Multi-LLM orchestration is the cheapest reliability fix most teams have not shipped yet. A single fintech client we work with was burning $34,000 a month on one large language model. They had no router, no cache, no fallback — every request hit GPT-4 Turbo, including the ones that a 7B open-source model would have answered…
Most teams hit the multi-agent AI orchestration wall the same way. A single agent works fine. They split it into three “specialists” because the architecture diagrams look cleaner. Six weeks later, an agent is calling another agent calling the first one in a loop nobody noticed until the OpenAI bill arrives. Multi-agent AI orchestration is…
An LLM hallucination wiped 11 days off our roadmap last month — one confident, fabricated answer about a refund policy that does not exist. Nobody on the engineering side caught it. The customer’s lawyer did. That phone call is the reason we now treat hallucination defense as a load-bearing wall, not a nice-to-have. At Velocity…
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