Check before you pass it on
Compare three statements with a short fictional notice. Practice spotting a supported detail, a missing date and an unsupported assumption before forwarding a claim or making plans around it yourself.
An original hands-on example. Free to explore. This example runs in your browser; the optional AI guide below is separate.
A working local example. Your changes stay in this page until you choose to save, copy or download. No AI model is called.
Separate claims from evidence
Authored community notice: The library plans a free introductory workshop. A date is not yet confirmed. Registration details will follow. Classify what the displayed sample supports, then inspect the explanation.
- Checked
- 0 of 3
- Matches the sample
- 0 of 3
These are authored sample claims and evidence. Unsupported here means not established by this evidence, not necessarily false in the world.
For the moments like this.
A message arrives with a helpful-sounding claim, but its summary may say more than the original notice. You want a straightforward way to check before passing it along. Try the sample first, change one important detail, and decide what you would keep or revise before using this approach in your own situation.
What becomes possible
AI can help compare a claim with supplied evidence, while original sources and current details remain essential. The local evidence exercise contains three authored sample claims and visible supporting material. Classify each claim and inspect the explanation. It checks against its disclosed sample key rather than conducting live research or detecting every error.
Take the next little step.
Your choices from the experience travel into a practical starter. Shape it in your own ChatGPT, or explore personal help with Kevin.
Continue in your ChatGPT.
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A little help, right here.
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The guide helps you explore and apply an idea. Your direction, decisions and approval remain yours.
Sources, capability notes and how this example works
This local experience uses authored sample content and deterministic controls. Changing an input updates the example; no model runs, outside records are checked, or real-world actions are performed. Use the sources for the underlying AI capabilities and audience context, and the human check above when you apply the idea.
AARP: Navigating the World of AI ↗January 2026. Adults-50-plus use and hypothetical interest; broad AI is not only chatbots and interest is not purchase intent.
OpenAI: Does ChatGPT tell the truth? ↗Checked September 11, 2026. Answers can be incorrect or fabricated; original sources and human checks matter.
Research checked September 11, 2026. Access to specific AI features depends on your account, plan and region. Sample amounts, timings, scores and feedback illustrate the method rather than claim measured outcomes.