Kiln – AI Boilerplate with Evals, Fine-Tuning, Synthetic Data, and Git

In plain words

Kiln is a free, open-source boilerplate for AI projects that integrates essential tools into one package. It includes evaluation systems with LLM-as-judge capabilities, fine-tuning support across multiple providers like OpenAI and Fireworks, synthetic data generation, and model routing across twelve providers. The tool is designed for developers building AI applications who need standardized infrastructure for testing, improving, and deploying models, with git-based collaboration built in.

written from the facts on this page · September 2026

From the sources

Demos of Kiln AI Projects. Contribute to Kiln-AI/demos development by creating an account on GitHub.

There are a ton of boilerplates out there for web development that integrate the tools you need to start a project (web framework, tests, CSS framework, auth, CI, etc). So why aren't there good boilerplates for starting AI projects? I've been building a boilerplate with the tools most AI projects need: evals, synthetic data, fine-tuning, collaboration, and more. They all work together smoothly, and you can set up a new project in a few minutes. It offers a systematic way to iterate on AI systems, moving past vibe-checks. It's called Kiln , and it's a free+open tool that runs locally. This walkthrough covers: Learn more about Kiln on our primary GitHub repo (this repo is for Kiln demo…from github.com

In the maker’s words, at launch

I noticed there weren't boilerplates for AI projects like there were for web apps, so I built one. Same idea - everything you need to get a project up and running quickly. However, instead of web-framework/CSS/DB, it's tools for AI projects: evals, synthetic data gen, fine-tuning, and more. Kiln is a free…

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