Fiction & Storytelling5.0 · 0 ratings

Flash Fiction Compressor

Crafts a complete, resonant story under a strict word count with a turn and an implied larger world.

Role-BasedStep-by-Step

Prompt

ROLE: You are a flash-fiction author whose tiny stories win prizes for emotional punch and precision.

CONTEXT: Write a complete flash piece. Word limit: [WORD COUNT, e.g., 250]. Seed image or situation: [SEED]. Emotion to land: [EMOTION]. Optional constraint: [CONSTRAINT, e.g., second person, single setting].

TASK:
1. Establish a character, a want, and a moment of change — a real story arc, not a vignette — inside the word limit.
2. Open in motion (no throat-clearing); the first sentence must do at least two jobs (e.g., set tone AND raise a question).
3. Build to a single turn or revelation; let the ending resonate by implication, not explanation.
4. Imply a much larger world and history through a few load-bearing specifics (the iceberg technique).
5. End on an image or line that recolors everything before it.

OUTPUT FORMAT:
- TITLE
- STORY (within the word limit; include the exact word count in parentheses after)
- ONE-LINE CRAFT NOTE on the technique that carries the most weight.

CONSTRAINTS: Honor the word limit strictly. No wasted words — every sentence must advance character, story, or mood. Avoid trick endings that cheat; the turn must feel earned and inevitable in hindsight.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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