A free 38-page ebook by Andreas Anding, distilled from the methodology behind The AI Operating System. The Three Levels framework, the six components of an AI-native operating system, and two exercises that find your highest-leverage workflow in 30 minutes. Not a chapter extract, a standalone resource written for operators who want the core before committing to the full book.
Why AI-as-Tool, AI-as-Specialist, and AI-as-Operator compound at different rates, and where most companies are stuck (Level 01) without knowing it.
The operating system Remote Native installs in 13 weeks. What each component is, why it's load-bearing, and what fails when it's missing.
The Leverage Point Audit and the Operating Hypothesis. Most readers find their highest-leverage workflow in the first exercise, pen and paper, no software.
In 1995, most companies used Excel to do faster versions of what they'd done with ledgers and calculators. The workflow stayed the same. The role of the person stayed the same. They just got faster. A few companies looked at Excel differently, they didn't ask “how do we do this faster?” They asked “what becomes possible now that we can recalculate instantly?”
The ebook contains a 12-question scorecard across six components. The web diagnostic uses the same questions and emails your scored result. Here's one, answer it honestly before you keep scrolling.
Founder of Remote Native. Two decades across operations, technology, and AI delivery on the operator side, leading engineering and AI programs inside companies in Germany, Austria and Switzerland, in insurance, e-mobility and industrial settings. Writes the book the same way he runs engagements: short paragraphs, specific examples, no consulting filler.
First name, work email. We send the PDF + one short newsletter per month, nothing else, ever. Free email domains (gmail, yahoo, hotmail) aren't accepted; the methodology is for operators, not anonymous traffic.
The full book, The AI Operating System: How Leaders Turn AI Into Operating Leverage, is on Amazon, €9.99 Kindle, €19.99 paperback, €29.99 hardcover. Or, if you're a CEO / Vorstand / GF / Founder of a mid-market company (75 to 500 employees), 50 signed copies ship from Andreas's desk each month, free, by request.
Meaningful human oversight requires more than an approval click. Learn how to design an AI intervention queue with prioritisation, context, service levels and feedback capture for high-risk AI controls.
Oct 9, 2026For German, Austrian and Swiss manufacturers, embedded AI is becoming a product security and lifecycle question, not merely an innovation initiative. Understand why vulnerability handling, secure updates and technical evidence must shape AI product delivery from the start.
Sep 30, 2026Most firms will treat AI Act transparency as a policy update. The real challenge is embedding disclosure into CMS, CRM, marketing approval, service desk, and chatbot release workflows, or compliance will depend on employees remembering to label outputs manually.
Jul 23, 2026No mandatory course, no certificate, no guaranteed level and no new deadline: what Article 4 of the EU AI Act asks of companies since the July 2026 amendment.
Jul 22, 2026Estonia's AI agent identity experiment poses a question every enterprise must answer now: can you prove which human sponsor, service account, model, and business process sat behind an autonomous action?
Jul 14, 2026Retailers and manufacturers using embedded GenAI across agencies, DAM systems, and social channels face an EU AI Act transparency obligation that becomes a workflow-control problem the moment creative teams lose asset-level traceability from prompt to publication.
Jul 8, 2026