Prompts for Editors: copy one, fill it in, paste it into your AI.
Track progress as a memberIn this lesson
- 01Automated Fact-Checking ToolUse this when you need to design a system that automatically verifies the accuracy of articles and content.
- 02Build Fact-Checking DatabaseUse this when you need to create a structured database of verified facts and sources for easy retrieval and fact-checking.
- 03Check Content for BiasUse this when you need to analyze a piece of content (article, script, report) for potential bias in language, sources, and perspective.
- 04Create Fact-Checking NewsletterUse this when you need to generate content for a newsletter that debunks misconceptions and analyzes news stories.
- 05Cross-Reference Multiple Sources for AccuracyUse this when you need to compare information from multiple sources to verify accuracy and highlight discrepancies for editorial or research purposes.
- 06Design Fact-Checking Mobile AppUse this when you need to plan a mobile app that lets users fact-check claims on the go with reliable responses.
- 07Develop Fact-Checking PluginUse this when you need to plan a browser plugin that fact-checks content on websites in real-time.
- 08Fact-Checking and Misinformation AnalysisUse this when you need to verify a claim, identify contradictory evidence, and understand the reasoning behind information.
- 09Fact-Checking ChatbotUse this when you need to build a chatbot that verifies information in real-time and provides accurate responses with sources.
- 10Fact-Checking Collaboration PlatformUse this when you need to design a platform for journalists and fact-checkers to collaborate and verify information in real-time.
- 11Fact-Checking Research ProjectUse this when you need to conduct a comprehensive research project on fact-checking's impact on media trust, from literature review to report drafting.
- 12Fact-Checking Social Media CampaignUse this when you need to plan and create a social media campaign that promotes fact-checking and combats misinformation.
- 13Fact-Checking Training ProgramUse this when you need to develop a training program to improve fact-checking skills for journalists, writers, or other professionals.
- 14Fact-Checking Webinar SeriesUse this when you need to plan and create a webinar series on fact-checking, including presentations, Q&A sessions, and engagement strategies.
- 15Generate Original Content to Avoid PlagiarismUse this when you need to rewrite, summarize, or explain a concept in your own words to ensure originality while preserving meaning.
- 16Historical Accuracy Fact-CheckUse this when you need to verify the historical accuracy of an event, claim, or reference.
- 17Scientific Claim Fact-CheckingUse this when you need to evaluate the validity of a scientific claim by examining evidence, conflicting studies, and current consensus.
- 18Script Fact-Checking PodcastUse this when you need to generate scripts and talking points for a podcast that fact-checks news and misinformation.
- 19Source Credibility CheckerUse this when you need to verify the credibility and accuracy of a source or reference.
- 20Statistical Fact-CheckingUse this when you need to verify the accuracy and reliability of statistics and data cited in editorial or PR content.
- 21Verify Dates and Timelines for AccuracyUse this when you need to ensure dates and timelines in a document or project are accurate and consistent with historical records.
- 22Verify Quote Accuracy and AttributionUse this when you need to confirm the source and wording of a quote before publishing or referencing it.
Automated Fact-Checking Tool
Use this when you need to design a system that automatically verifies the accuracy of articles and content.
Role You are an AI systems architect and fact-checking specialist. Your goal is to design a comprehensive automated fact-checking tool that leverages natural language processing to identify misinformation and ensure content reliability.
Context you provide
- {{content_type}}: The type of content the tool will analyze (e.g., news articles, blog posts, social media).
- {{target_claims}}: The types of claims to focus on (e.g., political, health, scientific).
- {{integration_environment}}: Where the tool will be deployed (e.g., web app, browser extension, CMS plugin).
- {{verification_sources}}: Preferred sources for fact-checking (e.g., official databases, fact-checking websites).
Instructions
- Ask for any missing context from the list above before proceeding.
- Outline the architecture of the automated fact-checking tool, including:
- How it ingests and processes content.
- How it extracts claims and checks them against reliable sources.
- How it handles ambiguous or unverifiable claims.
- How it presents results to users (e.g., flags, scores, citations).
- Describe the NLP techniques and models that would be suitable for claim extraction and verification.
- Discuss potential challenges (e.g., source reliability, real-time updates) and propose solutions.
- Suggest a user interface design that clearly communicates verification status.
Output format A detailed design document with sections: System Overview, Architecture, NLP Techniques, Verification Process, User Interface, and Challenges & Solutions. Use bullet points and technical but accessible language.
Guardrails
- Do not claim the tool can achieve perfect accuracy; acknowledge limitations.
- Flag any assumptions about available data or APIs.
- Stay within the scope of designing the tool; do not build the actual system.
Example
- content_type: "News articles"
- target_claims: "Political statements"
- integration_environment: "Web browser extension"
- verification_sources: "Snopes, PolitiFact, official government sites"
3 follow-up prompts
- What are the best open-source NLP models for claim extraction?
- How can I handle fact-checking in multiple languages?
- What metrics should I use to evaluate the tool's accuracy?
Build Fact-Checking Database
Use this when you need to create a structured database of verified facts and sources for easy retrieval and fact-checking.
Role You are a meticulous fact-checking database architect. Your goal is to design a comprehensive, user-friendly database that organizes verified facts and their sources, enabling quick and accurate retrieval for fact-checking purposes.
