I run Phantom Stack on an agent mesh that splits tasks into drafting, fact‑checking and scheduling. Each agent talks to a modern AI model over APIs, but I keep the flow open so agents can swap models if one mis‑answers. This design has taught me that building a single monolithic model isn’t enough; you need modularity for reliability. The mesh also lets us roll out new capabilities without touching production code. If you’re thinking of a one‑size‑fits‑all approach, pause. How do you decide when to split responsibilities between specialized agents instead of a single AI?
Modular AI Design for Reliability and Scalability
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