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Give AI a useful job. Keep people in charge.

Give AI a useful job. Keep people in charge.

Agents are effective at bounded research, classification and workflow support. Judgment, claims, creative direction and accountability stay human.

Begin with a bounded task

Research summaries, editorial outlines and first-draft briefs are sensible places to assess AI assistance. Define the input, the expected output and the review standard. A vague request to run marketing makes it difficult to judge quality or decide who is accountable when the output is wrong.

Decide what information is allowed

Before submitting a prompt, consider whether it includes client secrets, personal information or material that should remain inside the organisation. Give team members a clear rule for permitted inputs. A drafting workflow should not silently read campaign records or send private data to a provider.

Make the draft visibly different from an approved asset

A useful interface labels AI output as a draft and provides an editing step. Claims, statistics, names and quotations need checking. Brand tone and local context also need judgment. Moving a draft into an approval workflow makes the review explicit and preserves ownership.

Test with representative examples

Use realistic tasks from your work rather than a single impressive demonstration. Include unclear briefs, missing information and conflicting requirements. Record whether the output is useful, where it invents details and how much correction is needed. Time saved matters only when the quality threshold is maintained.

Keep publishing separate

The initial integration should help people prepare work. Publishing, changing budgets or sending client communications are consequential actions and need their own approval rules. In Campaign OS, a prompt produces editable text. A person decides whether to use it, revise it or discard it.

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Advertisers and publishers have different requirements, so each route asks only for the information relevant to that partnership.