How does hybrid interpretation with dialogically integrated LLMs work in practice—and what differences emerge when multiple models are used side by side or sequentially? This annotated sample solution accompanies our paper Hybrid interpretation of text-based data with dialogically integrated LLMs and provides a compact, teaching-oriented walkthrough of the two practice experiments.
The PDF includes:
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Experiment 1: Testing LLM Variance (the same prompt with ChatGPT, Claude, and Gemini)
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Experiment 2: Testing the Hybrid Sequence (passing the interpretations from one model to the next)
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Brief guidance for comparing outputs and reflecting on what you learn from the differences
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An appendix with the complete sample outputs and the role prompt—so you can follow the exercises without needing to run the models yourself