Things I’ve built

stepmold.

Open source · Python

stepmold
96.5% end-to-end on a 50-node workflow at a 10% per-step error rate, against 2.0% with no verification
MIT licensed

Problem solved

A small model is not bad at one step. It is bad at many steps in a row. A 2% error per step compounds to a 33% failure rate over 20 steps, and worse the longer the task runs.

What I built

Most agent frameworks answer that by reaching for a bigger model. stepmold answers it by making each step short, schema-constrained and verified before anything is committed, so errors stop compounding. Measured on a 50-node workflow at a 10% per-step error rate: 96.5% end-to-end success, against 2.0% for the same model with the same prompts and no verification.

Timeline

Aug 2026 – Sep 2026

Tech stack

PythonConstrained decodingJSON SchemaStructured outputllama.cppOllamavLLMLocal LLMsSmall language modelsOn-premise
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