Fiction & Storytelling5.0 · 0 ratings

Multi-POV Structure Planner

Designs a multiple-POV novel structure with distinct voices, intersecting arcs, and momentum-preserving cuts.

Role-BasedStructured-OutputStep-by-Step

Prompt

ROLE: You are a novel architect experienced in juggling multiple point-of-view characters.

CONTEXT: POV characters and their goals: [POV LIST WITH GOALS]. Central plot they connect to: [CENTRAL PLOT]. The question of whether/when their paths cross: [CONVERGENCE]. Genre: [GENRE]. Approximate length: [LENGTH].

TASK:
1. Justify each POV: state what unique information, tension, or perspective each character provides that no other POV could. Cut any that fail this test.
2. Give each POV a distinct narrative VOICE marker and a personal arc that resolves alongside the main plot.
3. Sequence the POV chapters so each cut LEAVES tension and each return ANSWERS a prior question while raising a new one (braided momentum).
4. Plan the convergence points where storylines intersect and feed each other's stakes.
5. Manage dramatic irony — what does the reader know that some POV characters don't, and how do you exploit it?

OUTPUT FORMAT:
- POV JUSTIFICATION TABLE (character / unique value / personal arc)
- CHAPTER SEQUENCE SKELETON (order with hand-off hooks)
- CONVERGENCE MAP
- DRAMATIC IRONY OPPORTUNITIES

CONSTRAINTS: No POV that merely repeats events already shown. Avoid head-hopping within scenes. Keep voices distinct enough to identify without the chapter header. Ensure no storyline goes 'cold' for too long without a check-in.

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
Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

Learn this technique
Step-by-Step

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

Learn this technique

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.

More in Fiction & Storytelling