A real challenge with AI agents is getting them to execute a trading idea exactly the way you meant it. A line like “short $ETH if it sweeps the Monday high” sounds simple, yet it hides context, timing rules, and risk assumptions that generic agents often get wrong. If the translation isn’t exact, the agent won’t behave the way you intended. This is why the interface matters. It becomes the translation layer that takes your input, fills the gaps, runs the checks, and confirms the logic before anything goes live. You can see this level of precision at @SuperiorTrade_. Complex ideas become clean, validated rules the agent follows with accuracy.