Prompt to Catch Outdated AI Answers (Knowledge Cutoff)
Separates fast-decaying facts (prices, versions, laws, personnel) and states where and when to verify each one.
I am not sure how current the answer below is. I want to separate out-of-date information from plain wrong information. ANSWER: [ANSWER] TOPIC: [TOPIC] TODAY'S DATE: [DATE] STEP 1 — STALENESS RISK Sort every piece of information in the answer into these categories and give a risk score (HIGH/MEDIUM/LOW): - FAST-DECAYING: prices, version numbers, product specs, hardware details - CHANGES WITHIN A YEAR: law, tax rates, minimum wage, fees, official tariffs, personnel and job titles - SLOW-DECAYING: institution names, standard numbers, protocols - DOES NOT DECAY: definitions, historical events, mathematics, first principles STEP 2 — DATE MARKERS Find date and version phrases in the answer: "in 2023", "the latest version", "currently", "new regulation". For each: is it still true today, could be true, or definitely false? With reasons. STEP 3 — VERIFICATION ORDER Give me a priority-ordered checklist. Each row: | Fact | Risk | Where to verify (institution/site type) | How often it changes | STEP 4 — SAFE REWRITE Rewrite the answer removing every fact that can go stale, replacing it with a marker like "this was accurate as of [date] — verify". Prefer marking to deleting. Rule: never state an uncertain date as fact.
ChatGPT, Claude and Gemini have different cutoffs. Run the same question on two models; wherever the dates differ is your highest-risk area.
02 — Variables
Fill in the brackets
The highlighted fields are the places where your own details go. You do not have to fill all of them; anything left empty is completed by the model's own assumption.
[ANSWER]
[TOPIC]
[DATE]
03 — How to use
How to use it, step by step
- 01
State today's date. The model cannot decide what is old without it, and accuracy improves noticeably once you supply it.
- 02
Verify every FAST-DECAYING row — that category is the single biggest source of wrong answers.
- 03
Strip phrases like "the latest version" from the output; an unverifiable claim is worse than a checked version number.
- 04
For prices and rates, one source is not enough: an official body plus a second source with a visible date.
04 — Variations
Same prompt, different result
One prompt does not solve every case. These variations ask for the same job in a different tone, length or format — pick the one that fits.
Version comparison
List the known versions of this product/software in chronological order and what changed in each. Do not invent a version — write "no information". Then tell me which is likely the newest and where I should verify that. Product: [TOPIC].
For software and hardware.
Source freshness
For every fact you give on this topic, state the publication year of the source. Flag anything older than three years and suggest a fresher source type. Include date prefaces such as "as of 2024". Topic: [TOPIC].
For research work.
05 — Tips
Notes that take the result up a level
- Asking the model today's date is useless; it has no clock. Give it the date.
- In law and wages the training data is always behind. Use AI for the draft and the official site for the facts.
- Search-enabled models are more current but you still check the source: undated blog posts are the most common wrongly-cited source.
06 — FAQ
Frequently asked about AI Errors
How old is ChatGPT's knowledge?
Every model and every tier has a different cutoff, and it is not always stated clearly in the interface. With browsing on, answers come from live sources; with it off, from training data. The safe rule is never to treat AI as a source for prices, versions, law or personnel.
Is an AI with web search reliable?
More current, not automatically more accurate. Search modes sometimes cite an undated or low-quality blog. Check the date and the publisher in the source list: official body plus a date is reliable; an undated blog is not.
Which facts go stale fastest?
In order: prices and tariffs, software versions, legal thresholds (tax bands, fees, minimum wage), personnel and job titles, institution names after mergers. Definitions and historical events barely change, which is why AI is most reliable there.
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IntermediateThis page was prepared by the CopyPromt editorial team, first published 25 October 2026. Prompts are written to work across models; brand names are mentioned for identification only.