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Title and abstract screening is the most repetitive part of any review. Written criteria, a three-way decision and AI-assisted first passes make it faster without making it less rigorous. A practical guide.
A proposal is due and the page is blank. A realistic seven-day plan from research question to a cited draft your supervisor can react to, with the steps where tlooto saves the most time.
Reading every paper front to back does not scale. A question-first reading method, plus attaching PDFs to tlooto to pull out claims, methods and limitations, gets you the parts you need without skipping the parts that matter.
Every supervisor asks it, and “nobody has studied this” is rarely true. A research gap is an argument built from the literature. Here is a four-step method to find one you can defend, and where tlooto helps.
A desk rejection costs weeks and a full reformat. Most of them come from scope mismatch, which you can check before you write a single formatting instruction. Here is a practical journal-shortlisting routine and how AI Journal Finder speeds it up.
Editors decide within one paragraph. A five-sentence structure for abstracts that fit the word limit, state the finding with a number, and survive a desk review, plus how to test your abstract against the journals that should publish it.
A broad keyword search can return tens of millions of papers. This routine turns an overwhelming result count into a short, defensible reading list in about thirty minutes.
Author names you recognize, a plausible journal, a year that fits. Fabricated references are the most expensive mistake an AI chatbot can make in academic writing. Here is how to catch them in five minutes, and how to stop producing them in the first place.
An evidence table turns a pile of papers into something you can compare, cite and defend. What columns to use, how to keep it honest, and how tlooto drafts one from screened papers with every row tied to its source.
