Leading the Mixed Team: Manage People and AI Agents Without Losing Trust, Accountability, or Judgment

By Jason Kwon

The newest member of your team may not be human. Your responsibility still is.

AI agents can draft, analyze, research, monitor, and coordinate. They can also produce confident errors, hide weak reasoning behind polished output, and make responsibility feel strangely diffuse. Managers now face a new question: how do you lead work when people and machines both contribute to the result?

Leading the Mixed Team gives managers a practical operating model for human-agent collaboration.

You will learn how to:

Decide what agents may do, recommend, and never approve
Define ownership when several people and systems touch the work
Create verification standards without slowing everything down
Protect psychological safety during uneven AI adoption
Evaluate performance when output is machine-assisted
Redesign meetings, escalation paths, and decision records
Build a team that becomes faster without becoming less thoughtful

This book is written for the manager between strategy and reality-the person who must turn an executive directive into work that is useful, fair, safe, and trusted.

Lead the system. Protect the people. Keep judgment visible.

• Format: Paperback
• Language: English
• ISBN: B0HH2DQDMX
• ISBN13: 9798170496334
• Release Date: August 2026
• Publisher: Independently Published
• Length: 182 Pages
• Weight: 0.55 lbs.
• Dimensions: 0.4" x 6.0" x 9.0"