Build and Evaluate AI Outputs Using HyperAgent's Rubrics Feature
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HyperAgent
AI Agents
Optimization
A guide to providing continuous feedback to AI agents and building 'Rubric' systems (LLM-as-judge) to ensure consistent and accurate output quality.
When to Use Rubrics
You don't necessarily need a Rubric for simple, one-off tasks. However, it becomes critical when building scalable systems where output quality must remain consistent and improve over time.
The Benefits of LLM-as-Judge
By using the Rubrics feature, you are essentially training the AI to act as a 'judge' for its own output. This enables a continuous feedback loop that runs automatically with minimal human intervention.
Skill Update Tip
Make sure to perform an 'Update Skill' once your rubric is finalized. Otherwise, the AI Agent might continue using its old logic and ignore your new evaluation criteria.
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