have six key differentiators, which I'll go into in a sec. And then on the output side, there should be many surface areas where agents and humans are able to interact with the context engine. One of ours is simple, human engineers in Slack just chat with it and ask it questions all the time to get data they need. I'll show you an example. Um but then of course, agents. As you move to background agents, they need a context engine in order to run headlessly, or to run in the background, or run in the cloud, because they have to be able to ask questions of a machine, not a person. Cuz otherwise, you're not going to wake up to a PR, you're going to wake up to a am I allowed to use this tool? That's not helpful. So, these are the six.