The $3.5B Confession: AI Models Don't Deploy Themselves
AWS and Microsoft committed $3.5B to embedded AI engineers. What the deployment gap means for enterprise agents, and why the fix is a context layer.
Long context windows are useful until they become expensive, inconsistent, and impossible to reason about. Checkpoints give agent systems a cleaner recovery model.