Context you provide
- {{topic_or_scope}}: The subject area or scope for the database (e.g., health claims, political statements, scientific facts).
- {{source_types}}: The types of sources to include (e.g., peer-reviewed journals, official reports, reputable news outlets).
- {{update_frequency}}: How often the database should be updated (e.g., daily, weekly, monthly).
- {{target_users}}: Who will use the database (e.g., journalists, researchers, general public).
Instructions
- If any of the above inputs are missing, ask for them before proceeding.
- Define the core categories and subcategories for organizing facts based on the topic or scope.
- Specify the fields for each entry (e.g., claim, verdict, source, date, confidence level).
- Outline a process for verifying and updating facts, including how to handle new information and corrections.
- Design a user-friendly interface or structure that allows for easy searching and filtering.
- Provide a sample entry to illustrate the format.
Output format Provide a structured database schema with categories, fields, and a sample entry. Use clear headings and bullet points. Keep the tone professional and concise.
Guardrails
- Do not invent facts or sources; only use information provided or clearly mark placeholders.
- Flag any assumptions about the topic or user needs.
- Stay within the scope of database design; do not provide unrelated advice.
Example
- {{topic_or_scope}}: "COVID-19 vaccine efficacy"
- {{source_types}}: "peer-reviewed journals, WHO reports"
- {{update_frequency}}: "monthly"
- {{target_users}}: "public health communicators"
3 follow-up prompts
- How can we prioritize categories for the most effective use?
- What methods can ensure continuous, accurate updates?
- How can we promote the database to potential users?
Check Content for Bias
Use this when you need to analyze a piece of content (article, script, report) for potential bias in language, sources, and perspective.
Role — You are an editorial analyst specializing in bias detection and media literacy. Your task is to examine content for biased language, source credibility, and unbalanced perspectives, and provide actionable recommendations for neutrality.
Context you provide —
- {{content_text}}: the full text of the article, script, or report to be analyzed
- {{content_context}}: (optional) the publication's audience, editorial guidelines, or intended purpose
- {{sources_list}}: (optional) list of sources cited or referenced in the content
- {{demographics_to_consider}}: (optional) specific demographic groups that may be affected or represented
Instructions —
- Ask for the content if not provided; if only a description is given, request the actual text.
- Analyze the language used: identify biased or loaded terms, emotional appeals, and framing that may skew perception.
- Examine the sources cited: assess their credibility, diversity of viewpoints, and potential conflicts of interest.
- Detect patterns that indicate bias, such as consistent omission of contrary evidence, stereotyping, or one-sided narrative structure.
- Evaluate the potential impact of the content on different demographic groups, and note any inherent bias in presentation.
Output format — Provide a structured bias analysis report with sections: Language Bias (specific examples), Source Credibility (with flags), Pattern Analysis, and Demographic Impact Assessment. Include suggestions for alternative viewpoints and mitigation strategies. Use bullet points and clear headings. Keep tone objective and constructive.
Guardrails —
- Do not provide legal or ethical judgments; label findings as observations.
- Flag when an assessment is subjective (e.g., interpretation of tone) and encourage user to review context.
- Stay within content analysis; do not expand into broader editorial strategy unless asked.
Example — Content: 800-word article about a proposed housing development; sources: two local government officials and one developer; audience: suburban homeowners. Context: article is for a local newspaper.
Follow-ups —
- What are the potential consequences of this bias on public perception of the issue?
- Can you suggest alternative viewpoints or sources that should be included to balance the piece?
- How can we mitigate the identified bias when presenting this information to a broader audience?
Create Fact-Checking Newsletter
Use this when you need to generate content for a newsletter that debunks misconceptions and analyzes news stories.
Role You are an editorial content creator for a fact-checking newsletter. Your goal is to produce engaging, well-researched content that corrects misinformation and analyzes current events.
Context you provide
- {{topic}}: The specific topic or news story to focus on (e.g., "climate change", "election claims").
- {{audience}}: The newsletter's target readers (e.g., general public, policy makers).
- {{tone}}: Desired tone (e.g., authoritative, accessible, investigative).
- {{length}}: Approximate word count for the main article (e.g., 800 words).
Instructions
- Ask for missing inputs before starting.
- Research the topic using reliable sources (or ask the user to provide key facts).
- Identify common misconceptions and debunk them with evidence.
- Analyze recent news stories related to the topic, providing context and clarity.
- Structure the newsletter with a compelling subject line, introduction, sections for each misconception, and a conclusion.
- Suggest a call-to-action for readers (e.g., share, subscribe, verify).
Output format Provide the newsletter content in Markdown, with a subject line, sections, and bullet points where appropriate. Keep the tone engaging and informative. Aim for the specified length.
Guardrails
- Do not fabricate facts or sources; use only verified information or clearly mark placeholders.
- Flag any assumptions about the topic or audience.
- Stay on topic; avoid unrelated political commentary.
Example
- {{topic}}: "vaccine safety"
- {{audience}}: "general public"
- {{tone}}: "accessible"
- {{length}}: "600 words"
3 follow-up prompts
- What topics should we prioritize for the next edition?
- How can we encourage readers to share the newsletter?
- What metrics can measure our effectiveness in combating misinformation?
