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@@ -133,6 +135,29 @@ <h1>Jaseci: An Open-Source AI-Native Language and Runtime Stack</h1>
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</div>
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</section>
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<!-- Tutorial Themes -->
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<sectionid="themes">
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<h2>Tutorial Themes</h2>
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<divclass="themes-grid">
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<divclass="theme-card theme-1">
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<divclass="theme-label">Theme 1</div>
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<h3>Hands-On Agentic AI Development</h3>
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<pclass="theme-audience">For developers and students</p>
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<p>Write <code>by llm()</code> and the compiler writes the prompts. Build multi-agent systems with walkers on graphs. Zero boilerplate, zero glue code.</p>
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</div>
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<divclass="theme-card theme-2">
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<divclass="theme-label">Theme 2</div>
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<h3>Research the Jaseci Stack Enables</h3>
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<pclass="theme-audience">For students and researchers</p>
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<ulclass="theme-list">
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<li><strong>Agentic AI</strong> — Native language constructs for multi-agent systems</li>
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<li><strong>Auto-Deploy & Scale</strong> — Laptop to Kubernetes, zero config. Auto monolith-to-microservice</li>
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<li><strong>ML Compilers</strong> — Python-transpiling frontend that fixes PyTorch 2 FX graph breaks</li>
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