Why Your AI Agent Demo Falls Apart in Production

Your agent demo crushed it on stage. The audience clapped. Your PM high-fived you. The travel-planning agent nailed it — a 4-day hiking trip, budget-friendly, one fancy dinner on night three. Beautiful. Then you deployed it and… it fell apart. Not dramatically. Not all at once. It just started doing weird things. Booking a hotel in Paris, then recommending a restaurant in London. Picking a "budget" flight that cost $1,200. Suggesting a hiking trail that's been closed since 2019. Death by a thousand paper cuts. If this sounds familiar, you're not alone. And the problem isn't your model, your prompt, or your vibes. It's math. Multi-Step Agents Are Distributed Systems (Whether You Like It or Not) Here's the thing nobody tells you when you're building that first agent prototype: a multi-step AI agent is a distributed system. Every tool call is a network request that can fail, time out, or return garbage. Every reasoning step is a non-deterministic decision that might go sideways. Your trav