Show HN: A seed prompt that bootstraps a custom knowledge-base system

A new tool named the "Seed Prompt System Builder" has been introduced, designed to help users create customizable knowledge-base systems through a single prompt. This system guides an AI agent to interview the user, propose a project structure, and build a structured Markdown knowledge base, complete with a Python-generated static HTML site. Users are expected to start in a new empty directory to avoid mixing existing files with the generated system, which includes features such as lesson tracking, quiz logs, and artifact iteration capabilities.

This development is significant for the AI/ML community as it enhances the interactions between users and AI agents, allowing for better structured learning and project management within complex domains. The system not only manages topics and lessons but also encourages a disciplined approach to project iteration and knowledge retention. The AI agent employs a four-phase process, including interviews and structured output generation, making it a valuable resource for users who aspire to build a comprehensive record of their learning and projects systematically.