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 235 articles.

Product

Facio's Web Research Stack: How web_search and web_fetch Turn AI Agents Into Live Research Engines

Jun 9, 2026Product

Facio's Web Research Stack: How web_search and web_fetch Turn AI Agents Into Live Research Engines

AI agents with training data cutoffs are answering questions about a world that has moved on. Facio's web_search and web_fetch tools give agents direct access to the live web — search for sources, fetch the actual content, extract what's relevant, and reason over it. Combined with the search-reason loop, agents can run production-grade research workflows that match what humans do with browser tabs.

Human-in-the-loop

When AI Agents Talk to Customers: The HITL Architecture Behind Refunds, Cancellations, and Account Changes

When AI Agents Talk to Customers: The HITL Architecture Behind Refunds, Cancellations, and Account Changes

A customer-service AI agent just approved a $50,000 refund — to a fraudulent account. The CFO wants answers. Here is the four-tier HITL architecture that lets customer-facing agents move at conversational speed for routine cases and force a synchronous human checkpoint for everything that can hurt the business.

Product

Facio's Notebook Editing: How AI Agents Read and Modify Jupyter Notebooks at the Cell Level

Jun 8, 2026Product

Facio's Notebook Editing: How AI Agents Read and Modify Jupyter Notebooks at the Cell Level

Jupyter notebooks are a mess for AI agents. The JSON structure obscures the actual code, cells are interleaved with outputs and metadata, and most agents treat the whole notebook as opaque text. Facio's notebook_edit tool works at the cell level — read, replace, insert, and delete individual code and markdown cells with surgical precision. Here's why notebook-aware editing matters for data science agents.