research-principles

Hypothesis-driven research requires stating hypotheses before experiments and pre-registering predictions. This ensures investigation rigor and transparency by explicitly documenting expected outcomes prior to execution, preventing post-hoc rationalization.

To ensure auditability, document experiments by logging commands, parameters, timestamps, and outputs verbatim. This rigorous documentation maintains traceable decisions across roles, enabling full reproducibility during research reviews.

The best way to red-team research results is to actively seek disconfirming evidence and test the sensitivity of your findings. This rigorous approach identifies vulnerabilities in your hypothesis before formal peer review.

You use an escalation ladder for validation by applying staged prompting approaches, from zero-shot to supervised fine-tuning. This staged process ensures the reliability of your hypothesis-driven research results.

Yes, you can apply these research principles to orchestrate experiments across different roles. The framework supports orchestrators, scientists, and colleagues, maintaining traceable decisions and audits across all research sessions.

You should not use a staged validation approach when your experiment lacks a clearly defined, pre-registered hypothesis. Without explicit documentation of predictions, rigorous logging of decisions cannot be effectively validated.