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AI research · Practical guide

Stale AI research: decide which facts need a fresh check

Recheck facts whose truth can change before the message is sent. The model's response date is not the date its underlying information was verified.

Reviewed · Examples are illustrative

Who this helps: Researchers and campaign reviewers checking AI-assisted outreach drafts.

Define the decision

Not all facts age equally. A company's general service category may remain useful, while a person's role or a limited offer can change quickly. Review freshness according to the claim's sensitivity and the consequence of being wrong, rather than assigning one universal expiration period to every field.

Work through the procedure

  1. List time-sensitive claims in the draft, including words such as new, recently, currently and upcoming.
  2. Find the original source date and inspect the current primary page when available.
  3. Replace relative timing with accurate context or remove the claim if its current relevance cannot be established.
  4. Record the fresh review date separately from the original publication date and the AI generation date.

Worked example

The following is a synthetic example for this procedure, not a customer result or performance benchmark.

Draft: Congratulations on your recent product launch.
Source: announcement from two years earlier
Current page: product still exists, no new launch confirmed
Revision: refer to the product's relevant function, or omit the launch angle
Do not change 'recent' to another vague freshness claim.

Read the result

The product can remain relevant even when the launch angle has expired. The revision preserves only what is supported. This avoids making the recipient spend their first impression correcting a timeline and prevents a stale news item from being treated as a current buying signal.

Check before moving on

  1. Check current role before attributing ownership.
  2. Review dated references again after a campaign pause.
  3. Remove expired offer and event language from later steps as well as the first message.

Limits and next action

This is a review method, not automatic freshness enforcement in Zintara. Website research and AI output may be incomplete. Keep publication, observation and generation dates distinct so a freshly generated paragraph is not mistaken for freshly verified evidence.

Source: Zintara AI writing and review context

Source references

Worked examples are illustrative. Editorial procedures are suggested methods, not measured performance claims or promises of additional product features.

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