<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai on Gaurav.dev</title><link>/tags/ai/</link><description>Recent content in Ai on Gaurav.dev</description><generator>Hugo</generator><language>en-US</language><copyright>© 2026 Gaurav. Built with care and clean code.</copyright><lastBuildDate>Wed, 12 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Taking a RAG Feature From Demo to Dependable Product</title><link>/posts/rag-ai-feature-production/</link><pubDate>Wed, 12 Aug 2026 00:00:00 +0000</pubDate><guid>/posts/rag-ai-feature-production/</guid><description>&lt;p&gt;A retrieval-augmented generation demo can look convincing after an afternoon. A dependable feature requires a clear job, controlled knowledge, measurable quality, and graceful failure.&lt;/p&gt;&#10;&lt;h2 id="define-the-contract"&gt;Define the contract&lt;/h2&gt;&#10;&lt;p&gt;Write down what the feature may answer, which sources are authoritative, how fresh they must be, and what it should do when evidence is missing. Decide whether the product is offering discovery, summarisation, a draft, or a final answer. These are different risk levels.&lt;/p&gt;</description></item><item><title>Building a Python Full Stack for Generative AI Products</title><link>/posts/python-full-stack-generative-ai/</link><pubDate>Thu, 18 Jun 2026 00:00:00 +0000</pubDate><guid>/posts/python-full-stack-generative-ai/</guid><description>&lt;p&gt;An AI product is still a product. It needs authentication, permissions, billing, data ownership, reliable jobs, observable failures, and an interface that helps users judge uncertain results. A practical Python full stack handles those concerns without forcing model code into every layer.&lt;/p&gt;&#10;&lt;h2 id="choose-the-application-centre"&gt;Choose the application centre&lt;/h2&gt;&#10;&lt;p&gt;Use Django when the product needs an integrated business platform: relational workflows, administration, users, permissions, and substantial back-office operations. Django’s conventions reduce the number of infrastructure decisions and give operations teams useful interfaces early.&lt;/p&gt;</description></item></channel></rss>