why-tree

Diagnose a hard problem by building an evidence-graded "Why Tree" - a Goldratt Current-Reality Tree that fans many AI agents across the problem's branch-space, grades every node by the kind of evidence behind it (validating measured numbers' pipelines before trusting them), tries to refute its own load-bearing branches, and converges on the ONE system constraint plus the cheapest test that would prove it. Use when someone asks "why is X happening / why are we falling short of a goal", wants a root-cause analysis with real rigor (not a 5-minute 5-Whys), needs to find the real bottleneck before spending build effort, or asks to "stress-test our diagnosis" / "build a current-reality tree". Also runs an Idea Audit - evaluating a product/feature idea by first diagnosing the problem it claims to solve (idea quarantined from the swarm), then judging the idea against the located constraint - trigger on "evaluate my product idea", "should I build X", "would anyone pay for this", "would my product have solved this". Bilingual triggers - "почему мы не достигаем цели", "построй дерево текущей реальности", "найди настоящее узкое место", "оцени идею продукта", "поможет ли мой продукт решить эту проблему". Pairs with /constraint-finder, which returns the 5 Focusing Steps once the constraint is located. Token-heavy by design (multi-agent) - it warns and asks for a depth before launching (a cheap scout gate can triage whether the swarm is needed at all), and only earns its cost when one careful pass could confidently pick the WRONG cause.