<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-Collaboration on hanneseichblatt.de</title><link>https://hanneseichblatt.de/tags/ai-collaboration/</link><description>Recent content in Ai-Collaboration on hanneseichblatt.de</description><generator>Hugo</generator><language>en</language><copyright>© Hannes Eichblatt</copyright><lastBuildDate>Sun, 26 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://hanneseichblatt.de/tags/ai-collaboration/index.xml" rel="self" type="application/rss+xml"/><item><title>Case Study Paperclip: The Mission Pattern in Practice</title><link>https://hanneseichblatt.de/posts/case-study-paperclip-mission-pattern/</link><pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate><guid>https://hanneseichblatt.de/posts/case-study-paperclip-mission-pattern/</guid><description>&lt;p&gt;&lt;em&gt;This post builds on &lt;a href="https://hanneseichblatt.de/posts/structuring-collaboration/"&gt;Structuring Collaboration&lt;/a&gt;, which defined four AI collaboration modes: Lookup, Workshop, Companion, and Mission.&lt;/em&gt;&lt;/p&gt;
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&lt;p&gt;Mission is the hardest pattern to get right. You hand over a task definition and success criteria, and a trusted agent colleague works autonomously — checking back at decision points, not at every step.&lt;/p&gt;
&lt;p&gt;Most people understand Mission in theory. The difficulty is operational: how do you actually structure delegation so the agent knows what it&amp;rsquo;s working on, when it&amp;rsquo;s done, and when to stop and ask?&lt;/p&gt;</description></item><item><title>Towards an AI Collaboration Skill Tree</title><link>https://hanneseichblatt.de/posts/ai-collaboration-skill-tree/</link><pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate><guid>https://hanneseichblatt.de/posts/ai-collaboration-skill-tree/</guid><description>&lt;p&gt;Previous posts established the &lt;a href="https://hanneseichblatt.de/posts/four-modes-of-ai-collaboration/"&gt;four collaboration patterns&lt;/a&gt; and mapped &lt;a href="https://hanneseichblatt.de/posts/structuring-collaboration/"&gt;how organizations onboard agent colleagues&lt;/a&gt;. What&amp;rsquo;s missing is the individual&amp;rsquo;s instrument: a map of where you are, what&amp;rsquo;s locked, what to unlock next.&lt;/p&gt;
&lt;p&gt;RPG players know the skill tree. You pick a path, invest points, unlock gates, specialize. Prerequisites are encoded—no fireball until you&amp;rsquo;ve mastered spark. The tree tells you what to learn, in what order, and what becomes possible. AI adoption needs the same structure.&lt;/p&gt;</description></item></channel></rss>