Why Multi-Agent Systems Fail And the Engineering Blueprint to Make Them Actually Work
Multi‑Agent systems are a big deal in modern AI and automation. The idea is simple. Instead of one AI doing everything, we have multiple autonomous agents that each handle part of a job. In theory, this should make systems smarter, faster, and more flexible. But in practice, many Multi‑Agent projects fail before they ever make it to production.
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