Build spec for a 14-day launch app that validates an idea, generates a personalized daily playbook of templates and tracks execution with decision trees.
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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.构建一个名为“零到一”的单人创始人发布系统 —— 一个从创意到获得首位付费客户的结构化14天系统。
核心功能：
- 创意输入：用户输入他们的创意、目标客户和预期定价。{{llm_api}} 通过提出3个澄清性问题来验证输入内容 —— 在生成任何模板之前强制明确细节
- 个性化执行手册：包含14天的日程安排，每一天都有一项具体任务、一个定制模板和一个成功指标。所有模板均由 {{llm_api}} 基于用户的特定创意和客户生成 —— 非通用模板。第1天：问题验证脚本。第3天：落地页文案。第5天：外展邮件。第7天：客户访谈指南。第10天：销售对话框架。第14天：复盘模板
- 每日执行日志：每天用户标记任务完成，并回答：“发生了什么？”以及“如果未完成，具体阻碍是什么？” —— 两个字段，各150字符
- 决策树：针对8个最常见卡点的“如果-那么”式指导（例如“无人回复我的外展 → 这里有3个可能原因及每种的解决方案”）。以交互式分支结构呈现，而非大段文字
- 发布准备度评分：基于每日任务完成情况、已发送外展数量和已进行对话次数的综合评分 —— 以0–100分显示，每日更新
- 发布后复盘：第14天提供引导式反思模板 —— 什么有效、什么失败、接下来14天应聚焦什么。AI生成一页总结报告
技术栈：React，{{llm_api}} 用于所有模板生成和决策树内容，localStorage。高能量设计 —— 每日进度始终突出展示