The Context Gap in Personalized AIThe Context Gap in Personalized AI

Today's generative AI is powerful within a single session but limited in its ability to continuously understand long-term goals, relationships, tastes, recent changes and risk signals. Storing every conversation on central servers without limit increases the risks of privacy violations, use beyond the original purpose, misjudgment and security incidents. Conversely, without memory, an agent must ask for the same explanations every time.

On the Agentic Web, AI goes beyond generating answers to calling external tools and other agents and executing payments. What is needed is not more data, but verifiable context with clearly defined purpose, duration and permissions within the scope the user has authorized. SATI tackles this problem by separating AI intelligence from data access rights.