Building a Guardrailed AI Translation Pipeline with Coldfusion's Native AI APIs
Building a Guardrailed AI Translation Pipeline with ColdFusion’s Native AI APIs

Part 1
Translate One Field
Before we build a translation pipeline, we need one reliable model call, and somewhere sensible to put it.

Part 2
Deciding What Needs Translation
The model can translate a field. Now I need to stop asking it to translate the same field every time somebody changes a comma.

Part 3
Making the Model Return Data I Can Trust
Use ColdFusion’s native schema guardrails to get structured translations, then check that every field and placeholder survived the trip.

Part 4
Translating Long Content Without Losing the Plot
Split long content into manageable pieces, validate each translation, and keep incomplete results out of the database.

Part 5
The Model Doesn’t Get a Publish Button
Draft, review, and publish AI translations without letting the model decide what goes live.

Part 6
Take the Translation Job Out of the Browser
Run translation in the background, retry it without a stampede, and find failures without putting page content in a log.