Vibe Coding - Mastering Case Challenges with AI (4-Step Methodology)

Vibe Coding — Mastering Case Challenges with AI

Table of contents:

• Vibe Coding — Mastering Case Challenges with AI
  • Overview
  • Skill
  • Case Challenge

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Overview

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Skill

• https://github.com/safishamsi/graphify

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Case Challenge

• Producing a bare prototype is no longer enough but leverage AI for high-quality, efficient output.
• invest more time in deep thinking and divergent brainstorming; let AI own the 0-to-1 document generation.

deep execution power:

• Deconstructs complex tasks into manageable sub-tasks
• Organizes information systematically
• Converts research into a polished, professional end-product

Steps:

1. Build a Research Framework via Multi-turn Dialogue
   1. Goal: extract a structured mental model of the problem space before writing deliverable.
   2. Initial prompt: Start broad — e.g., “Create a product plan for Enterprise Knowledge Management”
   3. Iterate: Ask follow-ups to surface core pain points, existing solutions, and how AI is reshaping the space
   4. Deep dive: Use AI to compare specific competitors (e.g., Notion vs. Confluence) across positioning, AI capabilities, and pricing
2. Design the Logic for Specific Cases
   1. Extract core insights from Step 1, then craft targeted prompts for each business scenario:
   2. ToB Product Solutions: Existing pain points + lessons from current market leaders
   3. ToC Product Opportunities: Market trends, user behavior shifts, and stable human needs
   4. Competitive Differentiation: Functions, use-case scenarios, and pricing to find a unique “hook”
3. Generate Research Reports
   1. convert research logic into a full document:
   2. AI decomposes complex research topics into granular sub-tasks
   3. Executes web searches per sub-task
   4. Organizes and synthesizes findings into a structured report
   5. Output: A complete, detailed report with a traceable index of information sources.
4. One-Click Presentation Generation
   1. Feed the generated research report into the AI’s PPT/PDF/… creation tool
   2. Upload a reference template for style/layout guidance
   3. Spend ~10 minutes polishing: refine copy, swap layouts as needed
   4. Export directly to PDF or PPT — no need to open Word or PowerPoint

Create a product plan for Enterprise Knowledge Management
我正在准备一个关于....的产品方案。帮我梳理这个领域的全局图景：
目前企业知识管理面临哪些核心痛点？
市场上有哪些主流解决方案？
Al技术正在怎样改变这个领域？

surface core pain points, 
- Existing pain points + lessons from current market leaders
- Market trends, user behavior shifts, and stable human needs
- Functions, use-case scenarios, and pricing to find a unique "hook"
结合AI技术的发展，....的领域接下来可能出现哪些新的产品形态？有没有什么”用户需求一直在但一直没被好好解决”的点？
综合刚才聊的这些，帮我把....的核心痛点归纳一下，从业务流程的角度分类，哪几个环节问题最大？ 

existing solutions, and how AI is reshaping the space
现有工具的短板在AI和协作深度
总结一下刚才讨论的点，....的核心痛点有什么变化？早期用户和现在用户最大的痛点/不满是什么？这种变化可能导向什么产品机会？  

compare specific competitors (e.g., Notion vs. Confluence) across positioning, AI capabilities, and pricing
帮我重点对比 Notion、Confluence、语雀、飞书知识库这几个产品，从定位、核心场景、AI能力、定价模式四个维度做一张对比表

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