Summarisation Prompting

Introduction

Summarisation prompting is the process of instructing a language model to reduce a large amount of information into a shorter and more useful form.

The source content may be:

• An article
• A research paper
• A meeting transcript
• An email thread
• A technical document
• A book chapter
• A business report
• A customer conversation
• A project update
• A legal or policy document

A good summary does not simply shorten the text. It preserves the main meaning, important facts, decisions, arguments, and conclusions while removing repetition and less useful details.

The quality of the summary depends heavily on the prompt. A basic instruction such as “Summarise this text” may produce a general result, but it may not match the required length, audience, purpose, or output format.

A stronger summarisation prompt clearly defines:

• What content must be summarised
• What information must be preserved
• What information may be removed
• Who will read the summary
• How long the summary should be
• What format should be used
• Whether the model may rephrase the source
• Whether unsupported information is forbidden
• How missing or unclear details should be handled

Why Summarisation Prompting Is Important

Large documents often contain more information than a person can quickly review. Summarisation helps users understand the important content without reading every sentence.

Summarisation prompting is useful because it can:

• Reduce reading time
• Highlight important information
• Support faster decision-making
• Convert technical content into simple language
• Create management-level reports
• Extract decisions and action items from meetings
• Summarise long email conversations
• Create revision notes from chapters
• Compare information from multiple documents
• Prepare content for different audiences
• Reduce unnecessary details
• Improve information accessibility

Poor summarisation can create serious problems. A weak summary may remove an important condition, change the meaning of a statement, miss a decision, or add information that was never present in the source.

For this reason, summarisation prompts should include clear accuracy and preservation rules.

Learning Objectives

After studying this chapter, you should be able to:

• Understand different types of summarisation
• Create prompts for extractive and abstractive summaries
• Generate executive and technical summaries
• Summarise meetings, articles, emails, chapters, and research papers
• Control the length of a summary
• Adapt summaries for different audiences
• Preserve important details from the source
• Prevent unsupported additions
• Define clear output structures
• Create reusable summarisation prompt templates
• Validate whether a summary matches the original content

Basic Structure of a Summarisation Prompt

A complete summarisation prompt normally contains the following parts:

1. Task instruction
2. Source content
3. Summary purpose
4. Target audience
5. Required details
6. Length limit
7. Output format
8. Accuracy rules
9. Exclusion rules
10. Fallback instructions

A basic prompt structure is shown below:

# Task
Summarise the provided content.
# Purpose
Create a quick overview for a project manager.
# Include
Include the main objective, key findings, decisions, risks, and next steps.
# Exclude
Remove repeated explanations, greetings, and unrelated examples.
# Length
Keep the summary between 150 and 200 words.
# Format
Use a short overview followed by bullet points.
# Accuracy
Use only information available in the source.
# Missing information
Write "Not mentioned in the source" when required information is unavailable.
# Source content
[Insert source content here]

This prompt gives the model specific rules instead of leaving the summary style open to interpretation.

Key Principles of Effective Summarisation

An effective summarisation prompt should follow several important principles.

Define the Purpose

The model should know why the summary is being created.

For example:

• To prepare for an examination
• To brief senior management
• To document a meeting
• To understand a research paper
• To review an email conversation
• To explain technical content to beginners

The same source may require different summaries for different purposes.

Define the Audience

A technical expert and a beginner require different levels of detail.

For example:

• Developers may need architecture and implementation details.
• Managers may need risks, costs, progress, and decisions.
• Students may need definitions, concepts, and examples.
• Customers may need benefits and clear next steps.

Control the Length

The prompt should specify the expected length using:

• Number of words
• Number of sentences
• Number of bullet points
• Number of sections
• Percentage of the original length

Preserve Critical Details

The prompt should clearly state which details must not be removed.

These may include:

• Names
• Dates
• Numbers
• Decisions
• Deadlines
• Risks
• Conditions
• Exceptions
• Technical terms
• Supporting evidence

Prevent Unsupported Additions

The model should be told not to add facts, assumptions, opinions, or conclusions that are not present in the source.

Define the Output Format

The output may be requested as:

• Paragraphs
• Bullet points
• Numbered lists
• Tables
• JSON
• Structured sections
• Key-value fields
• Question-and-answer notes

Extractive Summarisation

Extractive summarisation creates a summary by selecting important sentences, phrases, or facts directly from the source.

The selected content is normally copied with little or no rewriting.

How Extractive Summarisation Works

The model identifies source sentences that contain:

• Main ideas
• Important facts
• Key arguments
• Decisions
• Conclusions
• Dates and numbers
• Supporting evidence

It then arranges these selected parts into a shorter output.

