AI Works at Machine Speed, Yet Sets Itself a Human Timetable
This recent wave of Personal Agent has brought back some of the feeling I had when I was tinkering with OpenClaw. Especially while using Grok Bot recently to coordinate Agents, I have run into a problem that keeps recurring across all kinds of AI tools: AI really likes to assign itself tasks according to the working rhythm of a human team. For example, ask an Agent to plan a project, and it will…
The recent development of Personal Agents has reignited the author's fond memories of working with earlier AI tools, such as OpenClaw. However, a recurring issue they encounter across various AI tools is the tendency for these agents to schedule tasks according to a human working rhythm. This often results in tasks being planned out over several weeks, even when they could be completed much more quickly.
For instance, when an agent is asked to plan a project, it might propose a schedule that includes weeks for research, approach settlement, development, and testing, despite the fact that many of these tasks could be accomplished within a matter of minutes or hours. This discrepancy between AI's execution speed and its planning approach leads to inefficiencies and delays in the autonomous operation of AI-driven tasks.
The author identifies two main problems: inaccurate estimation and incorrect estimates influencing task progression. While the first issue can be addressed by improving AI's ability to accurately gauge its own execution capabilities, the second problem, where incorrect estimates dictate the schedule, can hinder productivity. The author emphasizes that human attention and decision-making efficiency may become the bottleneck as AI capabilities continue to advance and scale.
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