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      <title>How To Use Open Models Effectively — Zach Mueller</title>
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      <description>Zach Mueller (Lambda) on when open models beat APIs: the current open-model landscape, token-speed targets, quantization trade-offs, and why open weights are good enough for ~90% of tasks for ~90% of people.</description>
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      <title>How to Build &amp; Launch an AI Startup with Claude Code: Full Course (6 Hours) — Build Great Products</title>
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      <title>How to Build Agents That Answer Data Questions — Shreya Shankar</title>
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      <description>The DAB benchmark for data agents: why text-to-SQL isn&amp;#39;t enough, the four real-world data challenges (messy joins, multi-database, free text, domain knowledge), and why frontier agents only pass 57% of the time.</description>
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      <title>Claude Design is Insanely Easy (even for beginners) — Jeff Su</title>
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      <description>The anti-generic Claude Design workflow: prepare three files (design.md → design system → template) so every deck starts on-brand and every feedback compounds into future designs.</description>
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      <title>A Complete Guide to the New Claude Design — Futurepedia</title>
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      <description>Full Claude Design platform walkthrough: expanded templates, bundled usage, design systems for on-brand output, and a motion-graphics-for-videos use case that is genuinely surprising.</description>
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      <title>How to Automate AI Evals (Correctly) — Shreya Shankar</title>
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      <description>Part 1 of Hamel and Shreya&amp;#39;s AI product engineering series: the analyze → measure → improve eval lifecycle, and three mistakes to avoid when using AI to automate evals.</description>
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