Follow the claim to its source
Classify three claims against a visible sample source. Separate a stated feature, an unmeasured outcome and a contradicted promise, then carry that distinction into your own research habits.
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
An authored example about a library workshop; these are not external quotations. 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 confident summary describes a workshop as effective and qualifying, but the original listing may promise less. You want to know which parts of the summary are warranted. 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 organize claims and evidence, while original sources and human review determine what is actually supported. 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.
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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.
HEPI: Student Generative AI Survey 2026 ↗March 12, 2026. Survey of 1,054 UK undergraduates; self-report, not proof of learning gains.
OpenAI: Using study mode in ChatGPT ↗Checked September 11, 2026. Questions, hints and feedback; mistakes and account limits remain.
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.