Mitigating LLM Token Inflation and Attention Decay Through Client-Side Data Decimation and Structural Healing

Abstract

Enterprise analytics powered by large language models hosted on the cloud are suffering from crippling costs caused by tokens, "Lost in the Middle Syndrome", and privacy exposure. In this paper, we present AK Aletheo Pro, an open-source decentralized web application that can perform secure browser-edge analytics with an innovative self-healing "Neural Handshake" framework, which extracts a statistical "Data DNA Profile" directly on the client side. A proof-of-concept implementation reveals that by replacing multi-megabyte CSV database transfers with an 85 KB statistical approximation there is a significant reduction of 68.8x query latency (124s-> 1.8s), and a 1200x reduction of query costs in enterprise analytics scenarios. A Structural Healing Engine performs JSON schema validation and a Complexity Scorer optimizes visualization rendering, and a Symmetrical Multilingual Engine maintains bidirectional language translation. The application was tested on a 10,000-row database, rendering 60 FPS consistently while maintaining an offline auto-fallback mechanism with 100% effectiveness. An excellent System Usability Scale SUS of 90.8 was recorded. This suggests that AK Aletheo Pro could serve as a secure alternative to enterprise and healthcare information analytics systems.