EvalForge Docs
Back to main site →

Introduction to EvalForge

EvalForge is an evaluation platform that helps startup AI teams test prompt and model changes on real datasets before releasing them to production.


Why EvalForge?

Building AI applications is easy. Shipping updates with confidence is hard. Most teams rely on "vibes-based evaluation"—running a few manual tests in a playground and hoping for the best. This leads to silent regressions, unexpected token costs, and latency spikes.

EvalForge provides a repeatable workflow to compare variants against a golden dataset, measure tradeoffs, and ensure quality.

1. Build Datasets

Curate test cases from production logs or synthetic generation.

2. Configure Models

Connect to OpenAI, Anthropic, or local open-source models.

3. Run Experiments

Execute bulk inference runs to compare prompt A vs prompt B.

4. Score Outputs

Use LLM-as-a-judge or deterministic metrics to grade answers.

Getting Started

Ready to stop guessing and start measuring? Head over to the Quickstart guide to run your first evaluation benchmark in under 5 minutes.