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ProposeFlow
An AI-powered object generation service that treats LLM output as proposals requiring human approval before reaching your database. Users describe what they need in natural language, review the structured result, and approve, edit, or reject with feedback — closing the gap between LLM capability and production data quality.
The Story
LLMs are powerful but imperfect — they hallucinate, miss context, and make mistakes. I built ProposeFlow to solve this by adding a human checkpoint between AI generation and your database. Developers define a schema, users type plain English, and the system proposes a structured object for review. If rejected, AI regenerates based on the feedback. The result is AI-generated content that users can actually trust.