Artificial intelligence is becoming part of professional work. Developers, founders, researchers, product teams, and AI builders use AI to think through requirements, code, documentation, strategy, research, and planning.
That does not mean every AI response is dangerous. It means AI work sessions can become important. When a workflow becomes important, the user deserves a way to pause and inspect what happened before acting on the output.
CAF stands for Continuity Alignment Framework. It was created to help identify when an AI conversation starts drifting away from the work objective, becomes unstable, introduces contradictions, applies pressure, or presents confident guidance before enough context has been established.
CAFScansAI is the first public software product built from that framework. It is not a chatbot, not an autonomous agent, and not a system that secretly monitors users. It is a user-controlled review layer for AI work sessions, excerpts, responses, and threads.
The goal is not to replace judgment.
The goal is to support judgment. CAFScansAI helps professionals look at an AI interaction more carefully, understand whether the AI stayed with the work objective, and decide whether to bring AI restoration instructions back into the same conversation.
The long-term vision is that AI productivity review becomes normal. Before important work depends on an AI answer, professionals should be able to ask: Did this workflow stay aligned? Did the AI answer the question I actually asked? Did it miss requirements? Did it become too certain? Did it pressure me? Did it contradict itself? What should I ask next?
CAFScansAI exists to make that review point practical.