Model Combination

Core rule: Combine only when each model answers a different named question. Cap at three, name the conflict rule before applying, then synthesize once.

When to Use

• One model already applied (or clearly primary) still leaves a material blind spot that another mechanism covers.
• Problem spans domains (e.g. risk + choice + system structure) and stakes justify multi-lens work.
• You need independent checks, not confirmation of the same conclusion.
• You can name a distinct role per model before running them.

When NOT to Use

• A single catalog skill fully answers the unknown — apply that skill alone.
• Routine, local, or fully reversible work where multi-lens cost exceeds upside.
• You cannot state what unique question each extra model answers (checkbox / model soup).
• Near-duplicate mechanisms (two diagnosis skills that ask the same causal question).
• Time budget cannot support genuine synthesis — prefer one honest model over contradictory partials.