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

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

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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From content to substance: how digital systems are created that cannot be copied

System instead of individual content

When you move around in the digital space today, you very quickly get a certain impression: if you are visible, you are successful. If you have reach, you have influence. And if you produce a lot of content, you automatically build up something. This equation seems plausible at first glance - but it is deceptive. Because visibility is not ownership. Reach is not ownership. And content is by no means a foundation.

A post can be read thousands of times and yet practically disappear after a few days. A social media post can go viral - and at the same time have no lasting effect. Even well-placed content in search engines is not automatically stable. They depend on algorithms, platform rules and developments that you have no control over.

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ChatGPT data export explained: How your AI chats become a personal knowledge system

ChatGPT data export

If you regularly work with an AI, then you probably know this: one thought leads to the next. You ask a question, get an answer, reformulate, develop an idea further. A short question suddenly turns into a longer dialog. Sometimes it even leads to entire projects.

But most of these conversations disappear again. They lie somewhere in the chat list, slide down and are forgotten over time. This is precisely one of the great features of modern AI systems: While previous conversations with colleagues, friends or advisors only existed in our memories, AI dialogs are completely preserved.

This means something crucial: With every conversation, a digital archive of your thinking is created. This is the first part of a small series of articles that will allow you to export your chat history from ChatGPT and use it effectively as a personal treasure trove of knowledge with your local AI system.

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