Watch how teams ship reliable AI pipelines with Noukai — patterns from the editor, debugger, and live runs.
A step-by-step guide to creating powerful AI systems without writing code
Imagine you're on the Apple Notes team shipping one button: Summarize. Here's how you'd build the AI behind it in Noukai — a three-block pipeline that turns a messy note into a summary, the points that matter, and actions the app can take, with a passthrough that keeps the token bill honest.
We're excited to announce multi-project support, allowing Professional and Enterprise users to organize their AI workflows into separate projects with dedicated resources and team access controls.
We used an LLM to generate furigana — until we noticed each reading was eating up to 10% of every response in tokens we never needed to spend. Here's where token spend really hides in an AI pipeline, and the four moves that plug it: route data past the model, hand deterministic work to code, size the model per block, and constrain the output.