jevifylisted

# Turn marketing judgment calls into Jev jobs Read [shared.md](shared.md) first. Save the job file with kind `job`. Jev (by TypeSafe) is a decision model. It never writes. You give it text (the state) and closed questions. It returns a pick, a yes probability or a rubric score, each with a confidence. In a check on synthetic rows it took about a third of a second per call and about $0.03 per 1,000 short rows, so a judgment a team makes by hand on a sample can run on every row. The script sits beside this file. Run it by its full path: `python3 "<this skill's directory>/scripts/jev.py" <command> ...`. Resolve the directory from where you loaded this SKILL.md; do not rely on a variable for it. For API details the script does not cover, read https://docs.typesafe.ai/llms.txt. ## The rule: Jev reads meaning, code does numbers Split every workflow before building anything. | Who | Takes | Examples | |---|---|---| | Jev | What a piece of text means | a query's intent, a page's type, whether a page keeps an ad's promise, whether a draft breaks a brand rule | | Code | Anything computed from numbers or dates | CPA against target, volume floors, counts, percentages, date windows, dedupe, joins | | A writing model | Any words that come out | headlines, replies; only for rows Jev marked worth it | | A person | Anything that spends, publishes or sends when Jev is unsure | adding negatives, pausing ads, publishing | Never ask Jev to count, compute or compare dates; TypeSafe lists th