Question

A marketing team needs to process incoming press releases through a fixed, well-understood pipeline: first extract key facts, then draft a social media post from those facts, then translate the post into three target languages. Each step's output feeds directly into the next, the sequence never changes, and the team wants the most predictable and debuggable implementation. Which approach best fits this task?

Accepted Answer

Build a prompt-chaining workflow where each step is a separate model call whose structured output is passed to the next step

Answer

Deploy an autonomous agent that decides at runtime which extraction, drafting, and translation actions to take

Answer

Use an orchestrator-workers pattern that dynamically spawns subtasks based on each press release's content

Answer

Send one large prompt asking the model to do extraction, drafting, and translation all at once with no intermediate outputs