Otto vs Muse - where the consumer AI agent lives

For the past two years, consumer AI has mostly meant a chat window: you ask, it answers, and the session ends when you close the tab. Useful, but it is not what most people imagine when they hear "AI assistant". They imagine something that works while they sleep, holds a role, and acts on their behalf without being prompted each time.

The gap between those two things is not a model problem. It is an operating model problem. An always-on agent needs somewhere to live, and the more interesting question is whose computer it lives on.

Two answers have appeared almost at once. Otto is a small dedicated computer, roughly the size of a deck of cards, that ships with the OpenClaw agent runtime pre-installed and stands up a working agent in about a minute (https://myotto.ai/). The intelligence still comes from cloud models, but the agent itself runs on your hardware, browses from your home network, holds its own email and phone identity, and sits behind spend controls you manage from an app.

Meta's Muse, launched in the US this week, answers the same question from the opposite direction. The agent lives in Meta's cloud on what Meta calls a Secure VM, connects into your email, calendar, payments, health apps and smart home, and is free for almost everything most people will ask of it.

That word "free" is doing a lot of work. Otto asks you to pay for hardware because the hardware is the business. Meta gives the computer away because the computer is not the business. A company that paid US$5 billion to settle FTC privacy charges in 2019, and agreed only last month to pay up to US$18 billion to resolve claims that it built Facebook and Instagram to hook children, is now offering an always-on agent with standing access to your life at no charge. The old line about free products still applies, but the exposure has changed category: a feed watches what you read, while an agent sees what you do, what you buy, who you write to and what you are trying to achieve.

Neither model is obviously wrong, and Meta's engineering may prove excellent. But as the race to own the consumer agent clearly starts, the price tag is the least interesting number in the offer. The questions worth asking are where the agent lives, what it can see, and whose interests that visibility serves.

#AIAgents #ConsumerAI #AIGovernance