# VH3 AI

## Docs

- [AGENTS.md](https://docs.vh3.ai/agent-kits/agents-md.md): A drop-in context file that makes AI coding agents (Cursor, Claude Code, GitHub Copilot) fluent in the VH3 API — correct endpoints, field names, and routing logic
- [Claude.ai Projects](https://docs.vh3.ai/agent-kits/claude-projects.md): Project instructions for non-technical users — paste once into a Claude.ai Project and operations managers can query VH3 in plain English
- [Cursor Rules](https://docs.vh3.ai/agent-kits/cursor-rules.md): Drop-in .cursor/rules/ files that make Cursor's code generation VH3-aware — correct field names, proper error handling, n8n workflow conventions
- [MCP Server](https://docs.vh3.ai/agent-kits/mcp-setup.md): Connect any MCP-compatible AI client — Claude Desktop, Cursor, custom agents — directly to the VH3 intelligence layer
- [n8n Agent Prompts](https://docs.vh3.ai/agent-kits/n8n-agents.md): System prompts and tool definitions for n8n AI Agent nodes that call the VH3 API as HTTP tools
- [Agent Starter Kits](https://docs.vh3.ai/agent-kits/overview.md): Ready-to-use configurations for connecting AI agents and coding assistants to the VH3 intelligence layer
- [Briefings](https://docs.vh3.ai/api-reference/briefings.md): Pre-visit engineer briefings with full operational context
- [Cases](https://docs.vh3.ai/api-reference/cases.md): Case management for multi-step operational workflows
- [Connie](https://docs.vh3.ai/api-reference/connie.md): Conversational AI assistant with full operational context
- [Contacts](https://docs.vh3.ai/api-reference/contacts.md): Contact feed and detail lookup
- [Jobs](https://docs.vh3.ai/api-reference/jobs.md): Job feed and job details
- [API Reference](https://docs.vh3.ai/api-reference/overview.md): Overview of the VH3 AI API surface
- [Reports](https://docs.vh3.ai/api-reference/reports.md): Automated operational reporting
- [Search](https://docs.vh3.ai/api-reference/search.md): Semantic and keyword search across your operational history
- [Sentinels](https://docs.vh3.ai/api-reference/sentinels.md): Proactive operational and growth opportunity monitoring
- [Teams](https://docs.vh3.ai/api-reference/teams.md): Team management, membership, and entity scoping
- [User Authentication (JWT)](https://docs.vh3.ai/api-reference/user-auth.md): Per-user login and JWT session management for interactive applications built on VH3
- [Users](https://docs.vh3.ai/api-reference/users.md): User management — list, invite, update roles, and remove users from your company
- [Authentication](https://docs.vh3.ai/authentication.md): How to authenticate with the VH3 AI API — tenant credentials for server-to-server, and per-user JWT for interactive applications
- [Connie](https://docs.vh3.ai/guides/connie.md): Getting the most from the conversational AI assistant
- [Reports](https://docs.vh3.ai/guides/reports.md): Automated operational reporting
- [Semantic Search](https://docs.vh3.ai/guides/semantic-search.md): How to get the most from VH3 AI's hybrid search engine
- [Sentinels](https://docs.vh3.ai/guides/sentinels.md): Understanding and configuring proactive monitoring
- [The Intelligence Layer](https://docs.vh3.ai/intelligence-layer.md): Four memory primitives, one operational picture — why VH3 AI is a synthesis layer, not a retrieval tool
- [Introduction](https://docs.vh3.ai/introduction.md): The AI infrastructure layer for field service organisations
- [n8n Community Node](https://docs.vh3.ai/n8n-node.md): Automate field service intelligence with the official VH3 AI n8n node
- [Native Integrations](https://docs.vh3.ai/native-integrations.md): Connect the tools your business already uses — no middleware, no developer involvement
- [Quickstart](https://docs.vh3.ai/quickstart.md): Make your first API call to VH3 AI in under 5 minutes

## OpenAPI Specs

- [openapi](https://docs.vh3.ai/openapi.json)

## Optional

- [Status](https://status.vh3.ai)