Library / First Principles Framework (FPF) - Core Conceptual Specification
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Source changed 2026-10-03 10:39:28 UTC · snapshot created 2026-10-03 10:40:04 UTC · last check 2026-10-03 10:45:12 UTC

C.26.3:4.9 - Case bank and near misses

CaseSupported C.26.3 readingNear miss / reroute
Checkout cache under spikeCache aggressiveness preserves latency but increases stale payment-failure status and support load.If only cache latency is at issue, use ordinary performance and quality-bundle patterns.
Smart-building energy controlEnergy, comfort, privacy, occupancy, and abrupt weather changes form one envelope with sensors and candidate interventions recovered under their subject patterns.If the case only tunes one thermostat setting, use ordinary control/measurement language and state any actual setting change separately.
Incident staffingA proposed staffing intervention may preserve recovery time while increasing coordination overhead and error risk; recover whether the proposal concerns a Method or description, staffing or assignment-setting proposal, or WorkPlan. Separately identify any dated staffing Work, changed assignment relation, other actual change, or resulting state claimed to exist.If staffing is merely a work-allocation issue, use A.15 and planning patterns.
Compliance exposureA fast remediation path lowers outage time but increases evidence gaps and audit risk.If audit evidence is primary, use A.10 for evidence reliance and B.3 only for an actual named assurance claim; keep C.26.3 only for envelope trade-off.
Service boundary splitSplitting a service may reduce deployment coupling while changing endpoint senses and increasing operational support-transfer cost.If only cross-local semantic correspondence is at issue, resolve the exact senses and test the resulting F.9 candidate; if the split changes the viability envelope, use C.26.3.
Body-temperature analogyFunction may be preserved by clothing, room air, activity, or exposure, not only internal heat production.Use only as explanatory analogy; do not make biology the proof for software.