What makes a task genuinely “agent-native”?
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I started thinking about this after noticing a change in how some users interact with AI products.
They don’t want to open another app every day and repeat the same commands. They’d rather set an intent once, let the agent keep working, and only hear back when something changes or needs their attention.
That made me wonder if “agent-native” is less about the interface, and more about the task itself.
A task feels more agent-native when:
1. context needs to persist over time
2. users care more about the outcome than the steps
3. the agent can decide when to act
4. human attention is only needed at key moments
Maybe the real shift is from software we operate to responsibilities we delegate.
For builders working on agents: what kinds of tasks have you found actually benefit from this model — and which ones still work better as traditional software?
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The real test is whether i can forget about the task for a while. if i still need to open the app and tell it what to do daily, it doesn't feel very agent-native.
I think the " responsibilities we delegate " framing is spot on. That feels much more useful than simplify calling something agent native.
I care about the results not every step. if i need to control every action i'd probably just use traditional software.