AI workflow compiler
24LLM
Describe an automation in a sentence. Get back an editable, tool-wired node graph that actually runs it.
The compiling problem
Turning an automation idea into a working pipeline usually means hand-wiring nodes, picking a model per step, and hoping it behaves the same way twice. Most 'no-code' builders start you on an empty canvas and leave the compiling, the model choices, and the guardrails entirely up to you.
The compiler
Built a natural-language-to-workflow compiler that parses a plain-English description straight into an editable, tool-wired node graph instead of a fixed template.
Wired per-node model selection, so each step in a workflow runs on the model suited to it rather than one model for the whole pipeline.
Added human-approval steps as first-class nodes, so a workflow can pause for a person before it continues.
Instrumented full execution tracing across the graph, so every run is inspectable step by step, not just pass or fail.
Built the backend and compiler end-to-end: the language-to-graph translation, the execution engine, and the API the editor runs on.
Sentence to system
A sentence goes in; a working, editable automation comes out, already wired to the right tools and models, with a human in the loop wherever the workflow needs one.
0
sentence to workflow
per-node
model selection
full
execution tracing
Wired in