01
The Problem
LLMs have context limits, and most tools either blindly truncate documents or stuff everything in, leading to lost information, degraded response quality, and unpredictable behavior in production.
02
What It Does
A 4-tier pipeline that classifies documents by token size and routes each to the right strategy: direct injection, smart trimming, semantic chunking, or full RAG retrieval, applied automatically.
03
Why I Built This
Context management is one of the most underrated problems in production AI. I wanted to build a principled system that makes the right tradeoff automatically rather than leaving it to the developer every time.