By feeding an AI your own source material—documents, datasets, guidelines, or research—you let it work from materials you trust rather than whatever patterns it learned during training. The resulting responses are more reliable because they stay close to your actual facts.
Grounding is the practice of pasting your own documents, data, notes, or reference text directly into a conversation so the AI bases its response on that specific material rather than on its general training knowledge. It transforms the model from a generalist responder into a focused analyst of your actual content.
This technique is essential for tasks like summarizing a contract, analyzing a performance review, or extracting action items from meeting notes, because it replaces guesswork with precision and gives you a verifiable source you can point to when checking the output.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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