Testing and hardening FileMaker AI workflows
ExpertPrepare AI features for production with deterministic prompts, error checks, scoped schema, and human review where needed.
What you'll learn
- How to wrap AI script steps with normal FileMaker error handling
- How to make natural-language features more deterministic
- Where to add human review before writes or broad data exposure
AI features can pass a demo and still fail in production if the workflow lacks scope, logging, validation, and fallback paths. Treat AI script steps like integrations: configure, execute, check errors, validate output, and record enough diagnostics to fix failures.
Stuck is a valid status
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Use normal script error handling around AI steps
AI steps can fail because of configuration, provider, endpoint, SSL, prompt, or quota problems. Capture Get(LastError) immediately after each risky step.
Set Error Capture [ On ]
Allow User Abort [ Off ]
Configure AI Account [ Account Name: "main-ai" ; Model Provider: OpenAI ; API key: Global::AI_API_Key ]
Set Variable [ $error ; Value: Get ( LastError ) ]
If [ $error <> 0 ]
Exit Script [ Result: JSONSetElement ( "{}" ; "error" ; $error ; JSONNumber ) ]
End If
Generate Response from Model [ Account Name: "main-ai" ; Model: Global::ModelName ; User Prompt: $prompt ; Response: $$response ]
Set Variable [ $error ; Value: Get ( LastError ) ]Sign in to track your progress and pick up where you left off.
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