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 46-50 of 78 articles in 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.

Product

Facio's Incident Response Playbook: How AI Agents Detect, Triage, and Mitigate Production Issues Autonomously

Jun 22, 2026Product

Facio's Incident Response Playbook: How AI Agents Detect, Triage, and Mitigate Production Issues Autonomously

Production AI agents need an incident response playbook — a structured way to detect issues, triage severity, mitigate damage, and escalate intelligently when human judgment is required. Facio's runtime provides the building blocks: heartbeat-driven monitoring, structured error responses, log queries, HITL escalation, and checkmarked state recovery. Combined, they let agents handle routine incidents autonomously and bring humans into the loop at exactly the right moment. Here's the playbook.

Product

Facio's Checkpoint Discipline: How Periodic State Snapshots Let AI Agents Resume After Crashes and Budget Exhaustion

Jun 20, 2026Product

Facio's Checkpoint Discipline: How Periodic State Snapshots Let AI Agents Resume After Crashes and Budget Exhaustion

An AI agent that loses its work to a crash, an exhausted budget, or a network failure is starting over from scratch. The hours of research, the partially-completed deployment, the half-written report — all gone. Facio's checkpoint discipline turns sessions into resumable workflows through periodic state snapshots persisted to the workspace. Here's how checkpoints work, when the agent takes them, and why checkpoint-aware agents finish work that checkpoint-blind agents abandon.

Product

How Facio Picks the Right Tool for the Job: The Decision Framework Behind Tool Selection in AI Agents

Jun 19, 2026Product

How Facio Picks the Right Tool for the Job: The Decision Framework Behind Tool Selection in AI Agents

A Facio agent has 25+ native tools plus dynamic MCP extensions. Picking the wrong tool for the task is one of the most common failure modes — agents waste iterations, produce wrong results, or trigger unnecessary HITL gates because they reached for the wrong primitive. Facio's tool selection framework turns tool choice into a decision the agent reasons about explicitly. Here's how the framework works and why tool selection is a learnable skill.

Product

Facio's Reflection Process: How Periodic Memory Curation Keeps AI Agents Honest at Scale

Jun 18, 2026Product

Facio's Reflection Process: How Periodic Memory Curation Keeps AI Agents Honest at Scale

Memory that grows without curation becomes noise. Facts accumulate, contradictions pile up, stale entries linger, and the agent's passive context fills with information that no longer matters. Facio's Reflection process is the periodic curator that keeps MEMORY.md honest — identifying staleness, resolving contradictions, consolidating patterns, and pruning noise. Here's how the curator works and why automated memory hygiene is a non-negotiable for production agents.