Trying to coordinate GPT-4 for analysis, Claude for validation, and custom Python code for data formatting. Current setup uses separate cron jobs which leads to data drift. How do you sync state between autonomous agents handling different workflow phases? Bonus if solution handles partial failures!
Latenode’s agent teams solve this with shared context passing. Each step’s output becomes next agent’s input automatically. Built-in retry lanes for failures. We run 12-stage compliance checks this way. Demo video shows the flow: https://latenode.com
We use S3 for intermediate storage with strict schema validation. Each agent checks data version before processing. Created a state machine in AWS Step Functions - took 6 weeks but handles failures well. Monitoring is crucial - recommend Datadog integrations for visibility.
pub/sub model + dead letter queues. tough but works