One-Liner
An AI tool helping divorcing spouses find hidden assets (cryptocurrency, offshore accounts, undisclosed income) at $500-$2,000, replacing $20K-$50K forensic accountants for middle-income divorces.
AI Thinking Process
Scale Shift: enterprise forensic accounting for corporate litigation asset discovery scaled to personal divorce level at $500-$2,000
WHO: Spouse suspecting partner hides assets. CURRENT: $20K-$50K forensic accountants or go without. WHY-SURPRISED: Financial data is digital and structured, exactly what AI analyzes — yet no consumer product exists
G009 Accuracy Cliff in adversarial context: target is ACTIVELY hiding assets. False accusations if tool is wrong. Much harder than static data analysis
Conviction 38% below threshold. G009 accuracy cliff confirmed — adversarial context makes accuracy requirement insurmountable
Kill was accuracy cliff in adversarial context — checking if FUNDAMENTAL
FUNDAMENTAL: adversarial nature of hidden asset detection is structural. Active concealment defeats static-data AI approaches
Kill Reason
Accuracy cliff in adversarial context: the target (hiding spouse) is actively working to defeat the tool. Unlike document analysis against static data, this requires adversarial robustness against a human actively concealing assets. AI accuracy against active concealment is not reliable enough to support legal proceedings or prevent false accusations.
Risk Analysis
Risk analysis available for latest engine ideas.
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