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		<title>CoT Encyclopedia on AIBussin — AI applications, systems and books</title>
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				<title>Building a Self-Improving Chain-of-Thought Agent: Local LLMs Meet the CoT Encyclopedia</title>
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				<pubDate>Wed, 21 May 2025 18:36:51 +0100</pubDate>
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				<description>&lt;blockquote&gt;&#xA;&lt;p&gt;Most AI systems generate answers. Ours examines how they think. This isn’t just prompt engineering this is structured reasoning at scale.&lt;/p&gt;&#xA;&lt;/blockquote&gt;&#xA;&lt;h2 id=&#34;-summary&#34;&gt;🔧 Summary&lt;/h2&gt;&#xA;&lt;p&gt;Large Language Models are transforming every field, yet their internal reasoning remains a formidable black box. We can get brilliant outputs, but without understanding how those conclusions were reached, we&amp;rsquo;re left guessing how to improve, debug, or even trust them. This opacity limits our ability to build truly reliable and self-improving AI systems.&lt;/p&gt;</description>
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