<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Product-Architecture on Start AI Tools - Presented by Intent Solutions</title><link>https://startaitools.com/tags/product-architecture/</link><description>Recent content in Product-Architecture on Start AI Tools - Presented by Intent Solutions</description><generator>Hugo</generator><language>en-US</language><copyright>Intent Solutions. All rights reserved.</copyright><lastBuildDate>Thu, 09 Apr 2026 20:29:12 -0500</lastBuildDate><atom:link href="https://startaitools.com/tags/product-architecture/index.xml" rel="self" type="application/rss+xml"/><item><title>IAE Product Architecture: Building a Sellable AI Agent with A2A Protocol and Modular Pricing</title><link>https://startaitools.com/posts/iae-product-architecture-a2a-framework-modular-pricing/</link><pubDate>Mon, 27 Oct 2025 10:00:00 -0500</pubDate><guid>https://startaitools.com/posts/iae-product-architecture-a2a-framework-modular-pricing/</guid><description>&lt;p&gt;Most AI agent projects die as consulting engagements. Someone builds a custom workflow, charges hourly, and the moment they stop touching it, the client churns. The agent was never a product — it was a service wearing a product&amp;rsquo;s clothes.&lt;/p&gt;
&lt;p&gt;I spent the last week turning our intelligence agent into something with a SKU. The result is the Intent Agent Engine (IAE): a two-layer architecture built on Google&amp;rsquo;s A2A Protocol, with modular pricing that lets customers buy exactly the capability they need. Here&amp;rsquo;s how the architecture decisions drove the pricing, and why the obvious approach — one agent, one price — would have killed the business.&lt;/p&gt;</description></item></channel></rss>