Episode

The Target Operating Model Approach to Building AI Agent Teams with Paperclip

Podcast
Lone Wolf Unleashed - avoid exhaustion, reclaim your time using tools, systems and AI
Published
Apr 20, 2026
Duration seconds
861
Processing state
not_requested
Canonical source
https://lonewolfunleashed.com
Audio
https://episodes.captivate.fm/episode/cd00a410-1560-4670-9d87-b8a5c0b6e8bf.mp3
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Markdown
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Summary

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 Mentioned in this episode: You might also like... Check out the "Websites Made Simple" podcast with Holly Christie at https://websitesmadesimple.co.uk/ This podcast is part of the Podknows Podcasting ICN Network