A shared starting point.
Create a project collection and invite the people you work with. Each participant connects their AI to the same memory, within their granted permissions.
Exchange context across independent people and agents to follow progress and continue your team’s work.
Imagine someone in product recording a decision with their AI. In the same collection, an engineer recalls that context with their own AI and continues the implementation. Each contribution stays available to people with project access.
Create a project collection and invite the people you work with. Each participant connects their AI to the same memory, within their granted permissions.
Instruct your AI to save relevant decisions, reasoning, and progress. Check what was recorded so another person can use that context.
Ask your AI to consult your teammates’ records before starting. If your bot supports routines, configure a recurring lookup and summary there.
Bring customer problems, priorities, and scope decisions into the work of the people who design and build.
Consult architecture decisions, dependencies, and constraints before the next implementation task.
Share the thinking behind flows, interactions, and interface criteria.
Keep evidence, interpretations, and open questions available to the people who research, prioritize, and build.
Give partners and outsourced teams the project context they need, with defined permissions.
Create a collection, invite the people you work with, and connect your AIs. What you learn today can guide tomorrow’s work.
Start free