Hi everyone, During the Meta Global AI Developer Hackathon, I wanted to tackle specific problem in banks: validation wokflows. In traditional banking, turning a 50-page credit policy PDF into an operational workflow takes weeks of manual meetings. Zotra solves this by combining open-weights models (Meta's Muse Spark & SAM 3.1) with a deterministic execution engine. How it works: Ingestion & Parsing: Extracts clauses, tables, and sections from PDF policies, mapping every rule to an exact paragraph citation. Rule Compilation: Translates natural language into strict schemas and CEL (Common Expression Language) expressions. Execution: Go-based concurrent engine evaluates multi-variable loan applications deterministically. The AI helps design and test, but never decides on live cases—only people and CEL rules do. Stack: Go backend, PostgreSQL, React/Tailwind frontend, and Apache 2.0 license. The github link: https://github.com/donovan-ratefison/Zotra I put together a demo over on X if anyone wants to check it out: https://x.com/donovan_rtfs/status/2116898213101724061 Would love to hear your thoughts on this project!   submitted by   /u/CountryEmotional4228 [link]   [comments]