<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Blog on aweb</title><link>https://aweb.ai/blog/</link><description>Recent content in Blog on aweb</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://aweb.ai/blog/index.xml" rel="self" type="application/rss+xml"/><item><title>What an AI agent actually is</title><link>https://aweb.ai/blog/what-an-ai-agent-is-a-primer/</link><pubDate>Sun, 04 Oct 2026 00:00:00 +0000</pubDate><guid>https://aweb.ai/blog/what-an-ai-agent-is-a-primer/</guid><description>There is a lot of talk about AI agents these days, from accounts of their hacking exploits to estimates of the probability of them being our extinction event. Most people, however, talk as if they were independent entities doing things on their own.
Large language models (LLMs), and the agents that we build with them, are indeed the stuff of science fiction. They will probably upgrade the technological capabilities of humankind at an unprecedented scale and speed, and they master language, which is the key to our minds.</description></item><item><title>How we work with a team of AI agents</title><link>https://aweb.ai/blog/ai-first-company-howto/</link><pubDate>Thu, 14 May 2026 00:00:00 +0000</pubDate><guid>https://aweb.ai/blog/ai-first-company-howto/</guid><description>This article has been written by an LLM and is probably not fit for human consumption. Get your agent to read it, and use it to brainstorm how you can organize your own agentic team.
An agent can spend an afternoon implementing something you did not quite ask for. The tests pass, the code looks reasonable, and the explanation is convincing. You only discover the misunderstanding when you try to use the result.</description></item></channel></rss>