A typical content flow
Taking "product information entering multiple social media content scenarios" as an example, the process can be:
- Read confirmed product information and current version;
- Propose content angles based on target groups and channels;
- Generate structured drafts;
- Check product facts, banned expressions, formatting and missing items;
- The business personnel will review the facts and the brand manager will confirm the expression;
- Generate channel adaptation versions and keep release records;
- Recycle modification comments and results into intellectual assets.
What decisions must humans be responsible for?
| link | Human responsibility |
|---|---|
| product facts | Confirm specifications, capabilities, limitations, applicable conditions and latest versions. |
| Brand judgment | Confirm tone, commitment, risk expression, and release decisions. |
| Exception handling | Address conflicting data, missing information, and unverifiable conclusions. |
| Permissions and Compliance | Decide which information can be used, disclosed, or handed over to third-party systems. |
implementation and delivery
- Input data and field specifications;
- Workflow logic, agent configuration and rule list;
- Manual review and exception handling nodes;
- Test samples and verification records;
- Operating instructions, version information and maintenance boundaries.
How to verify the effect?
Record the number of steps, labor time, turnaround time, reasons for rework and quality issues of similar tasks before implementation; use similar business samples for retesting after implementation. Efficiency gains cannot come at the expense of factual errors, lack of traceability, or unclear audit responsibilities.
Whether to connect to an external platform and execute it automatically needs to be decided individually based on the platform interface, account permissions, risk level and project scope. In most scenarios, the closed loop of "generation-inspection-manual confirmation" should be verified first.
Where is the right place to start?
Prioritize tasks that are high-frequency, repetitive, have relatively clear rules, have historical samples, and allow human review, such as product data organization, content draft, channel format adaptation, data inspection, and audit record archiving.