Short - Chaining agents

One of the benefits of the Canvas is you can have multiple agents working off each other's outputs to go even deeper into your analysis. To give you an example, I've got an agent here who's done a profitability analysis to understand what could be driving and impacting profitability. And one of the things it's come back with is that potentially something going on in the south region, which makes it more loss making than the others. Now, obviously, I could dig into this more with this agent, but I actually want this presentation to be left. I wanna make sure we can see all of this as an artifact. So instead, I'm gonna add another agent to the canvas, give it the same catalog as a base context, and then select all that branch of the first agent's analysis and give it to that agent. And then I'm gonna get this agent to go and dig into that particular investigation. Hey, Count AI. I want to understand more about why the south region is more loss making in the other geographies. Can you go investigate that for me, please? So this agent's gonna go off and do its own analysis, do its own thinking, and come back with its own individual piece of analysis built off the previous one.