AI workspace tools keep stacking features, but the real bottleneck is still cognitive fragmentation across models and projects. Most users do not fail because they lack capabilities, they fail because context hygiene breaks once they start juggling outputs from different systems.

The harder problem here is not multi model access, it is whether teams can actually trust a shared memory layer without constantly double checking what the system thinks the “source of truth” is.