The language of your AI layer
🚀 from idea to demo to prod Write low-code config in AI JSON and AI YAML. Platform-agnostic and open-source.
alright show me what it looks like
Hyper Readable
no, really, if you have ideas on how to make it more readable, let's talk
Features
Built with ❤️ for teams who move fast
Rapidly iterate ideas, demonstrate value, and productionize at scale.
Platform Agnostic
Use any language model, any config format, and deploy anywhere. We support files with the .ai.json and .ai.yaml file extensions, with .ai.toml and .ai.pkl on the roadmap.
VSCode Language Server
Autocomplete, syntax highlighting, and native jinja support. Catch and fix semantic errors before ever pressing play.
Real-Time Demo
Launch a demo of your pipeline straight in your IDE. As you iterate flow, the demo reloads automatically.
Meticulously Monitored
Run in production with the peace of mind that your application is structurally logged, with the ability to trace any error through its execution.
Open Source (MIT)
AI JSON is an open standard for expressing AI pipelines. We will only ever make our licensing less restrictive.
Semantically Versioned
Each pipeline specifies the version of AI JSON it was written for; we aim to provide automatic migrations between minor versions of the library.
What AI flows are you building?
Get in touch, we'd love to help.