Beyond AI Wrappers: Engineering Multi-Agent Systems That Scale

As AI fatigue mounts from countless shallow wrappers, this article addresses the critical infrastructure gap: building AI systems that solve real enterprise problems at scale. It introduces a practical blueprint using multi-agent orchestration and the Supervisor Pattern to replace brittle monolithic prompts with fault-tolerant, deterministic workflows. For backend engineers and AI product teams, this represents a fundamental shift from API wrappers to genuine backend systems where agents perform meaningful work.