# Sageloop

## Docs

- [Common Workflows](https://docs.sageloop.app/common-workflows.md): Learn the most effective ways to use Sageloop for your specific needs
- [Core Concepts](https://docs.sageloop.app/core-concepts.md): Understand the philosophy and methodology behind Sageloop
- [Creating Scenarios](https://docs.sageloop.app/guide/creating-scenarios.md): Learn how to create effective test scenarios that lead to better insights
- [Generating Outputs](https://docs.sageloop.app/guide/generating-outputs.md): Learn how to generate AI outputs for your scenarios
- [Pattern Extraction](https://docs.sageloop.app/guide/pattern-extraction.md): Understand how Sageloop's AI learns from your ratings to find patterns
- [Rating Outputs](https://docs.sageloop.app/guide/rating-outputs.md): Learn how to rate AI outputs effectively
- [Welcome to Sageloop](https://docs.sageloop.app/index.md): See all your AI outputs at once and spot patterns instantly
- [Quick Start Guide](https://docs.sageloop.app/quickstart.md): Get from signup to your first insights in 15 minutes
- [Frequently Asked Questions](https://docs.sageloop.app/reference/faq.md): Quick answers to common questions about Sageloop
- [Use Case: Code Assistance](https://docs.sageloop.app/use-cases/code-assistance.md): Learn how teams evaluate AI code generation and explanation quality
- [Use Case: Content Generation](https://docs.sageloop.app/use-cases/content-generation.md): Learn how content teams use Sageloop to define and improve AI content quality
- [Use Case: Customer Support Bot](https://docs.sageloop.app/use-cases/customer-support.md): Learn how to define and improve support bot quality
- [Use Case: Data Extraction](https://docs.sageloop.app/use-cases/data-extraction.md): Learn how teams evaluate AI data extraction quality
- [Your First Project](https://docs.sageloop.app/your-first-project.md): A hands-on tutorial to create your first Sageloop project and extract insights

## Optional

- [App](https://workbench.sageloop.app)
- [Website](https://sageloop.app)