> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://humanloop.com/docs/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://humanloop.com/docs/_mcp/server.

# Humanloop is the LLM Evals Platform for Enterprises

> Learn how to use Humanloop for prompt engineering, evaluation and monitoring. Comprehensive guides and tutorials for LLMOps.

> **Warning**
>
> The Humanloop platform will be sunset on **September 8th, 2025**. If you need
> to export your data, please see our [Migration Guide](/docs/guides/migrating-from-humanloop).

Humanloop enables product teams to build robust AI features with LLMs, using best-in-class tooling for **Evaluation**, **Prompt Management**,
and **Observability**.

![Humanloop](/docs/_fern-img/6057ba1dfbdcdec6990b94856ad28ba215552907cc3d257628d0ce5a0d9d57a8.webp)

The most successful AI teams focus on two best practices:

**Evals-driven development**\

They put evals at the heart of product development, continuously refining and enhancing AI features through feedback and iteration.

**Collaborative development**\

They enable non-technical domain experts and PMs to work seamlessly with engineers on prompt engineering and evaluation.

### Get started with Humanloop

Humanloop enables you to adopt these best practices. Our evals, prompt engineering and observability are designed to work together in a fast feedback loop. It works both UI-first and code-first so that the experience is great for developers and subject matter experts (SMEs).

#### [I'm an Engineer](/docs/quickstart/evals-in-code)

Get started with evals in code

#### [I'm a Product Manager](/docs/quickstart/create-prompt)

Get started with prompt engineering in our UI

Get started with the guides above or learn more about Humanloop's [key concepts](/docs/explanation/files) and [customer stories](https://humanloop.com/customers).