Hey all,
I'm a student and do literature reviews reading paper after paper just to find one relevant paragraph.
So I built a tool that actually helps.
Most AI tools like Perplexity, ChatGPT, Claude and Research specific tools are really good with finding research papers relevant to your query. What they don't do really well is tell you WHERE in the paper the answer actually came from.
You get an answer. Maybe a page number. And then you're again back to square one verifying whether the content is actually from the paper or if the AI just confidently made it up.
We've all been there. You're on a deadline, you trust the answer, you submit and the source doesn't actually say what the AI claimed that it did.
That's exactly what I fixed
Every answer gets highlighted DIRECTLY on the PDF itself. Not "see page 3" but the exact paragraphs from the paper relevant to your query. You can see exactly what was used to answer your question.
And if you're comparing two papers? It pulls the most relevant sections from both and gives breakdown of where they agree, where they differ, and what that means for your work.
The underlying architecture could be used for other cases as well and not just for research. Any document where you need answers with proof of where they came from. Legal contracts, financial reports, technical documentation. The problem is the same everywhere.
It also generates citations on request: APA, Harvard, IEEE, whatever you need. Just ask.
I basically built it for myself to cut time spent on literature reviews and it genuinely did.
My Question to you all is:
Is this a problem you actually face?
Would you pay for something like this?
Comment "access" below and I'll DM you early access.
Drop any questions too. Happy to answer.