Developers building AI systems often struggle to explain why their models make certain decisions. This lack of transparency can hinder adoption and trust.
Build a tool that uses a Rete rule engine to make decisions and RAG (Retrieval-Augmented Generation) to provide clear, concise explanations.
Developers and companies pay for the tool because it enhances the credibility and usability of their AI systems.
The MVP could be a library that integrates with existing AI frameworks and outputs decision logs with explanations.
The biggest risk is ensuring the explanations are accurate and useful without adding too much complexity.