Always Review Before Sending — AI Makes Confident Errors

AI is not a fact database. It's a language model that predicts the most likely next word based on patterns in its training. This means it can produce confident-sounding content that is factually wrong, especially when it comes to:

  • Statistics and percentages (often fabricated or misattributed)
  • Specific names, titles, and company details
  • Recent news or events (AI knowledge has a cutoff date)
  • Technical claims about products or competitors

The practical rule: anything factual in an AI output needs to be verified before you send it. This is especially important in competitive claims, ROI statistics in proposals, and any content where being wrong has consequences.

This doesn't diminish AI's value — it just means using it correctly. Use AI for structure, tone, and language. Verify the facts yourself.