<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>Nikolai Mazurov: blog</title>
    <description>Notes from a practitioner: AI, architecture, multi-agent systems.</description>
    <link>https://mazurovnn.ru/</link>
    <item>
      <title>It&#39;s not the model that decides, but the environment around it</title>
      <link>https://mazurovnn.ru/en/blog/agent-harness/</link>
      <guid isPermaLink="true">https://mazurovnn.ru/en/blog/agent-harness/</guid>
      <description>A year ago, an agent was assembled from a model and a list of tools. Now a separate layer has grown up around the model, and it is this layer that determines whether the system works or falls apart on the third step.</description>
      <pubDate>Wed, 26 Aug 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>AI in business processes: where it pays, where it&#39;s hype</title>
      <link>https://mazurovnn.ru/en/blog/ai-in-business-processes/</link>
      <guid isPermaLink="true">https://mazurovnn.ru/en/blog/ai-in-business-processes/</guid>
      <description>Documents, support, monitoring: AI pays back fast there. Full autonomy without control: that is where the losses begin.</description>
      <pubDate>Mon, 17 Aug 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Skills, agents and the future of engineering</title>
      <link>https://mazurovnn.ru/en/blog/skills-and-agents/</link>
      <guid isPermaLink="true">https://mazurovnn.ru/en/blog/skills-and-agents/</guid>
      <description>Expertise gets packaged into skills, routine goes to agents. What is left for the engineer, and what is worth learning right now.</description>
      <pubDate>Mon, 03 Aug 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>ADR and SDD: documents that don&#39;t gather dust</title>
      <link>https://mazurovnn.ru/en/blog/adr-and-sdd/</link>
      <guid isPermaLink="true">https://mazurovnn.ru/en/blog/adr-and-sdd/</guid>
      <description>Short decision records and specs before code. Why they matter even more in the age of agents, and why fat specifications are dead.</description>
      <pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Where AI actually helps in medicine</title>
      <link>https://mazurovnn.ru/en/blog/ai-in-medicine/</link>
      <guid isPermaLink="true">https://mazurovnn.ru/en/blog/ai-in-medicine/</guid>
      <description>No fantasies about replacing doctors: routine work, transcription, a second pair of eyes on scans, and patient follow-up. And why responsibility stays with the human.</description>
      <pubDate>Mon, 06 Jul 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>AI on the factory floor: don&#39;t start with the model</title>
      <link>https://mazurovnn.ru/en/blog/ai-in-production/</link>
      <guid isPermaLink="true">https://mazurovnn.ru/en/blog/ai-in-production/</guid>
      <description>How to bring AI into production cycles without pain: process and data first, a pilot on a boring bottleneck, and only then model debates.</description>
      <pubDate>Mon, 22 Jun 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>One agent is fine, an orchestra is better</title>
      <link>https://mazurovnn.ru/en/blog/multi-agent-orchestration/</link>
      <guid isPermaLink="true">https://mazurovnn.ru/en/blog/multi-agent-orchestration/</guid>
      <description>Why a zoo of ten agents never works, and what actually fixes it: an orchestrator, context boundaries and quality control.</description>
      <pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate>
    </item>
  </channel>
</rss>