When an AI assistant cannot fulfill a user's request due to limitations, it should capture the user's intent as a feature request for later review by the development team, rather than apologizing or hallucinating. This allows the AI to actively build the product roadmap based on real usage.
Built something in 10 minutes that changed how I think about AI apps in production for my Claude Code Assistant, called Neos. Most AI assistants hit a limitation and do one of two things: → Apologize and give up → Hallucinate a solution Both are wrong and very frustrating. Instead, the AI captures the intent... exactly what was needed, with full context, so the gap can be filled later. When I ask for something that doesn't exist yet (like "show me my email stats"), it responds: "I can't pull stats yet, but I've captured this as a feature request so it can be added." Next morning routine? The pending intent shows up for review. The AI isn't just failing gracefully. It's actively building the roadmap based on real usage. That's how apps should work now.