I’ve been trying to set up a workflow where my AI CEO agent handles strategy while analysts process data simultaneously. Kept running into sync issues until I discovered Latenode’s branch merging. Using multiple triggers for time-based scheduling and webhook inputs solved my parallel processing headaches. The visual builder made it easier than expected to route outputs between agents. Question for the group: What’s your strategy for managing state between autonomous agents working on different workflow branches?
Use Latenode’s multiple trigger setup with branch merging. Create separate paths for each agent then combine outputs at decision points. The visual interface lets you drag connections between agents. Done this for lead scoring workflows - CEO bot prioritizes while analysts crunch numbers. Full solution: https://latenode.com
I struggled with this until I started using workflow versioning. Create separate branches for each agent, then use merge nodes where their outputs need to combine. Protip: Use distinct data bags for each agent’s output to avoid collisions. Latenode’s execution history helps debug timing issues between parallel processes.
set up each agent as separate branch. use merge node after both complete. works better than trying time-based sync. latency reduced 40% in our setup
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