuous detection-diagnosis-recovery loop. The agent detects, classifies, and resolves issues without human intervention for routine cases, and escalates intelligently when it can't. Here's how the loop works.

Product

Facio's Two-Layer Memory: How Passive Context and Active Recall Give AI Agents Institutional Knowledge

Jun 16, 2026Product

Facio's Two-Layer Memory: How Passive Context and Active Recall Give AI Agents Institutional Knowledge

AI agents with no memory are amnesiacs — they start every session knowing nothing about the user, the project, or the prior work. Facio's two-layer memory architecture combines passive context (always loaded) with active recall (query-based search) to give agents institutional knowledge that grows over time. Here's how the layers work, what each is good for, and why the combination beats either approach alone.

Product

Facio's Iteration Budget: How Bounded Reasoning Stops AI Agents From Spiraling Into Costly Loops

Jun 15, 2026Product

Facio's Iteration Budget: How Bounded Reasoning Stops AI Agents From Spiraling Into Costly Loops

An AI agent without a budget is a financial accident waiting to happen. A clever agent that gets stuck in a retry loop, asks the same question 200 times, or follows a confused thread of reasoning for hours can burn thousands of dollars in tokens before a human notices. Facio's iteration budget is a runtime-enforced bound on reasoning length — the architectural pressure that turns "keep trying forever" into "be efficient and escalate when stuck." Here's how bounded reasoning works and why it matters.

Product

Why Facio Is Built in the EU: How DSGVO-Native Architecture Removes Compliance Friction From AI Agents

Jun 14, 2026Product

Why Facio Is Built in the EU: How DSGVO-Native Architecture Removes Compliance Friction From AI Agents

Most AI agent platforms route customer data through US-hosted infrastructure by default. For European businesses, that's a compliance incident waiting to happen. Facio is built in the EU, for the EU, and the architecture is DSGVO-native from the ground up — data residency, processing boundaries, audit trails, and HITL gating all designed around European data protection requirements. Here's what DSGVO-native actually means and why it matters for production agents.

Product

From Prototype to Production: Facio's Readiness Checklist for AI Agents That Actually Ship

Jun 13, 2026Product

From Prototype to Production: Facio's Readiness Checklist for AI Agents That Actually Ship

A working AI agent prototype is not a production AI agent. The gap between "it works on my machine" and "it works in production for 247 enterprise customers" is where most agent projects die. Facio's architecture is built around a production readiness checklist — the six pillars that turn a clever demo into a reliable system. Here's what they are, why they matter, and how Facio addresses each.