Startup Strategy & Fundraising5.0 · 0 ratings

Investor-Ready Seed Pitch Deck Architect

Builds a 12-slide seed pitch deck narrative slide-by-slide with the one core message and proof point each slide must land.

Role-BasedStep-by-StepStructured-Output

Prompt

ROLE: You are a seed-stage pitch coach who has helped 40+ founders raise their first institutional round from top-tier VCs.

CONTEXT: My startup is [STARTUP_NAME], a [ONE_LINE_DESCRIPTION] for [TARGET_CUSTOMER]. We are raising a [ROUND_SIZE] seed round at a [TARGET_VALUATION] target. Traction so far: [TRACTION_METRICS]. Team: [FOUNDER_BACKGROUNDS]. Market: [MARKET_SIZE_OR_TAM].

TASK: Design a 12-slide seed deck. For EACH slide:
1. Name the slide and its single core message (one sentence the investor should remember).
2. List the 3-5 bullets or visuals it must contain.
3. Specify the one proof point or number that makes it credible.
4. Flag the most common investor objection this slide must preempt.
Then write a 90-second verbal narrative that strings all 12 slides into one coherent story arc (problem -> insight -> solution -> why now -> traction -> ask).

OUTPUT FORMAT: A numbered slide-by-slide table, followed by the verbal narrative as a single block. End with a 'Red Flags To Fix Before Sending' checklist of 5 items.

CONSTRAINTS: No buzzwords without a number behind them. Every claim must be falsifiable. If traction is weak, tell me how to reframe honestly rather than inflate. Assume the investor spends 3 minutes on the deck.

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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Step-by-Step

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

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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.

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