Beyond expert users: agents should help users construct preferences, not just elicit them

1. 1Identify areas where users lack domain knowledge
2. 2Design agents that can provide relevant domain information
3. 3Implement a feedback loop to refine user preferences
4. 4Test the agent's ability to construct user preferences
5. 5Refine the agent's performance based on user feedback

Product managers and AI engineers can benefit from this approach to design more effective and user-friendly AI-powered systems, as it allows users to make informed decisions and provides a better understanding of their needs

💡 AI agents should focus on helping users construct preferences, rather than just eliciting existing ones, to provide more effective support and decision-making

🤖 AI agents can help users construct preferences by providing domain knowledge, improving user experience and decision-making 💡