Tới câu thứ hai

POST https://api.typesafe.ai/v1/systemone

{
  "state": "Jev is a System One model: it doesn't write prose, it returns typed decisions with calibrated probabilities. Paste any text below and watch nine of them come back in a single request — charted, share…",
  "model": "jev-latest",
  "questions": {
    "value_clarity": {
      "type": "score",
      "instructions": "How quickly does a reader understand what this offers?",
      "criteria": [
        "Never — the value is never stated",
        "Only after several reads",
        "By the end of the paragraph",
        "By the second sentence",
        "Immediately, in the first line"
      ]
    },
    "audience": {
      "type": "choice",
      "instructions": "Who is this pitch written for?",
      "criteria": {
        "Investors": "Framed around market, traction, and returns",
        "Technical buyers": "Framed around how it works and integrates",
        "Business buyers": "Framed around outcomes, cost, and risk",
        "Consumers": "Framed around personal benefit",
        "Nobody in particular": "Too generic to identify a reader"
      }
    },
    "credibility": {
      "type": "score",
      "instructions": "How well are the claims in this pitch supported?",
      "criteria": [
        "Unsupported assertions throughout",
        "Mostly claims, one soft proof point",
        "A mix of claims and evidence",
        "Most claims carry specifics",
        "Every claim has a number or a name behind it"
      ]
    },
    "differentiation": {
      "type": "score",
      "instructions": "How clearly does this distinguish itself from alternatives?",
      "criteria": [
        "Any competitor could have written it",
        "A vague gesture at being different",
        "A stated difference, unproven",
        "A clear, specific difference",
        "A difference that is hard to copy and easy to verify"
      ]
    },
    "has_numbers": {
      "type": "noul",
      "instructions": "Does the pitch contain specific numbers?"
    },
    "names_the_problem": {
      "type": "noul",
      "instructions": "Does the pitch clearly state the problem it solves?"
    },
    "jargon_heavy": {
      "type": "noul",
      "instructions": "Is the pitch obscured by jargon?"
    },
    "has_ask": {
      "type": "noul",
      "instructions": "Does the pitch make a clear ask of the reader?"
    },
    "would_reply": {
      "type": "noul",
      "instructions": "If this arrived cold, would the intended reader reply?"
    }
  }
}