<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Workflow Design on Fondsites</title><link>https://fondsites.com/tags/workflow-design/</link><description>Recent content in Workflow Design on Fondsites</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 06 May 2026 09:49:57 +0300</lastBuildDate><atom:link href="https://fondsites.com/tags/workflow-design/feed.xml" rel="self" type="application/rss+xml"/><item><title>How to Delegate to AI Agents: A Playbook for Better Tasks</title><link>https://fondsites.com/ai-agents/guidebooks/delegating-to-ai-agents/</link><pubDate>Tue, 05 May 2026 00:00:00 +0000</pubDate><guid>https://fondsites.com/ai-agents/guidebooks/delegating-to-ai-agents/</guid><description>&lt;p&gt;&lt;img
 src="https://fondsites.com/ai-agents/images/guidebooks/agent-delegation-playbook.avif"
 alt="A clean illustrated AI agent delegation desk with a human goal, tool cards, approval gates, and a finished report moving across a bright workflow board"
 loading="eager"
 decoding="async" fetchpriority="high"&gt;
&lt;/p&gt;
&lt;p&gt;The first mistake people make with AI agents is treating them like search boxes with legs.&lt;/p&gt;
&lt;p&gt;They write, &amp;ldquo;Research this,&amp;rdquo; or &amp;ldquo;fix this,&amp;rdquo; or &amp;ldquo;handle the launch plan,&amp;rdquo; then get annoyed when the agent wanders. But a useful agent is not powered only by intelligence. It is powered by delegation. The human has to define the job well enough that the software can move without guessing its way into trouble.&lt;/p&gt;</description></item><item><title>When AI Agents Fail: How to Debug the Delegation</title><link>https://fondsites.com/ai-agents/guidebooks/debugging-ai-agent-failures/</link><pubDate>Tue, 05 May 2026 00:00:00 +0000</pubDate><guid>https://fondsites.com/ai-agents/guidebooks/debugging-ai-agent-failures/</guid><description>&lt;p&gt;&lt;img
 src="https://fondsites.com/ai-agents/images/guidebooks/agent-failure-debugging.avif"
 alt="An illustrated AI agent debugging bench with a broken workflow trace, highlighted tool call, stale memory card, and repair checklist under a clear inspection lamp"
 loading="eager"
 decoding="async" fetchpriority="high"&gt;
&lt;/p&gt;
&lt;p&gt;When an AI agent fails, the easiest explanation is &amp;ldquo;the model was bad.&amp;rdquo;&lt;/p&gt;
&lt;p&gt;Sometimes that is true. More often, it is incomplete.&lt;/p&gt;
&lt;p&gt;Agents fail as systems. The model may misunderstand the goal. The tool may return bad data. The memory may be stale. The prompt may be vague. The source may contain hostile instructions. The approval gate may be missing. The success check may be too weak to catch the error.&lt;/p&gt;</description></item></channel></rss>