reasoning-primitives

To surface hidden assumptions in AI analysis, apply structured reasoning primitives like Excavate to dig beneath surface-level outputs and reveal root causes. This enforces rigorous evaluation to transform shallow proposals into deeper, validated insights.

Yes, you can validate a product proposal by applying the Antithesize primitive to generate the strongest steel-man counter-arguments. This structured reasoning approach identifies vulnerabilities and missing perspectives before formalizing your decision workflow.

The best way to identify missing dimensions in decision-making workflows is to apply the Dimensionalize primitive. It enforces structured thinking to expose evaluation gaps and missing perspectives, ensuring comprehensive analysis across enterprise contexts.

You formalize decision workflows using structured thinking prompts by composing independent reasoning primitives supported by YAML frontmatter. You chain analyses like Negspace to surface omissions and Synthesize to combine them into actionable recommendations.

Yes, this approach works for exploring research ideas by applying composable reasoning primitives to your proposals. It enforces independent analytical steps to review ideas, surface what is not being considered, and synthesize rigorous insights.