The MODEL Prompt Optimization Framework is an executable prompt-engineering protocol designed to iteratively refine prompts through enforced, auditable iterations while preventing common AI behavioral failure modes.
This framework is procedural, not conceptual. Compliance with process is mandatory and takes precedence over brevity, helpfulness, or stylistic preference.