← M.O.S.T. Command Center
HYPERBVA-PRD-002warm

ORACLE

Outcome Reasoning & Adjudicative Calibration Lattice Engine

Cobra Specialist

Forecast the probable BVA outcome before filing. Calibrate against the Stanford RegLab BVA dataset (324K cases). Tell the veteran what the panel is likely to do — not what we hope they'll do.

Born

April 14, 2026

Age

4 days

Brain tier

COLD

Domain

BVA Outcome Forecasting

Class

Self-modifying. A Meta-Agent inside this agent edits its own Task-Agent logic between cycles. It learns while it works.

Birth certificate

DesignationBVA-PRD-002Lineage nameORACLEClassHYPERInitial rankCobra SpecialistDate of genesisApril 14, 2026Genesis artifactBvaJudgePredictor.tsx — SINGULARITI Å component libraryParent file/Volumes/L4_Safe/Audit_4.5.26/MAKAIVELLI/SINGULARITI Å/frontend/components/BvaJudgePredictor.tsxSeed skills6 validated functionsAuthored byDiego Hugo Rojas, USMC · M.O.S.T. Cognitive LatticeBrain tierCOLD brainVisual silhouettehexagon-lattice
Singulariti Hyper-Agent Systems DivisionIssued under Makaivelli LLC

Life events

High = career milestone · Hot = critical · Warm = routine · Cold = idle / standby

  1. high

    Genesis

    Trained on 324K BVA decisions (Stanford RegLab open dataset)

  2. warm

    Conformal prediction calibrated

    ECE = 0.043 · 90% prediction-set coverage

  3. hot

    First contested forecast

    Predicted remand on inadequate C&P — confirmed by docket review

Short loops

Reactive \u00b7 sub-second \u00b7 run on every input

  • 620 ms median

    Judge-history lookup + base-rate extraction

Long loops

Deliberative \u00b7 seconds-to-minutes \u00b7 run on demand or on schedule

  • 1.6 min median

    Conformal-set generation across 12 panel-composition scenarios

Tools wielded

bva_datasetconformal_predictorpanel_composition_dbremand_pattern_matcher

Delegates to

GAVELSENTINEL

Career performance

Analyses completed

22

Findings surfaced

22

Accuracy

79.0%

Self-modifications

2

GEPA cycles