Dixit Card Story Prompt Generator
Bounded offline original story prompts,not licensed Dixitcardimages. Uses one advancing source and existing random-index calculation;explicit replacement,at most64draws,infeasibleunique requestsrejected. Repertoireis original illustrative entertainment,not completecanon,personaltraitinference,secure randomness or predictive truth.
Description
A story prompt can suggest an unusual scene for association or imaginative play.
A story prompt can suggest an unusual scene for association or imaginative play.1
This sampler provides original premises from a fixed inventory and does not reproduce Dixit cards, illustrations or scoring rules.
When to use Dixit Card Story Prompt Generator
Use this tool to draw reproducible entries from the documented fixed inventory.
How to use Dixit Card Story Prompt Generator and how it works
- Review the stored inventory and decide whether repeated entries are acceptable for the activity.
- Enter a nonblank seed, count and withoutReplacement; for distinct draws, keep count within the inventory size.
- Run the tool and read result.selectedTexts in draw order and result.samplingConvention.
- Reuse the seed and settings to reproduce a draw, or change the seed for another sample; adapt selected text to the activity.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| seed | Nonblank reproducibility seed; at most 256 UTF-16 code units. | string | required; further conditions in the algorithm |
| count | Number of stored entries to draw; integer 1–64. | number | required; finite; further conditions in the algorithm |
| withoutReplacement | True for distinct inventory positions; false to allow repeated draws. | boolean | required; further conditions in the algorithm |
Use one advancing random source for the request. Require integer count 1–64 and an explicit withoutReplacement boolean. Sample uniformly from 6 stored text positions. With replacement, each draw uses the full inventory; without replacement, remove each sampled position and reject counts exceeding 6. Return the selected texts in draw order and the sampling-convention label.
The default source hashes the seed’s UTF-16 units into an integer state and advances a deterministic arithmetic generator for each sample. A supplied execution-context random source takes precedence and must return finite values in [0,1). The required seed still must be nonblank and at most 256 UTF-16 code units. These draws provide reproducible sampling without cryptographic unpredictability.2
P(position per draw) = 1/6 with replacement; without replacement, 1/(remaining positions) Apply the declared units, ordering and branch conditions.
| Zero-based position | Stored entry |
|---|---|
| 0 | A floating island carries a forgotten clock |
| 1 | A tiny boat sails through a teacup |
| 2 | A library grows from an ancient tree |
| 3 | A fox trades shadows with a lantern |
| 4 | A staircase leads to the clouds |
| 5 | A garden blooms beneath the sea |
| Output field | Meaning | Value type |
|---|---|---|
| result | Object containing the declared output fields. | object |
| result.selectedTexts | Selected stored entries in draw order. | array |
| result.samplingConvention | Label identifying uniform sampling with or without replacement. | string |
{
"input": {
"seed": "batch51-example",
"count": 2,
"withoutReplacement": false
},
"output": {
"result": {
"selectedTexts": [
"A floating island carries a forgotten clock",
"A fox trades shadows with a lantern"
],
"samplingConvention": "uniform-with-replacement"
}
}
}Limitations and assumptions
The inventory is fixed, bounded and shown below. The tool samples existing entries rather than generating new text, personalizing from identity data or establishing a prediction. The same seed reproduces the same request under the cited implementation; a supplied random source overrides the seeded sequence.
Supply explicit required fields with the documented types and dense aligned arrays. Unknown fields, wrong types and nonfinite numbers are rejected. Branch-specific constraints are explained above. A returned boolean, signed difference or tied result follows the stated convention; an input error instead means the required input contract was not satisfied. Very large inputs or outputs may be rejected by shared resource limits.
Alternative or Complementary methods
For a related operation, use Escape Room Puzzle Seed Generator. Escape-room design often starts with a clue, object or simple puzzle premise.
For a related operation, use D&D Encounter Table Roller. A role-playing encounter starts with a situation that participants can respond to.
References
-
Dixit Card Story Prompt Generator — tool.io
-
Existing seeded random generator — tool.io
Similar or alternative tools
- Escape Room Puzzle Seed Generator
Escape-room design often starts with a clue, object or simple puzzle premise.
- D&D Encounter Table Roller
A role-playing encounter starts with a situation that participants can respond to.