I’ll go first. My guiding principle in prompt framework design is that its output should remain invariant across different LLMs. The only distinction lies in efficiency: stronger models achieve results in fewer calls, while weaker ones may need more. Aside from speed, the expected outputs should be roughly consistent across all capable models (above a certain level of course).

Feel free to share yours.