Product updates, engineering deep-dives, and how teams are turning their context into software that runs itself.
A five hundred seat AI rollout can look successful and still plateau. The issue is not training - it is the missing shared context layer underneath.
Companies do not need another rip-and-replace AI project. They need a context layer that makes the tools they already run legible to AI.
The demo always lands. Three months later, nobody uses it. Why enterprise AI stalls after the pilot - and the context layer that makes it compound.
For decades, software has been something you operate. A quiet shift is underway - software that works alongside you, adapts to how your team really works, and gets better on its own.
