Learning Timeline
Key Insights
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.
Prompts
Building an Evaluation Rubric via Chat
Target:
HyperAgent Chat
Help me build a rubric to score great Greg style content.
Step by Step
How to Build an AI Evaluation Rubric (LLM-as-Judge)
- Identify AI outputs that need improvement (e.g., a tweet writing style that feels too formal or robotic).
- Open a chat session in the HyperAgent interface to provide direct feedback.
- Enter a prompt asking the AI to build a rubric based on your desired criteria.
- Define specific evaluation dimensions (e.g., 5 quality dimensions) so the AI knows exactly what to assess in future outputs.
- Click on the 'Update Skill' option to allow the system to update the agent's logic based on the new rubric.
- Enable the 'Auto-evaluate' function so that every subsequent output is automatically assessed according to the set rubric standards.
- Monitor the scores provided by the AI to ensure consistent output quality without needing manual reviews every time.
