Interactive · Play with it live

The Jev sandbox

Feed in a state, ask Noul / Choice / Score questions, and watch typed decisions come back with calibrated confidence. Edit the text and re-run to build intuition for how a System One model behaves.

Note: this is an offline teaching simulation using simple keyword heuristics — it mimics the shape of a Jev call, not the real model’s intelligence.

Pick a scenario

Classic Jev job: urgency, routing and frustration in one call.

Try editing the text — add words like “urgent”, “refund”, or “rm -rf” and watch the probabilities move.

noulDoes this need immediate escalation?
choiceWhich department should handle this?
scoreCustomer frustration (0–2)?
Auto-act threshold0.70

Answers at or above this confidence are auto-actioned; below it, they escalate to a human.

Typed decisions

Hit Run Jev to see typed, calibrated decisions come back — all evaluated in parallel.

See the API request & response

Request

{
  "model": "jev-latest",
  "state": "Hi, my Stripe payouts have been failing for 3 days and I'm losing sales. This is really urgent, please help ASAP!",
  "questions": {
    "is_urgent": {
      "type": "noul",
      "question": "Does this need immediate escalation?"
    },
    "department": {
      "type": "choice",
      "question": "Which department should handle this?",
      "choices": [
        "billing",
        "technical",
        "account"
      ]
    },
    "frustration": {
      "type": "score",
      "question": "Customer frustration (0–2)?",
      "scale": "0-2"
    }
  }
}