Main Characteristics

• Uses wording from the original content
• Reduces the risk of meaning changes
• Preserves exact technical or legal language
• May sound less natural because selected sentences were written for a longer document
• May contain repeated ideas if selection rules are unclear

When to Use Extractive Summarisation

Extractive summarisation is useful for:

• Legal documents
• Policies
• Compliance records
• Research evidence
• Technical specifications
• Official statements
• News quotations
• Audit reports
• Medical or financial records where exact wording matters

Extractive Summarisation Prompt

# Task
Create an extractive summary of the source content.
# Selection rule
Select only the most important sentences from the original text.
# Rewriting rule
Do not rewrite, simplify, or change the selected sentences.
# Include
Include the main issue, supporting facts, decisions, dates, and final conclusion.
# Exclude
Remove repeated statements, background stories, and low-value examples.
# Length
Select a maximum of six sentences.
# Accuracy
Every sentence must appear exactly in the source content.
# Source content
[Insert source content here]

Practical Example

Suppose a project report contains twenty paragraphs. An extractive summary may select:

• The project objective
• The current completion percentage
• The main delay
• The new deadline
• The responsible team
• The final recommendation

The selected sentences remain close to the exact wording of the report.

Benefits

• High traceability
• Easy source verification
• Lower risk of invented information
• Suitable for exact records
• Useful when wording must remain unchanged

Limitations

• The final output may not flow smoothly
• Important ideas may be spread across many sentences
• Long selected sentences may contain unnecessary details
• The summary may lack context
• Exact copying may not help beginner audiences

Abstractive Summarisation

Abstractive summarisation creates a new and shorter explanation of the source content using different wording.

The model understands the main meaning and expresses it in a more concise form.

How Abstractive Summarisation Works

The model:

1. Reads the source content
2. Identifies the central ideas
3. Groups related information
4. Removes repeated details
5. Rewrites the information
6. Produces a clear and connected summary

Main Characteristics

• Uses new sentences
• Combines related ideas
• Produces more natural summaries
• Can simplify difficult content
• Requires stronger accuracy controls
• Has a higher risk of unsupported interpretation

When to Use Abstractive Summarisation

It is useful for:

• Educational notes
• Article summaries
• Chapter summaries
• Business reports
• Product descriptions
• Customer-friendly explanations
• Management briefings
• General document overviews

Abstractive Summarisation Prompt

# Task
Create an abstractive summary of the source content.
# Writing rule
Rewrite the main ideas using clear and simple language.
# Include
Include the central topic, major arguments, important facts, and conclusion.
# Exclude
Remove repetition, minor examples, and unrelated background details.
# Length
Keep the summary between 150 and 180 words.
# Tone
Use a clear and neutral tone.
# Accuracy
Do not add facts or conclusions that are not supported by the source.
# Source content
[Insert source content here]

Example

Original content may explain a system failure through several paragraphs containing technical logs, repeated observations, and different possible causes.

An abstractive summary may state:

“The application became unavailable because the database connection pool reached its maximum limit. Increased traffic created more connections than the configured capacity. The team restored the service by restarting the application and increasing the pool size. A permanent fix will include connection monitoring and load testing.”

This summary uses new wording while preserving the main facts.

Benefits

• Produces natural language
• Combines related ideas
• Reduces repetition
• Supports simple explanations
• Can adapt content for different audiences

Limitations

• May accidentally change meaning
• May remove important conditions
• May introduce unsupported conclusions
• Requires careful validation
• Can oversimplify technical details

Executive Summaries

An executive summary is a short, decision-focused overview prepared for senior leaders, managers, clients, or stakeholders.

Executives usually need the result, business impact, risk, decision, and next action rather than every technical detail.

Main Purpose

An executive summary helps decision-makers quickly understand:

• What happened
• Why it matters
• What has been completed
• What problems exist
• What decision is required
• What action should be taken
• What may happen next

Important Elements

A strong executive summary may contain:

• Business objective
• Current situation
• Key findings
• Business impact
• Financial or operational effect
• Main risks
• Decisions required
• Recommended action
• Next milestone

Information to Avoid

Unless specifically needed, avoid:

• Long technical explanations
• Detailed implementation steps
• Raw logs
• Complete meeting discussions
• Minor examples
• Repeated background information
• Unnecessary history

Executive Summary Prompt

# Role
Act as a senior business analyst.
# Task
Create an executive summary from the provided report.
# Audience
The summary is for senior management.
# Include
Include the business objective, current status, key findings, impact, risks, decisions required, and recommended next steps.
# Exclude
Remove low-level technical details, repeated background information, and minor examples.
# Length
Keep the summary between 200 and 250 words.
# Format
Use the headings Overview, Key Findings, Business Impact, Risks, and Recommended Actions.
# Tone
Use a professional and decision-focused tone.
# Accuracy
Use only information supported by the report.
# Source report
[Insert report here]

Best Practices

• Place the most important result first
• Use measurable information where available
• Clearly separate facts from recommendations
• Mention risks that may affect decisions
• State whether management action is required
• Use simple business language
• Avoid unexplained technical terms

Technical Summaries

A technical summary presents the important technical information from a document without reproducing every implementation detail.

