Explore Prompts

Explain what signals can suggest AI-generated text/audio/images, and the limits of detection. Provide a cautious approach: what to conclude and what not to conclude.

Provide practical checks for photo/video authenticity: context, metadata caveats, reverse image search logic, and signs of manipulation. Include a decision flowchart.

Create a breaking-news verification checklist: time stamps, original footage, geolocation basics, official statements, and correcting mistakes. Keep it practical and non-technical.

Explain how to interpret preprints vs peer-reviewed work. Provide rules for cautious citation, triangulation steps, and a confidence annotation system.

Give me a 30-minute method to read a research paper: skim order, key questions, common pitfalls, and how to assess whether results generalize.

Explain what genuine expert consensus looks like and how to detect fake consensus. Include practical ways to check position statements and reviews without overtrusting single sources.

Create a guide to assessing experts: credentials, publications, conflicts of interest, prediction track record, and incentives. Provide a checklist and sample questions.

Explain common evidence types (anecdote, observational, experimental, expert consensus, official data) and when each is appropriate. Include a quick evaluation checklist.

Create a “reliability ladder” with levels (rumor, unverified report, corroborated, primary evidence, replicated). Provide tagging rules I can use in notes.

Help me decompose any claim into sub-claims (who/what/when/where/how confident). Provide a template and demonstrate with a sample claim I provide.

Create a ‘reverse search’ strategy: how to actively look for disconfirming evidence and the strongest counterarguments. Include prompt patterns and a checklist to avoid confirmation bias.

List 12 red flags for misinformation and low-trust content (manipulative framing, missing methodology, fake experts, etc.). Then show how to rewrite a claim into a testable statement.