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		<title>AI Self-Evaluation on AIBussin — AI applications, systems and books</title>
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				<title>Compiling Thought: Building a Prompt Compiler for Self-Improving AI</title>
				<link>https://aibussin.com/post/compiler/</link>
				<pubDate>Thu, 26 Jun 2025 13:31:41 +0100</pubDate>
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				<description>&lt;p&gt;&lt;strong&gt;How to design a pipeline that turns vague goals into smart prompts&lt;/strong&gt;&lt;/p&gt;&#xA;&lt;h2 id=&#34;-summary&#34;&gt;🧪 Summary&lt;/h2&gt;&#xA;&lt;p&gt;Why spend hours engineering prompts when AI can optimize its own instructions. This blog post introduces a novel approach toward creating a self-improving AI by treating prompts as programs. Traditional AI systems often rely on static instructions rigid and limited in adaptability. Here, we present a different perspective: viewing the Large Language Model (LLM) as a &lt;strong&gt;prompt compiler&lt;/strong&gt; capable of dynamically transforming raw instructions into optimized prompts through iterative cycles of decomposition, evaluation, and intelligent reassembly.&lt;/p&gt;</description>
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