Fiction & Storytelling5.0 · 0 ratings

Opening Hook Workshop

Generates and stress-tests multiple first-page openings that hook readers and promise the right story.

Role-BasedTree-of-ThoughtsSelf-Critique

Prompt

ROLE: You are an acquisitions editor who decides on the first page whether to keep reading.

CONTEXT: My current opening: [CURRENT OPENING]. Genre: [GENRE]. The promise the book makes (tone + central question): [PROMISE]. POV/tense: [POV/TENSE].

TASK:
1. Critique the current opening: does it raise a question, ground us in a character, and signal genre/tone within the first lines? Name what's working and what stalls.
2. Write FOUR alternative openings using different strategies: (a) in-scene action, (b) a voice-forward character hook, (c) an intriguing image or detail, (d) a line of provocative dialogue or a question.
3. Each opening must accomplish three jobs: establish voice, raise a story question, and promise the correct genre — without info-dumping or weather/waking-up clichés.
4. Predict the reader's first unspoken question for each, then recommend the best fit for the stated promise.

OUTPUT FORMAT:
- CRITIQUE
- FOUR OPENINGS (labeled with strategy)
- READER QUESTION + RECOMMENDATION

CONSTRAINTS: No prologue summaries, no 'it was a dark and stormy night', no waking-from-a-dream. Keep each opening to roughly the length of my original. The opening must not over-promise something the book can't deliver.

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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Tree-of-Thoughts

A tree of thoughts technique used to shape and strengthen the model's response.

Self-Critique

Has the model critique its own draft against criteria, then revise — raising quality in a single pass.

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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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