Library / First Principles Framework (FPF) - Core Conceptual Specification
Jump to passage
In this reading

Link to current text

Published source confirmed at last check

Source changed 2026-10-03 05:29:54 UTC · snapshot created 2026-10-03 05:30:57 UTC · last check 2026-10-03 06:10:20 UTC

C.27:4.4 - Compact Case Bank

CaseWhat C.27 preservesDirect next pattern or stop
“Backlog is 120 items today.”Dyn0 snapshotstop; C.16 only when the measurement construction matters
“Backlog fell by 20 items per week.”Dyn1 ratestop or C.16; no intervention claim
“More tool calls will speed debugging.”exact outcome rate, System actor only when Work is claimed, input, resistance, evaluation evidence, stop or replan, and unsupported reasoning-quality inferenceC.24, A.15.1, F.6, evaluation, and evidence as applicable
“Method A improves faster than Method B.”Dyn1 versus Dyn2 comparison, baseline and other windows, effort parity, hidden costs, and no causal or universal superiorityG.9 and C.16; C.28 only for causal use
Equal final scoresadaptation window, effort parity, rework, validity, and recovery may still differG.9
“Velocity improved after becoming the target.”measure, target pressure, actual Work change, gaming or selection, causal claim if any, and proxy divergence remain separateC.16, E.13, C.28 when causal; C.26 only for residual QL
“Team throughput rose, so the organization became agile.”source and target bearers, aggregation, bearer continuity, mix shift, and transfer boundaryaggregation and evidence patterns; C.18.1 when a scale variable is claimed
“Adoption continues after incentives stop.”coasting basis, window, evidence or assumption, supported use, and reopenplanning, evidence, or assurance when current
“The old rollout policy improved recovery, so the new policy will too.”behavior policy differs from proposed policy; overlap, uncertainty, and transfer risk are currentevaluation or control pattern
“The process sped up” across orders, invoices, shipments, and ticketsobject bearers, event traces, interactions, queue effects, and aggregation cannot collapse into one scalarobject-centric process evidence and aggregation patterns
“The team’s release rhythm became smoother after review moved earlier.”exact team release-cycle bearer, release and review windows, event-log, queue or rework evidence, transfer delay or queue pressure, and local method use; no organization-agility or promise inferenceC.27.TA, C.16 or evidence, and the direct method pattern
“The new playbook shortened incident recovery.”detection-to-mitigation or mitigation-to-recovery interval, incident mix, dependency and coordination resistance, local use, no guarantee or causal proofC.28, promise, service, and assurance only when their uses are current
“The shortlist arrived faster, so search improved.”faster narrowing can reduce novelty, diversity, frontier coverage, or search healthC.17, C.18, and C.19
“More data, reviewers, tokens, calls, or capacity doubles improvement.”scale variable, scale window, probes, elasticity, and parity are missingC.18.1 and G.9
“Release velocity rose while service demand and recovery time worsened.”acceleration, braking, recovery, hidden cost, and unsupported improvement claim remain visibleC.26.3, C.25, and direct harm, safety, or assurance patterns
“We can halve review time for this regulated release.”temporal action and window do not establish safety, legality, quality, or release permissiondirect legal, quality, safety, gate, and assurance patterns
“The process is agile.”recover the actual local head before treating agility as a temporal claimA.6.P first; C.27 only if braking, redirection, or rate change is current
“This chapter accelerates orientation.”ordinary explanatory proseno C.27 record unless used for a decision, comparison, promise, or intervention claim
Dashboard, probe, token, or active-sensing wordingordinary measurement and use questions remain primaryC.16, planning, evidence, control; C.26 only for a residual QL cue