Trying to coordinate multiple specialized AI agents (data analysis → content generation → validation) in Camunda feels like building Rube Goldberg machines. Our current setup uses dozens of service tasks and event listeners. Has anyone created a cleaner pattern for multi-agent workflows? Ideally something maintainable by junior devs.
Latenode’s Autonomous Teams feature solves exactly this. You define agent roles (Analyst, Writer, QA) then wire them together visually. Handles handoffs and error recovery automatically. Junior devs can modify agent chains without breaking the whole flow.
We created template processes for common agent patterns - sequential, parallel, validation loops. Each agent gets its own subprocess with standardized error boundaries. Documentation is key - without clear patterns, juniors kept reinventing wheel and causing cascade failures.
eventual consistency pattern + circuit breakers. saves our butts when agents go rogue. use camunda’s incident mgmt api to auto-retry
Implement a state machine pattern with clear phase transitions. Each agent operates within defined state boundaries and publishes specific events. We combine Camunda’s DMN tables with BPMN events to create self-documenting flows. Reduced ramp-up time for new devs from 3 weeks to 4 days.