Meta’s Muse AI agent: Designed for human conversation, not software interaction

The Gist

• Meta’s Muse AI agent focuses on human-like conversation design over traditional software interactions
• Progressive disclosure ensures Muse caters to casual users and engineers without clutter
• Muse’s fast performance eliminates the need for visible chain-of-thought reassurance

• AI agents should be designed for conversations with people, not interactions with software.
• Progressive disclosure is one of the most useful principles in AI product design.
• Visible chain-of-thought is often a workaround for latency, not a valuable feature.
• Generative UI works best when the structure stays fixed and the content changes.
• Instagram saves may be one of the most overlooked data sources for consumer AI.
• Designing non-deterministic systems requires a different relationship with craft.

• Design AI agents to mimic human conversation rather than software interaction.
• Implement progressive disclosure to cater to users with varying levels of technical expertise.
• Use generative UI with fixed structures and dynamic content to create a personalized yet stable experience.
• Explore overlooked data sources like Instagram saves for practical AI applications.