The honest answer: you do not need to read every new paper. You just need a reliable way to catch the ones that actually matter to you.
That is harder than it sounds. Researchers, students, marketers, and curious people all face the same problem. Studies come out constantly, across dozens of websites and journals, and there is no single inbox for all of them.
Why Keeping Up With Research Feels Impossible
Think about how people usually do it. They bookmark a few journal websites. They check Google Scholar by hand. They follow a few academics on social media and hope the algorithm shows them the right posts.
It works, sometimes. But it takes time every single day, and it is easy to miss things. A study that is directly relevant to your work can sit there for weeks before you stumble across it.
The problem is not laziness. It is that the information is spread across too many places.
What "Tracking Research" Actually Means
Tracking research does not mean reading every paper front to back. It means knowing:
- Which new studies have come out in your area
- What the key findings were, in plain language
- Where you can read more if something looks important
That is a much smaller job. And it is exactly the kind of job that AI can handle.
How AI Changes the Way You Follow Research
An AI research assistant can search the web on a schedule, pick out new papers and summaries in a topic you care about, and send you a short report. You read the report instead of doing the searching yourself.
For example, say you are a physical therapy student and you want to stay up to date on studies about lower back pain treatment. You could set up a weekly search like this:
Track: New research papers and clinical studies on lower back pain treatment published in the last 7 days. Include the study title, a one-sentence summary of the findings, and a link.
That is a plain English prompt. No technical setup. The assistant does the searching, you get the digest in your inbox every week.
This works for any field: nutrition science, climate research, marketing studies, psychology, finance, anything.
Where AIDular Fits In
AIDular is built for exactly this kind of task. You tell it what to track in plain English, choose how often you want updates (daily, weekly, or monthly), and it searches the web and emails you a clean, sourced report.
You do not need to set up any software. There is no RSS feed to configure (RSS is a format some websites use to push updates automatically, and it can be fiddly to get right). You just describe what you want, like you would explain it to a helpful colleague.
The Lite plan is free, so you can try it without putting in a card number.
A Few Topic Ideas to Get You Started
Not sure what to track? Here are some real examples of how people use AI to follow research:
- Students track new papers in their thesis topic so they do not miss key sources
- Coaches and trainers follow sports science studies to update their methods
- Small business owners monitor consumer behavior research to spot shifts early
- Journalists and writers watch for studies that back up or challenge a story they are working on
- Hobbyists follow research in areas they are just curious about, like astronomy or nutrition
None of these people need to be academics. They just want to know what is new.
One Thing Worth Knowing
AI summaries are a starting point, not a finish line. If a study looks important, read the original. Check who funded it and how big the sample was. A good AI research assistant points you in the right direction; you still use your own judgment from there.
That balance is what makes it useful. You save the time spent searching, and you spend that time actually thinking.
If you want to try tracking a research topic without the manual checking, set up your first report free at aidular.com. Pick your topic, set a schedule, and see what lands in your inbox.