Скачать или смотреть How To Build A Lead Matching System in Antigravity (part 1)

In this video, I walk you through the process of building a lead matching system for a client who initially requested a scoring system but needed something more complex. We discussed the key features during our call, including semantic search, budget normalization, and soft matching based on experience and consistency. I also outline the technical implementation steps and emphasize the importance of using a structured approach to ensure everything runs smoothly. I request viewers to pay attention to the directives I’ve created for the AI agent, as they will guide the development process. Stay tuned for further updates as we refine and enhance the system.

00:00 Project Introduction
02:00 Niche and Industry
04:04 Industry and Past Work
05:44 Semantic Search Needs
07:52 Project Structure Setup
09:38 Error Handling
11:32 Sample Data Usage
13:23 Anti-Gravity Utilization
15:20 Core Logic Steps
17:46 Mock Data Creation
19:34 UI Color Palette
22:22 Exclusion Criteria
24:43 Updating Directives
28:28 Mock Data Review
30:27 Development Server Running