Jagent

Score a resume, optionally against a job posting: a 0-100 match score, the posting's keywords found and missing (matched literally, as an ATS search would), ATS format checks, the level fit, and the probability a recruiter would move it to interview.

{
  "type": "object",
  "properties": {
    "resume": {
      "type": "string",
      "minLength": 150,
      "maxLength": 12000,
      "description": "The resume as plain text."
    },
    "job_description": {
      "description": "The job posting to match against. Omit for a general resume check.",
      "type": "string",
      "maxLength": 8000
    }
  },
  "required": [
    "resume"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Grade one essay against a built-in rubric. kind "essay": six criteria and a letter grade, for class essays at middle school, high school or college level. kind "common-app": a Common App personal statement (pass the prompt number, 1-7). kind "sat": an SAT School Day essay, Reading/Analysis/Writing each 1-4 (pass the source passage to check quotations).

{
  "type": "object",
  "properties": {
    "essay": {
      "type": "string",
      "minLength": 100,
      "maxLength": 20000,
      "description": "The essay text."
    },
    "kind": {
      "default": "essay",
      "type": "string",
      "enum": [
        "essay",
        "common-app",
        "sat"
      ]
    },
    "level": {
      "description": "kind \"essay\" only. Default high school.",
      "type": "string",
      "enum": [
        "middle school",
        "high school",
        "college"
      ]
    },
    "assignment": {
      "description": "kind \"essay\": the assignment prompt.",
      "type": "string",
      "maxLength": 2000
    },
    "prompt": {
      "description": "kind \"common-app\": which of the seven prompts. Default 7, topic of your choice.",
      "type": "integer",
      "minimum": 1,
      "maximum": 7
    },
    "passage": {
      "description": "kind \"sat\": the source passage.",
      "type": "string",
      "maxLength": 8000
    }
  },
  "required": [
    "essay"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Grade one or more submissions (up to 30, in parallel) against a rubric you supply: each criterion scored on a 3- to 6-point scale, summed per submission. Each submission is graded in its own call, so its score never depends on the others.

{
  "type": "object",
  "properties": {
    "criteria": {
      "minItems": 1,
      "maxItems": 8,
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string",
            "minLength": 1,
            "maxLength": 60
          },
          "description": {
            "type": "string",
            "maxLength": 300
          }
        },
        "required": [
          "name"
        ]
      },
      "description": "Rubric rows, e.g. { \"name\": \"Evidence\", \"description\": \"Supports the claim with specific evidence\" }."
    },
    "points": {
      "default": 4,
      "type": "integer",
      "minimum": 3,
      "maximum": 6
    },
    "submissions": {
      "minItems": 1,
      "maxItems": 30,
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string",
            "maxLength": 80
          },
          "text": {
            "type": "string",
            "minLength": 100,
            "maxLength": 20000
          }
        },
        "required": [
          "text"
        ]
      }
    },
    "assignment": {
      "type": "string",
      "maxLength": 2000
    }
  },
  "required": [
    "criteria",
    "submissions"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Ask any yes/no question about a text and get the probability that the answer is yes. Use for checks and gates, e.g. 'Does this reply answer the customer's question?'.

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "minLength": 1,
      "maxLength": 60000,
      "description": "The text to judge."
    },
    "question": {
      "type": "string",
      "minLength": 3,
      "maxLength": 1000
    },
    "yes_means": {
      "description": "What a yes looks like, if it helps to spell out.",
      "type": "string",
      "maxLength": 300
    },
    "no_means": {
      "type": "string",
      "maxLength": 300
    }
  },
  "required": [
    "text",
    "question"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Pick the option that best fits a text, with a probability for every option and a confidence. Options map an id to a description of when it applies.

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "minLength": 1,
      "maxLength": 60000
    },
    "question": {
      "type": "string",
      "minLength": 3,
      "maxLength": 1000
    },
    "options": {
      "type": "object",
      "propertyNames": {
        "type": "string",
        "minLength": 1,
        "maxLength": 60
      },
      "additionalProperties": {
        "type": "string",
        "minLength": 1,
        "maxLength": 500
      },
      "description": "e.g. { \"billing\": \"Payments, refunds, invoices\", \"technical\": \"Bugs and errors\" }"
    }
  },
  "required": [
    "text",
    "question",
    "options"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Place a text on an ordered scale you define (lowest level first) and get the nearest level, the exact position and a probability for each level.

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "minLength": 1,
      "maxLength": 60000
    },
    "question": {
      "type": "string",
      "minLength": 3,
      "maxLength": 1000
    },
    "levels": {
      "minItems": 2,
      "maxItems": 10,
      "type": "array",
      "items": {
        "type": "string",
        "minLength": 1,
        "maxLength": 300
      },
      "description": "Lowest first, e.g. [\"Off-topic\", \"Partly relevant\", \"Fully relevant\"]."
    }
  },
  "required": [
    "text",
    "question",
    "levels"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Which of two versions is stronger for a stated purpose. Asked twice with the order swapped and averaged, because the model favors the second option on close calls; if the two orders disagree the result is a tie.

{
  "type": "object",
  "properties": {
    "question": {
      "type": "string",
      "minLength": 3,
      "maxLength": 1000,
      "description": "e.g. 'Which opening line would an admissions reader find more compelling?'"
    },
    "version_a": {
      "type": "string",
      "minLength": 1,
      "maxLength": 5000
    },
    "version_b": {
      "type": "string",
      "minLength": 1,
      "maxLength": 5000
    },
    "context": {
      "description": "The surrounding text, such as the whole essay or the job posting.",
      "type": "string",
      "maxLength": 60000
    }
  },
  "required": [
    "question",
    "version_a",
    "version_b"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}