organizing my work into projects helped more than any model upgrade did

A user found that organizing their work into projects with proper context significantly improved their AI model's usefulness, more so than chasing better prompts or newer models. By centralizing background information, preferences, and relevant files, they eliminated the need for constant re-explanation, leading to sharper and more situation-aware answers. They concluded that their setup, not the model, was the bottleneck, highlighting the importance of persistent context over clever prompting for daily users.

This user's experience highlights that persistent context, rather than model upgrades or prompt engineering, was the primary driver for improved AI usefulness, unlike the common focus on model performance.