In a year-end essay for Platformer, a journalist describes an LLM-powered wiki as a major shift in their working routine. The piece places that tool at the center of a broader reflection on productivity, suggesting the author now treats AI-assisted note-taking as a core part of daily work rather than a side experiment.
The essay is explicitly personal: it reports what changed for one writer, not what works for everyone. Its value is less as proof of a workplace trend and more as a concrete example of how people are adapting knowledge work around large language models.
Because there is only one source here, there is no independent view to compare. Still, the piece captures a common theme in current writing about AI and work: the most useful tools may be the small, self-made ones that fit an individual workflow.