Hallucination is not a prompting problem. It is a structural property of LLMs generating responses from parametric memory when the training data does not contain a precise answer. The fix is RAG with a relevance threshold that triggers a decline rather than a guess, low temperature generation, mandatory citation output, and NLI-based faithfulness checking for high-risk deployments. Architecture over instructions every time. Full technical breakdown and nonprofit risk taxonomy inside.
https://pollthepeople.app/ai-hallucinations-nonprofits-prevention-2026/
