<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Explainer - Tag - vo.rs</title><link>https://vo.rs/tags/explainer/</link><description>Explainer - Tag - vo.rs</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</copyright><lastBuildDate>Wed, 13 May 2026 16:30:00 +0000</lastBuildDate><atom:link href="https://vo.rs/tags/explainer/" rel="self" type="application/rss+xml"/><item><title>What Is Agentic AI, and Why Is Everyone Suddenly Talking About It?</title><link>https://vo.rs/story/what-is-agentic-ai-and-why-is-everyone-talking-about-it/</link><description>&lt;p&gt;If you have spent any time near the technology press recently, you will have noticed that the word &amp;ldquo;agentic&amp;rdquo; has quietly taken over. Where last year everyone wanted a chatbot, this year everyone wants an agent. The shift is real, but the hype has run well ahead of the substance, and it is worth slowing down to ask what agentic AI actually means, what it can genuinely do today, and where the marketing outpaces reality.&lt;/p&gt;</description><pubDate>Wed, 13 May 2026 16:30:00 +0000</pubDate></item><item><title>RAG Explained: How AI Stops Making Things Up</title><link>https://vo.rs/story/rag-explained-how-ai-stops-making-things-up/</link><description>&lt;p&gt;Imagine a brilliant colleague who has read most of the internet, speaks with unshakeable confidence, and occasionally invents a fact so smoothly that you only catch it because you happen to know the truth. That is a large language model on a bad day. It is not lying, exactly; it simply does not know what it does not know. Retrieval-Augmented Generation, or RAG, is the technique that hands that colleague a library card and a quiet instruction: before you answer, go and look it up. The result is an AI that grounds its words in real documents rather than in the foggy recollections of its training data.&lt;/p&gt;</description><pubDate>Tue, 07 Apr 2026 11:30:00 +0000</pubDate></item><item><title>What Is an AI Agent, and Should You Trust It with Your Inbox?</title><link>https://vo.rs/story/what-is-an-ai-agent-trust-it-with-your-inbox/</link><description>&lt;p&gt;&amp;ldquo;AI agent&amp;rdquo; is the phrase of the moment, and like most phrases of the moment it is doing a lot of work for a term few people can define. The simplest way to understand it is by contrast: a chatbot talks, an agent acts. One answers your question; the other goes off and tries to get the job done. That difference sounds small and turns out to be enormous, especially once the job in question is something as personal and consequential as managing your email. Let us unpack what an agent really is, and then ask the question in the title properly.&lt;/p&gt;</description><pubDate>Sat, 28 Mar 2026 09:30:00 +0000</pubDate></item><item><title>What Is a Token, Really? How LLMs Read, Reason, and Bill You</title><link>https://vo.rs/story/what-is-a-token-how-llms-read-reason-and-bill-you/</link><description>&lt;p&gt;Every conversation you have with a language model is quietly measured, chopped, and counted in a unit you almost never see. It is not the word, nor quite the letter. It is the token: the atom of AI text, the thing the model actually reads, the thing your bill is calculated from, and the reason your carefully crafted prompt sometimes behaves in ways that feel slightly arbitrary. Understand tokens and a great deal about how these systems read, reason, and charge suddenly clicks into place.&lt;/p&gt;</description><pubDate>Fri, 13 Mar 2026 16:00:00 +0000</pubDate></item></channel></rss>