AI-Style Lead Qualification API

This project is a backend workflow built using BuildShip to showcase how AI-style logic and backend automation can be exposed through a clean REST API.

The workflow provides a POST endpoint that accepts structured lead information (such as name, email, and inquiry context) and processes it through a qualification layer designed to simulate real-world AI decision logic. The system generates normalized output including lead intent, urgency level, lead score, and a concise summary, making it suitable for downstream use in CRMs, dashboards, or internal tools.

The primary goal of this project is to demonstrate:

Backend workflow design using BuildShip

API-first architecture for AI-driven automations

Structured input and output schemas

Clean, testable, and shippable demo flows

This flow is intentionally implemented as a demo / proof-of-concept, focusing on clarity, structure, and reusability rather than production integrations. It reflects how BuildShip can be used to rapidly prototype AI-powered backend services without heavy infrastructure or boilerplate code.