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LLMS.txt for WordPress: Prepare Your Website for AI Systems with a Free Plugin

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llms.txt WordPress Plugin

For many years, search engine optimization (SEO) was the be-all and end-all for website owners. Anyone who wanted to rank well on Google focused on meaningful headings, high-quality content, fast loading times, and a clean technical structure. These basic rules still apply today and are likely to remain important for a long time to come. At the same time, however, the internet is changing at a pace that would have been hard to imagine just a few years ago. More and more people are no longer asking their questions exclusively through a search engine, but directly to an artificial intelligence system. Whether it’s ChatGPT, Claude, Gemini, or other AI systems—today, a single question is often enough to get a detailed answer without first having to scroll through a search results page.

This raises a new question for website operators: How do these AI systems actually access the right information? And how do they determine which content on a website is particularly important?

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From FileMaker to the Cloud: How SchallOS Connects Business Software with AI, Runtime, and Updates

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SchallOS - Intelligent Application Platform

When developing a business application, the focus is initially on the visible tasks. Tables are created, relationships are defined, input forms are designed, and business processes are automated. As soon as the first users are able to work with the solution, a large part of the project appears to be complete. In practice, however, this is when the more challenging long-term phase begins. A business application must be maintained, expanded, and adapted to new requirements. Changes must be documented, new versions deployed, and existing data securely migrated. Added to this are different user permissions, data backups, error analysis, and the question of whether a solution should be operated locally, on a dedicated server, or in the cloud.

Many development platforms focus primarily on building the actual application. Additional tools and custom processes are added later for updates, documentation, deployment, and operations. Over time, this results in a technical environment consisting of many separate components that can only be kept together with considerable effort. SchallOS therefore takes a more comprehensive approach. The platform is designed to support a business application not only during its creation but throughout its entire lifecycle: from development through documentation and deployment to updates and ongoing operation.

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Wealth in the Ice – Why Greenland’s Resource Boom Remains Uncertain

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Natural Resources in Greenland

Beneath Greenland’s ice lies a promise that has captured the imagination of politicians, businesses, and investors for years: rare earth elements, critical minerals, oil, gas, and other natural resources that could become increasingly important in a world hungry for raw materials. The more climate change alters the Arctic regions, the more often Greenland is described as a future winner in this development.

But it’s not that simple. Between geological deposits and economically viable extraction lie political decisions, high costs, a lack of infrastructure, fluctuating commodity prices, and a population that is not necessarily willing to support every form of industrial development. Greenland is thus less of a surefire raw materials giant than an example of just how wide the gap between potential and reality can be.

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Software Development with Codex, ChatGPT, and AI: A Practical Guide for Developers

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Software Development with AI

If you had asked me a few years ago what software development would look like in ten years, I would probably have talked about new programming languages, better frameworks, or more powerful development environments. Today, my answer would be completely different. The biggest change isn’t happening with the tools, but in the way we as developers think and work.

As I write these lines, I am working on a new software system myself. For the past few weeks, I have been making extensive use of modern AI tools such as Codex and other language models. At first, I was curious; now, I’m mostly impressed. Not because the AI suddenly does everything on its own, but because it handles certain tasks surprisingly well, thereby enabling new ways of working.

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Donald Trump in the US system - origins, power, media and impact

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Donald Trump in the USA system

Donald Trump is no ordinary political figure. He is not a classic statesman, not an ideologically trained party soldier, not a product of decades of Washington networks. Trump is one thing above all: a projection screen. For hopes, for fears, for anger, for rejection - and for expectations that go far beyond concrete policies. This is precisely the reason why a portrait of him makes sense. You don't have to like or dislike him, but he definitely makes something visible that was already there.

Trump does not just stand for decisions or programs. He represents a rupture in the political self-image of the Western world. And this rupture cannot be explained by viewing him merely as a „populist“, „provocateur“ or „accident of history“. If you want to understand Trump, you have to see him as both a symptom and an actor.

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What is the meaning of life? A comparison of religions, philosophers and Helmut Thielicke

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The question of the meaning of life

There are questions that have been with mankind for thousands of years. Questions that never really go away, no matter how modern our world becomes. One of these questions is probably quite simple: What is actually the meaning of life?

Interestingly, the answer „42“ appears again and again today - usually with a little smile. The background comes from „The Hitchhiker's Guide to the Galaxy“ by Douglas Adams. In the story, a highly developed civilization builds a gigantic supercomputer that is supposed to calculate the „answer to the ultimate question about life, the universe and the rest“ over millions of years. In the end, the result is simply: 42. The absurd thing about it is that no one actually knows exactly what the original question was in the end.

That's exactly why this scene became world famous. It is funny, but at the same time surprisingly profound. Because perhaps it describes a basic human problem quite aptly: we often desperately search for answers without even knowing exactly what question we are actually asking.

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How artificial intelligence is changing software development and FileMaker

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AI evolution in the development of FileMaker databases

Anyone currently scrolling through news portals, social networks or business platforms will quickly get the impression that artificial intelligence is changing the entire working world practically overnight. New tools, new language models and new promises appear almost daily. Texts are written automatically, images are generated, videos are created and software is sometimes prepared by voice input.

For many companies, this creates a strange mixture of curiosity and pressure. Because, of course, nobody wants to miss the boat. At the same time, many entrepreneurs, freelancers and developers do not yet know exactly which of these technologies will really remain relevant in the long term. This is probably the real peculiarity of the current AI phase: almost everyone senses that something is changing - but hardly anyone can really reliably assess at the moment how quickly and in which direction.

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How the pandemic taught economists a lesson about inflation, growth and economic recovery

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Economists' assumptions during the pandemic

Even during the coronavirus pandemic, many economists were surprisingly unanimous: the great danger was a phase of low inflation, perhaps even deflation. A few years later, the picture is different. Inflation reached historic highs in many countries, supply chains collapsed and economic developments turned out differently than expected.

The pandemic was not just a health crisis - it was also a stress test for economic forecasts. This article shows where experts were wrong, why this was the case and what lessons can be learned for future assessments.

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