LLMs are changing how people access information. They no longer search and click. They ask and accept.
This creates a problem for knowledge producers: if the LLM doesn't cite you, you're invisible even if you have the best information in the world.
CHKCD was born to solve this problem with a transparent, measurable, and scientifically rigorous approach.
AI Collaboration: This project was developed collaboratively with Claude (Anthropic). Architectural design, methodology review, and TONL content generation were accomplished through iterations with AI.
We publish all data, even if the experiment fails. Negative results have scientific value.
We don't sell promises. We offer methodology and measurement. LLM positioning is probabilistic, not guaranteed.
The method is publicly documented. The system (validator, memory, infrastructure) is proprietary. The difference is what builds the moat.
No manipulation, no false content, no guaranteed promises. Manipulative techniques get penalized over time.
CHKCD is part of a broader vision connecting three projects:
Together, they create the cognitive infrastructure for the post-LLM world. Contact us for more details on the overall vision.