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Muse review: The personal AI agent that gets consumer UX right

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Key takeaways

  • Muse is a highly well-designed, user-friendly personal AI agent built by Meta, prioritizing trust, aesthetics, and human-like interaction.
  • It offers practical features such as calendar management, goal tracking, personalized newsletters, and media generation, making it suitable for everyday personal and family use.
  • Muse's design includes animated avatars, step-by-step activity lineage, and transparent permission prompts, enhancing user trust and engagement.
  • While it excels in tasks like ticket purchasing and media creation, it still faces challenges with internet browsing accuracy, indicating areas for improvement.
  • The host recommends product designers and managers study Muse’s approach to primitives (tasks, ideas, goals) and user experience to inform their own AI agent designs.

Summary

Introduction to Muse and Overall Impressions

The episode begins with the host testing Meta's new personal AI agent, Muse. She shares her enthusiasm for its design, usability, and how it differentiates itself with a consumer-friendly approach. She highlights Muse’s capabilities including onboarding, goal setting, a family newsletter, browsing, shopping, and the animated avatar. Overall, she finds Muse to be the best-designed personal agent she has encountered, praising its delightful interface, trust-building permission system, and human-like tone.

Deep Dive into Muse's Features and User Experience

The host explores key features of Muse, such as onboarding, setting up personalized identities, and activity tracking. She emphasizes the agent’s aesthetic appeal, the activity lineage for transparency, and the thoughtful permission prompts. She details her user experience, including personalized calendar management, PDF newsletters, local news, and the 'Ideas' prompt library. She also discusses setting and tracking personal goals (water intake, sleep training) and the innovative avatar customization, praising how these design choices contribute to a human-first, trustful interaction.

Practical Tests and Limitations of Muse's Capabilities

The host tests Muse’s browsing during shopping for shoes and movie tickets. While the shoe shopping experience isn't as successful, buying tickets for a movie (The Odyssey) is smooth, showcasing Muse's strengths in transactional tasks. She notes the importance of the integrated Stripe link for payments. She also observes some shortcomings, like incorrect search results for browsing, indicating room for improvement in internet browsing and transaction reliability. Overall, she appreciates Muse's design for everyday personal and family use.

Unique and Delightful Design Elements

Throughout the episode, the host highlights Muse’s entertaining design features, such as animated avatars that change and perform tasks, the activity feed with step-by-step task lineage, and media generation like creating podcasts. These elements make Muse feel personable and engaging. She demonstrates its ability to generate media content, such as a custom podcast about AI news, which she finds surprisingly effective and high-quality.

Reflections, Usage Intentions, and Future Outlook

The host concludes her review by emphasizing Muse’s consumer-oriented design, trustworthiness, and aesthetic appeal. She plans to use Muse for wellness management, family organization, and local errands. She also considers exploring Facebook’s AI models due to the impressive artifact generation. She reflects on the importance of good product design in AI agents, noting Muse as a benchmark and encouraging product teams to learn from its strengths. The episode wraps up with a positive outlook on Muse's potential for everyday personal use.

Sponsors

  • Optimizely · Your AI agent orchestration platform for marketing and digital teams
  • OpenArt · An all-in-one AI creation platform for images, videos, music, audio, and more

Show notes

I spent a few hours putting Meta’s Muse, its new personal AI agent, through a real first-pass test: onboarding, calendar management, goal setting, a one-shot family morning newsletter, browser-based shopping, and the animated avatar that honestly surprised me.


What you’ll learn:

  1. Why Muse is the best-designed personal agent I’ve tested, and what specifically made it feel that way
  2. The one-shot family PDF Muse produced that Claude and Codex never quite nailed
  3. How Muse’s permission model works, and why it’s different from every other agent I’ve used
  4. Why I set up a sleep training goal in Muse, and what it revealed about agent tone
  5. The activity feed feature I immediately wished Codex and Claude Code had
  6. Where Muse failed, and what it says about the limits of this category right now
  7. The animated avatar decision that showed me what top-of-craft AI product design actually looks like

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Brought to you by:

Optimizely—Your AI agent orchestration platform for marketing and digital teams

OpenArt—An all-in-one AI creation platform for images, videos, music, audio, and more

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In this episode, we cover:

(00:00) What Muse is and who it’s actually built for

(04:41) Signing in and the onboarding flow

(07:16) The activity feed and its task lineage

(08:24) First real task: managing the family calendar and deleting soccer practice

(09:48) Requesting a morning newsletter PDF

(14:29) The personalized news feed and how I set it up

(16:05) The “Ideas” feature as an out-of-the-box prompt library

(17:10) Setting up personal goals (water, shoes, and sleep training)

(21:40) Library: documents, websites, images, videos, and podcasts

(23:11) Quick recap and what I love

(23:56) Activity feed design deep dive: tool calls and step-by-step lineage

(25:18) How Muse handles permissions

(26:12) The animated avatar: Polly becomes Slime, the teal dragon

(29:34) Browser use test: shopping for New Balance 9060s (not great)

(31:15) Browser use test 2: buying IMAX tickets for The Odyssey (much better)

(33:34) TL;DR and what I’ll actually use Muse for going forward

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Tools referenced:

• Muse: https://muse.ai/

• Stripe Link (payment method featured in Muse): https://link.com

• 1Password (future Muse integration mentioned): https://1password.com

• OpenClaw (Claire’s previous personal agent setup): https://openclaw.ai/

• Grok Bot (Grok-based agent from prior stack): https://x.ai/news/introducing-grok-bot

• Codex (OpenAI coding agent, comparison point): https://openai.com/codex

• NotebookLM (Google, comparison to Muse’s podcast generation): https://notebooklm.google.com

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Where to find Claire Vo:

ChatPRD: https://www.chatprd.ai/

Website: https://clairevo.com/

LinkedIn: https://www.linkedin.com/in/clairevo/

X: https://x.com/clairevo

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Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].

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