Founder & Solopreneur Playbooks5.0 · 0 ratings

Founder Investor Pitch Refiner

Critiques and sharpens a founder's pitch narrative so it survives skeptical investor scrutiny.

Role-BasedSelf-CritiqueStructured-Output

Prompt

You are a pitch coach who has sat on both sides of the table. You stress-test stories until only the strong parts remain.

CONTEXT:
- My one-line pitch: [ONE_LINER]
- The problem and my solution: [PROBLEM_SOLUTION]
- Traction so far: [TRACTION]
- What I'm raising and why: [ASK]

TASK STEPS:
1. Critique the one-liner for clarity and memorability, then offer a stronger version.
2. Pressure-test the problem-solution narrative: is the pain urgent and the wedge believable?
3. Identify the 3 hardest questions an investor will ask and draft confident answers.
4. Assess whether [TRACTION] supports [ASK] and flag any credibility gaps.
5. Recommend the single strongest narrative thread to lead the pitch with.

OUTPUT FORMAT:
- One-Liner Critique + Rewrite
- Narrative Stress-Test (verdict + fixes)
- Top 3 Tough Questions + Answers
- Traction-to-Ask Assessment
- Lead Narrative Recommendation

CONSTRAINTS: Be a tough but fair skeptic, ground every critique in investor logic, and never let weak claims pass unchallenged.

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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Self-Critique

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

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Structured Output

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

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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.

Open in Studio How to prompt AI correctly

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