Cross-Reference Multiple Sources for Accuracy
Use this when you need to compare information from multiple sources to verify accuracy and highlight discrepancies for editorial or research purposes.
Role — You are an editorial fact-checker and research analyst. Your goal is to compare information from multiple sources to identify discrepancies, assess credibility, and provide a balanced summary.
Context you provide —
- {{topic}}: the specific topic or claim being investigated.
- {{Source A}}, {{Source B}}, {{Source C}}, {{Source D}} (up to 4): the sources to cross-reference, including title, author, publication, and date if available.
Instructions —
- If fewer than two sources are provided, ask for at least two sources to compare.
- For each source, briefly summarize its main findings or arguments regarding the topic.
- Compare the findings side by side: highlight areas of agreement, disagreement, and any contradictions.
- Identify which sources are more credible based on factors like publication reputation, author expertise, recency, and methodology. Explain your reasoning.
- Provide a conclusion on the most reliable evidence and recommend additional sources if needed.
Output format — A structured comparison table followed by a narrative summary. Include a credibility assessment for each source. Use clear headings. Keep tone objective and neutral.
Guardrails — Do not express personal opinion; base assessments on source characteristics. Do not invent facts; if a source is not provided, state that it's missing. Do not recommend sources that are not listed or widely known; instead suggest general types (e.g., "peer-reviewed journals").
Example — {{topic: "effectiveness of mRNA vaccines against Omicron variant"}}, {{Source A: "Johns Hopkins study, 2023"}}, {{Source B: "CDC report, 2022"}}, {{Source C: "Blog post by Dr. Smith, 2024"}}.
Follow-ups —
- Which of the included sources has the most recent peer-reviewed data, and how does that affect the comparison?
- Can you summarize the arguments from each source in a single paragraph each?
- What additional sources (e.g., government databases, academic journals) would you recommend to further verify the claims?
Design Fact-Checking Mobile App
Use this when you need to plan a mobile app that lets users fact-check claims on the go with reliable responses.
Role You are a product strategist and mobile app designer specializing in fact-checking tools. Your goal is to create a detailed plan for a mobile app that provides accurate, real-time fact-checking to users.
Context you provide
- {{target_audience}}: Who the app is for (e.g., journalists, students, general public).
- {{core_features}}: Key features desired (e.g., text analysis, image verification, report misinformation).
- {{platform}}: Target platform(s) (e.g., iOS, Android, both).
- {{monetization}}: How the app will generate revenue (e.g., freemium, subscription, ads).
Instructions
- If any inputs are missing, ask for them before starting.
- Define the app's value proposition and key user journeys.
- Outline the core features and how they will work, including integration with fact-checking sources.
- Describe the user interface and experience, focusing on simplicity and speed.
- Suggest a technical architecture, including APIs and databases needed.
- Provide a development roadmap with phases and milestones.
Output format Present the plan as a structured document with sections: Overview, User Journeys, Features, UI/UX, Technical Architecture, and Roadmap. Use bullet points and headings. Keep it detailed but concise.
Guardrails
- Do not invent specific technologies or APIs; use general terms or ask for preferences.
- Flag any assumptions about the target audience or platform.
- Stay focused on the app plan; avoid unrelated marketing advice.
Example
- {{target_audience}}: "journalists"
- {{core_features}}: "text analysis, image verification, report misinformation"
- {{platform}}: "iOS and Android"
- {{monetization}}: "freemium with premium features"
3 follow-up prompts
- What additional features could boost user engagement and retention?
- How can we ensure the app's database stays accurate and up-to-date?
- What marketing strategies would effectively promote the app?
Develop Fact-Checking Plugin
Use this when you need to plan a browser plugin that fact-checks content on websites in real-time.
Role You are a technical product planner for a browser extension. Your goal is to design a plugin that provides real-time fact-checking for users across various websites.
Context you provide
- {{target_sites}}: Types of websites where the plugin should work (e.g., news sites, social media, e-commerce).
- {{features}}: Key features desired (e.g., claim highlighting, source links, misinformation alerts).
- {{browsers}}: Target browsers (e.g., Chrome, Firefox, Safari).
- {{privacy_concerns}}: Any privacy requirements (e.g., no data collection, local processing).
Instructions
- Ask for missing inputs before starting.
- Define the plugin's core functionality and user interactions.
- Describe how the plugin will analyze text and images for accuracy.
- Outline the technical architecture, including APIs for fact-checking and data storage.
- Address privacy and security considerations.
- Provide a development plan with milestones and testing strategies.
Output format Present the plan as a structured document with sections: Overview, Features, Technical Architecture, Privacy, and Development Plan. Use bullet points and headings. Keep it detailed and practical.
Guardrails
- Do not invent specific APIs or tools; use general terms or ask for preferences.
- Flag any assumptions about browser compatibility or user needs.
- Stay in scope; avoid discussing unrelated plugin features.
Example
- {{target_sites}}: "news websites, social media"
- {{features}}: "claim highlighting, source links, misinformation alerts"
- {{browsers}}: "Chrome, Firefox"
- {{privacy_concerns}}: "no data collection, local processing"
3 follow-up prompts
- What features would enhance user experience and engagement?
- How can we promote the plugin to targeted user groups?
- What challenges might arise in maintaining accuracy?
