Key Points are: 1. Prompt Engineering: Design, test, and iterate on complex system instructions to ensure Gemini accurately categorizes lead quality based on unstructured data. 2. API Architecture: Configure and maintain the Google AI Studio API integration, including managing Temperature, Top-P, and Safety Settings to ensure consistent, structured (JSON) responses. 3. Quality Control: Establish a "ground truth" feedback loop to audit AI decisions and minimize false positives/negatives. 4. Data Enrichment: Implement logic to clean and format raw lead inputs before they reach the AI to improve processing accuracy.