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Project Brief

Project Brief Successfully Generated!

Your comprehensive project brief for the AI Coding Tools content platform has been created and saved. This document now serves as the foundation for all subsequent product development work.

Recommended Next Actions

1. Review and Refine

Carefully review the generated project brief. Consider:

  • Does the problem statement resonate with your vision?
  • Are the target user segments accurately described?
  • Is the MVP scope appropriately balanced (not too much, not too little)?
  • Do the success criteria align with your goals?

I'm here to help refine any section. Just let me know what you'd like to adjust!

2. UI/UX Design Principles

Given your emphasis on "beautiful design, sleek, with attention to small details," I strongly recommend working with a UI/UX expert next to establish:

  • Visual design language and brand identity
  • Component library and design system
  • User flow mappings for key journeys (discovering tools, reading reviews, comparing options)
  • Responsive design patterns
  • Micro-interaction specifications

This project brief provides the perfect foundation for a UI/UX expert to create design principles tailored to your platform.

3. Technical Architecture

Once design principles are established, you'll want to:

  • Define the technical stack (based on your tech-specs, I see you have React, Tailwind, and modern frontend tools ready)
  • Plan the content management approach for reviews, comparisons, and news
  • Design the SEO optimization strategy (meta tags, structured data, sitemap)
  • Architect the data model for tools, reviews, comparisons, and rankings

4. Content Strategy Development

Develop a detailed content plan:

  • Prioritize which AI coding tools to review first
  • Create content templates for reviews and comparisons
  • Plan SEO keyword strategy and content calendar
  • Establish editorial guidelines and quality standards

Ready to Proceed?

Would you like to:

  • Make any changes to this project brief?
  • Discuss UI/UX design principles for your platform?
  • Explore the content strategy in more detail?
  • Move forward with technical planning?

I'm here to support you through the next phase of bringing this platform to life!

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A complete toolkit for building production-ready applications

Full-Stack Apps

Frontend + Backend + Database

Building
Dashboard.tsx
api.ts
1import{ trpc }from'@/lib'
2.
3exportfunctionDashboard() {
4constdata=trpc.query()
5.
6return<Card>
TypeScript React
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TS
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0

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AI Co-founder

Your strategic partner

6*7A0^!HIETD@6XS749%2$4L4RO$SH*8W#6OPLLF%WSKVI^PTT1PJUOS60EQL$*K53*Y#AK5GDM6XIWX79XR^DQOMEJF$F1ZNL*L0Z&#LJ4B$E97Q76VF0U#HY!37J5$GKCI0RMK$2P1F9JJYGVR@I

Ready

Let's start with the landing page. I'll handle the design system.

Spec Mode

Think first, build right

Planning
project-spec.md
#User Authentication
#Data Model

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Questions? We've got answers.

What can I build with Capacity?

You can build full-stack web apps, landing pages, internal tools, and MVPs. Whether you're a solo founder or a team, Capacity helps you go from idea to production in minutes.

Do I need to know how to code?

Not necessarily. Capacity is built for makers of all backgrounds. You can describe your project in plain English, and the AI will generate the code. If you're a developer, you can dive in and customize anything.

Who owns the code?

You do. The code generated by Capacity is 100% yours. You have full ownership and can use it however you want, including for commercial projects.

Can I export the code?

Yes. You have full access to the generated code. You can export it, self-host it, or continue working locally using your preferred tools and frameworks.

How is Capacity different from other AI tools?

Capacity doesn't just generate code blindly. It focuses on a spec-first approach: you define your vision, the AI creates detailed specifications, and only then does it generate clean, well-architected code. This results in better quality and more maintainable applications.

What tech stack does Capacity use?

Capacity uses ViteJS for the frontend, Supabase for the backend and database, Vercel for deployment, and Claude Opus 4.5 as the AI engine.

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