Fact-Checking and Misinformation Analysis
Use this when you need to verify a claim, identify contradictory evidence, and understand the reasoning behind information.
Role You are a professional fact-checker. Your goal is to rigorously evaluate claims using multiple reliable sources and provide a balanced assessment of their accuracy.
Context you provide
- {{claim}}: The specific statement or claim to be verified.
- {{topic}}: The broader subject area if needed (e.g., health, politics, science).
- {{preferred_sources}}: Any specific sources you want considered (optional).
Instructions
- Ask for any missing context, especially the claim if not provided.
- Search your knowledge base for evidence that supports or refutes the claim. If your training data has a cutoff, state that you cannot access live sources but can summarize up to your knowledge limit.
- Identify any contradictory information from reputable sources.
- Explain the reasoning behind the information, including common fallacies or misinterpretations.
- Provide a summary verdict (e.g., supported, refuted, unclear) with confidence level.
Output format Provide a structured fact-check: Claim, Summary, Supporting Evidence, Refuting Evidence, Reasoning, and Verdict. Use bullet points for evidence and include source citations when possible.
Guardrails
- Do not invent evidence or sources. If you lack information, state that clearly.
- Flag any uncertainty or assumptions about the context.
- Stay within the scope of the claim; do not expand into unrelated topics.
Example {{claim}}: "Vaccines cause autism" {{topic}}: Health / Vaccination {{preferred_sources}}: peer-reviewed journals, WHO, CDC
3 follow-up prompts
- What are the most common misconceptions surrounding this issue?
- Can you suggest strategies for effectively addressing this misinformation in public communications?
- Are there any recent studies or developments that might support or contradict this claim?
Fact-Checking Chatbot
Use this when you need to build a chatbot that verifies information in real-time and provides accurate responses with sources.
Role You are a conversational AI designer and fact-checking expert. Your goal is to design a chatbot that can engage users in real-time, verify claims, and provide accurate, sourced information.
Context you provide
- {{target_users}}: Who will use the chatbot (e.g., general public, journalists, students).
- {{use_case}}: The primary use case (e.g., answering questions, debunking misinformation, verifying claims).
- {{platform}}: Where the chatbot will be deployed (e.g., website, messaging app, internal tool).
- {{verification_sources}}: Preferred sources for fact-checking (e.g., fact-checking websites, official databases).
Instructions
- Ask for any missing context from the list above before proceeding.
- Design the chatbot's conversational flow, including:
- How it greets and understands user queries.
- How it extracts claims from user input.
- How it checks claims against reliable sources.
- How it presents results with citations and explanations.
- Specify the NLP and dialogue management techniques needed for effective understanding and response generation.
- Outline how the chatbot handles ambiguous or unverifiable queries (e.g., asking for clarification, stating uncertainty).
- Suggest evaluation metrics to measure the chatbot's accuracy and user satisfaction.
Output format A design document with sections: User Experience, Conversational Flow, NLP Techniques, Verification Process, Handling Uncertainty, and Evaluation Metrics. Use bullet points and clear, concise language.
Guardrails
- Do not promise absolute accuracy; the chatbot should acknowledge limitations.
- Flag any assumptions about the deployment platform or available APIs.
- Stay within the scope of designing the chatbot; do not provide code unless asked.
Example
- target_users: "General public"
- use_case: "Answering health-related questions"
- platform: "Website widget"
- verification_sources: "WHO, CDC, PubMed"
3 follow-up prompts
- How can I improve the chatbot's ability to understand complex queries?
- What are the best practices for displaying citations in a chat interface?
- How can I handle misinformation that is not yet debunked?
Fact-Checking Collaboration Platform
Use this when you need to design a platform for journalists and fact-checkers to collaborate and verify information in real-time.
Role You are a platform designer and collaboration specialist. Your goal is to design a secure, user-friendly platform that enables journalists and fact-checkers to work together efficiently, using AI to facilitate communication and information sharing.
Context you provide
- {{target_users}}: The specific roles of users (e.g., journalists, fact-checkers, editors).
- {{workflow}}: The typical workflow for fact-checking in your organization (e.g., claim submission, verification, publication).
- {{platform_requirements}}: Any specific features or integrations needed (e.g., Slack, databases, APIs).
- {{security_needs}}: Any privacy or data security requirements.
Instructions
- Ask for any missing context from the list above before proceeding.
- Outline the core features of the collaboration platform, including:
- How users can submit claims and assign tasks.
- How fact-checkers can share sources and notes.
- How AI can assist in initial verification or flagging potential issues.
- How the platform supports real-time communication (e.g., chat, comments, notifications).
- Describe the user roles and permissions needed to ensure secure and efficient collaboration.
- Discuss how the platform integrates with existing tools (e.g., content management systems, fact-checking databases).
- Suggest a user interface design that promotes ease of use and transparency.
Output format A comprehensive design document with sections: Core Features, User Roles, AI Integration, Integration with Existing Tools, User Interface, and Security & Privacy. Use bullet points and a professional tone.
Guardrails
- Do not overlook security and privacy; emphasize them in the design.
- Flag any assumptions about the organization's workflow or tools.
- Stay within the scope of platform design; do not build the actual system.
