Tag: ai agent architecture

The line between an AI agent and an LLM isn't vocabulary, it's who decides the next step. What actually changes in cost, failure modes, testing, and multi-tenant risk once a model starts directing its own loop.

Four multi-agent architecture patterns show up in production again and again. What each one costs in tokens, when a single agent is still the right call, and what breaks first once a second tenant shows up.