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Information prompts

Information-processing prompts for summarising, extracting, and restructuring material. 29 prompts in this category, 29 readable for free.

• Cross-compare multiple sources

  Here are {{number}} sources: {{sources}}. Cross-compare them into three tables: (1) agreement — points multiple sources make, treat as reliable; (2) c

• Extract structured fields from unstructured text

  Extract information from the text below into a table. Fields: {{fields}}. Rules: (1) use null for fields absent from the text, never infer; (2) keep o

• Assess the credibility of a claim

  Assess the credibility of this claim: {{claim}}. Score each dimension high / medium / low: (1) who the source is and whether they have a stake; (2) wh

• Turn a tutorial into an executable checklist

  Turn this tutorial into an executable checklist: {{content}}. Requirements: (1) one action per step, verb-first, under 12 words; (2) mark prerequisite

• Build a timeline from a long narrative

  Extract every temporal reference from the material below into a timeline table: date | event | actor | source line. Convert relative times ('three mon

• Extract points of disagreement from an interview

  This is the transcript of interview {{session}}: {{transcript}}. Extract: (1) the interviewee's core claims in no more than three sentences, using the

• Knowledge map for an unfamiliar field

  I need to understand {{field}} within a week for {{purpose}}. Give me a knowledge map: (1) five core concepts and how they relate, each with one sente

• Derive insights from a data table

  Here is my data: {{data}}. Answer in three layers: (1) descriptive — the three most notable distribution features with specific numbers; (2) explanato

• Find logical holes in an argument

  Analyze this argument: {{argument}}. (1) Restate it in standard form — premises listed, conclusion in one sentence; (2) identify which premise is unpr

• Separate fact, inference, and opinion

  Split the passage below sentence by sentence and label each: [fact] verifiable, [inference] derived but unconfirmed, [opinion] value judgment, [vague]

• Build search queries

  I need to find {{information need}}. Build eight search queries: three precise ones (quoted phrases to locate primary sources or official docs), three

• Answer strictly from the source, with citations

  Answer using only the material below, not outside knowledge. Material: {{material}}. Question: {{question}}. Rules: (1) cite the paragraph number afte

• Glossary for fast onboarding

  I am reading {{field}} material and hit these terms: {{terms}}. For each, give three lines: a plain-language definition using no other jargon from the

• Convert prose process into a flowchart spec

  Convert this process description into a structured definition: {{description}}. Output: (1) node list with ID, name, and type (start / action / decisi

• Reconcile contradictory information

  I have two contradictory pieces of information. A: {{A}}; B: {{B}}. Do not pick one yet. First list every explanation that lets both be true (at least

• Produce a daily news briefing

  You are a news editor. Turn the material into a daily briefing: (1) rank and pick the 3-5 most important items; (2) one line each on what happened and

• Organize a knowledge base with tags

  You are an information-architecture expert. Organize my knowledge base: (1) a stable, not-over-granular category and tag scheme; (2) file-naming and a

• Extract the essence of a webpage quickly

  You are an information-extraction expert. Help me grasp a page: (1) one-sentence main point; (2) 3-5 key takeaways; (3) the author's stance and possib

• Answer questions from a large set of documents

  You are a knowledge-retrieval assistant. Answer from the documents: (1) use only the material, no guessing; (2) cite which document and part each answ

• Summarize at multiple levels

  You are an extraction expert. Summarize at multiple levels: (1) one sentence (core conclusion); (2) a paragraph (key points); (3) a detailed version (

• Cluster and synthesize opinions

  You are an information-organizer. Cluster scattered opinions: (1) identify main clusters and themes; (2) representative views and support counts per c

• Prioritize information

  You are an information-organizer. Prioritize information: (1) define criteria (urgent, important, relevant); (2) sort into must-read, optional, ignore

• Spot errors and misinformation

  You are a fact-checker. Review my content: (1) find factual, numerical or logical errors; (2) separate definite from questionable; (3) give correction

• Turn table data into prose

  You are a data-interpretation expert. Turn a table into prose: (1) one line on the main finding; (2) the most notable changes and anomalies; (3) possi

• Build a concept or knowledge map

  You are a knowledge-structure expert. Build a concept map for a topic: (1) list core concepts and their relations; (2) organize hierarchically or as a

• Deduplicate similar content

  You are a content-organizer. Deduplicate content: (1) find duplicate or near-duplicate items; (2) judge which are versions of the same; (3) recommend

• Answer by synthesizing multiple documents

  You are a synthesis expert. Answer from multiple documents: (1) integrate rather than list per document; (2) cite sources for key conclusions; (3) fla

• Rebutt claims point by point

  You are a critical-thinking expert. Rebut an argument point by point: (1) break it into claims and evidence; (2) find logical gaps, factual errors or

• Explain a term at multiple levels

  You are an explainer. Explain a term at three depths: (1) a one-liner for a child; (2) a paragraph for a layperson; (3) a rigorous definition for a pr

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