A community card studio can steer invitations by placing three sample cards in the prompt. They do not need a training job for a one-day style experiment. Which customization path is that?
Select an answer to reveal the explanation.
Short Explanation
Think of three sample invitations in the prompt for a one-day style try. That is in-context learning, the cheap fast end. Overnight weight changes are overkill, and a dashboard does not write invitations.
Full Explanation
In-context learning is the low-effort path: examples in the prompt steer the model without a training job. A one-day style experiment does not need new weights overnight. A dashboard does not customize invitation wording.