Why agents need guardrails, not blank pages
Raw LLM output in a textarea scales chaos: wrong tone, invented claims, and no audit trail. The Fig agent works inside structured fields and policies—drafting, varianting, and suggesting next steps where humans already review and publish.
How it fits the workflow
| Layer | Role |
|---|---|
| Content manager | Canonical facts and approved language |
| Personas & offers | Bounds for tone and positioning |
| Variants & pages | Concrete surfaces to apply changes |
| Human approval | Required promotion for customer-facing text |
Speed without losing the brand
The agent proposes fills and alternatives you can accept, edit, or reject. Governance stays intact because the system—not the model—invents the schema at request time.
When this is the right next step
If your team wants AI assistance but cannot afford “surprise copy in prod,” agent-assisted workflows on rails deliver leverage with an audit path your compliance-minded colleagues can live with.