Multi-agent systems need three layers of visibility. System health, run quality, and workflow state. We run a stack of Sentry, Langfuse, and LangGraph for that. Three tools, three clearly separated jobs, none can solve the problem of the others. Here is how it plays together at our place and why exactly this combination. Multi-agent systems have a property that everyone underestimates the first time they see one in production. A single LLM call is transparent. You put a prompt in, you get an answer out, you see both. A pipeline of eight agents collaborating over four days is a black box with eight doors, each one having a different assumption about what the other seven are currently doing. We operate a fleet of around 40 worker agents distributed across eight specialized fleets. A pipeline that designs, builds, reviews, and publishes MCP servers. A memory product squad that continuously improves our SaaS memory. An academy content pipeline. SaaS operations.…