Creator and personal brand, United Arab Emirates
Before
Everything ran through one person's memory: which brand approved what, what was due, which posts performed, which prospects were worth chasing, and whether the website's own content was still accurate. Growth made it worse.
What we built
- Built an audience data warehouse that syncs every few hours and archives Instagram media before the platform's links expire
- Built a prospecting agent that drafts brand outreach from a fact sheet pulled live from Instagram, so it can only cite numbers that are true right now
- Built a budget-capped ad autopilot that boosts her best-performing organic posts, with the daily spend hard-capped in the code and re-checked on every run
- Audited and rebuilt the site's blog end to end, then replaced unsupervised auto-publishing with three automatic checks a piece must clear before it goes live
What changed
- Publishing and outreach happen on a schedule, without her at a keyboard
- Ad spend has a hard ceiling that cannot creep, re-applied automatically every run
- The blog publishes itself again, but only after clearing style rules, an editor pass and a live fact-check; anything that fails is held back, not shipped
Where a person stays in charge
- Any figure in an outreach email must come from a live fact sheet pulled from Instagram. The model cannot cite a number it was not given.
- Ad spend is hard-capped in the code itself, with a separate kill switch and a dry-run mode used before it ever went live.
- The blog fails closed: if a check errors, times out, or the piece does not clear the bar, it is held back automatically rather than published and fixed later.
How it is measured
Posts published and prospects contacted per month, read from the system's own run logs. Article accuracy is checked by the same automatic fact-checker that gates publication, re-run weekly against everything already live.
What stays confidential
Her brand deal terms, her rates, and her exact audience figures.
Same shape as your process?
Tell us what the equivalent task costs you today and we will tell you what this shape would take to build for you, what it should return, and where to start. Thirty minutes, no slides.
Services this came from
Make the next AI project one the business can measure.
Thirty minutes with the founder, no slides. You will know what the right solution looks like, what it would take to build, what it should return, and which part to start with.
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