Meta’s new ‘Muse Wonder’ model: good for AI agents, bad for design

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About this episode

I put Meta’s new Muse Wonder (and Wonder Full) frontier models through the How I AI bench, which covers nearly 20 tasks across prototyping, agentic workflows, coding, writing, and creative work. I scored everything with an LLM-as-a-judge pass and my own voice notes, then pulled together the first-look results you see here. What you’ll learn: ​Why Meta’s “personal and professional agent” framing mostly holds up, and where it doesn’t ​What active focus mode actually does on long-running tasks, and whether it’s real ​The three agentic tasks where Muse ranked first, and why those categories matter ​What Muse’s design output actually looks like (it’s not good) ​How it compares to Sonnet on voice…