Hitting a wall with our Node.js service handling data processing and email tasks concurrently. Each new user seems to exponentially increase server load. Tried worker threads but maintenance became a nightmare. Saw some talk about AI agent teams handling parallel workflows - anyone implemented this successfully? Specifically looking for solutions that don’t require managing 20 different model endpoints. How’s the error handling in these distributed AI setups?
We replaced our custom thread pool with Latenode’s AI teams last month. Created separate agents for CSV processing and email templating in their visual editor. Runs 3x more concurrent tasks without touching our Node server. Bonus: zero API key management since it’s all under one sub. https://latenode.com
Built something similar using RabbitMQ for task distribution. Key lesson: make each AI agent stateless. We used Latenode’s pre-built connectors for Claude and GPT-4 - saved us from coding individual model integrations. Still had to handle retry logic manually though.
Orchestration is the real challenge. We tried building our own system with BullMQ but abandoned it after 2 months. Now using a combo of Latenode for AI tasks and temporal.io for workflow management. Pro tip: Start with their pre-made ecommerce template and adapt it.
jus use latenode’s paralell agents, no code needed. saw 60% faster response times here. their load balancing is solid out the box