<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Small-Language-Models on David R. Longnecker - Converting Coffee to Code</title><link>https://drlongnecker.com/tags/small-language-models/</link><description>Recent content in Small-Language-Models on David R. Longnecker - Converting Coffee to Code</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Sun, 04 Oct 2026 09:00:00 -0600</lastBuildDate><atom:link href="https://drlongnecker.com/tags/small-language-models/index.xml" rel="self" type="application/rss+xml"/><item><title>The Fastest Model in the Stack Doesn't Talk</title><link>https://drlongnecker.com/blog/2026/10/small-models-decision-engines-agent-workflows/</link><pubDate>Sun, 04 Oct 2026 09:00:00 -0600</pubDate><guid>https://drlongnecker.com/blog/2026/10/small-models-decision-engines-agent-workflows/</guid><description>&lt;p&gt;I&amp;rsquo;ve had Jev, the new decision model from TypeSafe AI, running inside two of my own agent workstreams for the past several weeks. Not the workflows TypeSafe demoed at launch. Ticket routing, invoice scoring, security triage, and customer-service calls are their own list. I&amp;rsquo;m using it as a judge, gauging which tool an agent should reach for next and scoring the next-best action on a pending code change, both places where a frontier model used to sit in the loop doing work it was overqualified for.&lt;/p&gt;</description></item></channel></rss>