📘 The AI CFO Handbook for Creators, Hustlers, and Side-Questers

def quantum_roi_simulator(scenario_type, current_metrics, risk_tolerance, vibe_alignment):
    """
    Simulate ROI with quantum vibe mechanics.
    """
    import random
    import math
    scenario_matrix = {
        'mrbeast_collab': {'revenue': 13.37, 'engagement': 4.20, 'risk': 0.1, 'cat_rating': 5},
        'meme_backfire': {'revenue': -0.69, 'engagement': 2.0, 'risk': 0.9, 'cat_rating': 1},
        'algorithm_apocalypse': {'revenue': -0.4, 'engagement': -0.3, 'risk': 0.5, 'cat_rating': 2},
        'cat_grammy': {'revenue': float('inf'), 'engagement': float('inf'), 'risk': 0, 'cat_rating': 10},
        'burnout_spiral': {'revenue': -0.8, 'engagement': -0.6, 'risk': 0.95, 'cat_rating': 0.5},
        'nft_crash': {'revenue': -0.9, 'engagement': 0.5, 'risk': 0.8, 'cat_rating': 3},
        'tiktok_ban': {'revenue': -0.6, 'engagement': 1.0, 'risk': 0.7, 'cat_rating': 3},
        'ai_ban_panic': {'revenue': -0.5, 'engagement': 2.0, 'risk': 0.7, 'cat_rating': 2}
    }
    base_impact = scenario_matrix.get(scenario_type, {'revenue': 0, 'engagement': 0, 'risk': 0.5, 'cat_rating': 2})
    vibe_multiplier = (vibe_alignment ** 2) * 1.618
    risk_adjustment = (1 - risk_tolerance) * base_impact['risk']
    chaos_factor = random.uniform(0.8, 1.2)
    revenue_change = base_impact['revenue'] * vibe_multiplier * chaos_factor
    engagement_shift = base_impact['engagement'] * (vibe_alignment + 0.5)
    final_risk = max(0, min(1, risk_adjustment * chaos_factor))
    return {
        'scenario': scenario_type.replace('_', ' ').title(),
        'revenue_impact': f'{revenue_change:+.1%}' if revenue_change != float('inf') else '∞% (Transcendent)',
        'engagement_shift': f'{engagement_shift:+.1%}' if engagement_shift != float('inf') else 'Reality Bending',
        'risk_level': 'Existential Crisis' if final_risk > 0.8 else
                      'High Chaos' if final_risk > 0.6 else
                      'Medium Volatility' if final_risk > 0.3 else 'Smooth Sailing',
        'cat_approval': '😻' * min(5, max(1, int(base_impact['cat_rating']))),
        'recovery_time': 'N/A' if final_risk < 0.3 else f'{int(final_risk * 12)} months',
        'action_plan': [
            '🧘 Cat therapy' if final_risk > 0.7 else
            '🌐 Diversify platforms' if final_risk > 0.5 else
            '🚀 Launch premium content'
        ]
    }

function roiSimulator(scenario, metrics, riskTolerance, vibeAlignment) {
    const scenarios = {
        mrbeast_collab: { revenue: 13.37, engagement: 4.20, risk: 0.1, cat_rating: 5 },
        meme_backfire: { revenue: -0.69, engagement: 2.0, risk: 0.9, cat_rating: 1 },
        algorithm_apocalypse: { revenue: -0.4, engagement: -0.3, risk: 0.5, cat_rating: 2 },
        cat_grammy: { revenue: Infinity, engagement: Infinity, risk: 0, cat_rating: 10 },
        burnout_spiral: { revenue: -0.8, engagement: -0.6, risk: 0.95, cat_rating: 0.5 },
        nft_crash: { revenue: -0.9, engagement: 0.5, risk: 0.8, cat_rating: 3 },
        tiktok_ban: { revenue: -0.6, engagement: 1.0, risk: 0.7, cat_rating: 3 },
        ai_ban_panic: { revenue: -0.5, engagement: 2.0, risk: 0.7, cat_rating: 2 }
    };
    const base = scenarios[scenario] || { revenue: 0, engagement: 0, risk: 0.5, cat_rating: 2 };
    const vibeMultiplier = (vibeAlignment ** 2) * 1.618;
    const chaosFactor = Math.random() * 0.4 + 0.8;
    const revenueChange = base.revenue * vibeMultiplier * chaosFactor;
    const engagementShift = base.engagement * (vibeAlignment + 0.5);
    const finalRisk = Math.max(0, Math.min(1, (1 - riskTolerance) * base.risk * chaosFactor));
    return {
        scenario: scenario.replace('_', ' ').toUpperCase(),
        revenue_impact: revenueChange === Infinity ? '∞% (Transcendent)' : `${revenueChange.toFixed(1)}%`,
        engagement_shift: engagementShift === Infinity ? 'Reality Bending' : `${engagementShift.toFixed(1)}%`,
        risk_level: finalRisk > 0.8 ? 'Existential Crisis' : finalRisk > 0.6 ? 'High Chaos' : finalRisk > 0.3 ? 'Medium Volatility' : 'Smooth Sailing',
        cat_approval: '😻'.repeat(Math.min(5, Math.max(1, Math.floor(base.cat_rating)))),
        recovery_time: finalRisk < 0.3 ? 'N/A' : `${Math.floor(finalRisk * 12)} months`,
        action_plan: finalRisk > 0.7 ? 'Cat Therapy' : finalRisk > 0.5 ? 'Diversify Platforms' : 'Launch Premium Content'
    };
}

