BuildShip AI Chatbot Backend

This project is a demo AI chatbot backend built using BuildShip, designed to demonstrate how conversational logic can be implemented and exposed through a clean, API-first workflow.

The system provides a REST API endpoint that accepts chat-style input from a user and processes it through a structured response layer that simulates AI-driven conversational behavior. The workflow returns normalized output including a chatbot reply, detected intent, and a confidence score, making it suitable for use in web applications, internal tools, or product prototypes.

The focus of this project is to showcase:

Building conversational backend workflows with BuildShip

API-based input and output design for chatbot systems

Structured response schemas for predictable AI outputs

Rapid prototyping of AI-style services without heavy infrastructure

This workflow is intentionally implemented as a demo / proof-of-concept, prioritizing clarity, structure, and reusability over production integrations. It reflects a typical chatbot backend architecture while remaining lightweight and easy to extend for real-world use cases such as customer support, onboarding assistants, or internal knowledge bots.