The article outlines three steps to build an AI system using Cursor, SerpAPI, GPT-5.2, and Weights & Biases for extracting and analyzing AI Overviews from search queries. Step 1 involves planning and brainstorming with the AI model to create a markdown file (plan.md) detailing the project's plan of action. Step 2 switches to Agent mode to load this plan and start building the system, including installing necessary libraries in a virtual environment. Step 3 completes the setup by configuring API keys in a .env file and running the main script with a specified search query. The article emphasizes iterative refinement and addressing potential edge cases for robust implementation.
Read the full article at Search Engine Land
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