In operation · An AISYSTEMS project
AI INDUSTRY
Turning technology information into useful knowledge
AI INDUSTRY is a public specialist magazine and knowledge platform developed by AISYSTEMS. It combines readable articles about artificial intelligence, software development, industry and technology with tools that help people find and use that content. Behind the public website is a dedicated editorial environment covering source selection, research and controlled publication.
We develop and operate the project as a practical example of how AI can support information work within a system whose behaviour and results can be inspected.
A magazine that helps readers find their way
The homepage brings together a featured story, recent articles and subject sections. These cover AI systems and development, practical applications, robotics, infrastructure, research and projects in Slovakia. Article introductions help readers decide where to explore further.
Each article is intended to explain what happened, how the technology works and who might find it useful. Source material and the distinction between an announcement, a development result and documented use provide context for judging the information.
Finding connections across the content
Topics connect articles through specific concepts and areas of interest. Readers can move from robotics to agents, AI security, data or building a company with AI. Topic search, sorting and article counts make a growing collection easier to explore.
The platform also supports searching by the meaning of a question and combining it with exact text matching. This helps readers find relevant material without knowing the precise terms used in an article. Results remain linked to published articles and specific passages.
One body of content for people and AI tools
Published knowledge is also available in structured form. A public MCP interface enables compatible AI tools to search the content and retrieve articles, passages and related sources. Public exports and RSS provide further ways to access it.
This layer draws on the magazine’s published content. It does not expose the internal editorial environment or allow visitors to change articles or operate the system. A person can read an article on the website while their tool works with the same content in a structured form.
Control: the editorial workspace
The public magazine is supported by Control, a private administration interface. It brings together processing activity, articles, sources, subject classification, the editorial profile and operational settings. An administrator can inspect individual runs, their outcomes and cases requiring attention.
The editorial profile defines the focus and requirements for new content. Source records distinguish registered material from sources whose extraction has actually been verified. Settings retain a history, while work already in progress keeps its own configuration context.
From sources to publication
The editorial process has distinct steps. The Collector prepares source material. The Editor uses it to draft and assess an article. The Gateway publication layer then applies established rules to determine whether the result can enter the public collection.
The AI model therefore does not have unrestricted direct write access to the website. Unmet requirements and processing problems appear in the editorial environment, and uncertain cases can be separated for further review. Seeing unsuccessful outcomes and their reasons is part of operational control.
Automation with defined boundaries
Control provides editorial schedules, publication limits and financial ceilings. New processing can be paused while its progress is inspected. A schedule determines when work should begin; the number of published articles also depends on the available material and whether the checks are satisfied.
These controls allow automation to develop while keeping its outcomes, costs and operational responsibility visible.
A project developed through practical use
AI INDUSTRY is a publicly available project. We continue to develop its reading experience, search and editorial tools through experience with the running system. For AISYSTEMS, it is also a practical example of connecting software, AI components, source data and operating rules.
These screenshots show the public magazine and internal editorial workspace at the time they were captured. The displayed counts, results and settings are not a live status dashboard.