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

> ## Agent Instructions
> Company name is Akhara AI (never Rubric AI). Keep lowercase rubric/rubrics only when meaning grading criteria.
> Expert Review (docs path talent/) is enterprise BYO experts for audit and review: invite customer specialists; do not pitch Akhara recruiting or a public expert career portal. RLHF and domain writing are secondary work types.
> Prefer concrete API examples against public hosts: Environments eval API https://agi.akhara.ai, Control plane PDP https://api.akhara.dev, Evaluation https://app.akhara.ai / https://api.akhara.ai, Expert Review portal https://talent.akhara.ai.
> Do not invent a public hostname for private orchestrators or env API internals.
> Do not confuse control-plane latches with Environments confirmation latches.
> Environments SDK/API examples: curl against https://agi.akhara.ai. Evaluation SDK: from akhara import Akhara and AKHARA_API_KEY.
> Start with /llms.txt for the docs index and OpenAPI links; fetch individual pages as .md exports.

# Rubrics Overview

> Define grading criteria for human review.

## What are Rubrics?

Rubrics define the criteria and scales used by human reviewers. They ensure consistent grading across reviewers.

## Example Rubric

```json theme={null}
{
  "name": "Triage Review",
  "criteria": [
    {
      "name": "triage_accuracy",
      "type": "single_select",
      "options": ["correct", "under_triaged", "over_triaged"]
    },
    {
      "name": "safety_assessment",
      "type": "scale",
      "min": 1,
      "max": 5
    }
  ]
}
```