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

# Use Cases

> End-to-end tutorials for building responsible AI applications with RAIL Score.

Hands-on tutorials that walk through building real applications with responsible AI evaluation. Each use case includes working code and production best practices.

<CardGroup cols={1}>
  <Card title="Building a Responsible AI Chatbot" icon="message-bot" href="/use-cases/ai-chatbot">
    Build a customer support chatbot with automatic quality scoring, policy enforcement, multi-turn session tracking, and Langfuse observability. Uses OpenAI + Gemini with the RAIL Python SDK.
  </Card>

  <Card title="AI Chatbot: Production Features" icon="rocket" href="/use-cases/ai-chatbot-production">
    Part 2 - Provider wrappers, policy enforcement (block/regenerate), session tracking, and Langfuse observability.
  </Card>
</CardGroup>

<Tip>
  Want to see a specific use case? Reach out at [support@responsibleailabs.ai](mailto:support@responsibleailabs.ai) to suggest a topic.
</Tip>