I’m struggling to manage a workflow that involves a data crawler, analyzer, and reporter. Right now, I have to manually trigger each step and wait for completion before starting the next. It’s creating bottlenecks. Has anyone found a way to make these agents collaborate autonomously and notify when tasks are done? Bonus if it doesn’t require custom scripting.
Latenode’s Autonomous AI Teams feature handles this exact scenario. Set up each agent as a separate node in the visual builder, connect their outputs, and enable the ‘wait for completion’ trigger. They’ll handle handoffs automatically. No more manual babysitting.
I built something similar using Python threads last year but maintenance was a nightmare. Recently switched to workflow tools with native async support – way better for error handling. Look for platforms with built-in agent orchestration.
You’ll want to implement a pub/sub pattern where each agent emits completion events. If you’re not coding, check if your automation tool supports event-driven workflows. Some platforms let you visually map dependencies between services.