<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Monotonic guides</title><description>Guides to private, fine-tuned AI models trained on your own data.</description><link>https://getmonotonic.app/</link><atom:link href="https://getmonotonic.app/guides/rss.xml" rel="self" type="application/rss+xml"/><item><title>Using Monotonic for yourself: a private AI for your own work and life</title><link>https://getmonotonic.app/guides/for-yourself/</link><guid isPermaLink="true">https://getmonotonic.app/guides/for-yourself/</guid><description>How one person uses Monotonic: what to add, how to ask, what memories do, and how your files stay private. Plain steps, no AI background needed.</description><pubDate>Sun, 08 Nov 2026 00:00:00 GMT</pubDate></item><item><title>Using Monotonic for your business: one place your team asks about your documents</title><link>https://getmonotonic.app/guides/for-your-business/</link><guid isPermaLink="true">https://getmonotonic.app/guides/for-your-business/</guid><description>How a small business uses Monotonic: bringing in your documents, deciding who sees what, answering customers, and keeping personal details safe.</description><pubDate>Sun, 08 Nov 2026 00:00:00 GMT</pubDate></item><item><title>How to fine-tune a private AI model on your own documents</title><link>https://getmonotonic.app/guides/fine-tune-private-ai-model/</link><guid isPermaLink="true">https://getmonotonic.app/guides/fine-tune-private-ai-model/</guid><description>When fine-tuning helps, how it works with retrieval (RAG), choosing a base model, and keeping it current without a public AI provider.</description><pubDate>Sun, 25 Oct 2026 00:00:00 GMT</pubDate></item></channel></rss>