> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://humanloop.com/docs/v5/explanation/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://humanloop.com/docs/_mcp/server.

# Explanation

## Docs

- [Integrating Humanloop](https://humanloop.com/docs/explanation/integrating-humanloop.md): Best practices for integrating Humanloop into your software development life cycle
- [Humanloop Files](https://humanloop.com/docs/explanation/files.md): Discover how Humanloop manages datasets, with version control and collaboration to enable you to evaluate and fine-tune your models.
- [Prompts](https://humanloop.com/docs/explanation/prompts.md): Discover how Humanloop manages prompts, with version control and rigorous evaluation for better performance.
- [Agents](https://humanloop.com/docs/explanation/agents.md): Humanloop Agents enable you to build and monitor complex AI workflows, from simple tool calling to sophisticated multi-step processes. Create, test, and deploy Agents through our UI or API.
- [Evaluators](https://humanloop.com/docs/explanation/evaluators.md): Learn about LLM Evaluation using Evaluators. Evaluators are functions that can be used to judge the output of Prompts, Tools or other Evaluators.
- [Tools](https://humanloop.com/docs/explanation/tools.md): Discover how Humanloop manages tools for use with large language models (LLMs) with version control and rigorous evaluation for better performance.
- [Flows](https://humanloop.com/docs/explanation/flows.md): Humanloop Flows trace and evaluate complex AI workflows, from LLM agents to retrieval-augmented generation (RAG). By unifying all components, Flows provide the context needed to debug and iterate with confidence.
- [Datasets](https://humanloop.com/docs/explanation/datasets.md): Discover how Humanloop manages datasets, with version control and collaboration to enable you to evaluate and fine-tune your models.
- [Logs](https://humanloop.com/docs/explanation/logs.md): Logs contain the inputs and output of each time a Function Files is called.
- [Directories](https://humanloop.com/docs/explanation/directories.md): Directories can be used to group together related Files. This is useful for organizing your work as part of prompt engineering and collaboration.
- [Environments](https://humanloop.com/docs/explanation/environments.md): Deployment environments enable you to control the deployment lifecycle of your Prompts and other files between development and production environments.