<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI Services on Ted Factory</title><link>https://tedfactory.com/en/tags/ai-services/</link><description>Recent content in AI Services on Ted Factory</description><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 02 Mar 2026 15:55:29 +0900</lastBuildDate><atom:link href="https://tedfactory.com/en/tags/ai-services/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Services and Tools (1): ChatGPT / Gemini / Claude</title><link>https://tedfactory.com/en/books/ai-for-startup/ai-services-and-tools-1/</link><pubDate>Sun, 04 Jan 2026 00:00:00 +0900</pubDate><guid>https://tedfactory.com/en/books/ai-for-startup/ai-services-and-tools-1/</guid><description>&lt;h1 id="ai-services-and-tools-1"&gt;AI Services and Tools (1)&lt;a class="anchor" href="#ai-services-and-tools-1"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;p&gt;There are organizations that build AI models. They may publish their models, offer their own end-user services powered by those models, or provide APIs so developers can use the models. Based on public models, others may also create and release “derivative models” optimized for their own purposes, or ship them as services/APIs.&lt;/p&gt;
&lt;p&gt;Meanwhile, many teams don’t train models from scratch. Instead, they integrate AI features into products quickly by using APIs offered by others. In this ecosystem, new services and tools keep appearing, helping organizations of all sizes—from startups to large enterprises—apply AI to business. In this chapter, we’ll focus on well-known AI services and tools and introduce what each offers and how they’re commonly used.&lt;/p&gt;</description></item></channel></rss>