Earlier this year, people from around the world started experimenting with OpenClaw and Hermes, two powerful personal AI agent systems. These tools became very popular and demonstrated that people want a lot more out of AI than chat or code.
Enter consumer-friendly personal AI agents like Meta’s Muse and ChatGPT’s Dots. Personal agents are magical because they take the annoying, repetitive work off your plate. The kinds of things they handle well include:
Recurring chores: Paying bills, renewing or cancelling subscriptions and shopping
End-to-end planning: Booking travel or a restaurant
Follow-up: Invoicing, staying in touch with business contacts and more
Safety: The part many aren’t thinking enough about
So far Meta’s Muse has been downloaded more than 4 million times. Many are freely sharing some of their most personal and sensitive data. Why? It’s all about convenience. Because people put a lot of trust in highly capable AI systems they’re willing to share more. But, they may not have a good understanding of what personal information is being collected, how it is being kept safe and who it is being shared with.
In this video you’ll learn about:
The rise of personal agents: How personal agents have been evolving from open source software packages to consumer-friendly tools
Why you should care about privacy: Why people give up privacy for convenience and what this means in the context of personal AI agents
Six questions to ask about any agent
How to stay safe while experiencing the magic of agents: A practical checklist you can follow to keep you safe and secure while benefiting from personal AI agents
Resources
This newsletter is part of the Doing AI Efficiently Operating System, built on five operational layers: Grasp, Discern, Ward, Execute, and Honor. This video is part of the Ward layer, which gives you knowledge, tools and software to guard against AI privacy and security risks.
Additional resources in the Ward layer include the AI Security Action Pack, which features 15 in-depth guides on AI security.
