Evaluation Overview
Learn how to use Helicone’s evaluation features to monitor, debug, and optimize your applications.
Build better applications
After you set up Helicone, it’s time to start building evaluators to track and improve your application’s performance.
Quick Start
Get started with Helicone’s evaluation features by following these steps:
Step 1: Monitor your application
Step 2: Create an evaluator
LLM as a judge
Use an LLM as a judge to evaluate your application.
Custom
Create and deploy your own evaluator using your preferred infrastructure.
Python (soon)
Managed deployment of your evaluator through Helicone.
Typescript (soon)
Managed deployment of your evaluator through Helicone.
Step 3: Setup your Evaluator
Questions?
Although we designed the docs to be as self-serving as possible, you are welcome to join our Discord or contact help@helicone.ai with any questions or feedback you have.
Need help? Schedule a call with us.
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