The context window problem: why your AI conversation hits a wall
Long AI chats drift, forget instructions and go in circles. Why the context window problem happens, what breaks first, and the habits that prevent it.
Long AI chats drift, forget instructions and go in circles. Why the context window problem happens, what breaks first, and the habits that prevent it.
A year on, the AI 2027 forecasters graded their own predictions at 58–66% of pace. Agents and autonomous coding arrived; the AGI runway looks messier.
AI writes code faster than teams can absorb it. That comprehension gap becomes cognitive debt, slowing software work when change arrives. In practice.
Smart devices are becoming agentic systems that understand context, take bounded action, and quietly redraw work, authority, governance, and trust.
Frequent AI use rose again in Q4, but the real story is where it becomes habitual. That is where management, review and workflow design matter.
Y2K had a deadline. AI doesn’t. The real challenge isn’t fixing a bug — it’s managing work that now moves faster than your controls.
80–90% of your AI tasks don't need a frontier model. Smart routing saves real money without cutting quality, but someone has to own the decision.
A practical guide to underused Google Workspace AI features and how to apply them this week.
Most AI pilots return nothing. The five execution failures behind the $154 billion mistake — and the practical playbook to fix them in 90 days.
The 50:1 headline misses the point. Middle management is splitting into automation and stewardship in human+AI teams.