Backend Engineer Hiring Assignment

This is a backend service for lead qualification, built with Flask and integrated with the OpenAI API.

Setup

1. Clone the repository:

   git clone [https://github.com/your-username/your-repo.git](https://github.com/your-username/your-repo.git)
   cd your-repo

2. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

4. Configure API Key: Create a .env file in the project root and add your OpenAI API key:

   OPENAI_API_KEY=your_api_key_here
   

5. Run the application:

   flask run

   The server will run on http://127.0.0.1:5000.

API Usage Examples

You can use curl or a tool like Postman/Insomnia to interact with the API.

1. Set Product/Offer Details

POST /offer

This endpoint accepts a JSON payload describing the product.

curl -X POST [http://127.0.0.1:5000/offer](http://127.0.0.1:5000/offer) \
-H "Content-Type: application/json" \
-d '{"name": "AI Outreach Automation", "value_props": ["24/7 outreach", "6x more meetings"], "ideal_use_cases": ["B2B SaaS mid-market"]}'