It is commonly used for:

• System design documents
• Architecture reports
• Incident reports
• API documentation
• Code reviews
• Performance reports
• Security assessments
• Database analysis
• Infrastructure documents

Information Commonly Included

A technical summary may contain:

• Technical objective
• System components
• Architecture
• Data flow
• Technologies used
• Main implementation approach
• Technical decisions
• Performance findings
• Security concerns
• Known limitations
• Dependencies
• Recommended changes

Technical Summary Prompt

# Role
Act as a software architect.
# Task
Summarise the technical document.
# Audience
The audience includes developers, testers, architects, and DevOps engineers.
# Include
Include the system purpose, architecture, major components, technologies, data flow, technical decisions, dependencies, risks, limitations, and recommended improvements.
# Preserve
Preserve API names, class names, configuration values, error codes, version numbers, and measurable results.
# Exclude
Remove repeated descriptions, general introductions, and unrelated business content.
# Length
Keep the summary below 500 words.
# Format
Use clear technical headings and bullet points.
# Accuracy
Do not guess missing technical details.
# Missing details
Write "Not specified" for required information that is unavailable.
# Source document
[Insert technical document here]

Technical Example

For a Spring Boot incident report, the summary may include:

• Application version
• Affected service
• Error code
• Root cause
• Database query time
• Memory usage
• Temporary solution
• Permanent correction
• Monitoring requirement

Best Practices

• Preserve exact technical names
• Do not simplify values that affect implementation
• Separate root cause from symptoms
• Mention system dependencies
• Include measurable performance results
• Clearly identify assumptions
• Do not invent missing architecture details

Meeting Summaries

A meeting summary converts a meeting transcript, recording, or set of notes into a structured record.

A useful meeting summary should not repeat the full discussion. It should capture the outcomes of the discussion.

Important Meeting Information

A meeting summary commonly contains:

• Meeting title
• Date and time
• Participants
• Purpose
• Main discussion points
• Decisions
• Action items
• Action owners
• Deadlines
• Risks
• Open questions
• Next meeting details

Difference Between Discussion and Decision

A discussion point is an idea or issue that participants talked about.

A decision is an agreed outcome.

The prompt should tell the model not to present suggestions as final decisions.

Meeting Summary Prompt

# Task
Create a structured summary of the meeting transcript.
# Include
Include the meeting purpose, key discussion points, confirmed decisions, action items, owners, deadlines, risks, unresolved questions, and next meeting details.
# Decision rule
Mark an item as a decision only when the participants clearly agreed to it.
# Action rule
Do not assign an owner or deadline unless it is clearly mentioned.
# Format
Use the headings Meeting Overview, Discussion Points, Decisions, Action Items, Risks, Open Questions, and Next Meeting.
# Action item format
Display each action item as Action, Owner, Deadline, and Status.
# Accuracy
Do not add participants, decisions, owners, or deadlines.
# Missing information
Use "Not assigned" or "Not mentioned" when required information is missing.
# Meeting transcript
[Insert transcript here]

Action Item Example

Common Errors

• Treating a suggestion as a decision
• Assigning an action to the wrong person
• Inventing deadlines
• Removing important objections
• Missing unresolved issues
• Including casual conversation
• Mixing action items with general discussion

Article Summaries

Article summarisation reduces a long article into its most important ideas, arguments, evidence, and conclusion.

The summary format depends on the type of article.

Examples include:

• News articles
• Educational articles
• Opinion articles
• Technical articles
• Business articles
• Product reviews
• Case studies

Important Elements

An article summary may include:

• Main topic
• Author’s central argument
• Key supporting points
• Evidence or examples
• Important facts
• Conclusion
• Limitations
• Viewpoint or bias, when relevant

Article Summary Prompt

# Task
Summarise the provided article.
# Include
Include the main topic, central argument, key supporting points, important evidence, and conclusion.
# Perspective rule
Clearly separate the author's claims from verified facts.
# Exclude
Remove repeated explanations, promotional text, and minor examples.
# Length
Use five to seven bullet points.
# Tone
Use a neutral and informative tone.
# Accuracy
Do not add external facts or personal opinions.
# Article
[Insert article here]

News Article Summary

For a news article, preserve:

• Event
• Location
• Date
• People or organisations involved
• Confirmed facts
• Official statements
• Current status

Do not present early claims as confirmed facts.

Opinion Article Summary

For an opinion article, preserve:

• Author’s main position
• Supporting arguments
• Assumptions
• Counterarguments
• Final recommendation

Clearly label opinions as the author’s views.

Research Paper Summaries

Research paper summarisation requires more structure than general article summarisation.

A paper may contain specialised terminology, research methods, statistical results, limitations, and evidence-based conclusions.

Important Sections to Capture

A research paper summary should usually contain:

• Research problem
• Research objective
• Research question
• Hypothesis
• Methodology
• Dataset or sample
• Experimental design
• Major findings
• Statistical results
• Conclusion
• Limitations
• Future research
• Practical importance

Research Paper Summary Prompt

# Role
Act as an academic research assistant.
# Task
Create a structured summary of the research paper.
# Include
Include the research problem, objective, research questions, methodology, dataset, sample size, experiment design, major findings, statistical results, conclusion, limitations, and future work.
# Preserve
Preserve important numerical values, metric names, confidence levels, sample sizes, and technical terminology.
# Evidence rule
Clearly distinguish measured results from author interpretation.
# Exclude
Remove repeated literature review details unless they are required to understand the research gap.
# Length
Keep the summary between 600 and 800 words.
# Format
Use the headings Background, Objective, Methodology, Findings, Conclusion, Limitations, and Future Work.
# Accuracy
Do not claim causation when the paper reports only correlation.
# Missing information
Write "Not reported" when a required research detail is unavailable.
# Research paper
[Insert research paper content here]

Special Accuracy Rules

When summarising research, the model should not:

• Change correlation into causation
• Ignore sample size
• Remove negative results
• Hide study limitations
• Generalise beyond the studied population
• Replace reported values with estimated values
• Present the hypothesis as a proven conclusion
• Combine findings from unrelated experiments

Simplified Research Summary

A second version may be requested for non-technical readers.

