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thinking-model-combination

separate

When one mental model leaves a material blind spot on a multi-domain or high-stakes problem, sequence complementary models with named roles and a conflict rule.

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.

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