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    <title>Om Solanki</title>
    <link>https://omsolanki.com</link>
    <description>I help startups bring AI ideas to production: architecture, RAG, agentic systems, and production readiness for real-world AI products.</description>
    <language>en-us</language>
    <managingEditor>hello@omsolanki.com (Om Prakash Solanki)</managingEditor>
    <webMaster>hello@omsolanki.com (Om Prakash Solanki)</webMaster>
    <lastBuildDate>Wed, 24 Jun 2026 14:13:01 GMT</lastBuildDate>
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      <title>From AI Demo to Production - What Startups Get Wrong</title>
      <link>https://omsolanki.com/articles/from-ai-demo-to-production</link>
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      <pubDate>Wed, 24 Jun 2026 00:00:00 GMT</pubDate>
      <description><![CDATA[Why AI prototypes fail in production and what to validate before you ship retrieval, agents, or inference to real users.]]></description>
      <content:encoded><![CDATA[<p>Most AI products fail between the demo and the first hundred real users - not because the model is wrong, but because <strong>production was never designed</strong>.</p>
<h2>The demo trap</h2>
<p>Demos optimize for the happy path. Production optimizes for variance: messy data, retries, latency spikes, and users who do not read your prompts.</p>
<h2>What to validate early</h2>
<ol><li><strong>Evals</strong> — define what “good” means before you ship.</li><li><strong>Observability</strong> - traces, logs, and quality signals on real traffic.</li><li><strong>Cost envelope</strong> - inference spend at 10× your expected volume.</li><li><strong>Fallbacks</strong> - what happens when the model fails or times out?</li></ol>
<p>![](/assets/images/AI-Demo-to-Production-v1.png)</p>
<h2>A practical next step</h2>
<p>If you are past the notebook and need a credible path to production, <a href="/#contact">get in touch</a> - I help startups ship agentic and RAG systems that survive real users.</p>]]></content:encoded>
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