<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Product on Greycloak</title><link>https://greycloak.com/tags/product/</link><description>Recent content in Product on Greycloak</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>Copyright © 2023, Vince Wadhwani; all rights reserved.</copyright><lastBuildDate>Fri, 18 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://greycloak.com/tags/product/index.xml" rel="self" type="application/rss+xml"/><item><title>Consumer AI Agents Just Crossed Into Real Adoption</title><link>https://greycloak.com/post/2026-09-18-personal-ai-agents-finally-get-consumer-traction/</link><pubDate>Fri, 18 Sep 2026 00:00:00 +0000</pubDate><guid>https://greycloak.com/post/2026-09-18-personal-ai-agents-finally-get-consumer-traction/</guid><description>
&lt;p&gt;If you build software with an agent inside it, whether a customer-facing product or an internal tool, the bar for what counts as usable just moved. For most of 2026 the working assumption was that AI agents were a business technology, useful for coding and back-office automation but ignored by ordinary consumers. That assumption is now under pressure. Meta's personal agent, Muse, reached number two on the US iPhone free app chart, behind only ChatGPT, and a wave of practitioners who spend their days evaluating these tools started describing them as genuinely part of their daily routine. The reason matters more than the ranking: the patterns that made Muse work are the ones your own users will soon expect.&lt;/p&gt;</description></item><item><title>Where AI creates new offerings, not just savings</title><link>https://greycloak.com/post/2026-09-13-opportunity-ai-using-models-to-do-new-things/</link><pubDate>Sun, 13 Sep 2026 00:00:00 +0000</pubDate><guid>https://greycloak.com/post/2026-09-13-opportunity-ai-using-models-to-do-new-things/</guid><description>
&lt;p&gt;If your AI roadmap is a list of tasks to make cheaper, you're using half the tool. The more useful question for a leadership team right now is where AI lets you offer something you couldn't offer before, because that's where the durable advantage sits. Efficiency gains reset everyone's baseline and quickly become table stakes. The teams that also hunt for new capabilities are the ones likely to pull ahead.&lt;/p&gt;</description></item></channel></rss>