
Artificial
AI agents are getting much better at doing tasks. I think verification is still the weak link.
I've been experimenting with a problem that keeps showing up as agents get better at using browsers and desktops: How does the agent actually know its work succeeded? A lot of current workflows eventually reduce verification to some version of: do the task → inspect the final state → decide whether it worked. That catches obvious failures. It misses a surprisingly annoying class of others. A checkout flow can show $NaN halfway through and recover before the final screenshot. A moda...
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