<?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[Vaelith]]></title><description><![CDATA[Vaelith is a professional IT startup building a full-stack documentation platform for IT and business architecture. Vaelith transforms enterprise documents into validated, traceable architectural knowledge using deterministic rule-based extraction, LLM-powered intelligence, dual-path correlation, and a human review gate. Every insight is grounded in verifiable source citations.

Beyond documentation, Vaelith provides architecture-driven security and threat-modeling assessments aligned to industry frameworks and best practices, helping organizations analyze risk, improve system design, and strengthen architectural integrity. The platform also features a blog for product updates, insights, and technical thought leadership.]]></description><link>https://www.vaelith.ai/blog</link><generator>RSS for Node</generator><lastBuildDate>Sat, 18 Apr 2026 08:11:35 GMT</lastBuildDate><atom:link href="https://www.vaelith.ai/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[What Is an Architecture Intelligence Platform?]]></title><description><![CDATA[An Architecture Intelligence Platform turns enterprise documents, code, and runtime data into a single, cited, queryable model of your architecture.]]></description><link>https://www.vaelith.ai/post/the-art-of-effective-communication-in-everyday-life</link><guid isPermaLink="false">69e2857f6df221f3f2cd60f1</guid><pubDate>Fri, 17 Apr 2026 19:09:51 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/a435df_9e373fe3d3c14d3cbc032d2d58d83c15~mv2.png/v1/fit/w_1000,h_563,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Michael Read</dc:creator></item><item><title><![CDATA[Methodology signature]]></title><description><![CDATA[Every architectural claim exists in one of four states: evidenced, inferred, missing, or conflicting. Here's why this matters for audit and compliance.]]></description><link>https://www.vaelith.ai/post/methodology-signature</link><guid isPermaLink="false">69e2bf5fa96d49e56ebe37ab</guid><pubDate>Fri, 17 Apr 2026 05:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/a435df_ae3b012c1cad47609d31c8b5bc00f1f8~mv2.png/v1/fit/w_1000,h_630,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Michael Read</dc:creator></item><item><title><![CDATA[Zero-Hallucination Architecture: How Evidence-Native AI Actually Works]]></title><description><![CDATA[Zero-hallucination architecture docs aren't a slogan. They're a pipeline: deterministic extractors, schema-constrained LLMs, a critic, and a human gate.]]></description><link>https://www.vaelith.ai/post/zero-hallucination-architecture-how-evidence-native-ai-actually-works</link><guid isPermaLink="false">69e2be6443fd38a1bb706c80</guid><pubDate>Fri, 17 Apr 2026 05:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/a435df_273037b620394e0f974d67b5462ab883~mv2.png/v1/fit/w_1000,h_630,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Michael Read</dc:creator></item></channel></rss>