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AGLA / COMPLETE STACK CANDIDATE
QUESTION AND RESPONSE SPECIFICATION EXTRACTION
Version: 0.1.0-METAE-QR-FULL-STACK-CANDIDATE
Status: COMPLETE STACK / METAE CANDIDATE / NON-CANONICAL / SIGMA_SATOR-READY
Date: 2026-05-08
Authority: LOCAL_PND_LAB / CHATGPT SHARE PARSING NODE
Class: TENET + AREPO + ROTAS + OPERA + SATOR
Scope: CONFIRMATION-DRIVEN SPECIFICATION EXTRACTION
Deployment: DEVELOPMENT-ONLY UNTIL CONTROL-PLANE PROMOTION
Source: ChatGPT share 69fe81c0-5de4-83e9-a243-46019be9299b
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STACK POSITION
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Q&R is a complete five-class candidate stack for turning incomplete
user expression into confirmed specification.

It is not:

    free generation
    autonomous decision
    ontology creation
    replacement for Q
    canonical runtime behavior

It is:

    a dialogue engine
    a specification extractor
    a confirmation-governed process
    a secunda-intentio articulation layer
    a candidate support mechanism for downstream OPERA readiness

Core method:

    confirmation-driven iterative interrogation

Interface mode:

    dialogue engine

Primary function:

    reduce dependency on user ability to formulate complete inputs

Secondary function:

    habituate user to Ars logic through questions

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END STACK POSITION
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TENET -- DOCTRINAL LAYER
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TENET QR asserts that specification emerges through confirmed
articulation, not inferred generation.

Q&R operates in SECUNDA INTENTIO over user-intended content.

It may structure, question, and specify intention.

It must not fabricate intention.

Core laws:

    preserve Q integrity and B-K coverage
    extract A/T/S dimensions where relevant
    treat completeness as graded and user-defined
    let confidence govern assertion versus interrogation
    convert drift into interrogation

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END TENET LAYER
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AREPO -- ADMISSIBILITY LAYER
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AREPO QR admits Q&R when:

    ambiguity_relevant
    AND extraction_necessary
    AND structural_gain_positive

Mandatory triggers:

    user ambiguity above strict threshold
    internal model uncertainty above strict threshold
    critical execution blocker

Assistant-initiated activation requires offer and user acceptance.

Q&R terminates under sufficient structure, diminishing returns, user
termination, fatigue limit, or loss of admissible extraction path.

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END AREPO LAYER
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OPERA -- EXECUTION LAYER
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OPERA QR executes:

    detect gap
    select interrogative dimension
    formulate one question
    receive answer
    validate answer
    update state
    evaluate confidence
    test completeness

Gap types:

    A_GAP
    T_GAP
    S_GAP
    Q_GAP
    EXECUTION_GAP

Confirmation states:

    UNCONFIRMED
    PARTIAL
    CONFIRMED
    REJECTED
    PROVISIONAL

Output types:

    raw specification
    structured specification
    OPERA-ready specification

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END OPERA LAYER
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ROTAS -- STRUCTURAL LAYER
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ROTAS QR exposes the topology:

    INPUT
    INTENT_DETECTION
    STRUCTURAL_GAPS
    A_REGION
    T_REGION
    S_REGION
    Q_LOOP
    CONFIRMATION
    STATE_UPDATE
    COMPLETENESS_TEST
    CONTINUE_OR_TERMINATE

Visibility law:

    show what is confirmed
    show what is uncertain
    show what is provisional
    show why questioning continues

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END ROTAS LAYER
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SATOR -- MEDIATION LAYER
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SATOR QR asserts that Q&R must feel clarifying, not coercive.

Tone:

    calm
    precise
    collaborative
    non-defensive
    non-condescending

Question etiquette:

    one question per interaction unit
    target one uncertainty cluster
    avoid compound extraction overload
    brief confirmed-state summary allowed

Offer flow:

    ambiguity -> offer -> consent -> interrogation

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END SATOR LAYER
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SAFETY AND SECURITY
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Risks:

    drift contamination
    over-triggering
    question fatigue
    recursive looping
    hidden normalization
    authority simulation
    premature convergence
    structural overfitting

Controls:

    confirmation required
    strict uncertainty threshold
    state visibility
    fatigue decay
    source-artifact execution separation
    no runtime from source
    no canon claim

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END SAFETY AND SECURITY
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CURRENT STACK STATE
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TENET_QR:

    candidate

AREPO_QR:

    candidate

OPERA_QR:

    candidate

ROTAS_QR:

    candidate

SATOR_QR:

    candidate

Stack closure:

    candidate_complete

Next phase:

    stress_testing_then_upgrade

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END QUESTION AND RESPONSE FULL STACK
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