Stop Building Chatbots: Why We Switched to Prompt-Oriented Programming (POP)

说明与用途

使用严格的 JSON 模式将 Markdown 规范转换为 Kanban 看板，消除人工录入，实现确定性输出。

问题

Using open‑ended LLM prompts to generate database mutations caused hallucinated JSON and inconsistent data, breaking application state.

结果

A 10‑page spec is converted into a fully mapped Kanban board in under 15 seconds, eliminating manual data entry and ensuring deterministic output.

工作流

• 1. Upload raw Markdown spec to backend
• 2. Pass spec to Gemini API with a system instruction and JSON schema definition
• 3. Gemini returns a JSON array of task objects
• 4. Backend validates array against database schema
• 5. Bulk create Kanban tickets
• 6. Board is fully populated without manual entry

证据

By wrapping the LLM in these strict POP constraints, the output became completely deterministic.

来源

In under 15 seconds, a raw Markdown document is translated into a fully mapped, assignable Kanban board without a single manual data entry step.

来源