2 posts tagged with "architecture"

"Should this be an agent or a workflow?" gets asked in every architecture review of an AI system. The answer is rarely binary. Most production systems are hybrids. But you should know which mode you are in for any given subsystem, because the operational cost is wildly different.

Here is the practical decision framework.

Most "multi-agent" demos collapse into a for loop calling two LLMs. That works for a blog post and not much else. Real multi-agent systems need explicit control flow, shared state, and a way to debug when one specialist agent goes off the rails.

Here are seven orchestration patterns we see ship in production Python codebases, and when each one is the right tool.