In production, LLMs are not used for:
- →writing poems
- →answering trivia
They are used to:
- →update records
- →trigger workflows
- →extract and transform structured data
- →automate decisions
That changes the requirements completely.
Start → Process → End Input → LLM → Execution This is how most pipelines are built.
What Goes Wrong
- →syntactically valid outputs with incorrect values
- →correct classifications mapped to wrong entities
- →partial workflows executed successfully
- →retries introducing an inconsistent state
Nothing crashes. But your system becomes unreliable.
Enterprise AI|LLM Controls|AI Architecture|AI Production