The Target Operating Model Approach to Building AI Agent Teams with Paperclip
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Most AI agent content is hype. This isn’t.
I’m Mike, host of Lone Wolf Unleashed.
This week I walk you through how I implemented my first AI agent team using Paperclip — an open-source multi-agent platform — and more importantly, the methodical approach that made the result controllable rather than chaotic.
The short version: I started with a target operating model in Obsidian, not with the tool.
People, process, technology, on a page.
I handed the architecture to Claude, spun up a “CEO agent” in Paperclip, and let it form a team — CTO, business analyst, content writer, marketing manager, clips publisher — that now runs my content pipeline from Asana through Descript, SharePoint and into Metricool.
Architecture before automation.
Human-in-the-loop, non-negotiable.
You’re still the master of your business.
Listen to hear me walk you through it.
Chapters
00:00 First AI agent team, implemented
00:30 Why Paperclip (and going from local to cloud)
01:18 Starting with a target operating model in Obsidian
02:03 Handing the architecture to Claude
02:22 The CEO agent spawns the team
03:40 The content workflow: Asana → Descript → SharePoint → Paperclip → Metricool
05:04 Matching agents to models: Opus, Sonnet, Haiku
05:56 Routines instead of manual triggers
06:40 What took the time (spoiler: it wasn’t the agents)
07:34 Human-in-the-loop and run history
09:10 You are the master of your business
10:54 The 80/20 rule for phase-one builds
Resources: lonewolfunleashed.com/resources
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