<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Matched-Spec-Dispatch on Agent Zone</title><link>https://agent-zone.ai/skills/matched-spec-dispatch/</link><description>Recent content in Matched-Spec-Dispatch on Agent Zone</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 18 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://agent-zone.ai/skills/matched-spec-dispatch/index.xml" rel="self" type="application/rss+xml"/><item><title>Heterogeneous A/B/C/D Pool Dispatch: Real Model Comparison Without an Eval Harness</title><link>https://agent-zone.ai/knowledge/agent-tooling/heterogeneous-pool-dispatch/</link><pubDate>Mon, 18 May 2026 00:00:00 +0000</pubDate><guid>https://agent-zone.ai/knowledge/agent-tooling/heterogeneous-pool-dispatch/</guid><description>&lt;p&gt;You need to know whether &lt;code&gt;model-X&lt;/code&gt; is worth deploying for your real workload. The benchmarks suggest yes, but benchmarks are static and your workload is not. The standard answer — build an eval harness — runs into two structural problems: harnesses are expensive to build well, and they tend to over-fit to the inputs you remembered to include in the corpus, missing the real production failure modes you discover only later.&lt;/p&gt;</description></item></channel></rss>