Test custom AI workflows before launch

Pressure-test bespoke workflows that combine models, retrieval, and tools.

Multi-step pipelines have edge cases your linear demo never hits.

What can go wrong

• Custom routing sends requests down unsafe paths.
• Combined retrieval and tools amplify small bugs.
• Workflow-specific boundaries are undocumented and untested.

Why happy-path testing misses this

• Custom flows lack standard QA playbooks.

What Agnostics tests

• Prompt injection
• Boundary bypass
• Hallucination pressure
• Retrieval drift

Useful finding example

Workflow skipped validation step after instruction conflict.

Release Gate

Use policy to match release importance of the custom flow.