# Technical Corner

<h2 align="center">Technical Corner</h2>

#### Featured Articles

<table data-view="cards"><thead><tr><th></th><th></th><th align="center"></th><th data-hidden data-card-cover data-type="image">Cover image</th><th data-hidden data-type="content-ref"></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><h4>Building an AI-Native Business Operating System in Kizen</h4></td><td>A Q&#x26;A with Kizen’s Director of Data Science on building AI systems that scale, adapt, and deliver real business outcomes.</td><td align="center"><a href="/pages/BBTQy4JjmOQb843M1TE6" class="button primary">Read More</a></td><td><a href="/files/wqm2sGaOENwS2xI6nxx5">/files/wqm2sGaOENwS2xI6nxx5</a></td><td><a href="/pages/BBTQy4JjmOQb843M1TE6">/pages/BBTQy4JjmOQb843M1TE6</a></td><td><a href="/pages/BBTQy4JjmOQb843M1TE6">/pages/BBTQy4JjmOQb843M1TE6</a></td></tr><tr><td><h4 id="id-0645">Eliminating Schema Hallucinations in AI Systems with DAG</h4></td><td>LLMs understand intent, but databases demand precision. Learn how a step-by-step DAG router + structured outputs eliminated hallucinated fields and invalid logic, by construction.</td><td align="center"><a href="/pages/oCNu7Hz3EBk7q3sujcdg" class="button primary">Read More</a></td><td><a href="/files/SJsYyzzAXqLeFsAdRzv5">/files/SJsYyzzAXqLeFsAdRzv5</a></td><td></td><td><a href="/pages/oCNu7Hz3EBk7q3sujcdg">/pages/oCNu7Hz3EBk7q3sujcdg</a></td></tr></tbody></table>


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