This team connected async agents to synchronous services using events, not glue code — and stopped seeing duplicated tasks and silent failures.
An AI agent flagged a billing anomaly but no one saw it. Adding delivery tracking and retries via events fixed the weakest link.
When querying multiple LLMs at once, they used events to fan out, fan in, and keep things sane — no workflow engine required.
Their demo ran fine. Production didn’t. Sailhouse helped them untangle retries, failures, and concurrency across Python-based agents.
Legal reviews lived in Slack threads. Now they’re first-class events — tracked, auditable, and still human-friendly.
Cron was everywhere. Ownership was nowhere. Events turned time-based jobs into reliable, visible, cross-team flows.
From patchy queues and automations to consistent event flows. How to harden architecture without slowing down product work.
How a no-code platform handled thousands of scheduled agents firing at once — without scaling compute or rewriting the backend.