Table of Contents
You have read dozens of papers. You know what each one says, yet you are not entirely sure how the studies relate to each other. Where do they agree? Where do they conflict? What is still unanswered?
Working with a lot of ideas is like trying to build something without a frame to hold it up. This post explains why reading more papers does not automatically give you a position, how a comparison table fixes that, and a 2-prompt workflow on Paperpal Agents that turns a list of papers into a clear picture of the field and a defensible research stance.
Why reading more papers isn’t a solution?
Most researchers read paper by paper. You summarize one, then the next, and end up with a stack of individual summaries. What is missing is synthesis: working out how the studies relate to each other.
Synthesis answers questions no single paper can:
- Do the studies reach the same conclusion?
- If they disagree, is there a pattern behind it, such as different methods, populations, or ways of measuring the same thing?
- What has nobody tested yet?
Without that, it is hard to write a convincing introduction, a literature review that goes beyond listing studies, or a discussion that places your results against prior work.
What is a research stance and how do you form it?
A research stance is your evidence-backed position on what the literature shows and where your work fits. It might be that the evidence points in one direction, that it is genuinely mixed, or that the disagreement traces back to a specific factor. It is not a guess or a preference. It is a conclusion you can defend by pointing to the studies.
The fastest way to form a research stance is to line them side by side. Put one study per row and compare them on the same few dimensions, such as how the key variable was measured, the study design, the sample, and the direction of the result.
Picking dimensions that could plausibly explain disagreement is what makes the table useful. Once everything is in one grid, patterns that were invisible across separate summaries become obvious, and so do the outliers that break them.
How to turn your papers into a Research Stance with Paperpal Agents?
Paperpal Agents are AI-powered research assistants that help researchers work through complex academic tasks using natural-language instructions and relevant research context. They bring research, writing, and document-based tasks into one conversational workspace, so researchers can move from an idea or question to a more structured, useful output without switching between multiple tools.
Agents can help build reference-backed outlines, analyze uploaded documents and research libraries, discover recent and relevant literature, refine and rewrite academic text, and work with supporting evidence to address reviewer comments.
Here’s a 3-step workflow that turns a list of papers into a clear landscape of the field. Apply it to your reading to bring the pieces into place and define your own research standpoint.
Step 1: Turn your papers into a comparison table
Give Paperpal your papers. You can attach them to Agents (click + in the Agents chatbox) or just share the DOIs in your prompt.
Then use Prompt 1, which asks Agents to break down the studies along certain dimensions—in case of this example, they are: how AI use was measured, the study design, the sample, and the direction of the effect. This organizes the studies into a clear, comparable map.
The prompt is conservative: if something can’t be confirmed from the paper, it’s marked “unconfirmed” instead of guessing or glossing over it.
PROMPT 1
Here are 5 studies I’ve read on AI use and cognition.
- Gerlich (2025; 10.3390/soc15010006)
- Jain et al. (2026; 10.1007/s10339-026-01375-z)
- Lee et al. (2025; arXiv:2509.16262)
- Cui et al. (2026; 10.1186/s41239-026-00610-z)
- Nie et al. (2025; 10.1007/s10639-025-13735-x)
Produce ONE comparison table, one row per study, recent first order. Use 4 columns: How AI use is measured (how much vs. how) | Study design | Sample type and size | Direction of effect on higher-order cognition.
Rules: keep every cell to one short phrase; if you can’t confirm a cell from the actual paper, write “unconfirmed” rather than guessing; for Direction of effect use negative / mixed / positive plus a 5 to 10 word reason. After the table, list any cells you marked “unconfirmed.”
Step 2: Find the pattern and where it breaks
Prompt 1 gives a table that maps each study along your dimensions.
Prompt 2 turns the comparison into a verdict: do the studies agree, and if not, why? It identifies the dominant trend and flags any study that breaks it, then checks whether the disagreement traces back to one specific factor.
If the evidence is genuinely split, it says so instead of forcing a false consensus. This approach helps you arrive at a defensible stance.
PROMPT 2
Based on the table, tell me how these studies actually line up. Where do they agree, where do they conflict, and does the disagreement organize around one thing; for example, whether they measure how much AI is used vs. how it’s used? Point out any pattern that most of the studies fit, and any study that breaks it. Don’t overstate the consensus; if the evidence is genuinely mixed, say so.
What this research workflow gets you
- One organized table that turns messy reading into comparable data
- Clarity on where the studies agree, disagree, and why
- A defensible research stance, backed by evidence rather than instinct
The comparison table is a basic building block for many research tasks. Beyond forming a stance, you can use it to:
Understand the field
- Get oriented: see who found what, fast
- Sharpen your gap: spot what’s missing
Design your study
- Choose your method: see what each design trades off
- Plan your next experiment: find what hasn’t been tried
Make sense of your results
- Check your numbers: do they match the field?
- Interpret findings: where you agree or differ
Write it up
- Introduction: frame the gap your study fills
- Literature review: organize studies into themes
- Discussion: position your results against prior work
See how Prompt 1 compares studies and spots patterns in seconds:
Apply the recipe to your own reading. Open Paperpal, click Agents in the sidebar, and start with your papers or their DOIs.
