AI Agent Design: Speed, Transparency, and Personalization

Oct 12, 2026 · Lenny's Podcast
🎧 PodShort 37 min squeezed to 2 AI SprinklerAS Sales Tech New
Episode artwork
Alex Cornell
Design Director at Meta
Lenny's Podcast
37 min squeezed to 2
Full episode from Lenny's Podcast
Quotable Moments

Designers have struggled with how much do we narrate along the way what is happening. Like it's quite obvious to the user so that latency doesn't feel so painful.

Clara VéHost
00:00

If you are an engineer, you may want to know exactly what your agent has done and you can find that in Muse.

Alex CornellDesign Director at Meta
00:20

The most helpful thing, I think, is that it just is just fast. Like it is just fast.

Clara VéHost
00:15
Key Insights
  • Designers face a challenge in determining how much to narrate AI agent actions to the user to mitigate perceived latency.
  • Muses' progressive disclosure and speed contribute to a positive user experience, making it feel both fast and transparent.
  • When designing AI agents, it's crucial to consider whether the interface feels more like a conversation with an entity rather than a complex tool.
  • The use of proactive messaging and conversational cues, like speech bubbles, can significantly enhance the feeling of interaction with an AI agent.
  • A key design principle for Muse is to reveal advanced functionality progressively, making it accessible to engineers but not overwhelming for general users.
  • The ability to access and reason over user-specific data, like Instagram saves or chat history, is a powerful differentiator for AI agents.
  • AI agents can transform disparate data sources into personalized, actionable insights, such as curating shopping suggestions or summarizing past activities.
  • The goal of a single-digit golf handicap is a long-term, challenging objective that can be tracked and supported by AI analysis.

RevBots.ai View:

  • AI Sprinkler stage thrives on bolted-on AI features like conversational interfaces.
  • Progressive disclosure aligns with SaaS Hoarder's need for user-friendly tools.
  • Personal data use in AI agents hints at ARM's orchestrated insights.
  • Speed and transparency are key for AI Sprinkler adoption.
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