Skip to content

Main content

Random Fictional Interview Transcript Generator

Arrange supplied question/answer templates and interruptions into labeled fictional turns using a consistent explicit fact ledger.

Loading tool…

Description

Arrange supplied question/answer templates and interruptions into labeled fictional turns using a consistent explicit fact ledger.

A structured creative brief combines a supplied bank of fictional material with explicit sequencing, timing, or compatibility rules. IDs and tags make those constraints inspectable; they do not assess the artistic meaning or quality of a scene.

Arrange supplied question/answer templates and interruptions into labeled fictional turns using a consistent explicit fact ledger.

When to use this tool

Use this generator to create reproducible fictional interview transcript cases from the supplied model or bank. Inspect the returned evidence before using cases in a test or exercise.

How to use the tool and how it works

  1. Supply facts, pairs, interviewer, guest, interruptions, count, wrapWidth in the field shapes below. Set seed when you need an explicit replay.
  2. Run the tool and correct any input error. For generated controls, distinguish a successful fixture containing an invalid case from failure to generate the fixture.
  3. Read facts, turns. Use the conventions below. Keep answer-bearing fields separate when presenting an exercise.

Validate fact references and required answer value tokens, expand supplied question/answer templates, and sample pairs without replacement. Alternate interviewer questions and guest answers, optionally inserting supplied interruptions between pairs.1

Input fieldMeaning and unitsAccepted input
factsFactsRequired. Array of Object; no unknown keys.; minimum items 1; maximum items 16.
facts[].idLiteral identifier used independently of display labels.Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
facts[].valueValueRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
pairsPairsRequired. Array of Object; no unknown keys.; minimum items 1; maximum items 16.
pairs[].idLiteral identifier used independently of display labels.Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
pairs[].factIdFact IdRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
pairs[].questionQuestionRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
pairs[].answerAnswerRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
interviewerInterviewerRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
guestGuestRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
interruptionsInterruptionsRequired. Array of Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.; minimum items 0; maximum items 16.
countCountRequired. Safe integer; minimum 1; maximum 16.
wrapWidthWrap WidthRequired. Safe integer; minimum 1; maximum 4096.
seedOptional numeric seed; takes precedence over context randomness. Without either, use the fixed tool.io default seed.Optional. Safe integer.
Output fieldInterpretationReturned shape
factsFactsRequired. Array of Object; no unknown keys.; minimum items 1; maximum items 16.
facts[].idLiteral identifier used independently of display labels.Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
facts[].valueValueRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
turnsTurnsRequired. Array of Object; no unknown keys.; minimum items 2; maximum items 48.
turns[].kindKindRequired. Text; one of "question", "answer", "interruption".
turns[].speakerSpeakerRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 1024.
turns[].factIdFact IdRequired. Text; minimum UTF-16 length 1; maximum UTF-16 length 64.
turns[].bodyBodyRequired. Object; no unknown keys.
turns[].body.textTextRequired. Text; maximum UTF-16 length 65536.
turns[].body.lineCountLine CountRequired. Safe integer; minimum 0; maximum 9007199254740991.
randomnessReplay source and normalized 32-bit seed, or null seed for an advancing context source.Required. Object; no unknown keys.
randomness.seedOptional safe-integer replay seed; normalization and precedence are explained below.Required. Safe integer. or Null.
randomness.sourceSourceRequired. Text; one of "context", "seed".

An explicit safe-integer seed takes precedence over injected context randomness and is normalized to an unsigned 32-bit integer. With no seed and no context source, replay uses the fixed tool.io default seed. A context source must return finite values from zero inclusive to one exclusive; its advancing state must be retained separately. randomness records the source and normalized seed, or null for context. These generators are not cryptographic random sources.

json
{
  "input": {
    "facts": [
      {
        "id": "gate",
        "value": "open"
      },
      {
        "id": "lamp",
        "value": "blue"
      }
    ],
    "pairs": [
      {
        "id": "q1",
        "factId": "gate",
        "question": "Gate?",
        "answer": "It is {value}."
      },
      {
        "id": "q2",
        "factId": "lamp",
        "question": "Lamp?",
        "answer": "It is {value}."
      }
    ],
    "interviewer": "Host",
    "guest": "Mara",
    "interruptions": [
      "Pause."
    ],
    "count": 2,
    "wrapWidth": 80,
    "seed": 42
  },
  "output": {
    "facts": [
      {
        "id": "gate",
        "value": "open"
      },
      {
        "id": "lamp",
        "value": "blue"
      }
    ],
    "turns": [
      {
        "kind": "question",
        "speaker": "Host",
        "factId": "lamp",
        "body": {
          "text": "Lamp?",
          "lineCount": 1
        }
      },
      {
        "kind": "answer",
        "speaker": "Mara",
        "factId": "lamp",
        "body": {
          "text": "It is blue.",
          "lineCount": 1
        }
      },
      {
        "kind": "interruption",
        "speaker": "Host",
        "factId": "lamp",
        "body": {
          "text": "Pause.",
          "lineCount": 1
        }
      },
      {
        "kind": "question",
        "speaker": "Host",
        "factId": "gate",
        "body": {
          "text": "Gate?",
          "lineCount": 1
        }
      },
      {
        "kind": "answer",
        "speaker": "Mara",
        "factId": "gate",
        "body": {
          "text": "It is open.",
          "lineCount": 1
        }
      }
    ],
    "randomness": {
      "seed": 42,
      "source": "seed"
    }
  }
}

Limitations and assumptions

  • Names must differ, and the facts are caller-supplied fiction. Expansion is literal substitution rather than factual research or dialogue generation; the returned fact bank can reveal exercise answers.
  • A replay requires the same complete input and implementation. The stated sampling convention applies within its eligible space. A finite draw does not exhaust all possible outputs; repeats remain possible unless a distinct-selection rule is explicit.
  • The field tables state structural bounds; cross-field constraints and bounded search or output budgets also apply. Unknown keys are rejected where the object contract disallows them. Input errors are distinct from null fields and deliberate invalid controls in a successful output.

Alternative or Complementary methods

For a supplied example, inspect the returned construction or delegated check directly. To evaluate a consumer, also test cases chosen for its own boundaries; a generated finite corpus does not establish exhaustive coverage.

References

  1. Tool behavior and example: Random Fictional Interview Transcript Generator — tool.io

Similar or alternative tools