I measured open vs closed models on my own product, and open weights won one and lost one
说明与用途
Chalk 使用开源模型生成带照片验证的准确报价,提高赢单概率和利润率。
问题
A cleaning professional needed a quick, accurate, and data‑driven quote for a client visit, but manual quoting was slow, error‑prone, and often underpriced.
结果
Open‑weight models produced more usable, accurate quotes than closed models, with higher win odds and better margin preservation.
工作流
- Walk: capture photos and record job details
- Price: generate itemized scope, fair price, range, and win odds using open‑weight vision and TabPFN
- Send: compose client message with assumptions and validity window via open‑weight text model
- Answer: client accepts via link, booking the job and updating win rate
证据
The vision model wrote the caption on each photograph — kitchen: greasy hob, tiled splashback, oven: caked‑on grime, interior racks — and attached each line item to the photograph that justifies it.
Two tasks, scored apart, so a weak pair of eyes can never be blamed on a weak brain.
- 记录日期: 2026-10-18T12:55:59.319Z