💻 AI Decision Dependency Checker

Test if you're outsourcing too many life decisions to AI

import datetime
import json

class AIDependencyChecker:
    """
    Analyzes your AI interaction patterns to detect unhealthy dependency.
    """
    
    def __init__(self, user_id):
        self.user_id = user_id
        self.decisions_log = []
        self.dependency_score = 0
    
    def log_decision(self, decision_type, used_ai=True, confidence=0.5):
        """
        Log a decision made with or without AI assistance.
        
        Args:
            decision_type: Category of decision (e.g., 'clothing', 'food', 'work')
            used_ai: Whether AI was consulted
            confidence: User's confidence in own decision (0-1)
        """
        entry = {
            'timestamp': datetime.datetime.now().isoformat(),
            'type': decision_type,
            'used_ai': used_ai,
            'confidence': confidence,
            'score_impact': 10 if used_ai else -5
        }
        self.decisions_log.append(entry)
        self.dependency_score += entry['score_impact']
    
    def get_dependency_level(self):
        """
        Returns dependency assessment based on score.
        """
        if self.dependency_score > 50:
            return "HIGH: You're dating an AI"
        elif self.dependency_score > 20:
            return "MODERATE: AI is your co-pilot"
        else:
            return "LOW: You're still in control"
    
    def generate_report(self):
        """
        Generate a summary report of AI dependency patterns.
        """
        ai_decisions = sum(1 for d in self.decisions_log if d['used_ai'])
        total_decisions = len(self.decisions_log)
        
        return {
            'user_id': self.user_id,
            'dependency_score': self.dependency_score,
            'dependency_level': self.get_dependency_level(),
            'ai_decision_ratio': ai_decisions / total_decisions if total_decisions > 0 else 0,
            'total_decisions_logged': total_decisions,
            'recommendation': 'Consider taking a 24-hour AI break' if self.dependency_score > 30 else 'Your usage appears healthy'
        }

# Usage example:
checker = AIDependencyChecker('user123')
checker.log_decision('clothing', used_ai=True, confidence=0.2)
checker.log_decision('lunch', used_ai=True, confidence=0.1)
checker.log_decision('gym_routine', used_ai=True, confidence=0.3)
checker.log_decision('breathing', used_ai=False, confidence=0.9)  # Hopefully!

report = checker.generate_report()
print(json.dumps(report, indent=2))