ai // LLM EngineeringSTUDY

LLM Assistance — Constrain Output to a Schema

Use explicit schemas and validation when AI assists with repeatable engineering work.

aillmschemavalidation

Trust & provenanceSTUDY

Evidence tierSTUDYOfficial sources0Other sources0Last verifiedNot recorded

Evidence tier describes my hands-on relationship with the content. Official sources describe platform contracts/documentation. Production observations should not automatically be treated as official limits.

Task: classify this SFMC object.
Return ONLY JSON matching:
{
  "object_type": "data_extension|automation|query|journey|content",
  "risk": "low|medium|high",
  "reasons": ["..."],
  "needs_human_review": true
}

Rules:
- Never invent dependencies.
- Mark unknown values explicitly.
- Keep evidence separate from inference.

Operational notes

AI-assisted work still needs deterministic validation when output feeds automation or migration decisions.

LLM Assistance — Constrain Output to a Schema

Keep following the context.