●─●─●AI ContextGraph::ai
Learn

How-to guides & demos

Short, scenario-based walkthroughs of the core ways to use ContextGraph::ai — from mapping your first domain to letting an AI agent reason and build over it.

Watch

Getting started

Getting started

Build your first architecture map and export it as AI context.

Coming soon

Reason & build with an agent

Share a diagram, connect MCP, and let an agent work on it.

Coming soon

Sync, share & publish

Your library across devices, public viewers, and AI Build extracts.

Guides

Core workflow

How to reason with your LLM

Design the base, Share it, connect the MCP server, then let your agent reason over the real architecture.

Read the guide →
Sample

ESP32-C3 Example

Download a ready-made component map of an ESP32-C3 driving a WS2812B rainbow, open it in the tool, and build it with PlatformIO.

Read the guide →
Share

Share a diagram — viewer + AI Build extract

Turn any diagram into a read-only link for people, a machine-readable extract for agents, and an MCP-visible diagram.

Read the guide →
Build

Build a system from your architecture

Tag what is live, build, and plan — then hand the structured export to a coding agent and let it implement against the real design.

Read the guide →
Setup

Setting up your MCP

Create your API key and connect the contextgraph MCP server — with config examples for Claude Code and other clients.

Read the guide →
Sync

Keep your library in sync across devices

Sign in and your whole library follows you to any browser — private until you choose to Share.

Read the guide →