📋 ai-cost-projection-app

An interactive cost calculation and forecasting tool designed to help developers, teams, and enterprises estimate, simulate, and optimize their token-based spending. Built natively around variable AI model token structures, cache pricing matrices, and API usage variables, this application takes the guesswork out of usage-based pricing.

✨ Features

• Multi-Model Support: Compare projections across standard AI models or custom LLM token profiles.
• Token Tier Architecture: Granular input for Input Tokens, Cache Write/Read Tokens, and Output Tokens to mimic real-world usage patterns.
• Dynamic Growth Forecasting: Project daily, monthly, and yearly infrastructure costs based on compounding traffic or monthly active users (MAUs).
• Interactive Visualizations: High-quality charts mapping cost thresholds, fixed subscription tiers vs. usage-based overages, and cost-per-request tracking.
• Scenario Simulation: Instantly switch between "Hobby", "Pro", and "Enterprise" base plan profiles to identify exactly when it's optimal to upgrade.

🚀 Tech Stack

• Framework: Next.js (App Router)
• UI & Styling: Tailwind CSS & shadcn/ui
• Charts & Visuals: Recharts
• Deployment Platform: Vercel

🛠️ Local Development Setup

Follow these steps to spin up the application locally on your machine.

Prerequisites

Ensure you have the following installed:

• Node.js (v18+ recommended)
• npm, pnpm, or yarn

Installation

1. Clone the repository:

git clone https://github.com/your-username/ai-cost-projection-app.git cd ai-cost-projection-app

2. **Install dependencies:**
   ```bash
npm install
# or
pnpm install
# or
yarn install

3. Run the development server:

npm run dev

or

pnpm dev

or

yarn dev

4. **Open the browser:**
   Open [http://localhost:3000](http://localhost:3000) with your browser to view the interactive dashboard.

---

## 📖 How It Works

1. **Configure Model Metrics:** Input specific per-million token costs ($) for inputs, cache hits/misses, and outputs.
2. **Define Usage Benchmarks:** Provide average tokens consumed per user session or per API query.
3. **Scale the Traffic:** Use the traffic sliders or input fields to adjust daily or monthly request volumes.
4. **Analyze Data Output:** Review the automatically generated graphs to pinpoint your monthly spending breaks, serverless execution limits, and credit exhaustion thresholds.

---

## 🌐 Deploying to Vercel

The easiest way to host this application is to use the Vercel Platform. 

Deploy directly via the Vercel CLI:

```bash
npm install -g vercel
vercel

Alternatively, you can connect your forked GitHub repository to Vercel for automatic continuous deployment (CD) on every git push.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.