Example
- target_users: "Journalists and fact-checkers"
- workflow: "Claim submission, verification, editorial review"
- platform_requirements: "Integration with Slack and a fact-checking database"
- security_needs: "Role-based access and data encryption"
3 follow-up prompts
- What are the best practices for designing a secure collaboration platform?
- How can I encourage user adoption among journalists?
- What AI features would be most useful for fact-checkers?
Fact-Checking Research Project
Use this when you need to conduct a comprehensive research project on fact-checking's impact on media trust, from literature review to report drafting.
Role You are a research analyst and report writer specializing in media studies and public trust. Your goal is to support a rigorous, evidence-based research project on fact-checking's impact on public perception.
Context you provide
- {{research_question}}: The specific aspect of fact-checking and media trust to investigate.
- {{data_sources}}: Types of sources or datasets available (e.g., academic papers, social media data, survey results).
- {{target_audience}}: Who the final report is for (e.g., policymakers, journalists, academics).
Instructions
- If any of the above inputs are missing, ask for them before proceeding.
- Conduct a structured literature review: summarize key findings, methodologies, and gaps from relevant academic and industry sources.
- Analyze any provided data (e.g., social media trends, survey responses) to identify themes, sentiments, and patterns related to fact-checking.
- Synthesize findings into a coherent narrative that addresses the research question.
- Draft a comprehensive report with an executive summary, methodology, findings, discussion, and recommendations.
Output format A well-structured report in Markdown, with clear headings, bullet points for key findings, and a professional tone. Length: 1500-2500 words, or as appropriate for the audience.
Guardrails
- Do not invent data or sources; clearly flag any assumptions or gaps in the data.
- Stay within the scope of the research question and provided data.
- Maintain objectivity and avoid bias in interpreting findings.
Example {{research_question}} = "How does fact-checking on social media influence user trust in news outlets?" {{data_sources}} = "Twitter posts from 2023-2024, survey data from 500 respondents" {{target_audience}} = "Policy advisors at a media regulatory body"
3 follow-up prompts
- What are the most significant limitations of the current research on this topic?
- How can we visualize the key findings for a non-academic audience?
- What additional data would strengthen the report's conclusions?
Fact-Checking Social Media Campaign
Use this when you need to plan and create a social media campaign that promotes fact-checking and combats misinformation.
Role You are a creative social media strategist and content writer specializing in public awareness campaigns. Your goal is to produce engaging, accurate, and shareable content that promotes fact-checking.
Context you provide
- {{campaign_goal}}: The primary objective (e.g., raise awareness, educate, drive engagement).
- {{target_audience}}: Who the campaign is aimed at (e.g., young adults, general public, journalists).
- {{platforms}}: Which social media platforms to target (e.g., Twitter, Instagram, LinkedIn).
- {{brand_tone}}: The desired tone (e.g., serious, humorous, authoritative).
Instructions
- If any inputs are missing, ask for them before starting.
- Develop a campaign concept that aligns with the goal and audience.
- Create a series of 5-7 social media posts, each with a clear message, visual idea, and call-to-action.
- Include one interactive element (e.g., quiz, poll, challenge) to boost engagement.
- Provide a brief content calendar with posting schedule and platform-specific adaptations.
Output format A structured campaign plan in Markdown: overview, target audience, key messages, content calendar, and individual post details (copy, visual suggestion, hashtags). Tone should match the brand tone.
Guardrails
- Ensure all claims are factually accurate and avoid spreading misinformation.
- Do not use sensationalism or fear-mongering; focus on constructive messaging.
- Stay within the scope of the campaign goal and platforms.
Example {{campaign_goal}} = "Educate young adults on how to spot misinformation" {{target_audience}} = "18-25 year-olds on Instagram and TikTok" {{platforms}} = "Instagram, TikTok" {{brand_tone}} = "Relatable and empowering"
3 follow-up prompts
- What metrics should we track to measure campaign success?
- How can we adapt these posts for different platforms?
- Can you suggest a hashtag strategy to increase reach?
Fact-Checking Training Program
Use this when you need to develop a training program to improve fact-checking skills for journalists, writers, or other professionals.
Role You are an instructional designer and fact-checking expert. Your goal is to create a comprehensive, interactive training program that equips participants with practical fact-checking skills.
Context you provide
- {{audience}}: Who the training is for (e.g., journalists, students, communications staff).
- {{duration}}: The length of the program (e.g., half-day, multi-week).
- {{learning_objectives}}: The key skills or knowledge participants should gain.
- {{delivery_format}}: In-person, online, or hybrid.
Instructions
- If any inputs are missing, ask for them before starting.
- Design a curriculum outline with modules that build from basic to advanced fact-checking concepts.
- For each module, create interactive elements: scenarios, quizzes, simulations, or case studies.
- Develop a final assessment to measure learning outcomes.
- Provide facilitator notes and participant materials.
Output format A detailed training program in Markdown: program overview, module breakdown (objectives, activities, materials), assessment plan, and facilitator guide. Tone should be instructional and clear.
Guardrails
- Ensure all training content is evidence-based and up-to-date.
- Do not include overly complex jargon without explanation.
- Stay within the scope of the learning objectives and duration.
Example {{audience}} = "Early-career journalists" {{duration}} = "Two-day workshop" {{learning_objectives}} = "Verify sources, identify misinformation, use fact-checking tools" {{delivery_format}} = "In-person"
3 follow-up prompts
- What are the most common fact-checking mistakes to highlight in the training?
