AI agents are not just for developers. They are personal operating systems for your professional and personal life. In this session, Ken shares what it actually looks like to live and work with a personal AI agent — from morning briefs to travel ops to speaking pipeline automation — and provides a practical framework you can start deploying the same week.
Everyone talks about AI. Fewer people show what it looks like to actually live with one.
In this session, Ken shares his real-world deployment of a personal AI agent that runs across his work, speaking career, and personal life. This is not a demo of ChatGPT prompts. This is an operating model — built incrementally over time — that handles morning briefings, calendar privacy bridges, travel logistics, speaking pipeline automation, secure vault retrieval, relationship nudges, and nightly content creation while he sleeps.
The session covers a four-stage framework: Build (what your agent knows), Trust (the autonomy ramp), Delegate (what to hand off first), and Compound (where the real leverage comes from).
Attendees will see live or recorded demonstrations of real workflows, including:
We also cover safety and trust design — how to define what your agent can do autonomously versus what requires your approval — and how to build a context-rich memory system that makes the agent genuinely useful over time.
Outcomes:
Note: This talk is best when delivered with live demonstrations. Ken runs this system daily and can demo real workflows in real time. No slides required for the demo sections — the agent speaks for itself.