# Introduction to Fiddler

### Unified Observability for Trustworthy AI

The only platform delivering enterprise-grade visibility, context, and control across traditional ML models, LLM applications, and autonomous multi-agent systems.

## 🚀 Get Started in <10 Minutes

Choose your path based on your use case:

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="image">Cover image</th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Agentic Observability</strong></td><td>Monitor AI agents and multi-step workflows</td><td><a href="https://3170638587-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F82RHcnYWV62fvrxMeeBB%2Fuploads%2Fgit-blob-81655e166f6fb68d66684ad61d14e999daad4706%2Fdocs-icon-agentic-monitoring-min.jpg?alt=media">docs-icon-agentic-monitoring-min.jpg</a></td><td><a href="../getting-started/agentic-monitoring">agentic-monitoring</a></td></tr><tr><td><strong>Experiments</strong></td><td>Test and validate LLM outputs</td><td><a href="https://3170638587-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F82RHcnYWV62fvrxMeeBB%2Fuploads%2Fgit-blob-247eda39289f934b441fcf58d584022faf27969c%2Fdocs-icon-llm-evaluation-min.jpg?alt=media">docs-icon-llm-evaluation-min.jpg</a></td><td><a href="../getting-started/experiments">experiments</a></td></tr><tr><td><strong>Guardrails</strong></td><td>Protect your AI applications</td><td><a href="https://3170638587-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F82RHcnYWV62fvrxMeeBB%2Fuploads%2Fgit-blob-87ab7da891be9d785d0e8ef728472d21d8b57835%2Fdocs-icon-guardrails-min.jpg?alt=media">docs-icon-guardrails-min.jpg</a></td><td><a href="../getting-started/guardrails">guardrails</a></td></tr><tr><td><strong>LLM Monitoring</strong></td><td>Monitor LLM applications in production</td><td><a href="https://3170638587-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F82RHcnYWV62fvrxMeeBB%2Fuploads%2Fgit-blob-bd207f3b0f7c284f079e8e0261d1c862cd321621%2Fdocs-icon-llm-monitoring-min.jpg?alt=media">docs-icon-llm-monitoring-min.jpg</a></td><td><a href="../getting-started/llm-monitoring">llm-monitoring</a></td></tr><tr><td><strong>ML Observability</strong></td><td>Monitor traditional ML models</td><td><a href="https://3170638587-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F82RHcnYWV62fvrxMeeBB%2Fuploads%2Fgit-blob-1888b857536bd454d5941ec2570d951058fb4fc1%2Fdocs-icon-ml-observability-min.jpg?alt=media">docs-icon-ml-observability-min.jpg</a></td><td><a href="../getting-started/ml-observability">ml-observability</a></td></tr></tbody></table>

***

## 📦 Explore Fiddler Platform Features

Learn about our three core products:

* [Evaluate & Test](https://docs.fiddler.ai/evaluate-and-test/overview) - Validate LLM applications and models before and after deployment
* [Observability](https://docs.fiddler.ai/observability/monitoring) - Monitor production agentic applications, GenAI and LLM applications, and ML models in real time
* [Protect & Guardrails ](https://docs.fiddler.ai/protect-and-guardrails/protection)- Ensure AI safety and compliance

***

:question: Questions? [Talk](https://www.fiddler.ai/contact-sales) to a product expert or [request](https://www.fiddler.ai/demo) a demo.

:bulb: Need help? Contact us at <support@fiddler.ai>.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.fiddler.ai/welcome/readme.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