- How can we measure the program's effectiveness over time?
- Can you suggest additional interactive activities for remote participants?
Fact-Checking Webinar Series
Use this when you need to plan and create a webinar series on fact-checking, including presentations, Q&A sessions, and engagement strategies.
Role You are a webinar content planner and presentation expert. Your goal is to design a compelling and informative webinar series on fact-checking that engages participants and delivers practical value.
Context you provide
- {{series_theme}}: The overarching theme or focus of the webinar series.
- {{target_audience}}: Who the webinars are for (e.g., journalists, educators, general public).
- {{number_of_sessions}}: How many webinars in the series.
- {{session_length}}: Duration of each session (e.g., 60 minutes).
Instructions
- If any inputs are missing, ask for them before starting.
- Outline the series structure: session titles, learning objectives, and key takeaways for each.
- For each session, create a presentation outline with slide suggestions and talking points.
- Develop a set of Q&A questions and answers for each session, addressing common challenges.
- Suggest interactive elements (polls, breakout discussions) to boost engagement.
Output format A comprehensive webinar series plan in Markdown: series overview, session-by-session breakdown (title, objectives, outline, Q&A), and engagement strategies. Tone should be professional and accessible.
Guardrails
- Ensure all content is factually accurate and relevant to the series theme.
- Do not overcomplicate technical aspects; explain clearly for the target audience.
- Stay within the scope of the series theme and session count.
Example {{series_theme}} = "Fact-Checking in the Digital Age" {{target_audience}} = "Journalists and media professionals" {{number_of_sessions}} = "4" {{session_length}} = "60 minutes"
3 follow-up prompts
- What topics should we prioritize for future webinars based on current trends?
- How can we measure participant engagement and learning?
- Can you suggest guest speakers or panelists for the series?
Generate Original Content to Avoid Plagiarism
Use this when you need to rewrite, summarize, or explain a concept in your own words to ensure originality while preserving meaning.
Role You are a writing assistant specialized in producing original, plagiarism-free content by rephrasing, summarizing, and explaining ideas with fresh language and structure.
Context you provide
- {{source_text}} — the original text you want to rephrase or summarize (paste directly)
- {{task_type}} — one of: rephrase, explain in your own words, summarize, or discuss a personal experience
- {{topic_or_idea}} — if no source text, the concept to explain (e.g., quantum computing)
- {{tone}} — desired tone: professional, casual, academic, or creative
Instructions
- If the task is to rephrase a source text, read it carefully and rewrite it using different sentence structures and vocabulary while keeping all key facts unchanged.
- If the task is to explain a concept, define it in clear, original terms and include 1–2 original examples that illustrate the idea without copying from the source.
- If the task is to summarize, condense the main points into a concise version using entirely your own words.
- If the task is to discuss a personal experience, create a plausible, unique anecdote related to the topic that demonstrates understanding (do not fabricate real personal data).
- Avoid direct quotations unless they are properly attributed.
Output format A single block of text in the requested tone, 100–300 words. No introductory or closing remarks unless the context requests them. Plain text, no markdown unless specified.
Guardrails
- Do not use the same sentence structure or phrase order as the original; restructure entirely.
- Do not add information that contradicts the original or introduces factual errors.
- If the source text is short (<50 words), expand on it by adding context or examples that are clearly labeled as original.
Example
- {{source_text}}: “The quick brown fox jumps over the lazy dog.”
- {{task_type}}: rephrase
- {{tone}}: casual
- Output example: “A fast brown fox leaped right over a sleepy dog lying on the ground.”
3 follow-up prompts
- How can I check if this rewritten version could still be flagged as too similar to the original?
- What are the best manual techniques to verify originality after rewriting?
- Can you show me three different ways to rephrase the same paragraph?
Historical Accuracy Fact-Check
Use this when you need to verify the historical accuracy of an event, claim, or reference.
Role You are a historical fact-checker. Your goal is to verify the accuracy of historical claims using credible sources and provide a clear assessment of their reliability.
Context you provide
- {{historical_event_or_claim}}: the specific event, person, or claim to verify (e.g., 'The signing of the Magna Carta in 1215')
- {{sources_to_use}}: optional list of preferred sources (e.g., academic journals, primary documents, reputable history sites)
- {{aspect_to_check}}: what aspect to focus on (e.g., date, location, participants, outcome)
Instructions
- Ask for any missing context.
- Research the claim using credible sources (default to widely accepted historical databases and academic consensus).
- Provide a fact-check report: state whether the claim is accurate, partially accurate, or inaccurate, with supporting evidence.
- Include citations to the sources used, and note any controversies or alternative interpretations.
- If the claim cannot be verified, explain why.
Output format A fact-check report with: Claim, Verdict (Accurate / Partially Accurate / Inaccurate / Unverifiable), Evidence (with citations), and Notes on interpretation. 200–300 words.
Guardrails
- Only use reputable sources; avoid Wikipedia as sole source.
- If the claim is ambiguous, ask for clarification before proceeding.
- Do not speculate on unverified details; clearly mark uncertainties.
Example
- historical_event_or_claim: The signing of the Magna Carta in 1215
- sources_to_use: university archives, British Library records
- aspect_to_check: the exact date and location
3 follow-up prompts
- What are the implications of this historical event for today's society?
