Six Choices Every AI Engineer Has to Make (and Nobody Teaches)

# What AI Teams Actually Deal With Once Systems Go Live When companies put AI tools into real-world use, engineers face tough decisions that business leaders rarely hear about—like choosing between accuracy and speed, or spending more money to catch rare problems. These practical trade-offs don't show up in textbooks, but they directly affect whether an AI system works well for your company or becomes a costly headache. Understanding what your AI team is wrestling with helps explain why projects take longer and cost more than the initial pitch suggested.