CTGT’s technology is built upon a deeper understanding of how AI models internally represent and process information. Just as different parts of our brains hold specific information, AI models and LLMs store information about concepts, or features. Instead of merely issuing external commands, we engage with models on a deeper level. We do not need to retrain the entire AI model or alter its core programming like traditional methods; we make targeted adjustments to its internal state at multiple stages of its content formulation. 



This direct intervention ensures that the generated content consistently and accurately reflects the desired attributes. Our approach is inspired by recent breakthroughs in understanding AI’s mechanisms of learning, paving the way for intelligence that improves on its own and is trustworthy for even the highest risk use cases without meticulous fine-tuning or prompting.