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  <title>BrainerX Labs Blog</title>
  <link>https://brainerxlabs.com/blog/</link>
  <description>Field notes on taking AI agents from pilot to production.</description>
  <language>en</language>
  <item>
    <title>Picking a model per task, with evals to prove it</title>
    <link>https://brainerxlabs.com/blog/picking-a-model-per-task/</link>
    <guid>https://brainerxlabs.com/blog/picking-a-model-per-task/</guid>
    <pubDate>2026-08-05T09:00:00Z</pubDate>
    <description>Model-agnostic is easy to say and hard to operate. Here is how we match models to tasks inside enterprise agents, and the small eval harness that keeps the choice honest.</description>
  </item>
  <item>
    <title>One agent, one job: how we scope automation that ships</title>
    <link>https://brainerxlabs.com/blog/one-agent-one-job/</link>
    <guid>https://brainerxlabs.com/blog/one-agent-one-job/</guid>
    <pubDate>2026-07-28T09:00:00Z</pubDate>
    <description>Broad AI assistants demo well and deploy badly. The agents that make it to production own one process end to end. Here is the scoping method we use with every customer.</description>
  </item>
  <item>
    <title>Why enterprise AI pilots die in security review</title>
    <link>https://brainerxlabs.com/blog/why-enterprise-ai-pilots-die-in-security-review/</link>
    <guid>https://brainerxlabs.com/blog/why-enterprise-ai-pilots-die-in-security-review/</guid>
    <pubDate>2026-07-14T09:00:00Z</pubDate>
    <description>Most enterprise AI pilots don&#x27;t fail on accuracy. They fail on audit trails, access control, and data residency. Here is what security teams actually check, and how to pass.</description>
  </item>
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