<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>DigiDuo Blog</title><description>Practical insights on AI automation, workflow systems, and business operations. Based in Latvia, EU.</description><link>https://digiduo.ai/</link><language>en</language><item><title>Asking your business data questions in plain English</title><link>https://digiduo.ai/blog/asking-business-data-questions-plain-english/</link><guid isPermaLink="true">https://digiduo.ai/blog/asking-business-data-questions-plain-english/</guid><description>We built a system where you ask questions in plain language and get answers from live data — without the AI ever seeing your raw dataset.</description><pubDate>Sun, 12 Apr 2026 00:00:00 GMT</pubDate></item><item><title>What we learned building an 18-skill AI workspace</title><link>https://digiduo.ai/blog/what-we-learned-building-18-skill-ai-workspace/</link><guid isPermaLink="true">https://digiduo.ai/blog/what-we-learned-building-18-skill-ai-workspace/</guid><description>We built a complete AI workspace for a professional services firm — 18 workflow skills across tenders, proposals, and marketing. Here is what we learned.</description><pubDate>Sun, 12 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Why AI outputs are generic — and how a knowledge foundation fixes it</title><link>https://digiduo.ai/blog/why-ai-outputs-are-generic/</link><guid isPermaLink="true">https://digiduo.ai/blog/why-ai-outputs-are-generic/</guid><description>If your AI outputs feel generic, the problem is not the model — it is that the AI has no idea who your company is.</description><pubDate>Sun, 12 Apr 2026 00:00:00 GMT</pubDate></item></channel></rss>