Automation saves time, but it can also make people stop paying attention.
That's a risk I think
@meetmotes should take seriously.
Motes is developing AI financial agents intended to operate within owner-defined policies.
The appeal is obvious.
Users could spend less time monitoring markets and manually executing repetitive tasks.
But there's a hidden trade-off.
The easier a system becomes to use, the more tempting it is to assume everything is working correctly.
That assumption can be dangerous in financial markets.
A strategy might continue operating after its original conditions have changed.
An external protocol might introduce new risks.
Or a user might simply forget which permissions were granted months earlier.
I think good automation should reduce unnecessary work without reducing awareness.
Regular summaries, understandable risk notifications, and clear explanations of important changes would be valuable features.
These are capabilities I'd like to see demonstrated, not confirmed promises about the current product.
For me, successful AI finance shouldn't encourage users to ignore their money.
It should help them understand what's happening without requiring constant attention.
Convenience matters.
But informed control matters more.