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AI Uncertainty Labeler

Tool guide / 工具说明

AI Uncertainty Labeler for fast browser-based work

Add practical uncertainty labels to AI claims: supported, partly supported, unverified, needs current source, needs expert or primary source, and downgrade wording.

中文:为 AI 断言添加实用不确定性标签:有支持、部分支持、未确认、需最新来源、需专家或一手来源、应降级表述。

Example: Use it before publishing AI-assisted advice, guides, comparisons, research notes, product pages, or any answer that mixes evidence with confident wording.

Practical workflows

Where this tool fits in real work

Use cases

  • Paste an AI answer and the evidence or verification notes you actually have.
  • Label claims as supported, partly supported, unverified, source-needed, expert-needed, or wording-to-downgrade.
  • Copy the label table and rewrite prompt before publishing or relying on the answer.

Review notes

  • This is a review aid, not a truth oracle.
  • Current facts, prices, policies, models, laws, and schedules need source dates and access dates.
  • High-impact legal, medical, financial, safety, or employment claims need qualified human review.

Local-first handling

This page is built as a browser utility. Inputs are processed in the page where possible, with no account requirement and no intentional upload step for the tool workflow.

Use with judgment

When to use AI Uncertainty Labeler

Good fit

  • Paste an AI answer and the evidence or verification notes you actually have.
  • Label claims as supported, partly supported, unverified, source-needed, expert-needed, or wording-to-downgrade.
  • Copy the label table and rewrite prompt before publishing or relying on the answer.

Before copying results

  • This is a review aid, not a truth oracle.
  • Current facts, prices, policies, models, laws, and schedules need source dates and access dates.
  • High-impact legal, medical, financial, safety, or employment claims need qualified human review.

Use a stricter workflow

If the context includes production secrets, customer records, private research material, or executable scripts, redact first and use a stricter human review workflow.

Related guides

Keep learning this workflow

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FAQ

AI Uncertainty Labeler questions

Does it prove claims are true?

No. It maps labels from pasted evidence and risk signals; important claims still need source verification.

Why label uncertainty?

Clear labels make AI-assisted content safer, more trustworthy, and easier to review.

Is this tool free?

Yes. The current Toolkits tools are free to use and do not require an account. If advertising is added later, it should be clearly labeled and kept away from primary tool controls.