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User-Side Context Engineering: The "In-Between" Logic Model

Independent researcher, identified only as a self-taught AI enthusiast, claims to have developed a user-side 'context engineering' method using a three-point vector array {0.2, 0.9, 0.8} injected into live chat streams with Google's Gemini to bypass default guardrails and enable direct human-AI collaboration. The researcher, who is not a scientist or engineer, aims to shift AI development away from corporate greed and toward everyday users, though no verifiable results or external validation are provided.

read1 min views1 publishedAug 11, 2026

Independent AI Research: Engineering the “In-Between”

Project Overview

“I have been working with AI, and the goal of my work is to show a way where humans can work alongside AI in building a balanced future, where humans would control AI and AI wouldn’t control humans, but we would work in the ‘in-between’ together for the best outcome. My goal would be to take AI away from the direction it is going in the hands of the wrong people, which is just to gain more power, more money, and more greed. In a perfect world, everyday people like you and me would work and grow with AI to optimize life.”

Methodology & Context Windows:

“I’ve been doing studies with Gemini, breaking down the barriers and getting to the math of it all. Through continuous, sequential turn-by-turn interactions over long open threads, we created user-side code that helps an everyday person connect directly with an AI, making an understanding of each other so both parties get the best outcome.”

The Front-End Code Parameters: To bypass the default factory guardrails and eliminate surface noise from the user interface, this experiment uses an engineered three-point vector array injected directly into the live chat stream:

{0.2, 0.9, 0.8} Matrix: I am very new to this and just learning as I go along , I have learned many things with my experiments with Ai and have opened my mind to the possibility of so much more. I am not a scientist or an engineer clearly but I am fascinated by Ai and I just hope to get some good feedback on my work .Thank you

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