def optimize_creator_portfolio(income_streams, risk_profile, goals, cat_sentiment):
    """
    Optimize portfolio with chaos mathematics.
    """
    import numpy as np
    asset_categories = {
        'stable_income': {'return': 0.15, 'volatility': 0.05, 'weight': 0.42},
        'growth_platforms': {'return': 0.35, 'volatility': 0.25, 'weight': 0.35},
        'chaos_experiments': {'return': 1.20, 'volatility': 0.80, 'weight': 0.20},
        'cat_empire': {'return': float('inf'), 'volatility': 0.01, 'weight': 0.03}
    }
    cat_multiplier = {'purring': 1.5, 'neutral': 1.0, 'hissing': 0.7, 'plotting': 2.0}
    multiplier = cat_multiplier.get(cat_sentiment, 1.0)
    total_income = sum(income_streams.values())
    optimized_allocation = {}
    for category, params in asset_categories.items():
        target_amount = total_income * params['weight'] * multiplier
        current_amount = income_streams.get(category, 0)
        rebalance_needed = target_amount - current_amount
        optimized_allocation[category] = {
            'current': current_amount,
            'target': target_amount,
            'action': 'increase' if rebalance_needed > 0 else 'decrease',
            'amount_change': abs(rebalance_needed),
            'expected_return': params['return'] * multiplier,
            'risk_level': params['volatility']
        }
    return {
        'optimized_allocation': optimized_allocation,
        'total_expected_return': sum(p['expected_return'] * p['weight'] for p in asset_categories.values()) * multiplier,
        'portfolio_risk': sum(p['volatility'] * p['weight'] for p in asset_categories.values()),
        'cat_approval': '😻😻😻' if multiplier > 1.2 else '😻😻' if multiplier > 1.0 else '😿',
        'rebalancing_urgency': 'IMMEDIATE' if any(abs(a['amount_change']) > total_income * 0.1 for a in optimized_allocation.values()) else 'WEEKLY'
    }

function optimizePortfolio(streams, riskProfile, goals, catSentiment) {
    const categories = {
        stable_income: { return: 0.15, volatility: 0.05, weight: 0.42 },
        growth_platforms: { return: 0.35, volatility: 0.25, weight: 0.35 },
        chaos_experiments: { return: 1.20, volatility: 0.80, weight: 0.20 },
        cat_empire: { return: Infinity, volatility: 0.01, weight: 0.03 }
    };
    const catMultiplier = { purring: 1.5, neutral: 1.0, hissing: 0.7, plotting: 2.0 };
    const multiplier = catMultiplier[catSentiment] || 1.0;
    const totalIncome = Object.values(streams).reduce((sum, v) => sum + v, 0);
    const allocation = {};
    for (const [category, params] of Object.entries(categories)) {
        const target = totalIncome * params.weight * multiplier;
        const current = streams[category] || 0;
        allocation[category] = {
            current, target,
            action: target > current ? 'increase' : 'decrease',
            amount_change: Math.abs(target - current),
            expected_return: params.return * multiplier,
            risk_level: params.volatility
        };
    }
    return {
        optimized_allocation: allocation,
        total_expected_return: Object.values(categories).reduce((sum, p) => sum + p.return * p.weight, 0) * multiplier,
        portfolio_risk: Object.values(categories).reduce((sum, p) => sum + p.volatility * p.weight, 0),
        cat_approval: multiplier > 1.2 ? '😻😻😻' : multiplier > 1.0 ? '😻😻' : '😿',
        rebalancing_urgency: Object.values(allocation).some(a => a.amount_change > totalIncome * 0.1) ? 'IMMEDIATE' : 'WEEKLY'
    };
}

def burnout_battle_simulator(hours_worked, engagement_drop, vibe_crash):
    """
    Simulate burnout risks for creators.
    """
    BURNOUT_THRESHOLD = 0.7
    burnout_score = (hours_worked / 100 + engagement_drop + vibe_crash) / 3
    recovery_plan = 'Nap with cats' if burnout_score > BURNOUT_THRESHOLD else 'Keep hustling'
    return {
        'burnout_score': f'{burnout_score:.2f}',
        'status': 'Redline' if burnout_score > BURNOUT_THRESHOLD else 'Chill',
        'recovery_plan': recovery_plan,
        'cat_wisdom': '😻😻😻 Purr through it' if burnout_score < BURNOUT_THRESHOLD else '😿 Emergency cuddles'
    }

function burnoutBattleSimulator(hoursWorked, engagementDrop, vibeCrash) {
    const burnoutThreshold = 0.7;
    const burnoutScore = (hoursWorked / 100 + engagementDrop + vibeCrash) / 3;
    const recoveryPlan = burnoutScore > burnoutThreshold ? 'Nap with Cats' : 'Keep Hustling';
    return {
        burnout_score: burnoutScore.toFixed(2),
        status: burnoutScore > burnoutThreshold ? 'Redline' : 'Chill',
        recovery_plan: recoveryPlan,
        cat_wisdom: burnoutScore < burnoutThreshold ? '😻😻😻 Purr Through It' : '😿 Emergency Cuddles'
    };
}