> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agentictrust.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Agentic Trust is an AI-powered customer support platform that lets you deploy intelligent chat agents on your website in minutes.

Agentic Trust gives your customers instant, accurate answers by combining a knowledge base, custom actions, workflows, and identity verification into a single embeddable widget.

<CardGroup cols={2}>
  <Card title="Knowledge Base" icon="book" href="/features/knowledge-base">
    Upload PDFs, docs, CSVs, or crawl your website. The RAG pipeline retrieves relevant context so the agent answers from your content.
  </Card>

  <Card title="Custom Actions" icon="bolt" href="/features/custom-actions">
    Connect any API with OpenAPI specs, manual configuration, or MCP tools. The agent can take actions on behalf of users.
  </Card>

  <Card title="Workflows" icon="route" href="/features/workflows">
    Define specialized behaviors for common scenarios like refunds, onboarding, or troubleshooting.
  </Card>

  <Card title="Identity Verification" icon="shield-check" href="/features/identity">
    Verify end users with HMAC signatures or JWT tokens so the agent can access personalized data securely.
  </Card>

  <Card title="Widget Integration" icon="code" href="/widget/installation">
    Install [`@agentictrust/ui`](https://www.npmjs.com/package/@agentictrust/ui) for React/Next.js, or drop a script tag into your site. Configure appearance, register client-side tools, and control the widget programmatically.
  </Card>

  <Card title="Analytics" icon="chart-line" href="/features/analytics">
    Monitor conversations, collect feedback, and track resolution rates from the dashboard.
  </Card>
</CardGroup>

## How it works

1. **Configure your agent** in the dashboard — set a system prompt, choose a model, and upload knowledge sources.
2. **Embed the widget** on your site with the [`@agentictrust/ui`](https://www.npmjs.com/package/@agentictrust/ui) React SDK or a single script tag.
3. **Users ask questions** and the agent streams answers using your knowledge base, actions, and workflows.
4. **Monitor and improve** through the activity feed, feedback ratings, and conversation history.

## Architecture overview

Agentic Trust runs as a Next.js application backed by PostgreSQL with pgvector. Chat requests are routed to a Cloudflare Worker that hosts a Durable Object per conversation, with MCP tool servers for knowledge retrieval, custom actions, and workflow execution.

| Component       | Technology                                                   |
| --------------- | ------------------------------------------------------------ |
| Dashboard & API | Next.js (App Router), React, Tailwind CSS                    |
| Database        | PostgreSQL + pgvector (Drizzle ORM)                          |
| Auth            | WorkOS AuthKit (dashboard), API keys (widget)                |
| AI Models       | Claude Sonnet 4.6, Haiku 4.5, GPT-5.2, Gemini, and more      |
| Embeddings      | OpenAI `text-embedding-3-small` (1536 dimensions)            |
| Agent Runtime   | Cloudflare Worker + Durable Object (one DO per conversation) |

## Next steps

<CardGroup cols={2}>
  <Card title="Quickstart" icon="rocket" href="/quickstart">
    Get your first agent running in under 5 minutes.
  </Card>

  <Card title="API Reference" icon="square-terminal" href="/api-reference">
    Explore the full runtime API with interactive examples.
  </Card>
</CardGroup>