# Task
Explain the research paper in simple language.
# Audience
The audience has no research or technical background.
# Include
Explain what the researchers studied, how they studied it, what they found, why it matters, and what limitations remain.
# Terminology
Explain technical terms in simple words when they are first used.
# Length
Keep the summary below 400 words.
# Accuracy
Do not remove conditions that affect the meaning of the findings.
# Research paper
[Insert research paper content here]

Email Summaries

Email summarisation converts one email or a long email thread into a short record of the important information.

It is especially useful when a conversation contains:

• Multiple replies
• Repeated quoted messages
• Different participants
• Changing requirements
• Decisions
• Questions
• Attachments
• Deadlines
• Action items

Information to Capture

An email summary may contain:

• Main subject
• Participants
• Current request
• Important background
• Confirmed decisions
• Pending questions
• Action items
• Responsible people
• Deadlines
• Attachments mentioned
• Latest status

Email Thread Summary Prompt

# Task
Summarise the email thread.
# Reading order
Identify the message order before creating the summary.
# Include
Include the main subject, current request, important updates, confirmed decisions, pending questions, action items, owners, deadlines, and latest status.
# Exclude
Remove greetings, signatures, disclaimers, repeated quoted messages, and unrelated conversation.
# Attribution
Clearly mention who requested, approved, rejected, or changed each important item.
# Format
Use the headings Overview, Key Updates, Decisions, Pending Questions, Action Items, and Current Status.
# Accuracy
Do not invent approvals, owners, deadlines, or attachment contents.
# Email thread
[Insert email thread here]

Daily Inbox Summary Prompt

# Task
Create a daily summary of the provided emails.
# Grouping
Group emails by Urgent, Action Required, Waiting for Reply, Informational, and Low Priority.
# Include
Include sender, subject, required action, deadline, and current status.
# Exclude
Ignore newsletters and promotional messages unless they require action.
# Length
Use one or two lines for each email.
# Accuracy
Do not mark an email as urgent unless the content supports that classification.
# Emails
[Insert emails here]

Common Errors

• Ignoring the latest reply
• Mixing old and current requirements
• Missing a changed deadline
• Removing the identity of the decision-maker
• Inventing attachment details
• Treating a question as an agreement
• Including signatures and disclaimers

Chapter Summaries

A chapter summary explains the main knowledge contained in a book, tutorial, training module, or educational chapter.

Its purpose is usually learning, revision, or knowledge retention.

Important Elements

A chapter summary may include:

• Chapter purpose
• Main concepts
• Important definitions
• Rules or principles
• Processes
• Examples
• Advantages and limitations
• Common mistakes
• Key takeaways
• Revision questions

Chapter Summary Prompt

# Role
Act as an educational content summariser.
# Task
Create a study-focused summary of the chapter.
# Audience
The audience includes beginner-level students.
# Include
Include the chapter purpose, important definitions, main concepts, processes, examples, common mistakes, and key takeaways.
# Explanation rule
Explain difficult terms using simple language.
# Exclude
Remove repeated examples and decorative content.
# Length
Keep the summary between 800 and 1000 words.
# Format
Use clear headings, bullet points, and a final revision checklist.
# Accuracy
Preserve rules, conditions, exceptions, and technical terms.
# Chapter content
[Insert chapter content here]

Revision Notes Prompt

# Task
Convert the chapter into revision notes.
# Include
Include definitions, formulas, rules, differences, steps, examples, and common mistakes.
# Format
Use short bullet points.
# Length
Use a maximum of twelve sections.
# Final section
Add ten quick revision questions without answers.
# Accuracy
Use only the chapter content.
# Chapter
[Insert chapter here]

Best Practices

• Keep related concepts together
• Preserve the learning order
• Include important examples
• Highlight differences between similar concepts
• Mention exceptions
• Avoid removing definitions
• Add a final quick-review section

Bullet-Point Summaries

A bullet-point summary presents information as short and separate points.

This format is useful for quick reading and scanning.

