banatie-landing/CLAUDE.md

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