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    <title>Reliability on Nyghtowl</title>
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      <title>AI reliability is a decade-old problem. And we’re still only solving half of it</title>
      <link>https://nyghtowl.com/posts/2026/04/ai-reliability-is-a-decade-old-problem/</link>
      <pubDate>Thu, 02 Apr 2026 12:59:04 +0000</pubDate>
      <guid>https://nyghtowl.com/posts/2026/04/ai-reliability-is-a-decade-old-problem/</guid>
      <description>&lt;p&gt;I recently contributed this &lt;a href=&#34;https://temporal.io/blog/ai-reliability-is-a-decade-old-problem&#34;&gt;piece to Temporal’s blog&lt;/a&gt; and wanted to share it, too.&lt;/p&gt;&#xA;&lt;hr&gt;&#xA;&lt;p&gt;The AI agents being deployed today can reason through complex tasks, chain together dozens of tool calls, and operate autonomously for hours. What most of them &lt;em&gt;can’t&lt;/em&gt; do is survive something going wrong halfway through.&lt;/p&gt;&#xA;&lt;p&gt;Even if an agent were 85% reliable at each step, a 10-step workflow would succeed end-to-end only about 20% of the time. Scale that to the longer workflows that production agents actually run, and even strong step-level performance produces cascading failure. Not because the model got something wrong, but because the system had no way to checkpoint progress, recover from a partial failure, or resume where it left off.&lt;/p&gt;</description>
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