Barbell reading: daily paper radar

Let AI do the daily paper triage. At 8 AM, three to five frontier ideas land in your knowledge base.

The hardest part of staying current on frontier papers is not reading. It is finding what is actually worth reading. arXiv publishes hundreds of new papers every day, Google Scholar is full of ranking noise, and only a handful are worth real attention. But you usually cannot tell which ones matter until after you open them. That is where most reading plans die.

The logic of a barbell reading strategy is to stay strong at both ends and leave the middle alone. On one end, you read classics to build durable mental models. On the other, you scan frontier papers to collect updates to your worldview. You do not need to fully digest every paper. You only need one transferable structural insight from each. Tell Kollab the research areas you care about and the filter you want. Every morning it selects three to five papers, attaches one cognitive takeaway to each one, and writes the results into your Notion knowledge base. Over a year, those daily starting points compound.

Barbell reading daily paper radar use case visual

Ready-to-run workflow setup

Copy this into Kollab and replace the bracketed placeholders with your own business details.

Run this in Kollab
I am practicing a barbell reading strategy and I want you to help me screen frontier papers every day.

Research areas I care about:
- [for example: the intersection of AI and cognitive science]
- [for example: complex systems and emergence]
- [for example: decision psychology and behavioral economics]

Filtering rules:
- Prioritize research with transferable structure. Can the finding be applied in other fields?
- Prioritize counterintuitive conclusions. It does not need to be the most important paper, as long as it gives me a new angle.
- Send only 3 to 5 papers at a time. Do not send more.

For each paper, output:
Paper title (Chinese translation + original title)
One-sentence conclusion (within 30 Chinese characters)
Structural finding: which other fields could this pattern transfer to?
Deep-read value: high / medium / low
Today's cognitive point: one sentence worth saving to my notes

At the end, gather all of today's cognitive points into one record and write it into my Notion knowledge base automatically.

How the workflow runs

Read through the workflow once, then swap in your own roles, sources, and outputs.

1

Define your paper radar

Tell Kollab which research directions you care about and how you want it to filter. It does not have to chase the hottest paper. It only needs transferable structure.

2

Scan and filter every morning

Every morning at 8 AM, Kollab searches frontier papers, removes the noise with your criteria, and picks the three to five that are actually worth your attention.

3

Review structural insights in 10 minutes

Each paper comes with a one-line conclusion, a transferable insight, and a deep-read score, so you can skim the signal over coffee.

4

Save the cognitive points to Notion

The daily insights are rolled up and written into your Notion knowledge base automatically. A year later, you have a compounding archive of starting points.

One thousand cognitive starting points a year, without reading every paper.

Let Kollab handle the scanning and extraction so your attention stays on the few papers that can actually change how you think.

Build my paper radar →