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    <title>Unblog by Pelles</title>
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    <description>Not just content—experiences. Interactive explorations, video slops, and thought leadership on AI, tech, and building the future. Learn by doing, not just reading.</description>
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      <title><![CDATA[The New Product Development Flow]]></title>
      <link>https://unblog.pelles.ai/explore/posts/thought-leadership/product-development-flow</link>
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      <description><![CDATA[How we ship fast without losing alignment — code as the source of truth, AI-driven feedback loops, and lightweight quality gates that compound over time.]]></description>
      <pubDate>Sat, 08 Feb 2025 00:00:00 GMT</pubDate>
      <author>tech@pelles</author>
      <category>thought-leadership</category>
      <category>product-development</category>
      <category>ai</category>
      <category>linear</category>
      <category>claude-code</category>
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      <title><![CDATA[The Filing Cabinet Trap: Why Subcontractors are Losing Margins in the Cloud]]></title>
      <link>https://unblog.pelles.ai/explore/posts/thought-leadership/filing-cabinet-trap</link>
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      <description><![CDATA[Why Systems of Record aren't enough, and how Systems of Decision are the new competitive advantage for construction subcontractors.]]></description>
      <pubDate>Fri, 10 Jan 2025 00:00:00 GMT</pubDate>
      <author>tech@pelles</author>
      <category>thought-leadership</category>
      <category>construction</category>
      <category>technology</category>
      <category>business</category>
      <category>subcontractors</category>
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      <title><![CDATA[The Death of Static Content: Why Traditional Articles Are Becoming Obsolete]]></title>
      <link>https://unblog.pelles.ai/explore/posts/thought-leadership/death-of-static-content</link>
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      <description><![CDATA[An experiment in sharing technical knowledge differently. This article exists in two forms: a classic Medium-style piece and an interactive version. We're exploring what works when AI can generate endless content.]]></description>
      <pubDate>Thu, 09 Jan 2025 00:00:00 GMT</pubDate>
      <author>tech@pelles</author>
      <category>thought-leadership</category>
      <category>ai</category>
      <category>content</category>
      <category>experiment</category>
      <category>interactive</category>
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      <title><![CDATA[Do What You Do Best, Vibe the Rest]]></title>
      <link>https://unblog.pelles.ai/explore/posts/thought-leadership/vibe-coding</link>
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      <description><![CDATA[A build vs. buy paradigm shift for tech startups. The old wisdom was to outsource everything outside your core business. But with AI-assisted coding, the calculus has fundamentally changed.]]></description>
      <pubDate>Thu, 09 Jan 2025 00:00:00 GMT</pubDate>
      <author>tech@pelles</author>
      <category>thought-leadership</category>
      <category>ai</category>
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      <category>build-vs-buy</category>
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      <title><![CDATA[Visualizing Neural Networks: An Interactive Guide]]></title>
      <link>https://unblog.pelles.ai/explore/posts/tutorials/visualizing-neural-networks</link>
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      <description><![CDATA[Explore the inner workings of neural networks through interactive 3D visualizations and animated charts.]]></description>
      <pubDate>Wed, 08 Jan 2025 00:00:00 GMT</pubDate>
      <author>tech@pelles</author>
      <category>tutorial</category>
      <category>machine-learning</category>
      <category>visualization</category>
      <category>neural-networks</category>
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      <title><![CDATA[Building Production-Ready LLM Applications: Beyond the Prototype]]></title>
      <link>https://unblog.pelles.ai/explore/posts/tutorials/building-production-llm-apps</link>
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      <description><![CDATA[The demo worked. The prototype impressed everyone. Now what? Key challenges and patterns we've learned deploying LLM applications at scale.]]></description>
      <pubDate>Sun, 05 Jan 2025 00:00:00 GMT</pubDate>
      <author>tech@pelles</author>
      <category>tutorial</category>
      <category>llm</category>
      <category>production</category>
      <category>architecture</category>
      <category>mlops</category>
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      <title><![CDATA[How We Use AI to Know Our Customers Better (Not Replace the Conversation)]]></title>
      <link>https://unblog.pelles.ai/explore/posts/case-studies/customer-support-ai</link>
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      <description><![CDATA[At Pelles, we use AI internally to help our Customer Success team serve customers better - not to automate relationships away, but to make every interaction more informed and personal.]]></description>
      <pubDate>Thu, 02 Jan 2025 00:00:00 GMT</pubDate>
      <author>tech@pelles</author>
      <category>case-study</category>
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