What is your goal?
I’m looking for 1 real Make scenario payload to test a narrow reliability layer for AI execution.
The goal is not generic extraction.
The goal is to return one of only two terminal outcomes:
- succeeded
- failed_safe
I’m especially interested in scenarios where malformed structured output breaks something downstream.
What is the problem & what have you tried?
The problem is silent AI failure in automation scenarios where bad structured output causes downstream breakage or expensive manual rework.
I’m looking for one real Make scenario where this actually matters, for example:
- invoice / AP automation
- procurement or document workflows
- ticket routing / compliance classification
- any workflow where malformed output breaks downstream systems or creates costly review work
What I need:
- one sample payload
- one target schema
- one short note on what breaks downstream if the output is wrong
- polling or webhook preference
What I return:
- terminal outcome (succeeded or failed_safe)
- failure classification if relevant
- public-safe receipt / trust artifact
- initial evaluator review within 24 hours
What I’ve already tried:
- I built a narrow evaluator surface instead of a broad generic extraction layer
- I created a submission page for real payload testing
- I’m now looking for one real scenario payload to pressure-test the reliability layer
Error messages or input/output bundles
No specific Make error message yet.
This is a request for one real scenario input/output case to test reliability under real workflow conditions.
If helpful, the payload should ideally include:
- sample input payload
- expected target schema
- short note about downstream failure impact
- polling or webhook preference