Document Type: Reference
Status: Active
Authority: Affiliate Brain
Applies To: ANIL shadow calibration, offer-level correlation logging, and post-test validation of narrative-intelligence usefulness
Parent: Affiliate Brain Architecture
Version: v1.1
Last Reviewed: 2026-03-14
Purpose
This register exists to validate correlation between:
• Authority and Narrative Intelligence (ANIL) Score
• actual testing performance outcomes
The purpose of this page is to determine whether ANIL demonstrates enough practical correlation with testing outcomes to justify any future capital-modifying authority.
This instrument operates in Shadow Mode.
ANIL scoring is logged.
Capital allocation remains governed solely by existing Architecture rules.
No budget modification is permitted based on ANIL during the calibration phase.
Scope
This reference applies to:
• ANIL score logging during live testing
• shadow-mode tracking of offer outcomes
• correlation review between ANIL and campaign performance
• calibration-period aggregate analysis
• evaluation of whether ANIL should remain advisory or evolve structurally
This document defines how ANIL calibration should be recorded and reviewed.
It does not govern:
• capital allocation
• Velocity decisions
• budget band changes
• scaling acceleration
• Finance Brain authority
• SIT enforcement authority
Those remain governed by Finance Brain, Velocity, SIT, and Affiliate Brain architecture.
Definition / Rules
Shadow Mode Rules
ANIL must be logged for every active test.
The following restrictions apply during shadow mode:
• no capital band adjustment permitted
• no Velocity weighting adjustment permitted
• no scaling acceleration permitted
• correlation only, with no behavioral change
Minimum calibration window:
• 30 days
or
• 5 offers
SIT may audit score consistency.
Calibration Tracking Table
For each offer under test, record the following:
• Offer ID
• Offer Name
• Date ANIL Logged
Composite fields:
• Composite Narrative Strength Score (0–25)
• Momentum Classification
• Cycle Tag
Breakdown fields:
• Trend Acceleration
• Narrative Convergence
• Authority Validation
• Media Sentiment
• Strategic Timing
Test Performance Tracking
For each logged offer, record:
• Stage 1 Duration (days)
• Stage 2 Duration (days)
• Stage 3 Duration (days)
• Stage 4 Duration (days)
Performance fields:
• Time to Break-Even (days)
• Initial CPA vs Target CPA
• CPA Stability Window Length
• Refund Rate (%)
• CTR
• Conversion Rate
Scaling outcome options:
• Paused
• Scaled
• Retired
• Stalled
Also record:
• Final Lifecycle State
Correlation Analysis Field
For each offer, record the observed pattern.
Question set:
Did high ANIL correlate with:
• faster stage progression
• lower CPA variance
• cleaner break-even stability
• lower refund volatility
• higher scaling confidence
Response options:
• Yes
• No
• Mixed
Also record:
• Notes
Aggregate Review Section
After the minimum threshold is reached, record:
• Total Offers Evaluated
• Average ANIL Score
• Average Time to Break-Even
• Average CPA Stability Window
Comparison fields:
• High ANIL (>20) Avg Time to BE
• Low ANIL (<14) Avg Time to BE
• High ANIL Scaling Rate
• Low ANIL Scaling Rate
Observed Correlation Strength options:
• None
• Weak
• Moderate
• Strong
Conclusion field:
Grant Capital Modifier Authority?
• Yes
• No
If Yes:
• recommend Band Adjustment Model Revision
If No:
• revise ANIL Scoring Model
Exit Conditions
Shadow Mode ends when:
• minimum 5 offers tested
or
• 30 days elapsed
and
• correlation assessment completed
Post-Assessment Options
After shadow-mode assessment, available paths include:
• Maintain Advisory Only
• Introduce Budget Band Modifiers
• Integrate into Velocity Weighting
• Elevate to Cross-Brain Authority Layer
These options are evaluative only until formally approved through governance.
Governance Note
ANIL remains advisory during calibration.
Finance Brain retains capital supremacy.
Velocity retains binary authority.
SIT retains enforcement power.
No drift is permitted.
Final Rule
ANIL may not influence capital allocation, Velocity behaviour, or authority structure during calibration.
Drift Protection
The system must prevent:
• ANIL influencing capital during calibration
• ANIL modifying Velocity behavior before correlation is proven
• shadow-mode tracking being treated as authority approval
• undocumented score-to-outcome claims
• early authority expansion before minimum calibration conditions are met
ANIL remains observational until calibration is complete and governance approves any change.
Architectural Intent
The ANIL Shadow Calibration Register exists to test whether narrative and authority intelligence has real predictive usefulness before it is allowed to influence economic behavior.
Its role is to protect MWMS from prematurely granting authority to an unvalidated instrument while still preserving the learning opportunity from structured shadow-mode observation.
Change Log
Version: v1.1
Date: 2026-03-14
Author: MWMS HeadOffice / Affiliate Brain
Change: Rebuilt page to align with MWMS document standards. Added standardised document header, replaced legacy metadata with compliant structure, introduced Purpose / Scope / Definition / Rules format, added Final Rule, normalised calibration and aggregate review sections, and preserved the original ANIL shadow-mode, correlation, and governance logic.
Version: v1.0
Date: 2026-02-25
Author: Affiliate Brain
Change: Initial creation of ANIL Shadow Calibration Register defining shadow-mode rules, offer-level calibration tracking, correlation analysis, aggregate review structure, exit conditions, and governance boundaries.
END — ANIL SHADOW CALIBRATION REGISTER v1.1