69 lines
3.1 KiB
Markdown
69 lines
3.1 KiB
Markdown
# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Project Overview
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This is a promotional landing page project for **banatie.app** - an AI image generation wrapper service that simplifies Google's Nano Banana (Gemini 2.5 Flash Image) API. The project is in early development stage, focused on creating a marketing landing page to build an email waitlist for beta access.
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## Tech Stack
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- **Frontend**: Plain HTML with Tailwind CSS for styling
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- **Documentation**: Markdown files in `docs/` folder
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- **Development Approach**: 3-step AI-assisted framework:
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1. Deep research and analysis of the task
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2. Comprehensive plan preparation
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3. Detailed implementation strictly following the plan
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## Project Structure
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```
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/
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├── README.md # Project overview and task roadmap
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├── banatie-business-case.md # Detailed business case and product information
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├── docs/ # Documentation folder (to be created)
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│ ├── pitch.md # Marketing pitch (planned)
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│ ├── marketing.md # Marketing message and USP (planned)
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│ └── theme.md # Style guide and design guidelines (planned)
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└── src/ # Source code folder (to be created)
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└── index.html # Final production-ready landing page (planned)
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```
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## Development Workflow
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### Planned Development Phases
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1. **Marketing Research**: Create clean marketing pitch (`docs/pitch.md`)
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2. **Marketing Strategy**: Develop USP and features for landing page (`docs/marketing.md`)
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3. **Design System**: Create style guide with theme, colors, typography (`docs/theme.md`)
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4. **Design Iteration**: Refine and select final design approach
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5. **Landing Page**: Build production-ready HTML (`src/index.html`)
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6. **Polish**: Final tuning and optimization
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### Common Commands
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Since this is a static HTML project, no build tools are currently configured. Development commands will be:
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- **Preview**: Open `src/index.html` in browser for local preview
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- **Serve locally**: Use any static server (e.g., `python -m http.server` or `npx serve`)
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## Key Context
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- **Product**: Banatie is an AI image generation API wrapper that optimizes prompts for Google's Nano Banana
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- **Target Audience**: Developers, SaaS companies, and enterprise marketing teams
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- **Landing Goal**: Collect emails for beta waitlist, not immediate sales
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- **Design Focus**: Professional, trustworthy, emphasizing ease-of-use and technical benefits
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- **USP**: "The only service that makes Google's Nano Banana as easy to use as DALL-E"
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## Business Context
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- Market size: $60.8B AI image generation market (38.2% CAGR)
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- First-mover advantage in Nano Banana optimization space
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- Freemium SaaS model with API-first architecture
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- Primary value props: 10x faster integration, 40% better results, universal language support
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## File References
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- Business case and detailed product info: `banatie-business-case.md`
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- Development roadmap and tasks: `README.md`
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- All documentation should be created in `docs/` folder
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- Final HTML output goes in `src/index.html` |