Built by an operator who has been on the other side of this screen for five years.

For five years before AdsAgent, I ran overseas paid media myself. Hands in the Meta Ads Manager, hands in Google Ads, hands in TikTok Ads Manager — account operator, not strategist-at-a-distance. Monthly spend peaked at about $1M USD across the three platforms.

Five years of that teaches you one thing: the repetitive parts of the job — pacing checks, fatigue rotation, creative variant generation, cohort reconciliation between the ad platform and the MMP — are the parts that most directly decide whether the account makes money. And they are exactly the parts that scale worst with a human operator.

AdsAgent is the product I wished existed. A layer that absorbs five years of operator discipline — the pacing rules, the fatigue signals, the platform-specific gotchas — and lets an AI execute them continuously while a human stays on the strategic decisions.

You can hand AdsAgent a public playbook (Advantage+ Lookalike expansion, Spark Ads layered on Meta retargeting, the TikTok + Google Demand Gen creator collab stack), or you can hand it your own custom strategy — and the agents will execute it against your ad accounts, inside your approval gates, 24/7.

Today the company's own ad business runs almost entirely on AdsAgent. The AI alone spends around $30k USD per day across our active accounts. The return is better than what I got doing 12 hours a day at the screen myself, because the agents never stop watching, never miss a pacing window, and never forget a fatigue rotation.