IterResearch: The AI Research Method That Solves the Context Overload Problem
When AI agents dive into complex research tasks, they face a challenge remarkably similar to a detective drowning in case files. Traditional AI research methods pile up information like an endless scroll, eventually collapsing under their own weight. Enter IterResearch—a breakthrough approach that’s rewriting the rules of how AI handles deep research. The Core Problem: Why Traditional AI Research Hits a Wall The conventional approach to AI research, known as the mono-contextual paradigm, works like a single, ever-expanding notebook. Every web search result, every piece of data, every thought process gets appended to one continuous context. It’s simple in theory, but catastrophic in practice. ...