The emergence of AI products represents the most significant shift in software development since the move from desktop to cloud computing. As a product leader, you're no longer building deterministic systems where input A always produces output B—you're now orchestrating probabilistic systems that learn, adapt, and sometimes surprise you.
123456789101112from dataclasses import dataclass from typing import List, Optional import numpy as np @dataclass class AIResponse: content: str confidence: float uncertainty_factors: List[str] fallback_triggered: bool class ConfidenceScorer:
123456789101112interface AIFeatureConfig { name: string; confidenceThreshold: number; latencyBudgetMs: number; fallbackBehavior: 'hide' | 'disable' | 'simplify' | 'human'; degradationLevels: DegradationLevel[]; } interface DegradationLevel { trigger: 'confidence' | 'latency' | 'error_rate' | 'manual'; threshold: number; action: () => void;
123456789101112from dataclasses import dataclass from typing import Dict, List, Optional import hashlib from datetime import datetime import statistics @dataclass class AIExperiment: name: str control_model: str treatment_model: str allocation_percentage: float