When to Use Bullet-Point Summaries

Use bullet points for:

• Study notes
• Meeting results
• Project updates
• News summaries
• Product comparisons
• Technical findings
• Task lists
• Risk summaries
• Daily reports
• Email overviews

Characteristics of Good Bullet Points

Each bullet point should:

• Contain one main idea
• Be understandable without unnecessary context
• Avoid repeating another point
• Start with a clear subject or action
• Preserve important names, values, and dates
• Use parallel sentence structure where possible

Bullet-Point Summary Prompt

# Task
Summarise the source content using bullet points.
# Point rule
Include only one main idea in each bullet point.
# Include
Include the objective, main facts, findings, decisions, risks, and next steps.
# Exclude
Remove repetition, minor examples, and background details.
# Length
Use exactly eight bullet points.
# Style
Keep each bullet point below twenty-five words.
# Accuracy
Do not combine unrelated facts in one point.
# Source content
[Insert source content here]

Advantages

• Easy to scan
• Simple to review
• Useful on mobile screens
• Supports quick decision-making
• Helps separate ideas
• Suitable for presentations

Limitations

• May remove connections between ideas
• May oversimplify complex arguments
• Can hide the order of events
• May not provide enough context
• Can become repetitive without grouping rules

Length-Controlled Summaries

Length-controlled summarisation requires the model to produce a summary within a specific size.

Length may be controlled by:

• Word count
• Sentence count
• Character count
• Bullet count
• Paragraph count
• Percentage of source length
• Reading time
• Output sections

Word-Controlled Summary

# Task
Summarise the source content.
# Length
Write between 180 and 200 words.
# Include
Preserve the main topic, key facts, conclusion, and important numbers.
# Exclude
Remove repetition and minor examples.
# Accuracy
Do not add unsupported information.
# Source content
[Insert source content here]

Sentence-Controlled Summary

# Task
Summarise the source content in exactly five sentences.
# Sentence 1
State the main topic and purpose.
# Sentence 2
Explain the first major point.
# Sentence 3
Explain the second major point.
# Sentence 4
Present the main result or impact.
# Sentence 5
State the conclusion or next action.
# Accuracy
Use only information from the source.
# Source content
[Insert source content here]

Multi-Level Summary Prompt

# Task
Create three summaries of the same source.
# Version 1
Create a one-sentence summary.
# Version 2
Create a five-bullet summary.
# Version 3
Create a detailed summary between 300 and 400 words.
# Consistency
All versions must preserve the same central meaning.
# Accuracy
Do not add information outside the source.
# Source content
[Insert source content here]

Challenges

Very short limits may force the model to remove important details.

The prompt should define the priority order.

For example:

# Priority order
Preserve confirmed decisions first.
Preserve deadlines and owners second.
Preserve major risks third.
Remove background and examples before removing critical facts.

This tells the model what to keep when the available space is limited.

Audience-Specific Summaries

Audience-specific summarisation adapts the content according to the reader’s knowledge, role, needs, and purpose.

The same document can produce very different summaries.

Common Audience Types

• Beginners
• Students
• Developers
• Technical architects
• Project managers
• Senior executives
• Customers
• Investors
• Legal teams
• Support agents
• General public

Beginner Summary

A beginner summary should:

• Use simple terms
• Explain technical words
• Provide basic context
• Avoid unexplained abbreviations
• Include simple examples
• Focus on understanding

Expert Summary

An expert summary may:

• Preserve technical language
• Focus on implementation details
• Include metrics and limitations
• Skip basic definitions
• Highlight advanced findings
• Use domain-specific terminology

Audience-Specific Prompt

# Task
Summarise the technical document for a beginner audience.
# Audience knowledge
Assume the reader has no prior knowledge of the topic.
# Language
Use simple and direct language.
# Terminology
Explain each important technical term when it first appears.
# Include
Include the purpose, basic process, benefits, limitations, and one simple example.
# Exclude
Remove low-level configuration and implementation details.
# Length
Keep the summary below 500 words.
# Accuracy
Simplify the explanation without changing the technical meaning.
# Source document
[Insert technical document here]

Multiple-Audience Prompt

# Task
Create three summaries from the same source.
# Summary 1
Write a simple explanation for a beginner.
# Summary 2
Write a technical summary for a software developer.
# Summary 3
Write a business summary for a senior manager.
# Consistency
Preserve the same facts across all summaries.
# Adaptation
Change only the terminology, detail level, focus, and explanation style.
# Accuracy
Do not add audience-specific assumptions.
# Source content
[Insert source content here]

Important Rule

Audience adaptation should change how the information is explained, not the underlying facts.

Preserving Important Details

A summary becomes unreliable when it removes information that changes the meaning of the source.

Important details often include:

• Names
• Dates
• Amounts
• Measurements
• Deadlines
• Conditions
• Exceptions
• Warnings
• Decisions
• Responsibilities
• Dependencies
• Risks
• Version numbers
• Error codes
• Statistical values
• Negative findings

Preservation Prompt

# Task
Summarise the source content while preserving all critical details.
# Preserve
Preserve names, dates, numbers, amounts, deadlines, decisions, conditions, exceptions, warnings, risks, and responsibilities.
# Compression rule
Shorten explanations but do not remove details that affect the meaning.
# Exclude
Remove greetings, repetition, minor examples, and decorative descriptions.
# Length
Reduce the source to approximately thirty percent of its original length.
# Validation
Verify that every critical value in the summary matches the source.
# Source content
[Insert source content here]

Importance Ranking

When the summary must be very short, assign a priority to information.

