<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Intake on Fondsites</title><link>https://fondsites.com/tags/intake/</link><description>Recent content in Intake on Fondsites</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 29 May 2026 13:43:57 +0300</lastBuildDate><atom:link href="https://fondsites.com/tags/intake/feed.xml" rel="self" type="application/rss+xml"/><item><title>AI Agent Input Normalization: Preparing Messy Requests Before the Run</title><link>https://fondsites.com/ai-agents/guidebooks/agent-input-normalization/</link><pubDate>Fri, 29 May 2026 00:00:00 +0000</pubDate><guid>https://fondsites.com/ai-agents/guidebooks/agent-input-normalization/</guid><description>&lt;p&gt;AI agents rarely receive perfect work. A requester writes a short note and assumes the background is obvious. A ticket has a title that says one thing and an attachment that says another. A customer record contains duplicate names. A spreadsheet mixes old and new formats. A document has comments, tracked changes, and a stale template. A browser page presents useful evidence beside promotional copy and hidden navigation. If that material goes straight into an agent run, the delegate has to decide what the task really is before it can do the task.&lt;/p&gt;</description></item></channel></rss>