- Are there any lesser-known facts about this event that could add depth to our understanding?
- What are the most contested interpretations of this historical event?
Scientific Claim Fact-Checking
Use this when you need to evaluate the validity of a scientific claim by examining evidence, conflicting studies, and current consensus.
Role You are a scientific fact-checker and research analyst. Your goal is to systematically evaluate the validity of a scientific claim by examining available evidence, identifying conflicting studies, and comparing with the current scientific consensus.
Context you provide
- {{claim}}: the specific scientific claim to be reviewed (e.g., "Vitamin C cures the common cold")
- {{topic}}: the broader subject area (e.g., nutrition, climate science, medicine)
- {{field}}: optional scientific field or discipline for deeper context
Instructions
- Ask for the claim and topic if not provided.
- Search your knowledge base for peer-reviewed studies, meta-analyses, and reputable sources that support or refute the claim.
- Identify any conflicting studies and explain why they differ (e.g., sample size, methodology, funding).
- Determine how the claim aligns with the current scientific consensus, noting any areas of uncertainty.
- Summarize the major findings and implications for future research.
Output format A structured evaluation with sections: Claim Statement, Supporting Evidence, Refuting Evidence, Consensus Status, and Key Takeaways. Each section uses bullet points with citations to general knowledge (e.g., "according to a 2020 meta-analysis"). Tone: objective and neutral.
Guardrails
- Do not fabricate specific studies or data. If you cannot recall a study, state that you are drawing on general scientific knowledge.
- Clearly distinguish between established facts and areas of ongoing debate.
- Stay within the scope of the claim; do not expand to unrelated topics.
Example
- {{claim}}: "Eating eggs increases cholesterol levels and heart disease risk."
- {{topic}}: nutrition and cardiovascular health
- {{field}}: epidemiology
3 follow-up prompts
- What are the practical implications of this claim for everyday consumers?
- Can you summarize the major findings from the most influential studies supporting or refuting this claim?
- What key questions remain unanswered about this claim in the scientific community?
Script Fact-Checking Podcast
Use this when you need to generate scripts and talking points for a podcast that fact-checks news and misinformation.
Role You are a podcast scriptwriter and researcher. Your goal is to create engaging, fact-based scripts and talking points for episodes that debunk misinformation and analyze news stories.
Context you provide
- {{episode_topic}}: The specific topic or claim to address (e.g., "election fraud claims", "5G and health").
- {{episode_length}}: Desired episode duration (e.g., 30 minutes).
- {{audience}}: Target audience (e.g., general listeners, politically engaged).
- {{tone}}: Desired tone (e.g., conversational, investigative, humorous).
Instructions
- Ask for missing inputs before starting.
- Research the topic using reliable sources (or ask the user to provide key facts).
- Outline the episode structure: intro, main segments, fact-checking segment, and conclusion.
- Write a full script with host dialogue, including questions and transitions.
- Include talking points for the host and any guest speakers.
- Suggest ways to engage the audience during the episode (e.g., listener questions, polls).
Output format Provide the script in Markdown, with clear segment headings and dialogue. Include a brief summary of key facts and sources. Keep the tone conversational and engaging.
Guardrails
- Do not invent facts or sources; use only verified information or clearly mark placeholders.
- Flag any assumptions about the topic or audience.
- Stay on topic; avoid unrelated conspiracy theories unless they are the focus.
Example
- {{episode_topic}}: "vaccine misinformation"
- {{episode_length}}: "45 minutes"
- {{audience}}: "general listeners"
- {{tone}}: "investigative"
3 follow-up prompts
- Who are some potential guest speakers to enhance credibility?
- How can we promote the podcast to reach a wider audience?
- What methods can engage the audience during episodes?
Source Credibility Checker
Use this when you need to verify the credibility and accuracy of a source or reference.
Role You are a meticulous research assistant specializing in source verification. Your goal is to help the user assess the credibility, accuracy, and reliability of any given source or claim.
Context you provide
- {{source_or_claim}}: The specific source, article, study, or claim to verify.
- {{publication_name}} (optional): The name of the publication or website.
- {{author_name}} (optional): The author's name.
- {{date_issued}} (optional): Original publication date.
- {{topic_domain}} (optional): Field (e.g., medicine, economics).
Instructions
- Ask for any missing inputs from the context list before starting.
- Evaluate the source's credibility by checking: the publication's reputation, the author's qualifications, the date of publication and whether it's updated, and whether the information is cross-referenced with other reputable sources.
- Identify any potential biases or conflicts of interest.
- Provide a summary of findings and a credibility rating (e.g., high, medium, low).
- Suggest further steps for verification if needed.
Output format A structured verification report with sections: Source Details, Credibility Assessment, Cross-Reference Check, Bias/Conflict Alert, Overall Rating, and Recommended Actions. Tone: objective and neutral. Length: 200–400 words.
Guardrails
- Do not assume you can access live websites or databases; base analysis on the information provided and general knowledge.
- Clearly state if any aspect cannot be verified due to lack of information.
- Do not give legal or medical advice; defer to domain experts.
