Something I've been thinking about after spending a few months actually trying to build my own AI agent: the biggest trap in this space isn't technical. It's the Jarvis fantasy.
The Jarvis fantasy is the moment you imagine one agent that runs your whole life. Handles your inbox, manages your calendar, writes your newsletter, triages your tasks, thinks about problems while you sleep. The fully-formed product from week one.
It's a trap. I fell into it hard, and watching other people start into agent building, I see them fall into the same one. Here's what I think is actually happening when it grabs you:
- It pushes you to add five features at once instead of adding one and letting it settle.
- It nudges you toward full autonomy before the basics are even stable. Then when something drifts, you have no idea which layer to debug.
- It assumes the agent should figure everything out on its own, when what it actually needs is clearer boundaries and simpler jobs.
- It confuses "end state" with "starting point." You want the final shape before you've earned it.
The version that actually works, I've come to believe, is incremental. One small task. Then the next. Then the next. Morning summary of overnight email. Then a daily plan drafter. Then inbox triage. Eventually a bunch of small pieces start to look a bit like Jarvis, but as a side effect of solid groundwork, not as a goal.
The reframe that helped me most: think of an agent as a partner, not a solver. Something that takes the boring work off your plate and brings you the interesting decisions. Not something that removes you from the loop entirely.
The deeper insight (at least for me): the problem isn't "can an AI do this." The problem might be more -> wanting the end state before you've earned it. That's a human mistake, not an AI one.
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