What it is
Decision Kernel exposes TypeSafe Jev as a fast, calibrated, low-cost judgment API for small SaaS, support teams, and agent developers. It classifies text into triage, urgency, spam, tone, and risk, and provides an agent-safety gate for actions.
How it uses Jev
Jev makes decisions on text for /classify (triage, urgency, spam, tone, risk) and on action, cost, goal, and lastActions for /guard (spend, off_goal, duplicate, undoable, last_ok, lead_real). Results are returned as calibrated probabilities and used in code to route or gate actions.
Primitives:choicescorenoul
Technique worth stealing
Use a decision model for typed, calibrated answers instead of LLM prose when possible answers are known.
Try it
curl -X POST https://decision-kernel.pickaxe.workers.dev/classify -H "Content-Type: application/json" -d '{"text":"my app keeps crashing when I try to export my data, please help"}'
Evidence
Each line is one question put to Jev about the README. ≥ 0.60 reads as yes, ≤ 0.40 as no; in between Jev is not making a call.
- Jev-centricyes0.91
- Shows a System One patternyes0.76
- Handles uncertaintyno0.12
- Measuredunclear0.48
- Runnableyes0.84
- Worth recommendingunclear0.41
- Model replicano0.13
- Problem scopescore on a 0–2 scale1.99
- About Jevyes0.97
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 20 Sept 2026.