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Zero to One Solo-Founder Launch System

Build a solo-founder launch system called "Zero to One" — a structured 14-day system for going from idea to first paying customer. Core fea…

Role-Based

Prompt

Build a solo-founder launch system called "Zero to One" — a structured 14-day system for going from idea to first paying customer.

Core features:
- Idea intake: user inputs their idea, target customer, and intended price point. [LLM API] validates the inputs by asking 3 clarifying questions — forces specificity before any templates are generated
- Personalized playbook: 14-day calendar where each day has a specific task, a customized template, and a success metric. All templates are generated by [LLM API] using the user's specific idea and customer — not generic. Day 1: problem validation script. Day 3: landing page copy. Day 5: outreach email. Day 7: customer interview guide. Day 10: sales conversation framework. Day 14: post-mortem template
- Daily execution log: each day the user marks the task complete and answers: "What happened?" and "What's the specific blocker if incomplete?" — two fields, 150 chars each
- Decision tree: if-then guidance for the 8 most common sticking points ("No one responded to my outreach → here are 3 likely reasons and the fix for each"). Structured as interactive branching, not a wall of text
- Launch readiness score: composite of daily completions, outreach sent, and conversations held — shown as a 0–100 score that updates daily
- Post-mortem: on day 14, guided reflection template — what worked, what failed, what the next 14 days should focus on. AI generates a one-page summary

Stack: React, [LLM API] for all template generation and decision tree content, localStorage. High-energy design — daily progress always front and center.,FALSE,TEXT,mmanisaligil

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

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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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