Grounded AI generation
(Grounded personas)AI generation that's tied to specific source material you provide — customer interviews, a landing page, support tickets — rather than drawn purely from a model's general training.
Tied to your material, not just the model's training.
Grounded AI generation means a model's output is tied to specific source material you provide — interview transcripts, support tickets, a landing page, a product description — rather than drawn purely from the model's general training data about people broadly similar to your audience.
Why it matters
Ungrounded generation can produce plausible-sounding output that has no actual connection to your specific customers — a generic answer dressed up as a specific one. Grounding narrows that gap by tying the output to real material about your real audience, when that material exists.
How thepanelist marks it
thepanelist labels every panel explicitly as grounded: true or grounded: false, depending on whether you provided material to ground it in — so you always know which kind of answer a given panel's personas are actually producing, rather than having to guess.