AI that genuinely relieves newsrooms.

Under time pressure, there's often little room for fine-tuning: texts need to be shortened, edited and corrected, whilst simultaneously finding the right image crop. Both consume time that's missing from the actual content, often across multiple tools that don't integrate with each other.

With MYCONTENT KI Smart Service (KISS), AI handles the textual fine-tuning directly in the editorial system:
automatically, in your house style, because KISS works with your own training examples rather than generic templates. Convenient and efficient for editors: the appropriate headline is suggested and available for selection from multiple variants.

For images, the forward-looking AI agent system deliberately takes a different approach:
Image crops are created quickly and easily in the editor, but without AI generation, as artificially generated images are highly controversial in any serious journalistic environment. For publishers, this means dual security: faster text work through AI, reliable image work without the risks of generated image content.

Good content alone is rarely enough; it also needs to be found. SEO and GEO optimisation, compelling summaries and clean tagging all influence visibility, yet many newsrooms lack the time or an in-house SEO specialist.

KISS handles these tasks directly within the familiar editorial workflow, tailored to your house style, because KISS is based on your own training examples – not on generic text patterns.
Teasers and summaries are generated automatically, without your team needing SEO expertise. This turns visibility into a task that succeeds alongside daily operations, delivering added value for readers, the newsroom and commercial teams.

In practice, this means:
more articles reach their visibility potential without hiring additional staff or commissioning external agencies. The decision on which suggestion to publish always remains with the newsroom. KISS provides the template, not the final word.

Many AI tools appear to newsrooms as a black box: it remains unclear how results are selected, what they cost and where your own texts ultimately get processed. For a media company that stands for diligence and reliability, this is a risk.

MYCONTENT KISS was developed specifically for journalists and content creators with a digital-first approach, making AI use transparent.
Through your own training examples, the system learns your house style; prompts are created once and then reused, rather than being formulated anew and uncontrolled with each request. Suggestions, such as for headlines, are always selected by your newsroom, not by the AI itself.

There are no surprises with costs: Annual token quotas are included in the packages; additional costs only arise from excess usage, clearly calculable rather than hidden in a billing model. For publishers, this means: AI support that can be explained at any time in terms of results, language and costs.

As the volume of content grows, so does the problem of discoverability: without consistent categories and keywords, older articles disappear into obscurity, connections between topics become invisible, and reusing good content for new formats or channels becomes a search exercise.

MYCONTENT KISS suggests content classification directly within the editorial workflow, without editors having to assign keywords manually or maintain categories themselves.
Classification is automated and consistent, according to the same criteria, regardless of who wrote the article. This transforms a growing content mountain into a structured, usable knowledge base, without additional maintenance effort for your newsroom.

For publishers, this creates more than just organisation:
Cleanly classified content can be reused more strategically, linked together more easily and better prepared for readers, such as in thematic dossiers or recommendations. Internal research in your own archive also becomes noticeably faster and therefore more cost-effective.