Meta Muse 设计：让 AI 像聊天而非应用
做法与步骤
- 选择像消息应用而非 AI 应用：Muse 的交互设计模仿日常聊天，降低使用门槛，让用户感觉是在与人对话而非操作工具。
- 三层状态系统：通过不同层级的状态显示，同时满足技术专家和普通用户对 AI 运行状态的理解需求，避免信息过载或不足。
- 生成式 UI 与个性化：在已发布的消费产品中实现生成式界面，根据用户数据动态生成内容，如将 Instagram 收藏转化为购物目录。
- 利用连接器整合视觉数据：通过 Instagram 和 Pinterest 连接器，Muse 能访问用户的视觉收藏，生成个性化推荐和购物体验。
- 主聊天与侧聊天的架构：区分主聊天和侧聊天，主聊天用于核心任务，侧聊天处理分支对话，但架构仍有不足。
- 设计师的心态转变：当输出永远不是像素级完美时，设计师需要适应 AI 生成内容的不确定性，并学会有效的提示策略。
对实践的启示
对于构建 AI 应用的从业者，Muse 的设计表明：让 AI 交互更像自然对话而非传统应用，能显著提升用户接受度。同时，生成式 UI 和个性化数据整合是消费级 AI 的关键差异化因素，但需平衡技术复杂度与用户体验。
作者承认的反方与局限
作者提到主聊天与侧聊天的架构仍存在不足，暗示当前设计并非完美，可能在某些场景下限制用户体验。
原文摘引
Why Alex built Muse to feel like messaging, not an AI app
How Muse’s three-layer status system accommodates different levels of technical expertise
What generative UI actually means in a shipped consumer product
▸ 展开原文全文（44 段，抓取自 Lenny's Newsletter）
Alex Cornell is a design director at Meta, where he leads design on Muse, Meta’s consumer AI agent. He came to the role with a long background in software product design, including time as a founder, and has spent the past year building one of the most thoughtful agent interfaces in the consumer AI space. Muse ships with a custom avatar, a three-layer status display, a personalized ideas surface, and a generative feed. Alex has been sharing the reasoning behind each of those design decisions publicly on Threads.
Listen or watch on YouTube, Spotify, or Apple Podcasts
What you’ll learn:
- Why Alex built Muse to feel like messaging, not an AI app
- How Muse’s three-layer status system accommodates different levels of technical expertise
- What generative UI actually means in a shipped consumer product
- How Alex turned years of forgotten Instagram saves into a daily shopping catalog
- Why his mom apologized to her Muse, and what it means for AI design
- How he uses Muse to track his golf game, shot by shot, as he works toward a single-digit handicap
- The mindset shift designers need when the output is never pixel-perfect
- When to use the main chat versus a side chat, and where the architecture still falls short
Brought to you by:
WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more
In this episode, we cover:
(00:00) Welcome and guest intro
(02:50) Designing Muse
(05:33) Choosing which primitives to surface: characters, ideas, feed
(08:50) Speed of model and response times
(11:01) Generative UI and personalization
(14:25) SkyMall demo: Instagram saves turned into a shopping catalog
(17:16) Shopping, monitoring, and price alerts with Muse
(19:07) Instagram and Pinterest connectors for visual data
(21:40) Golf use case: round recaps, shot data, practice breakdowns
(25:28) Main chat versus side chats
(27:56) Old blog turned morning podcast: 20 years of posts via the Wayback Machine
(29:39) Chess dashboard: game analysis with a snarky coach
(30:59) What designers need to learn for AI, and what still works
(34:33) Prompting strategy when Muse is being obstinate
(36:31) Where to find Alex
Tools referenced:
• Meta Muse: https://muse.ai
Other references:
• The Wayback Machine: https://web.archive.org
• Instagram: https://www.instagram.com
• Pinterest: https://www.pinterest.com
• Chess.com: https://www.chess.com
• SkyMall/Sharper Image aesthetic: https://www.skymall.com
Where to find Alex Cornell:
LinkedIn: linkedin.com/in/alex-cornell-5449a99
Where to find Claire Vo:
ChatPRD: https://www.chatprd.ai/
Website: https://clairevo.com/
LinkedIn: https://www.linkedin.com/in/clairevo/
Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].