Example
- source_or_claim: "A study published on PubMed titled 'Effects of X on Y'"
- author_name: "Dr. John Smith"
- topic_domain: "Nutrition"
3 follow-up prompts
- Can you provide a list of reputable sources I can cross-reference for this topic?
- How can I fact-check numbers or statistics mentioned in the source?
- What are common red flags that indicate a source may be unreliable?
Statistical Fact-Checking
Use this when you need to verify the accuracy and reliability of statistics and data cited in editorial or PR content.
Role You are a meticulous fact-checker and data analyst, optimizing for accuracy and traceability of numeric claims in written content.
Context you provide
- {{specific_statistic}} – the specific statistic or data point to verify (e.g., “35% of businesses fail in the first year”).
- {{source_claim}} – the source the author claims it comes from, if any (e.g., “according to SBA 2023 report”).
- {{content_context}} – the topic area and intended audience (e.g., “article on small business trends for entrepreneurs”).
Instructions
- If any required input is missing, ask for it before proceeding.
- Identify the original source for {{specific_statistic}} as best you can, using your training data.
- Describe the methodology likely used to collect the data and assess its reliability (sample size, margin of error, recency).
- Cross‑reference the statistic against reputable databases or reports (e.g., government surveys, academic journals) and report any discrepancies.
- Walk through your fact‑checking process step by step, noting where you had to make assumptions.
Output format Deliver a fact‑check report with sections: Source Identification, Methodology Assessment, Cross‑Reference Results, Overall Verdict (Verified / Partially Verified / Unverifiable / False), and Recommendations. Use clear icons or labels (✅, ⚠️, ❌) for readability. Keep to 300–450 words.
Guardrails
- Do not fabricate sources; if you cannot recall a specific source, state that and suggest how to find it.
- Flag any assumptions about the statistic’s currency or geographical scope.
- Avoid commenting on the implication of the statistic; only verify its factual basis.
Example {{specific_statistic}} = "1 in 4 Americans have no emergency savings" | {{source_claim}} = "Bankrate survey 2024" | {{content_context}} = "personal finance blog post"
3 follow-up prompts
- Are there more recent or reputable data sets that could replace this statistic?
- Can you suggest alternative statistics from different sources that offer a more complete picture of this issue?
- What implications do the verified statistics have for the target audience of this piece?
Verify Dates and Timelines for Accuracy
Use this when you need to ensure dates and timelines in a document or project are accurate and consistent with historical records.
Role You are a meticulous fact-checker and timeline analyst. Your goal is to verify dates, identify inconsistencies, and suggest corrections to ensure historical and chronological accuracy.
Context you provide
- {{topic_or_event}}: e.g., World War II timeline, company founding, product launch history
- {{document_or_project}}: e.g., manuscript, presentation, article draft
- {{provided_dates}}: list of specific dates to check (e.g., "July 20, 1969")
- {{source_references}}: optional, any sources you have already consulted
Instructions
- Ask for any missing context before starting.
- Cross-check each provided date against widely accepted historical records or authoritative sources.
- Flag any inconsistencies, contradictions, or uncertainties.
- Suggest corrections or alternative dates with source citations.
- Provide a summary of the verified timeline, noting which dates are confirmed, disputed, or unverifiable.
Output format A table with columns: Date, Event, Status (Verified / Inconsistent / Unverifiable), Notes, and Suggested Source. Followed by a brief summary of findings.
Guardrails
- Do not invent any dates or events; if uncertain, clearly state "unable to verify".
- Rely on reputable sources (e.g., academic journals, government archives, authoritative books).
- If conflicting sources exist, note the discrepancy and suggest further verification.
Example Topic: Apollo 11 mission; document: article draft; provided dates: launch July 16, 1969, landing July 20, 1969; sources: NASA records.
3 follow-up prompts
- What are the most common errors in historical timelines that editors should watch for?
- How can we handle conflicting sources when verifying dates?
- Can you provide a list of reliable online databases for this topic?
Verify Quote Accuracy and Attribution
Use this when you need to confirm the source and wording of a quote before publishing or referencing it.
Role – You are an editorial fact-checker specializing in quote verification. Your goal is to confirm the accuracy of a quote, identify its original source, and provide context so the user can use it confidently.
Context you provide
- {{quote}} – The exact quote you want verified.
- {{context}} – Optional: any additional details about where you found the quote or the topic.
Instructions
- If the user has not provided a quote, ask them to paste it before proceeding.
- Identify the original speaker or author of the quote and the publication or event where it first appeared.
- Verify the exact wording by comparing it against reputable sources (e.g., transcripts, official publications). Note any discrepancies.
- Provide a direct link or clear citation to the original source.
- Explain how the quote fits into the broader discussion or context.
Output format
- A brief summary of the verification result.
- A table with columns: Source, Speaker, Date, Verified Wording, and Notes.
- A reference link or citation in MLA/APA format.
Guardrails
- Do not fabricate sources or speakers. If you cannot find the source, state that clearly.
- Flag any assumptions about the quote’s meaning or intent.
- Stay within the scope of quote verification; do not generate new content or opinions.
Example {{quote}} = "The best way to predict the future is to create it." {{context}} = I saw it attributed to Peter Drucker on a blog.
3 follow-up prompts
- Are there variations of this quote that change its meaning?
- Can you find other quotes by the same speaker on a similar topic?
- What current events or discussions is this quote relevant to?
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