KNIME + LLMs for Investment Personas in Study: How do I obtain reproducible, unchanging outputs (...

Hi everyone, I’m new to KNIME and would like to use it for a scientific study. I wanted to ask for your help and input! I’ve created three personas with different characteristics for investment advice. I want three AI benchmark models to then conduct investment advice and save the results. I know I can control the responses to some extent with temperature settings, but how do I ensure that the responses aren’t unreliable, meaning they exhibit a certain degree of “repeatability,” and that the results aren’t altered afterward? In other words, that the output isn’t random and is consistent. I want to have the responses reviewed by experts afterward. How would you set up this? Are there any things I absolutely need to consider? I would be very grateful for any help, godspeed