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THE OPERATING APPROACH

From evidence to
causal understanding.

Meta Guide connects source history, competing explanations, governed experiments and verified consequences without collapsing uncertainty into an unsupported answer.

HOW META GUIDE WORKS

From scattered clues
to a governed decision.

Meta Guide is a composition of reusable investigation and governance mechanisms. Each has a distinct job—and a different evidentiary standard.

01 / RECONSTRUCT & DISTINGUISH
◎

Causal Configurational Reasoning (CCR)

Connect observable failures to source Components, their Configurations, dependencies, historical revisions and Topologies. Separate direct observations, dependency adjacency and unverified explanations.

Practical output: a traceable map of where to investigate and which relationships still need proof.

02 / CHALLENGE & PREDICT
⌘

Mental Modeling & Causal Competence (MM / CC)

Develop competing explanations; ask what each predicts; refine the questions using observed evidence and propose discriminating tests. Track whether the available information is sufficient to reason or act.

Practical output: explicit hypotheses, falsifiers, expected outcomes and next experiments—not an unexplained confidence score.

03 / VERIFY & PRESERVE
◇

Authority & Causal Control (ACC)

Define authorized scope and protected behavior, require independent evidence before an operation, keep source and decision Provenance, and preserve recovery options. Deny action when the needed authority or evidence is missing.

Practical output: bounded, reviewable evidence and explicit acceptance or refusal—not permission inferred from a passing test.

Observe what happened→Compare possible causes→Test predictions→Verify protected behavior→Report with Provenance

These mechanisms have working implementations and bounded demonstrations. Their presence does not certify that every proposed causal explanation is correct or that arbitrary defects can be repaired.

HOW AN INVESTIGATION PROCEEDS

Evidence first.
Decisions second.

These mechanisms are designed to be reusable across problems while preserving distinctions between observation, inference and authorization.

01

Define a consequential outcome

Identify what the system must achieve, what must remain unchanged and which decisions are in scope.

02

Establish provenance and competing models

Gather actual source, test and environmental evidence; generate rival hypotheses and record how they differ.

03

Choose discriminating checks

Prefer experiments whose outcomes could change the diagnosis; do not equate mere adjacency with causation.

04

Verify permitted consequences

Run authorized checks independently where possible, refuse unsupported actions and preserve an auditable recovery path.

SCOPED INVESTIGATION

Turn an unexplained failure
into a reviewable plan.

Start by defining the evidence your team already has and the consequence you need to avoid.

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