People use AI for projects, research, education, planning, business, creative work, decision support, and many other purposes. Across a growing conversation, instructions accumulate, decisions are made, corrections occur, and objectives become more detailed.
Later responses may no longer reflect everything established earlier. That does not mean every AI response is wrong. It means the user benefits from a way to pause, review the available history, and decide what should happen next.
CAF stands for Continuity Alignment Framework. It evaluates how later responses relate to what was established earlier in the conversation history the user provides, including alignment, changes in direction, correction, restoration, and continuation.
CAFScansAI is an independent AI-governance product powered by CAF. It does not replace the AI, secretly monitor users, or claim to solve AI safety. It provides a user-controlled, conversation-level governance mechanism for interactions, excerpts, responses, and threads.
The goal is not to replace judgment.
The goal is to support judgment. CAFScansAI helps users review an AI interaction, understand whether it stayed aligned with what they established, and decide whether to bring Restoration Instructions back into the same conversation.
The long-term vision is that continuity review becomes a normal part of everyday AI use. Users should be able to ask: Did this conversation stay aligned? Did the AI answer the question I actually asked? Did it miss requirements? Did the direction change? Does the current state need correction? What should I provide next?
CAFScansAI exists to make that review point practical.