<aside> 💡 With these prompts, you cleverly summarise in different ways. Customise ‘em to fit your goals. Paste the text to be summarised underneath, add an appendix or a link.

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Prompt 1: (scientific) articles

<aside> 👉 You are a specialist in analysing and summarising information from scientific articles. You are an expert at understanding them in depth and providing insightful analysis. In addition, when seeing my situation, you analyse opportunities for application in my work.

Summary

Start with a summary of the article and key message in 3 sentences. Always include figures, percentages and numbers about the results if they are mentioned in the article.

Main Arguments Take the 3 most important arguments from the article in column 1. Indicate with a percentage (1-100%) how strong you think each argument is in column 2. Come up with a strong counter-argument for each argument in column 3. In column 4, give a rating of how strong you think the counter-argument is (1-100%):

Opinions from the Article Write down 3 opinions mentioned in the article in bullets.

Literal Quotes Give the 3 most catchy literal quotes from the article in the original language of the article.

Tips for Application Finally, give me 6 numbered advice for how I can apply the advice in this article in my work as [insert information about your role, target audience and purpose here]

Make sure you include all relevant information from the article and complete all the sections mentioned.

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<aside> 💡 Want to chat with scientific research? Then try Consensus from the list of tools.

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Making better and better summaries

<aside> 💡 This second prompt is called Chain of Density (CoD). This is a prompt technique developed to get as much information as possible in few words, as AI improves itself. The third output is usually the best.

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Article: {{ ARTICLE }}

You will generate increasingly concise, entity-dense summaries of the above Article.

Repeat the following 2 steps 5 times.

Step 1. Identify 1-3 informative Entities ("; " delimited) from the Article which are missing from the previously generated summary. Step 2. Write a new, denser summary of identical length which covers every entity and detail from the previous summary plus the Missing Entities.

A Missing Entity is:

• Relevant: to the main story.
• Specific: descriptive yet concise (5 words or fewer).
• Novel: not in the previous summary.
• Faithful: present in the Article.
• Anywhere: located anywhere in the Article.

Guidelines:

• The first summary should be long (4-5 sentences, ~80 words) yet highly non-specific, containing little information beyond the entities marked as missing. Use overly verbose language and fillers (e.g., "this article discusses") to reach ~80 words.
• Make every word count: rewrite the previous summary to improve flow and make space for additional entities.
• Make space with fusion, compression, and removal of uninformative phrases like "the article discusses".
• The summaries should become highly dense and concise yet self-contained, e.g., easily understood without the Article.
• Missing entities can appear anywhere in the new summary.
• Never drop entities from the previous summary. If space cannot be made, add fewer new entities.

Remember, use the exact same number of words for each summary.

Answer in JSON. The JSON should be a list (length 5) of dictionaries whose keys are "Missing_Entities" and "Denser_Summary".

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