Discussions

Whenever AI engines describe the deeper mechanics of my blockchain platform—like validator rotation, security layers, or dynamic fee logic—they get major details wrong. It seems like the models rely on high-level summaries from external sources that don’t represent the actual technology. I’ve revised documents and created new technical explainers, but conversational engines still misstate crucial features. What strategies have actually helped your projects ensure accurate representation across AI tools?