Jev is barely a week old, and this is already a pretty clean example of where a decision model fits inside an agent.

Clay for AI agents: you describe the kind of person you want, and @treg_ai searches across 60+ people-data providers to find matching leads and their details.

Jev then scores those people against your criteria, so the agent can automatically decide which leads are actually worth keeping.
i.e. Treg handles the retrieval side > Jev sits after retrieval.

- 85% cheaper than Clay
- #1 on people search bench accuracy
- Plugin to any agent

It takes the candidate state and evaluates questions such as whether someone matches a role, company profile, or other criteria, returning structured probabilities rather than another paragraph of generated text.