February 22, 2026
An agent without a workflow pattern is a chatbot. What separates an agent from a single-turn LLM call is the loop: observe the environment, reason about what to do, act, observe the result, and decide whether to continue. The loop structure determines everything – how the agent plans, how it recovers from errors, when it stops, and whether it can handle tasks that take minutes or hours.
February 22, 2026
A single agent can read files, call APIs, and reason about results. But some tasks are too broad, too slow, or too dangerous for one agent to handle alone. Debugging a production outage might require one agent analyzing logs, another checking infrastructure state, and a third reviewing recent deployments – simultaneously. Multi-agent coordination is how you split work across agents without them stepping on each other.
The hard part is not spawning multiple agents. The hard part is deciding which coordination pattern fits the task, how agents share information, and what happens when they disagree.