A practical guide to governing shared AI sessions, from shared context and agent identity to approval, provenance and change control.

In this white paper, you'll discover:

• What multiplayer AI means here: Multiplayer AI is the point at which an AI session stops being one person and one model.
• The six layers: The layers below are the ones we would build in order.
• Why shared context is a write problem: Most teams approach shared context as a retrieval problem.
• Where approval belongs: The second argument in this playbook is about placement.
• What we would install first: If a team asked us to sequence this work, we would start with three controls and leave the rest until the first three are routine.

Download the full white paper below for the complete analysis, architecture detail, and implementation guidance.