Built a construction plan-set classifier with Jev.

@hari_trinay Trinay Hari · Sep 19, 2026 · case #519453 · listed via Jev Hub

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Classified a 26-sheet construction plan set with Jev in 2.9 seconds for $0.0052, matching GPT-4.1 and GPT-6 Astra on 100% of sheets.

The original post

Built a construction plan-set classifier with Jev. Proq turns civil and building plan sets into bills of materials using an LLM pipeline we built on GPT-4.1. Jev classified an entire 26-sheet plan set in 2.9 seconds for $0.0052. It matched GPT-4.1 and GPT-6 Astra on 100% of

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under agents & workflows, classification & data extraction. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the agents & workflows page.

🤖 Agents & workflows 🗂️ Classification & data extraction