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Eric Siu covers how to make AI agents more effective by prioritizing high-leverage work, setting overnight goals to keep momentum, converting risky tasks into approval packets, and batching open threads to reduce friction.
Eric Siu covers how to make AI agents more effective by prioritizing high-leverage work, setting overnight goals to keep momentum, converting risky tasks into approval packets, and batching open threads to reduce friction.
So I like talking about highest leverage because, you know, a little bit of output, maybe $1 of output yields you $10 or $100 back. You to look across open work ranks the safest, high leverage, runs what it can and turns risky work into approval packets. You have slash goal to keep work moving, but you want it to work overnight. Maybe you want it to focus on, continue to focus on high leverage tasks through the evening. And then maybe you have open threads and maybe you need to batch it out.
