On team memory for AI
Notes on company memory, AI-agent workflows and the conversations through which teams think, decide and learn.
4 min read
Compounding collective intelligence: why AI-native teams get smarter over time
Compounding collective intelligence is what happens when a team's AI memory accumulates instead of resetting: every session adds to a shared brain, so the team gets sharper each week.
5 min read
Per-tool AI memory vs a shared team memory layer
Per-tool AI memory is private to one user and one tool; a shared team memory layer spans every tool and teammate. Here is when each matters and why teams need the layer.
5 min read
How engineering teams avoid context loss between AI sessions
Engineering teams avoid context loss between AI sessions by capturing each session into a shared memory layer that the next session recalls automatically, across tools and teammates.