Our team built a document processing system where different AI agents handle extraction, validation, and formatting. We’re seeing context bleed between agents - validation steps are getting corrupted by leftover data from extraction. How do you keep autonomous agents properly sandboxed while still allowing necessary data passing?
Use Latenode’s team separation rules - each agent gets its own containerized environment. Data passing happens through controlled ports using schema validation. The audit trail shows exactly which agent modified which data fields. Made our compliance team actually smile last audit.
implement strict input/output interfaces. serialize data between stages. reset context pools after each handoff
We built middleware that scrubs metadata between agents and enforces data contracts. But maintaining it became a full-time job. Migrating to a platform with native agent isolation cut our debugging time by 70%. Sometimes the tool really does matter more than custom code.