# AI Architect Overview ## TL;DR AI architect is a visual blueprinting tool for designing secure apps and workflows. It interprets nodes, data flows, and agent relationships, then produces a prompt, which when run through an LLM, generates Dart/Flutter projects, atPlatform boilerplate, namespaces, key conventions, and multi‑agent patterns automatically.\ \ The tool enforces best practices from the atPlatform SDKs, including secure data storage, encrypted communication, and backend‑less architecture. Developers can iterate quickly by updating diagrams and regenerating code, ensuring consistency across teams and environments. AI Architect accelerates prototyping, reduces integration errors, and provides a repeatable, standards‑driven workflow for building distributed, privacy‑preserving applications. {% embed url="" %} For a deeper look at how AI Architect interprets your diagrams, see the [Nodes and Connections](/ai-architect/ai-architect-overview/nodes-and-connections.md) guide, which explains how components and data flows are defined in the canvas and how they map into the generated LLM prompt. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.atsign.com/ai-architect/ai-architect-overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.