LabAgree the test before the build
Choose representative tasks and define what a good result looks like. Include incomplete inputs, ambiguous requests, and situations where the system should stop.
Test the action boundary
A fluent answer is not proof that an action is correct. Validate structured output, business rules, authorization, and duplicate handling before downstream execution.
Plan for dependency changes
Record model and application versions. Rerun regression checks when a model, prompt, data source, or integration changes. Define a fallback when a provider is unavailable.
Assign operational responsibility
Agree who monitors errors, reviews exceptions, maintains integrations, and approves updates. Support coverage and response expectations belong in the engagement scope.
Further reading
NIST AI Risk Management Framework covers evaluation and operational risk. OWASP’s prompt injection guidance explains untrusted inputs and permission boundaries.
An AIS Lab editorial perspective. Architecture and operating choices depend on the requirements of each application.