AskWisely.ai

Read the Paper, Keep the Citations

Summarise technical papers without losing what claim came from where.

A summary that drops citations is worse than no summary, because you will repeat its claims in a client meeting with nothing behind them.

That is the gap this drop closes. It is a data & analysis skill built for Kimi, and it takes about ten minutes to set up the first time. After that it runs in under a minute.

Who should use it

Consultants and analysts who must cite what they claim.

How it works

The skill file does five things, in this order.

1. Load the full papers. Methods and limitations sections included, not just abstracts.

2. Tie every claim to a location. Section and page, so you can check it in the meeting.

3. Separate finding from speculation. Authors' own discussion sections blur this constantly.

4. Extract the limitations. Sample size, timeframe, funding source, and generalisability.

5. Write the citable version. Each sentence carrying its own reference.

What comes back

A claim-by-claim summary with locations, limitations, and confidence levels.

The mistake to avoid

Always ask for the funding source and the limitations section explicitly. Both are usually near the end and are the first thing a sceptical client will ask about.

Running it

Paste the prompt block into a new Kimi chat and attach your files in the same message. Kimi's long context means you should upload everything at once rather than in batches, splitting the input is what causes it to lose cross-references between documents.

Where this fits

On its own, one skill saves an hour a week. The compounding happens when three or four of them run in sequence on the same input, the same transcript that produces a scope of work also produces the follow-up email and the project brief. That is the point at which it stops being a prompt and starts being an internal tool. If you want that wired into the systems your team already uses, that is the work 67 Digital does.

In the file

Summarise these papers so every claim stays traceable.

For each paper:
1. WHAT THEY DID, method in three sentences, plain language.
2. FINDINGS, bullet list. Every bullet ends with (Section X, p.Y). Never
   merge findings from different papers into one bullet.
3. WHAT THEY DID NOT FIND, results explicitly reported as null or
   inconclusive. These are usually omitted from press coverage.
4. LIMITATIONS, sample, timeframe, funding source, conflicts, and stated
   generalisability limits.
5. CONFIDENCE. HIGH / MEDIUM / LOW on the headline claim, with reasoning.

Then across all papers: where they agree, where they conflict, and what a
sceptical reader would attack first.

Get it built

Reading is free. Building is what changes the numbers.

AskWisely is published by 67 Digital, an AI and automation team in Dubai. We take the skills on this site and turn them into systems that run inside your business, connected to the tools your team already uses.

AI agents that actually ship

We build the agent, wire it to your tools, and hand you the keys.

Automation on your stack

n8n, Make, or custom. Connected to the CRM and inbox you already use.

Team training in Arabic & English

Half-day sessions that leave your team using AI on Monday.

Talk to 67 Digital →