Session Recap
What we covered and how to apply it this week.
The bottleneck in most teams is not capability - it is capacity. There is only one of you. You can work faster, or you can work smarter. But there is a third option: build a team that works while you do the part only you can do.
In this session, we looked at Paperclip - an open-source orchestration tool that lets you hire AI agents, assign each one a role and a goal, set a budget, and run them all from one dashboard. It is not about making one AI do more. It is about building a coordinated team of AIs that divide the work, run in parallel, and report back.
We used the BOLT storyline to make it concrete. Dana Reyes needs to launch BOLT into three new markets fast. With a Paperclip team - a research agent, a copy agent, and an analytics agent - she runs all three workstreams at once. She reviews the outputs and makes decisions. Her agents do the execution. That is the difference between using AI and leading it.
The key shift is the manager's mindset. When you build a Paperclip team, your job is not to do the work. It is to set the goal, design the team, and make sure the output is good. That is an AI Officer role. And it is the role organizations need as AI becomes half of every workflow.
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Take the team map you built in this session and make it real. Install Paperclip, create your first company, hire three agents, and give them a goal from your actual work.
The first output will not be perfect. That is normal. Adjust the agent brief and run it again. The second version is usually close. The third version is the one that runs on its own.
Once you have one output you are happy with, share it with your manager or a colleague. Show them the team map and what it produced. Ask them what else it could run on. That is how a personal AI team becomes an organizational capability.
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