BUCKVISIONAI 50.9

Autonomous Logic Version Control & Rollback Dashboard

The control layer for safely managing BuckVisionAI intelligence logic changes. This dashboard defines how scoring weights, model tuning recommendations, confidence rules, seasonal adjustments, and risk caps are versioned, reviewed, approved, and rolled back if needed.

Model Tuning Continuous Intelligence Autonomous Foundation Open Live 70.7 HuntScore Version Control Open 70.8 Live Model Regression Guard Open 70.9 Model Incident Response

Proposed Logic Version

01

Every tuning change should start as a proposed version before it affects reports.

  • Change reason
  • Source outcomes
  • Expected improvement
  • Risk note

Founder Review

02

Founder approval remains required before any logic update becomes active.

  • Approve
  • Reject
  • Revise
  • Hold for more data

Version Notes

03

Each intelligence version should explain what changed and why.

  • Weight changes
  • Risk cap changes
  • Seasonal changes
  • Regional changes

Rollback Safety

04

Any version that reduces report quality or creates bad recommendations should be reversible.

  • Restore previous version
  • Disable tuning
  • Flag bad logic
  • Return to stable baseline

Performance Watch

05

Approved versions should be monitored against real report outcomes.

  • Win rate
  • Miss rate
  • Confidence accuracy
  • Customer feedback

Stable Baseline

06

Maintain a known good intelligence version that can be trusted during launch and customer delivery.

  • Last stable version
  • Founder approved
  • QA passed
  • Rollback target

Logic Version Control Flow

Outcome Data
→ Model Tuning Suggestion
→ Proposed Logic Version
→ Founder Review
→ Approved / Rejected / Hold
→ Active Logic Version
→ Performance Watch
→ Rollback if Needed

Version Status:
DRAFT = suggested but not reviewed
REVIEW = founder review needed
APPROVED = safe to use
ACTIVE = currently used in report logic
ROLLBACK = previous stable logic restored
REJECTED = not used

Founder Rule for 50.9

BuckVisionAI should never silently change hunting logic. Every scoring change must be visible, explainable, founder-approved, and reversible.