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Lead Scoring and Message Selection

JEV is a model that makes decisions rather than writing text, providing yes-or-no answers, scores, or choices with calibrated probabilities. Purist says it scored 712 LinkedIn messages in 8.3 seconds for $0.045 for the whole batch.

View on X cost$0.045 for the whole batchtimein 8.3 seconds
Purist@Puristonline𝕏
BREAKING: This model is 400x cheaper and 200x faster than ChatGPT. It shipped 6 days ago. I scored 712 LinkedIn messages in 8.3 seconds. For 4 cents. Not with ChatGPT. With JEV, a model that writes nothing. It does one thing: decide. Yes or no, a score, a choice. With a calibrated probability. On 712 hot leads and 712 personalized DMs: → 7,120 typed scores (hook, offer, CTA, buying signal, ICP fit, intent…) → the best message picked for each lead → every lead/message mismatch caught before send → $0.042 per million tokens. $0.045 for the whole batch. The truth? Most of the time spent on outbou
Sep 23, 2026X postsView on X
The batch included 712 hot leads and 712 personalized DMs. Purist says JEV scored hooks, offers, calls to action, buying signals, ICP fit, and intent, selected the best message for each lead, and caught lead/message mismatches before sending.

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