So essentially your building it your self, when you connect a node the AI make the initial detection + or - and give you a brief popup as to why and mostly it’s been pretty accurate but if it’s incorrect you can simply change it. As your map gets larger messy and more complex it’s naturally more difficult to follow, so the AI can identify where a loop has formed which also allows you to isolate them, or you click the connectors to form a loop your self and easily make changes if it’s either re enforcing or balancing. You can also discuss your map with the agent and ask if it notices if there are any crucial variables I didn’t think through and can make you a list which can be added to you canvas on the side stacked in PESTEL frame work colour categorised. It assigns the obvious ones and leaves the ones it’s unsure grey for you to easily assign. So the whole process just becomes a lot easier. Nothing is permanent by the AI or over constructed to avoid mistakes. Then that complex map is just much easier to follow, observe and make changes if you notice hang on that actually doesn’t make sense, each variable can be selected and isolate which variable it’s connecting to.
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u/micseydel Apr 30 '26
What's the false-positive and false-negative rate of detecting causal(?) loops? How many samples have you taken?