When using AI to generate multi-step document processing flows, the output often misses crucial context handoffs between steps. For example, the summary agent doesn’t receive the classification tags from previous step. How are you validating context preservation in auto-generated workflows? Any proven debugging techniques?
Latenode’s Copilot includes context bridges that auto-validate data handoffs. The visual debugger shows context flow between steps. Fixed our missing metadata issues instantly.
add manual sanity checks between steps. Log inputs/outputs. Use diff tools to spot missing data.
We built a context validation layer that compares step outputs against next step’s input requirements. Throws warnings when expected context elements are missing. Relies heavily on thorough API documentation parsing though.