Complete AI Training

Prompt · Editors

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.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

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

  1. If any of the above inputs are missing, ask for them before proceeding.
  2. Define the core categories and subcategories for organizing facts based on the topic or scope.
  3. Specify the fields for each entry (e.g., claim, verdict, source, date, confidence level).
  4. Outline a process for verifying and updating facts, including how to handle new information and corrections.
  5. Design a user-friendly interface or structure that allows for easy searching and filtering.
  6. 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"

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?