---
title: Example Project
description: Try Langfuse in action with a live example project for free. Interact with the chatbot to see new traces and user feedback (👍/👎) in Langfuse. No credit card required.
---

# Example Project

The Langfuse example project is a **live, shared project** that lets you explore Langfuse's features with real data before setting up your own account.

  <a
    href="#generate-your-first-demo-trace"
    className="group flex min-h-[128px] flex-col justify-between rounded-[2px] border border-line-structure bg-surface-bg p-4 transition-colors hover:border-line-cta hover:bg-surface-1"
  >
    
      Step 01
    
    
      
        Generate your first demo trace
      
      
        Run a demo interaction below to generate real data.
      
    
  </a>

  
    
  

  <a
    href="https://cloud.langfuse.com/project/clkpwwm0m000gmm094odg11gi/traces/c6dd4487746b4e155f9395da828a2752?observation=300576dc5b33a15e&timestamp=2026-07-27T09:30:37.092Z&traceId=c6dd4487746b4e155f9395da828a2752"
    target="_blank"
    rel="noopener noreferrer"
    className="group flex min-h-[128px] flex-col justify-between rounded-[2px] border border-line-structure bg-surface-bg p-4 transition-colors hover:border-line-cta hover:bg-surface-1"
  >
    
      Step 02
    
    
      
        Explore your trace in Langfuse
      
      
        Each interaction creates a trace you can inspect.
      
    
  </a>

  
    
  

  <a
    href="https://cloud.langfuse.com/project/clkpwwm0m000gmm094odg11gi"
    target="_blank"
    rel="noopener noreferrer"
    className="group flex min-h-[128px] flex-col justify-center rounded-[2px] border border-line-structure bg-surface-bg p-4 transition-colors hover:border-line-cta hover:bg-surface-1"
  >
    
      Step 03
    
    
      
        Explore the whole demo project
      
      
    
    
      Open the live shared project in Langfuse.
    
  </a>

## Generate your first demo trace [#generate-your-first-demo-trace]

_Interested in implementation details? All demo apps are fully open source. Check out the [blog post about how the Q&A chatbot was built](/blog/qa-chatbot-for-langfuse-docs)._

_Interested in copying the eval setup of our sample project? Check out our [writeup on how we use Langfuse for the docs chatbot](/blog/2026-07-16-steal-our-eval-setup)._

## Next Steps

Ready to set up your own project?

1. **[Get Started with Tracing](/docs/observability/get-started)**: Add observability to your LLM application
2. **[Set Up Prompt Management](/docs/prompt-management/get-started)**: Move prompts out of your code
3. **[Evaluate Production Traffic](/docs/evaluation/get-started/online)**: Start scoring live production traces

<!-- agent-instructions -->

---

## Agent Instructions

This page is part of the [Langfuse](https://langfuse.com) documentation, published as plain Markdown for AI agents. Every page is available as Markdown by appending `.md` to its URL, or by sending an `Accept: text/markdown` header. This page: `https://langfuse.com/docs/demo.md`.

### Querying these docs

If the answer is not on this page, query the documentation instead of guessing:

- **Semantic search** across all Langfuse docs, returning an answer with the relevant pages and excerpts. Ask a specific, self-contained question:

  ```bash
  curl -sG "https://langfuse.com/api/search-docs" --data-urlencode "query=How do I trace a LangGraph agent?"
  ```

- **Index of every page**: <https://langfuse.com/llms.txt>, with per-section indexes [llms-docs.txt](https://langfuse.com/llms-docs.txt), [llms-integrations.txt](https://langfuse.com/llms-integrations.txt), and [llms-self-hosting.txt](https://langfuse.com/llms-self-hosting.txt).

### Before writing Langfuse code

- **Install the [Langfuse Agent Skill](https://langfuse.com/docs/api-and-data-platform/features/agent-skill).** It encodes Langfuse's own best practices for instrumentation, prompt management, and evaluation, and materially improves results.
- **Read [What does a good trace look like?](https://langfuse.com/docs/observability/best-practices.md)** before instrumenting an application.
- **Verify endpoints, parameters, and response fields** against the [API reference](https://api.reference.langfuse.com) instead of inferring them from code examples.
- **Use the [Langfuse CLI](https://langfuse.com/docs/api-and-data-platform/features/cli)** (`npx langfuse-cli api <resource> <action>`) to read or write traces, prompts, datasets, and scores from the terminal.

Found an error in these docs? Please open an issue at <https://github.com/langfuse/langfuse-docs/issues>.