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Build better applications

After you set up Helicone, it’s time to start building evaluators to track and improve your application’s performance.

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Quick Start

Get started with Helicone’s evaluation features by following these steps:

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Step 1: Monitor your application

Prompts

Setup and monitor your prompts.

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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.

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Step 3: Setup your Evaluator

Scoring Worker

Setup and monitor your scoring worker.

Webhooks

Setup and monitor your webhooks.

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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.