TurfAI User GuideSources & credits
The external references whose foundational explanations and diagrams we adapted, with credit.
This guide is TurfAI's own. For the foundational explanations of widely-shared AI concepts — the agent loop, retrieval-augmented generation, multi-agent orchestration, tool use, and human-in-the-loop design — we've adapted framing and a few diagrams from the authoritative sources below, and credited them here and inline on each page. Everything specific to the TurfAI platform (its modules, features, configuration, and behavior) is original.
Where a concept goes deeper than the foundations, we link out to the original source rather than reproduce it — those vendors maintain the canonical, most current treatment.
What we adapted
| Borrowed | Source | Used as | Where |
|---|---|---|---|
| The "augmented LLM" building block | Anthropic — Building effective agents | Diagram + framing | What is agentic automation? |
| Orchestrator–workers pattern | Anthropic — Building effective agents | Diagram + framing | Workflows vs. agents vs. squads |
| Autonomous-agent loop | Anthropic — Building effective agents | Diagram + framing | Agents |
| The tool-calling loop | OpenAI — Function calling | Diagram + framing | Integrations |
| MCP as "a USB-C port for AI" | Model Context Protocol | Diagram + framing | Integrations |
| Grounding / retrieval with citations | Google — Gemini API grounding | Diagram + framing | RAG |
| Gating actions by reversibility & blast radius | Anthropic — Claude prompting best practices | Framing | Human-in-the-loop |
Diagrams are © their respective owners (Anthropic, OpenAI, Google) and are reproduced here for
educational reference with attribution. Trademarks belong to their owners. The machine-readable
record of every borrowed item lives in docs-sources.json at the repository root and is checked
for upstream changes via the docs-sync routine.