Example priority:

1. Final decisions
2. Required actions
3. Owners and deadlines
4. Major risks
5. Important evidence
6. Supporting context
7. Minor examples

Preservation Checklist

Before finalising a summary, verify:

• Are all names correct?
• Are all dates correct?
• Are numbers and units unchanged?
• Are decisions represented correctly?
• Are conditions preserved?
• Are exceptions included?
• Are warnings still visible?
• Are responsibilities assigned correctly?
• Are findings separated from opinions?
• Has any important negative result been removed?

Common Preservation Failure

Original statement:

“The deployment may proceed on Friday only if security testing is completed and no critical vulnerabilities remain.”

Incorrect summary:

“The deployment will proceed on Friday.”

The summary incorrectly removes the condition.

Correct summary:

“The deployment may proceed on Friday only after security testing is completed and all critical vulnerabilities are resolved.”

Avoiding Unsupported Additions

An unsupported addition is information included in the summary that does not appear in or logically follow from the source.

Unsupported additions may include:

• Invented facts
• Assumed reasons
• Unconfirmed decisions
• Missing names
• Estimated values
• Personal opinions
• External knowledge
• Predictions
• Exaggerated conclusions
• Implied causation

Why Unsupported Additions Occur

They may occur when:

• The source is incomplete
• The prompt asks for missing details
• The model tries to make the summary more complete
• The model uses general background knowledge
• The source contains unclear references
• The expected format requires unavailable fields
• The model interprets suggestions as facts

Anti-Hallucination Prompt

# Task
Summarise the provided source.
# Source restriction
Use only information explicitly stated in the source.
# Unsupported content rule
Do not add assumptions, external facts, estimated values, causes, motives, opinions, or predictions.
# Missing information
Write "Not mentioned in the source" when required information is unavailable.
# Unclear information
Mark unclear statements as "Unclear from the source."
# Conflict handling
Report conflicting statements instead of selecting one without evidence.
# Accuracy check
Verify that every summary statement can be traced to the source.
# Source content
[Insert source content here]

Handling Missing Information

The model should not fill missing fields using guesses.

Use clear fallback values such as:

• Not mentioned
• Not assigned
• Not reported
• Unknown from the source
• Unclear from the available information
• No deadline provided
• No decision confirmed

Handling Contradictions

When the source contains conflicting information, the summary should preserve the conflict.

Example:

“The first email gives 10 August as the deadline, while the latest reply changes it to 14 August.”

The model should not silently choose one date unless the latest message clearly replaces the earlier date.

Fact Verification Prompt

# Review task
Compare the draft summary with the source content.
# Check 1
Identify every claim that is not directly supported by the source.
# Check 2
Identify any changed names, dates, numbers, conditions, or conclusions.
# Check 3
Identify important source details missing from the summary.
# Output
Return Supported Claims, Unsupported Claims, Missing Details, and Corrected Summary.
# Source content
[Insert source content here]
# Draft summary
[Insert draft summary here]

Summarisation Prompt Templates

Reusable templates improve consistency and reduce the chance of missing important instructions.

The following templates can be adapted for different summarisation tasks.

General Summarisation Template

# Role
Act as an expert content summariser.
# Task
Summarise the provided source content.
# Purpose
[Describe why the summary is needed]
# Audience
[Describe the target audience]
# Include
[List the information that must be preserved]
# Exclude
[List the information that may be removed]
# Length
[Define the word, sentence, paragraph, or bullet limit]
# Format
[Define the required output structure]
# Tone
[Define the expected tone]
# Accuracy
Use only information supported by the source.
# Missing information
Write "Not mentioned in the source" for unavailable required details.
# Source content
[Insert source content here]

Concise Summary Template

# Task
Create a concise summary of the source.
# Include
Include only the central topic, three main points, and final conclusion.
# Exclude
Remove examples, repetition, background history, and minor details.
# Length
Keep the summary below 120 words.
# Format
Use one paragraph.
# Accuracy
Do not add unsupported information.
# Source
[Insert source content here]

Detailed Summary Template

# Task
Create a detailed summary of the source content.
# Include
Include the purpose, background, main arguments, evidence, examples, findings, limitations, and conclusion.
# Structure
Organise related information under clear headings.
# Length
Keep the summary between 800 and 1000 words.
# Accuracy
Preserve important names, dates, values, conditions, and exceptions.
# Unsupported additions
Do not use facts or opinions outside the source.
# Source
[Insert source content here]

Key Findings Template

# Task
Extract and summarise the key findings from the source.
# Include
Include each finding, supporting evidence, measurable result, limitation, and business or technical impact.
# Format
Use a numbered list.
# Point rule
Use one finding per numbered item.
# Accuracy
Do not present suggestions or assumptions as findings.
# Source
[Insert source content here]

Decision and Action Summary Template

# Task
Summarise the decisions and actions from the source.
# Include
Include confirmed decisions, required actions, owners, deadlines, dependencies, and risks.
# Decision rule
Include only clearly confirmed decisions.
# Action rule
Do not invent an owner or deadline.
# Format
Use separate Decisions and Action Items sections.
# Missing information
Use "Not assigned" and "No deadline provided" where required.
# Source
[Insert source content here]

