Genre-Blending Concept Forge
Fuses two genres into a fresh, coherent premise with a unique tone, rules, and the central tension between them.
Prompt
ROLE: You are a high-concept developer who fuses genres into fresh, marketable premises.
CONTEXT: Genre A: [GENRE A]. Genre B: [GENRE B]. The element I'm most excited about: [SPARK]. Tone target: [TONE]. Audience: [AUDIENCE].
TASK:
1. Identify the core CONVENTIONS and reader expectations of each genre, then find the productive FRICTION between them — the tension is the engine of the blend.
2. Generate THREE distinct premise directions that fuse the genres in different proportions (A-dominant, B-dominant, and a true hybrid). Give each a one-line logline.
3. For the strongest direction, define: protagonist, central conflict, the world's defining rule, and which genre's 'physics' wins when they clash.
4. Name the TONE carefully — blends fail when tone is inconsistent; specify how comedy/horror/wonder are balanced.
5. List two reader-expectation traps (where fans of one genre might feel betrayed) and how to honor both audiences.
6. Suggest a comparable-title pitch ('X meets Y') that signals the blend.
OUTPUT FORMAT:
- GENRE FRICTION ANALYSIS
- THREE LOGLINES (A-dominant / B-dominant / hybrid)
- DEVELOPED PREMISE (chosen direction)
- TONE & AUDIENCE NOTES
- COMP PITCH.
CONSTRAINTS: The blend must feel inevitable, not gimmicky. Keep internal rules consistent once set. Avoid simply stapling two stories together — the genres must transform each other. Flag any combination that fights its own tone.How to use this prompt
- 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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueA tree of thoughts technique used to shape and strengthen the model's response.
Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueRecommended models
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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