> ## Documentation Index
> Fetch the complete documentation index at: https://docs.literalai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Scoring

## Score Schemas

Literal AI offers an easy way to manage scores: **Score Schemas**.

With **Score Schemas**, admin users can control and expose to all users the various types of evaluations
allowed in their application. **Score Schemas** come in two flavors:

* **Categorical** -- Schemas let you create a set of categories, each tied to a numeric value.
* **Continuous** -- Schemas with a **\[min; max]** range which users score in.

For **Categorical** Schemas, each category has a description which is used to guide the scorer (be it **Human** or **AI**) in selecting the most
relevant category.

Here's how to create a Score Schema:

<Frame caption="Create Score Schema">
  <img src="https://mintcdn.com/chainlit-5/SattO4WPsa_7pLDy/images/create-score-schema.gif?s=9367e6deabe81e137e9059968320f38f" alt="Create a Score Schema" width="1497" height="763" data-path="images/create-score-schema.gif" />
</Frame>

Feel free to browse your steps from the Logs tab and simply add a "Human Review" directly on your `Step` and `Generation` entities:

<Frame caption="Score a Generation">
  <img src="https://mintcdn.com/chainlit-5/yVkf8qhp8dsNjo0g/images/score-generation.gif?s=5b8b2c991e2368a15505b7f923a879d8" alt="Score a Generation" width="1497" height="763" data-path="images/score-generation.gif" />
</Frame>

To go through a wide range of logs, leverage [annotation queues](/guides/annotation-queue)
which make it easier to streamline the review process.