<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>m0r9un.com</title><link>https://m0r9un.com/</link><description>Latest articles from m0r9un.com.</description><generator>Hugo</generator><language>en</language><atom:link href="https://m0r9un.com/index.xml" rel="self" type="application/rss+xml"/><item><title>Why I Built Joys &amp; Woes: A Private Place for the Days We Forget</title><link>https://m0r9un.com/articles/why-i-built-joys-and-woes/</link><pubDate>Sun, 30 Aug 2026 18:00:00 +0300</pubDate><author>vladislavmorgun@gmail.com (Vladislav Morgun)</author><guid>https://m0r9un.com/articles/why-i-built-joys-and-woes/</guid><description>&lt;p&gt;I do not think every meaningful moment needs an audience. Some things are worth remembering precisely because they remain yours. That belief became &lt;strong&gt;&lt;a href="https://apps.apple.com/app/joys-woes/id6805116848"&gt;Joys &amp;amp; Woes&lt;/a&gt;&lt;/strong&gt;: a small, private iPhone journal for keeping what felt good and letting go of what did not.&lt;/p&gt;</description></item><item><title>Build Systems, Set Goals: A Goal-Oriented Approach to AI in SEO and Product Work</title><link>https://m0r9un.com/articles/goal-oriented-ai-systems/</link><pubDate>Sun, 23 Aug 2026 12:00:00 +0300</pubDate><author>vladislavmorgun@gmail.com (Vladislav Morgun)</author><guid>https://m0r9un.com/articles/goal-oriented-ai-systems/</guid><description>&lt;p&gt;Most conversations about artificial intelligence begin with model selection: which one is smarter, which is cheaper, which writes better code, or which handles more context. I suggest starting with a different question: &lt;strong&gt;what system are we building, and what result should it produce?&lt;/strong&gt;&lt;/p&gt;</description></item><item><title>From Failure to Fix: How AI Helps Solve SEO Problems in Hours, Not Weeks</title><link>https://m0r9un.com/articles/ai-for-seo-problem-solving/</link><pubDate>Sun, 23 Aug 2026 10:00:00 +0300</pubDate><author>vladislavmorgun@gmail.com (Vladislav Morgun)</author><guid>https://m0r9un.com/articles/ai-for-seo-problem-solving/</guid><description>&lt;p&gt;Most conversations about AI in SEO revolve around content generation, code, and automating repetitive tasks. My work is a little different. As a consultant, I constantly deal with different websites, markets, languages, and highly specific tasks that may never recur. That is why I care less about automating a single operation and more about automating the thinking process around it: how to make a decision, catch a risk, investigate a traffic drop quickly, and spot a technical issue before it grows.&lt;/p&gt;</description></item><item><title>AI for Programmatic SEO: Context Before Content at Scale</title><link>https://m0r9un.com/articles/ai-programmatic-seo-context/</link><pubDate>Thu, 11 Sep 2025 10:00:00 +0300</pubDate><author>vladislavmorgun@gmail.com (Vladislav Morgun)</author><guid>https://m0r9un.com/articles/ai-programmatic-seo-context/</guid><description>&lt;p&gt;Prompt engineering has become a baseline skill. Most specialists already know to define a persona, task, context, and format. The bigger opportunity now is context engineering: building a working environment in which the model receives the right live data, durable project knowledge, examples, constraints, and output structure. At programmatic scale, the quality of that environment matters more than one elegant prompt.&lt;/p&gt;</description></item><item><title>Programmatic SEO Is a Data System, Not a Page Factory</title><link>https://m0r9un.com/articles/programmatic-seo-data-system/</link><pubDate>Tue, 01 Apr 2025 10:00:00 +0300</pubDate><author>vladislavmorgun@gmail.com (Vladislav Morgun)</author><guid>https://m0r9un.com/articles/programmatic-seo-data-system/</guid><description>&lt;p&gt;Programmatic SEO is often reduced to generating thousands of pages from a template. That is the visible output, not the system. Sustainable programmatic SEO combines data analysis, scalable automation, and intent analysis. It creates pages only where the product can satisfy demand, measures whether those pages work, and improves or removes the ones that do not.&lt;/p&gt;</description></item><item><title>The Inspector Gadget Mindset for AI-Assisted SEO</title><link>https://m0r9un.com/articles/inspector-gadget-ai-seo/</link><pubDate>Fri, 11 Oct 2024 10:00:00 +0300</pubDate><author>vladislavmorgun@gmail.com (Vladislav Morgun)</author><guid>https://m0r9un.com/articles/inspector-gadget-ai-seo/</guid><description>&lt;p&gt;The most useful AI skill for an SEO specialist is not memorizing one perfect prompt. It is learning to choose the right tool for the task, understand its limits, and combine it with professional judgment. Inspector Gadget is a useful metaphor: the value is not the number of devices in the hat, but the ability to reach for the right one at the right moment.&lt;/p&gt;</description></item><item><title>Product-Led SEO Starts with Analytics, Not Opinions</title><link>https://m0r9un.com/articles/product-led-seo-analytics/</link><pubDate>Tue, 30 May 2023 10:00:00 +0300</pubDate><author>vladislavmorgun@gmail.com (Vladislav Morgun)</author><guid>https://m0r9un.com/articles/product-led-seo-analytics/</guid><description>&lt;p&gt;Product-led SEO is not a channel that waits for a finished product and then tries to attract traffic to it. It is a way of building the product with search demand, user experience, content, measurement, and iteration in the same loop. That sounds simple, but it changes the questions an SEO specialist must answer. “I think this will help” is no longer enough. We need to explain why a task matters, how it supports growth, what it will cost, and which evidence would change our mind.&lt;/p&gt;</description></item></channel></rss>