<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Meta on Start AI Tools - Presented by Intent Solutions</title><link>https://startaitools.com/tags/meta/</link><description>Recent content in Meta on Start AI Tools - Presented by Intent Solutions</description><generator>Hugo</generator><language>en-US</language><copyright>Intent Solutions. All rights reserved.</copyright><lastBuildDate>Fri, 10 Apr 2026 13:04:19 -0500</lastBuildDate><atom:link href="https://startaitools.com/tags/meta/index.xml" rel="self" type="application/rss+xml"/><item><title>March 2026: 35 Posts, the Eval Framework That Shipped 10 Epics in a Day, and a Meta-Milestone</title><link>https://startaitools.com/monthly-recaps/march-2026/</link><pubDate>Tue, 31 Mar 2026 18:00:00 -0500</pubDate><guid>https://startaitools.com/monthly-recaps/march-2026/</guid><description>&lt;p&gt;March was the month the machinery became self-aware. Not in a dramatic AI sense — in the sense that the content system started tracking itself. The tier classification system was designed, built, and deployed. The blog-backfill pipeline went operational. And the j-rig binary eval framework proved that a well-structured evaluation system can move at sprint speed: ten epics from planning to production in a single day.&lt;/p&gt;
&lt;p&gt;Thirty-five posts. Three hundred forty commits. The commit count dropped again — January had 627, February had 446, March has 340 — and that trend is now clearly a signal, not noise. The work is getting more focused. Fewer repositories are active. Each commit carries more weight. And the blog is capturing more of the work, which means the commits-per-post ratio continues to compress.&lt;/p&gt;</description></item></channel></rss>