TurfAI User Guide

Use this guide to learn what TurfAI does, how each module behaves, and how the platform is administered and deployed. It is written for the product team, so it gives the most complete picture. Start with the diagrams to get the big picture, then use the tables for detail.

How to read this guide

The guide is organised from concepts → modules → reference, so you can start anywhere:

• Concepts — the mental models. What agentic automation is, and when to use a workflow vs. an agent vs. a squad. Read this first if the vocabulary (RAG, HITL, ReAct, blackboard, governance) is new to you.
• Modules — one page per product module, all built from the same 9-section template (What it is · When to use it · How it works · Sub-features · Configuration · Dependencies · Limitations · How to test · APIs used). Because every page is structured identically, you can scan the same section across modules.
• Features — the capability surface at a glance, grouped by area.
• Node catalog — every task type you can drop on the canvas, by category, with its config parameters.
• Administration — ownership, RBAC, seeding, usage & analytics.
• Deployment — how TurfAI is run in production.

The platform at a glance

TurfAI is an enterprise workflow automation platform powered by agentic AI. Users build workflows on a visual canvas; each workflow is triggered (webhook, schedule, or event), runs a graph of tasks, agents, and squads, can pause for human review, and then acts on external systems — with governance (RBAC, audit, Data Shield) around the whole loop.