# CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

## Project Overview

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.

## Tech Stack

- **Frontend**: Plain HTML with Tailwind CSS for styling
- **Documentation**: Markdown files in `docs/` folder
- **Development Approach**: 3-step AI-assisted framework:
  1. Deep research and analysis of the task
  2. Comprehensive plan preparation
  3. Detailed implementation strictly following the plan

## Project Structure

```
/
├── README.md                    # Project overview and task roadmap
├── banatie-business-case.md     # Detailed business case and product information
├── docs/                        # Documentation folder (to be created)
│   ├── pitch.md                # Marketing pitch (planned)
│   ├── marketing.md            # Marketing message and USP (planned)
│   └── theme.md                # Style guide and design guidelines (planned)
└── src/                        # Source code folder (to be created)
    └── index.html              # Final production-ready landing page (planned)
```

## Development Workflow

### Planned Development Phases
1. **Marketing Research**: Create clean marketing pitch (`docs/pitch.md`)
2. **Marketing Strategy**: Develop USP and features for landing page (`docs/marketing.md`)
3. **Design System**: Create style guide with theme, colors, typography (`docs/theme.md`)
4. **Design Iteration**: Refine and select final design approach
5. **Landing Page**: Build production-ready HTML (`src/index.html`)
6. **Polish**: Final tuning and optimization

### Common Commands

Since this is a static HTML project, no build tools are currently configured. Development commands will be:

- **Preview**: Open `src/index.html` in browser for local preview
- **Serve locally**: Use any static server (e.g., `python -m http.server` or `npx serve`)

## Key Context

- **Product**: Banatie is an AI image generation API wrapper that optimizes prompts for Google's Nano Banana
- **Target Audience**: Developers, SaaS companies, and enterprise marketing teams
- **Landing Goal**: Collect emails for beta waitlist, not immediate sales
- **Design Focus**: Professional, trustworthy, emphasizing ease-of-use and technical benefits
- **USP**: "The only service that makes Google's Nano Banana as easy to use as DALL-E"

## Business Context

- Market size: $60.8B AI image generation market (38.2% CAGR)
- First-mover advantage in Nano Banana optimization space
- Freemium SaaS model with API-first architecture
- Primary value props: 10x faster integration, 40% better results, universal language support

## File References

- Business case and detailed product info: `banatie-business-case.md`
- Development roadmap and tasks: `README.md`
- All documentation should be created in `docs/` folder
- Final HTML output goes in `src/index.html`