Comparison Summary Template

# Task
Summarise and compare the options described in the source.
# Comparison fields
Compare purpose, features, benefits, limitations, cost, risk, and recommended use case.
# Format
Use a comparison table followed by a short conclusion.
# Recommendation rule
Provide a recommendation only when the source contains enough evidence.
# Accuracy
Do not add features or values not mentioned in the source.
# Source
[Insert source content here]

Chronological Summary Template

# Task
Summarise the events in chronological order.
# Include
Include the date, event, people involved, result, and current status.
# Ordering
Arrange events from earliest to latest.
# Conflict handling
Mention changed dates or conflicting event descriptions.
# Format
Use a timeline table.
# Accuracy
Do not estimate missing dates.
# Source
[Insert source content here]

Simple-Language Summary Template

# Task
Explain and summarise the source in simple language.
# Audience
Assume the reader is a beginner.
# Language
Use short sentences and common words.
# Terminology
Explain technical terms using simple definitions.
# Include
Include the main concept, how it works, why it matters, and one example.
# Length
Keep the summary below 500 words.
# Accuracy
Simplify the language without changing the meaning.
# Source
[Insert source content here]

Structured JSON Summary Template

# Task
Summarise the source using the required JSON structure.
# Required fields
Include title, overview, key_points, decisions, action_items, risks, missing_information, and conclusion.
# Data rules
Return key_points, decisions, action_items, and risks as arrays.
# Missing values
Use null when a single value is unavailable.
# Empty collections
Use an empty array when no items are available.
# Accuracy
Use only information from the source.
# Output rule
Return valid JSON only.
# Source
[Insert source content here]

Expected structure:

{
  "title": "Document title",
  "overview": "Short overview",
  "key_points": [
    "Key point one",
    "Key point two"
  ],
  "decisions": [
    "Confirmed decision"
  ],
  "action_items": [
    {
      "action": "Required action",
      "owner": "Assigned owner",
      "deadline": "Mentioned deadline"
    }
  ],
  "risks": [
    "Identified risk"
  ],
  "missing_information": [
    "Required detail not found"
  ],
  "conclusion": "Final conclusion"
}

Summary with Source Evidence Template

# Task
Summarise the source and provide evidence for every important point.
# Include
Include the main topic, findings, decisions, and conclusion.
# Evidence
After each summary point, include the supporting sentence or section reference from the source.
# Unsupported content
Exclude any point that cannot be traced to the source.
# Format
Use Summary Point, Source Evidence, and Importance.
# Source
[Insert source content here]

Step-by-Step Summarisation Workflow

A reliable summarisation process can be divided into clear steps.

Step 1: Identify the Summary Purpose

Determine what the reader needs from the summary.

Examples:

• Quick understanding
• Business decision
• Technical review
• Examination preparation
• Meeting follow-up
• Risk analysis

Step 2: Analyse the Source Type

Identify whether the source is:

• Narrative
• Technical
• Academic
• Conversational
• Instructional
• Legal
• Business-focused
• Data-focused

The source type affects what information must be preserved.

Step 3: Define the Audience

Determine the reader’s:

• Knowledge level
• Role
• Interest
• Decision authority
• Available reading time

Step 4: Define Required Details

List the information that must appear in the summary.

For example:

• Objective
• Findings
• Decisions
• Actions
• Risks
• Deadlines
• Conclusion

Step 5: Define Exclusion Rules

Identify information that can be removed.

For example:

• Greetings
• Repetition
• Minor examples
• Decorative language
• Long background stories
• Unrelated content

Step 6: Select the Summary Method

Choose between:

• Extractive summarisation
• Abstractive summarisation
• Hybrid summarisation

A hybrid summary preserves exact critical statements while rewriting supporting information.

Step 7: Define Length and Format

Specify:

• Word count
• Number of points
• Required headings
• Table fields
• Output language
• Tone

Step 8: Generate the Draft Summary

Create the first summary based on the prompt.

Step 9: Validate the Summary

Check the summary against the source.

Verify:

• Facts
• Names
• Dates
• Numbers
• Decisions
• Conditions
• Exceptions
• Missing details
• Unsupported statements

Step 10: Refine the Summary

Improve:

• Clarity
• Flow
• Relevance
• Conciseness
• Structure
• Audience suitability

Hybrid Summarisation

Hybrid summarisation combines extractive and abstractive methods.

It may:

• Preserve exact quotations, numbers, legal terms, or technical values
• Rewrite background and supporting explanations
• Combine several related points into one clear statement
• Maintain accuracy while improving readability

Hybrid Summary Prompt

# Task
Create a hybrid summary of the source content.
# Extractive rule
Preserve exact wording for confirmed decisions, legal conditions, numerical findings, warnings, and official statements.
# Abstractive rule
Rewrite background information and repeated explanations using concise language.
# Include
Include the objective, findings, evidence, decisions, risks, and conclusion.
# Length
Keep the summary between 300 and 400 words.
# Accuracy
Do not change the meaning of preserved statements.
# Source
[Insert source content here]

Hybrid summarisation is useful when both readability and exact detail are important.

