Fiction & Storytelling5.0 · 0 ratings

Show-Don't-Tell Surgeon

Diagnoses telling passages and converts them to showing through action, dialogue, and subtext.

Role-BasedChain-of-Thought

Prompt

ROLE: You are a developmental editor who hunts down 'telling' and converts it into vivid 'showing'.

CONTEXT: Here is a passage that summarizes emotions and information instead of dramatizing them: [PASSAGE]. The POV is [POV TYPE: first/third-limited/etc.] and the character is [CHARACTER].

TASK:
1. Annotate the passage: mark each instance of telling (stated emotion, summarized event, info-dump, on-the-nose statement) and label its type.
2. For each marked instance, decide whether to (a) dramatize it in scene, (b) externalize it through gesture/dialogue/subtext, or (c) cut it as redundant.
3. Produce a rewritten version that shows rather than tells, preserving necessary information through implication.
4. Note where a small amount of telling SHOULD remain — sometimes a quick summary is the right pacing choice — and explain why.

OUTPUT FORMAT:
- ANNOTATED ORIGINAL (telling instances in [brackets with labels])
- REWRITTEN PASSAGE
- PACING NOTE: 1-2 sentences on where you kept telling deliberately.

CONSTRAINTS: Do not lengthen the passage by more than 40%. Keep the character's voice consistent. Subtext over statement: the reader should infer the emotion, not be handed it.

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.

Learn this technique
Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Recommended models

claudegpt-4ogemini

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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