Connecting AI responses to specific, verifiable source material — retrieved documents, web search results, or uploaded files — rather than relying solely on the model's training. Grounding dramatically reduces hallucination and is especially important for factual questions, internal knowledge, or any context requiring citable sources.
Grounding
Lessons that cover this
- AI for SalesResearch, follow-up, and proposals — the three places it earns its keep, and the one place it will cost you a deal.
- Knowing When to Trust the OutputA checking routine proportional to the stakes, so verification does not eat the time you saved.
- Why AI Gets Things WrongHallucination is not a glitch to be patched. It is the same process that makes AI useful, running without a fact-check.
- AI for FinanceExcellent at the narrative around the numbers. Not to be trusted with the numbers.
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