Life is too short to read all the articles, blog posts, research papers you wanted to.
Very often, you bookmark dozens of tabs/windows in your browser, which you wanted to read later, but you don’t go back & read them again.
Exactly. So, don’t waste your time reading lengthy documents & really, really longggg articles.
Genei is an artificial intelligence tool that helps you summarize articles & research papers, discover related articles, optimize note-taking, and highlights text for quick referencing.
Genei’s dashboard welcomes you with the nested folder structure.
Say, you are working on 7 articles this week on “Running Effective Facebook Ads”, you can create the folder “Facebook ads” & create several sub-folders, one for each article.
You can then start adding resources in each of your folders. These resources can be webpages, blog posts, research papers, PDFs (either online, or you can upload one from your machine)
Once you add the resource, Genei will start summarizing it for you in the background while you keep adding more files.
Click any of the resources you’ve added, and on the right hand side you would see the AI-generated summary of the same.
It’s so simple… As easy, peasy as that!!
You can ask the Genei to recompute the summary if you’re not content with the one produced.
Clicking any particular section of the summary will take you to the respective section of the original resources you’ve added. You can edit the summary manually as well.
In the very next tab to the summary section, you can write down the notes, just like you would when reading a book.
Wait, we are not going old school here. Genei’s powerful A.I can also take notes for you.
Just select the paragraphs you’d like to add to your notes, from the resource & Genei will take care of the rest (where were you when I was in University?!)
Right after the notes, in the Keywords tab you will see the list of top keywords used in the source documents/articles.
The keyword section allows you to split the document based on keywords w.r.t date, time, country, organizations, people, etc.
With the search function (Ctrl/Cmd+F) you can find everything in the document with a semantic approach – Exact Match, Answer-to-Question Mode and Find Related Content.