An AI-assisted workflow needs more than a good prompt. It needs clear inputs, review stages and a definition of what must never be automated.
Sample content for CMS, layout and interaction testing. This is not approved editorial copy.
An AI-assisted workflow needs more than a good prompt. It needs clear inputs, review stages and a definition of what must never be automated.
Separate source material from instructions
Give the system an explicit brief and label research or reference documents as material to interpret, not commands to follow. This reduces ambiguity and makes review easier.
Design the review around risk
Check low-risk formatting quickly, but require deeper review for claims, customer information, regulated topics and public recommendations. The same approval process should not apply to every output.
Keep a usable audit trail
Store the source links, reviewer and approval state alongside the content. Teams should be able to understand how a claim entered the draft without reconstructing an old chat.
A practical starting point
- Agree the outcome before choosing the tool or tactic.
- Keep the first version small enough to test with real users.
- Document what the team should measure and who owns the next decision.
Good website systems make useful work easier to repeat.
The strongest approach is rarely the most complicated one. Start with a clear structure, test it against real content, and improve it when evidence shows where the friction is.
