Context in Context: Why AI Tools Degrade Over Longer Work Sessions

AI assistants rely on fixed-size context windows to hold chat history, files, instructions, and tool data.

As long sessions grow, the window fills up and the model can lose earlier details, becoming less consistent.

This can make outputs feel generic or unreliable, especially in extended workflows.

The article argues teams should design prompts, files, and sessions with context limits in mind.