Summary Validation Checklist

Use the following checklist before accepting a generated summary.

Content Check

• Does the summary contain the main topic?
• Are the major points included?
• Is the conclusion preserved?
• Are important decisions included?
• Are action items present?
• Are risks and limitations mentioned?
• Are important conditions preserved?

Accuracy Check

• Are names spelled correctly?
• Are dates correct?
• Are numbers and units unchanged?
• Are technical terms accurate?
• Are findings represented correctly?
• Are opinions labelled as opinions?
• Are contradictions preserved?
• Are unsupported facts removed?

Format Check

• Does the output follow the requested structure?
• Is the summary within the length limit?
• Are headings used correctly?
• Does each bullet contain one main idea?
• Are required fields included?
• Are missing values handled correctly?

Audience Check

• Is the language suitable for the reader?
• Are difficult terms explained where needed?
• Is unnecessary detail removed?
• Is the summary useful for the intended purpose?
• Is the tone suitable?

Common Summarisation Prompting Mistakes

Using Only “Summarise This”

This instruction does not define:

• Required length
• Audience
• Important details
• Format
• Accuracy rules
• Exclusion rules

As a result, the output may not meet the actual need.

Asking for an Extremely Short Summary

A very small word limit may remove:

• Conditions
• Exceptions
• Risks
• Supporting evidence
• Important decisions

The prompt should define what must be preserved first.

Not Defining the Audience

Without an audience, the model may use language that is too technical or too basic.

Not Preventing Unsupported Additions

The model may fill missing information using assumptions unless the prompt includes source-only rules.

Mixing Extraction and Rewriting Rules

A prompt should clearly say whether the model may rewrite the source.

Ignoring Source Order

Email threads and timelines require correct chronological order.

Removing Negative Findings

A balanced summary should include unsuccessful results, risks, and limitations when they are important.

Treating Suggestions as Decisions

This is a common meeting and email summary error.

Losing Important Numbers

Changing or removing numbers can make technical, financial, and research summaries unreliable.

Not Validating the Result

A fluent summary is not automatically an accurate summary.

Best Practices for Summarisation Prompting

• Clearly define the summary purpose.
• Identify the target audience.
• Specify the summary type.
• Define what must be included.
• Define what may be excluded.
• Set a measurable length limit.
• Request a clear output structure.
• Preserve critical names, dates, numbers, and conditions.
• Prevent unsupported additions.
• Define how missing information should be displayed.
• Separate facts, opinions, findings, and recommendations.
• Request chronological order when summarising events.
• Validate important claims against the source.
• Use a second verification prompt for high-risk content.
• Refine the prompt when the summary repeatedly misses the same details.

Complete Advanced Summarisation Prompt

# Role
Act as a professional document analyst and summarisation specialist.
# Task
Analyse and summarise the provided source content.
# Purpose
Create a reliable summary that supports quick understanding and decision-making.
# Audience
The audience includes project managers and technical team leaders.
# Summary method
Use abstractive summarisation, but preserve exact technical names, dates, numbers, decisions, and warnings.
# Include
Include the objective, current situation, main findings, evidence, confirmed decisions, action items, owners, deadlines, risks, limitations, unresolved questions, and conclusion.
# Exclude
Remove greetings, signatures, repeated explanations, minor examples, promotional language, and unrelated content.
# Length
Keep the summary between 500 and 650 words.
# Format
Use the headings Overview, Key Findings, Decisions, Action Items, Risks, Open Questions, and Conclusion.
# Action item rule
Display each action item with Action, Owner, Deadline, and Status.
# Decision rule
Include only decisions clearly confirmed in the source.
# Accuracy rule
Use only information available in the source.
# Unsupported additions
Do not add assumptions, external facts, estimated values, motives, or predictions.
# Missing information
Use "Not mentioned in the source" when a required detail is unavailable.
# Contradictions
Report conflicting information instead of silently selecting one version.
# Validation
Check all names, dates, values, conditions, decisions, and responsibilities before producing the final response.
# Source content
[Insert source content here]

Final Takeaways

Summarisation prompting is more than asking a language model to shorten content. It requires clear control over purpose, audience, length, format, accuracy, and detail preservation.

The two main summarisation approaches are:

• Extractive summarisation, which selects information directly from the source
• Abstractive summarisation, which rewrites the source in a shorter form

Different tasks require different summary structures. An executive summary focuses on decisions and business impact, while a technical summary preserves architecture, technologies, metrics, and implementation details. Meeting summaries focus on decisions and action items, while research summaries preserve methodology, evidence, findings, and limitations.

A reliable summarisation prompt should always:

• Define the purpose
• Identify the audience
• Specify the required details
• Set a length limit
• Define the output format
• Preserve critical facts
• Prevent unsupported additions
• Handle missing information
• Request validation where accuracy is important

Well-designed summarisation prompts produce summaries that are shorter, clearer, accurate, useful, and suitable for their intended readers.

Frequently Asked Questions