Getting Started With kOS
kOS First Time User Experience Welcome Video
In this video, we go over the FTUE (First Time User Experience) that you all will see your first time opening kOS! We tried to make it as streamlined as possible, and took in the feedback of our first adopters to improve the process and give you a great platform to start.
Building your first kBase
How To Use kOS
kOS is full of customization options for your content to help you research and discover more effectively. You can break the interface apart, resize pieces, and always know that kOS can put itself back together.
Switch between copy, linked, and sync mode
kOS offers users the ability to make kBases in a certain mode, and to change that mode if they see fit to take advantage of different attributes.
Copy: Best in case you want to share a kBase as a parcel of information, but larger in size.
Linked: Best if you want your kBase to reflect your file system, but not for sharing.
Sync: Best of both, good for sharing and reflects the the file system, but is still larger in size so may take up memory
Use Presentation mode
Presentation mode is a powerful tool that can scale to immediate need or days of preparation. A user with presentation mode can instantly create slideshows, looping presentations, and proof of work if their research is ever challenged.
Find Intersections using the Word Cloud in kOS
Have you ever wanted a shortcut to know what your documents have in common? With kOS, you can use the word cloud as a powerful time saving tool, so that you can explore common themes, terms, and phrases in your research.
The feature is not limited to this, as you can also see what terms appear in a set of information, as well as what terms are unique to certain documents. This helps to find not just the prevailing themes in your work, but also the things that stand out.
This kBase is made up of an Art magazine in Salt Lake City, Utah. Diverse kBases are wonderful, but setting up topic related kBases can really help tackle a lot of information at once. Back issues of periodicals are among some of our favorites to train the software on.