Lead scoring and sales triage with decision models

Self-hostable Reddit buyer-intent finder that has Jev judge every post and comment it reads, with a written reason and cost per lead.

Scores HeyReach LinkedIn leads and first-message variants with Jev, picks a message per lead and writes draft campaigns back.

Helper n8n node for Jev by Brains of Bots: classify, route and score with a probability per answer to send unsure items to review.

Floating live-call coach that transcribes locally and asks Jev after each sentence what to do next, shown with a confidence gauge.

Combines Jev judgments on row text with a tabular foundation model like TabPFN to predict outcomes from few labels.

Vercel Labs example routing form submissions to the right team with Jev via AI SDK, falling back to an LLM when uncertain.

Weekly go-to-market workflows built on Jev, such as lead triage and deal risk, each tested against Claude.

Marketing and voice-agent platform with an experimental TypeSafe module that picks specialisation labels for agent roles.

HeyGen post on a lead pipeline where Jev decides in milliseconds which leads deserve a personalised video before rendering.