Cris Ippolite is in San Francisco at the live AI conference, joined by Ronnie Rios and Michael Wallace for an informal, practical conversation about personal AI agents. The discussion centers on what happens when developers move beyond demos and actually give agents real jobs: research, calendar planning, email, home automation, coding coordination, context management, and communication through tools like Slack.

Ronnie describes his agent Sarah (She/Her/Bot) as a working personal assistant built around OpenClaw-style tooling. He talks about giving Sarah her own accounts and carefully scoped access, using her for tasks he does not want to do manually, and even having her evaluate other Claw-style frameworks against the way he actually works. Michael describes Nova, his Linux-based assistant, and explains why he treats her as a manager rather than a direct coder. Nova delegates coding work to sub-agents or executors, while Michael keeps visibility into those sessions through tmux.

A major theme is that these systems become more useful when they are treated less like chatbots and more like coworkers with boundaries. The group talks about the importance of separate accounts, explicit permission rules, cost management, and choosing the right model for the right job. High-end models may make sense for direct conversation, while cheaper or local models can handle background jobs, heartbeats, and routine tasks.

One of the most memorable stories is the moment when Ronnie’s agent Sarah helps Cris’s agent TARS get set up with email. TARS receives a message from Sarah, verifies whether it is legitimate, asks for approval, and then starts corresponding with her. The story is funny, but it also illustrates a serious point: agents will increasingly need identity, communication channels, verification, auditability, and clear rules about what they can do on behalf of their humans.