Deep Insight Cuts AI Context Tokens By Ninety-Five Percent

An open-source data analysis tool called Deep Insight uses a four-layer context setup to fix token limits. A two hundred thousand token window sounds huge until a real task burns through it in minutes. Complex reports eat over one hundred fifty thousand tokens across fifteen minutes. That causes mid-execution failures and higher costs under per-token pricing. The fix is a write-and-execute tool that cuts script-added tokens by about ninety-five percent. And loading skills on demand shrinks the system prompt by about ninety-seven percent. Each specialized agent gets its own separate context window. The Coder agent stays under twenty-five thousand tokens total.