🧠 Continuous Learning Accuracy Dashboard

BidScope AI learns from every decision — Step 29 · Mock data · Integration locked
Health Accuracy Cards Performance Modifiers Win Patterns Loss Patterns Mistakes Overrides Training Queue Versions Pipeline Governance Self-Test
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Integration Lock Active — Demo Mode
Mock data only No live Google Ads No API keys No real writes No auto-launch Human approval required 43/43 data self-test PASS 78/78 marts self-test PASS ⚠ Accuracy improves with data — never guaranteed 100%
82
Decisions
49
Wins
65
Feedback Rows
62
Results Tracked
72.2
Portfolio Accuracy
8
Modules
10
Open Mistakes
203K AED
Profit Δ (Mock)
💚 Learning Health Panel LEARNING_Health
⚠️ Accuracy improves with data. BidScope never guarantees 100% accuracy. Decisions are recommendations only — human approval required before any real action. Current maturity: learning_mode (63 days of mock data).
🎯 Module Accuracy Scorecards LEARNING_AccuracyScorecard
📋 Module Performance Table LEARNING_ModulePerformance
Sort by:
Module Decisions Approved Rejected Wins Losses Win Rate Approval Rate Profit Δ AED Trust Score Trend Status
⚡ Score Modifiers LEARNING_ScoreModifiers
Filter:
Modifier Name
Type
Previous
Current
Direction
Evidence
Reason / Safety Note
✅ Winning Patterns LEARNING_WinningPatterns
⚠️ Losing Patterns LEARNING_LosingPatterns
🔧 Mistake Log LEARNING_MistakeLog
Mistakes are learning signals, not failures. Each mistake improves a score modifier or adds a prevention rule.
IDSeverityModuleType What HappenedRoot Cause (brief)Fix AppliedResolved
👤 Human Override Log LEARNING_HumanOverrideLog
Repeated human overrides reduce confidence for that pattern. Repeated approved wins increase trust score. Human review remains permanently required.
Override TypeCountPattern FlagLesson LearnedEngine Action
🎓 Training Queue LEARNING_TrainingQueue
📜 Model Version History LEARNING_ModelVersionHistory
Mock version history only. No real model training has occurred. Versions reflect scoring formula improvements based on human feedback patterns.
🔄 Learning Pipeline Diagram
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Raw Data
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🗄️
Archive
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🔧
Normalise
→
📊
14 Marts
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🤖
Decisions
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👤
Approval
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Export CSV
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📈
Results
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🎯
Accuracy Score
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⚡
Modifiers
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✅
Better Decisions
🔒 No live deployment. This learning loop only improves future recommendations. All actions require human approval before execution. Integration locked until user explicitly says "start real integrations".
🔒 Safety & Governance Panel
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No Real Integrations
All data is mock/simulated
🗝️
No API Keys
0 stored in any file
💸
No Paid API Calls
DataForSEO, Ahrefs disabled
✍️
No Live Ads Writes
Google Ads write permanently locked
🚀
No Auto-Launch
Keywords require human approval
🚫
No Auto-Negatives
Negative additions require approval
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Human Approval Required
Every decision goes through queue
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Tracking Gaps Block Learning
Untracked data = lower confidence
💰
CRM Truth Overrides AI
CRM revenue data is source of truth
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PII Must Be Masked
Pre-integration requirement (planned)
⚠️
No 100% Accuracy Claim
Accuracy capped at 98 in model
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No Real ML Training
Formula-based scoring only
🧪 Learning Module Self-Test