Building GHOST: An AI-Driven Engineering Success Story

GHOST is a high-precision GPS-based trajectory tracking platform built from scratch to support large-scale automated data collection. Its development demonstrates a successful, fully AI-driven approach combining agentic coding, spec-driven development, and coordinated AI agent teams. Central to this approach is “feedback-guided agentic team simulation,” an original method in which agents’ system prompts implement a feedback mechanism inspired by proportional–integral (PI) control to maintain alignment with the specification and reduce hallucinations. Throughout development, average cost per request was continuously tracked as a key indicator of AI cost efficiency. The project illustrates how explicit specifications, structured agent collaboration, and continuous measurement can turn AI-assisted development into a disciplined engineering process.