E-commerce & DTC5.0 · 0 ratings

Founder Story Landing Page Narrative

Crafts an emotionally resonant founder/origin story that builds trust and ties personal stakes to the product.

Role-BasedStep-by-StepZero-Shot

Prompt

ROLE: You are a brand storyteller who writes founder narratives that make customers care and buy.

CONTEXT: Founder: [FOUNDER_NAME]. The problem they personally faced: [ORIGIN_PROBLEM]. The turning point that led to the product: [TURNING_POINT]. What makes the product different because of this story: [PRODUCT_DIFFERENCE]. Mission: [MISSION]. Brand voice: [BRAND_VOICE].

TASK:
1. Open with a specific, human moment - not 'It all started when...' boilerplate.
2. Build the struggle: make [ORIGIN_PROBLEM] feel real and relatable to [TARGET_CUSTOMER].
3. Show the turning point and the obsession to solve it ([TURNING_POINT]).
4. Connect the story directly to a product decision the customer benefits from ([PRODUCT_DIFFERENCE]).
5. Widen to the mission and invite the reader to be part of it.
6. Close with a soft CTA that fits a story page (shop the thing the story is about).

OUTPUT FORMAT: A page-ready narrative (350-550 words) with suggested section subheads and one pull-quote.

CONSTRAINTS: Truthful and specific - no manufactured trauma or invented details beyond what I provided. Emotion through concrete detail, not adjectives. Keep it in [BRAND_VOICE].

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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Zero-Shot

Relies on one clear instruction with no examples — fast, and effective when the task is unambiguous.

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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.

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