The reading list is longer than the day
Every search returns more papers than you can read. The skill is not reading faster. It is deciding well what to read at all.
SumAI helps with that first decision. It gives you the substance of a paper or a recorded talk in a couple of minutes, and lets you ask the questions that determine whether it matters to your work.
A screening workflow
Abstracts oversell. A summary of the full text, in the Detailed or Study Guide style, tells you more about what the paper actually did.
Then interrogate. Ask AI is where the time is saved. Useful questions:
| You want to know | Ask |
|---|---|
| Design | “What was the study design and sample size?” |
| Measures | “How was the main outcome measured?” |
| Results | “What are the main findings, with numbers?” |
| Limits | “What limitations do the authors state?” |
| Relevance | “Does this paper address [your topic]? Where?” |
Then read. For the papers that pass, read the methods and results yourself. The summary has told you where to look.
Talks and seminars
A great deal of current work appears first in talks. For a recorded seminar or conference session on YouTube, SumAI gives you chapters and key moments, so you can skip the introduction you already know and go straight to the new results, plus a transcript when you need the speaker’s exact wording.
A caution that matters in research
AI summaries of scientific text have a known failure mode. A 2025 study by Peters and Chin-Yee analyzed thousands of AI-written summaries of scientific texts and found that most models tended to generalize beyond what the original said, for example dropping the qualifiers that limited a finding to a particular group or condition.
So read summaries with that in mind:
- Watch the scope. “The treatment was effective” may have been “effective in this trial, in this population”.
- Check every number against the paper.
- Look for the hedges. If a summary sounds more certain than science usually is, go to the source.
- Never cite the summary. Cite what you have read.
Used as a screening aid and a way to navigate, SumAI saves real time. Used as a replacement for reading, any summarizer will eventually mislead you.
Keeping the trail
Tag each summary with its project and it becomes part of your literature trail: searchable in your library, exportable as Markdown, and linked to its source. When a reviewer asks about a paper you screened last year, you can find out why you set it aside.
Practical limits
- PDFs need selectable text. Old scanned articles need OCR first.
- SumAI reads text, so findings that live only in figures are not included.
- One summary covers one source. It is not a multi-document synthesis tool.
Last updated November 12, 2026.