Use when search or investigation could run forever. Set an explicit good-enough threshold first, then stop at the first option that clears it.
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When a fault is localized and the proximate cause is known but the systemic root is not, chain evidence-linked whys with a counterfactual stop and a countermeasure.
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See how to installReview the instructions the agent will receive before you install.
Build an evidence-linked causal chain from a known proximate fault to an actionable systemic root, then prescribe a countermeasure that would have blocked it.
Problem: <localized symptom + component>
Chain:
Why1: <cause> | Evidence: <...> | Ruled out: <...>
WhyN: ...
Causal set check: would removing all retained roots block the failure? yes/no
Roots:
- <systemic cause> | Pathway counterfactual: <...>
Countermeasure: <action that removes the enabling condition>
Verification: <how to confirm this pathway is blocked>
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Use when search or investigation could run forever. Set an explicit good-enough threshold first, then stop at the first option that clears it.
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Use when a specific claim may lack grounding. Check evidence boundary, size wrongness cost, then answer, fetch, or abstain — never confabulate.
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When the right response mode is unclear, classify the cause-effect domain first; decompose disorder.
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Under genuine uncertainty with no reliable forecast, inventory means, cap downside at affordable loss, act for commitments, and let goals emerge from controllable moves.
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When a constraint is treated as fixed, separate physics from convention, keep only independently supported primitives, and rebuild the simplest solution that satisfies real constraints.
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Deciding what to build or why adoption fails. Recover the progress users hire a solution for under a circumstance, then rank by outcome and competing workarounds.
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