<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Tensor7]]></title><description><![CDATA[Tensor7]]></description><link>https://www.tensor7.ai/blog</link><generator>RSS for Node</generator><lastBuildDate>Fri, 12 Jun 2026 08:51:23 GMT</lastBuildDate><atom:link href="https://www.tensor7.ai/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Creating Entities with Temporal Workflows]]></title><description><![CDATA[Introduction This blog post, along with its companion Github repository, demonstrates how to build, test, and run Entities using Temporal Workflows and the Java SDK. Our demonstration use case for this blog is a streaming data pipeline that collects user purchase events and simply aggregates purchase totals and total amount spent by each user in a unique User Entity. Prerequisites This post assumes you have: Familiarity with Java 21+ Basic understanding of Domain-Driven Design concepts Some...]]></description><link>https://www.tensor7.ai/post/creating-entities-with-temporal-workflows</link><guid isPermaLink="false">6a26eb05579005354a9c13b2</guid><pubDate>Tue, 09 Jun 2026 22:35:42 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/a55d0f_ab14f2bfd1314232bbb203b9c6e0ac66~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Michael Read</dc:creator></item><item><title><![CDATA[Temporal Partners with Tensor7]]></title><description><![CDATA[Simple, Resilient, Durable Workflows at the Heart of Enterprise AI. At Tensor7, we build enterprise-grade AI systems that are safe, resilient, and scalable. To do that well, we rely on a carefully selected set of technologies. Among the most powerful in our stack are the foundation models that power intelligence, and the infrastructure platforms that make those systems reliable in production. With regards to infrastructure, two platforms stand out: Akka and Temporal. Today, we want to...]]></description><link>https://www.tensor7.ai/post/tensor7-partners-with-temporal</link><guid isPermaLink="false">6a15d20096a9edf7cb1f2458</guid><pubDate>Tue, 26 May 2026 17:10:21 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/295c6c_c9ccc91b618a423ab55fcde704794245~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>John Mayerhofer</dc:creator></item></channel></rss>