How to Make ChatGPT Cite Real Sources (And Check the Ones It Gives You)
Four prompt patterns that raise the odds of a real citation, the one that works best, and the two-minute check that catches what still gets through.
Four prompt patterns that raise the odds of a real citation, the one that works best, and the two-minute check that catches what still gets through.
How AI is transforming image analysis, document understanding, quality inspection, and visual data extraction across industries. What's working in production in 2026.
Strong digital identities are crucial for AI search. Explore why digital ID and identity verification matter more than ever in today's digital identity ecosystem.
A seven-step procedure for finding where a statistic actually came from, what to do when the trail ends at a paywall or a 403, and when to cut the claim instead.
Nine specific, documented reasons teams keep AI output on a leash — measured fabrication rates, incomparable vendor numbers, no reporting standard, and no correction channel.
Fifty copy-paste lines that make a model ask a clarifying question, stay inside material you supplied, or mark what it is unsure of — grouped by the failure each one targets.
A repeatable monthly check: the clean-session setup, the 12 questions to ask, and how to tell a fixable retrieval error from one you cannot reach.
A study of 636 generated citations found 55% fabricated by GPT-3.5 and 18% by GPT-4. Here are the six mechanisms behind that, and what actually reduces each one.
Three ways an AI statistic goes wrong, only one of which is invention. The dangerous one is a real number attached to the wrong claim — and it survives every check except opening the source.