A performance creative agency produces ad creative — statics and video — engineered to perform, with AI doing the production work and humans doing the directing. Instead of a studio billing per asset, the creative engine runs on your own performance data: it studies what already wins in your ad account and your market, generates net-new concepts and iterations of proven ads, and an experienced strategist approves every piece before it spends a dollar. You get the creative volume modern ad platforms demand, at a fraction of traditional production cost.
The production is AI; the judgment is human. The AI-generated ads on this page are drafted from real inputs — your best performers’ hooks, angles, and formats, plus the longest-running ads in your market and the competitor tests already gaining early traction — never from a blank prompt. Every static and video is reviewed, refined, and approved by a creative strategist before launch. AI execution, human support: the machine does the heavy lifting, a professional makes every call that touches your account.
The pipeline runs on MKOS.AI, the proprietary platform we built to run the agency. Your full ad-account history — every ad, every day — sits next to real-time market signals. The system flags fatiguing creative, recommends iterations of winners, and drafts net-new concepts with copy informed by what is actually converting in your niche. Humans review, refine, and launch. The loop repeats weekly, so creative volume never depends on a studio’s calendar.
Both. AI video ads and statics in every placement format Meta and Google run — 9:16 stories and Reels, 1:1 and 4:5 feed, and YouTube pre-roll. Video is drafted from proven scripts and hooks, then edited by AI trained on professional motion-design work — the After Effects-grade overlays, titles, and transitions you would expect from an agency editor, not template slideshows — and approved by a human before it goes live. Because production is AI-driven, testing ten video variations costs what one used to. Watch live examples in the AI video ads section of the creative library.
If we manage your ads, creative is included in the management fee — the full pipeline, statics, video, and ongoing iterations. As a standalone engagement, pricing is scoped to your testing volume on a strategy call. Either way, you skip the per-asset studio model entirely: the point of AI production is that creative volume stops being the expensive bottleneck.
A “winner” has to earn the label twice. First against your account’s own daily benchmarks — thumbstop rate, CTR, cost per acquisition — then against incremental lift: did this ad bring in new customers, or did the platform take credit for buyers you already had? Meta runs on bid caps with incrementality-based measurement, and independent attribution tools verify the new-customer return before we scale anything. Ads that clear both bars get iterated into families of variations; ads that don’t get cut — and you see the same numbers we do.
Both — we create the ads and we run the media. The creative exists to be launched and measured, not delivered as files and forgotten: the same team that produces the work buys the media behind it, so every concept is accountable to performance from day one. Studios hand off assets; here production, media buying, and measurement live in one loop — which is what most brands searching for an AI ads agency actually need.
Volume is scoped to your testing budget, not pulled from a package tier. AI drives production cost toward zero, but two real costs remain: senior QA on every ad before it spends, and the media budget each test needs to reach an honest verdict — we don’t call winners on underspent tests. On the intro call we review the brand and current spend, forecast from your account’s hit rate, set targets, and lock a testing cadence — then scope creative volume to feed exactly that. Producing more ads than your budget can measure isn’t volume, it’s waste.
We think of AI like a piano: sit down without knowing how to play, and the noise you make doesn’t mean the instrument can’t make music — Beethoven got symphonies out of the same keys. AI slop is what a blank prompt produces. This engine starts from evidence: your full ad history, your customer reviews, and every ad your competitors run — their longest-running winners (the ads thousands of tests already paid for), the fresh tests already gaining traction, and the trends breaking early. Those get reverse-engineered — the copy, the angles, the formats — and the latest models turn them into net-new ads in your brand voice, on your brand book, with a senior strategist reviewing every frame before it spends a dollar. The “creative intuition” traditional agencies sell is pattern recognition — and nothing recognizes patterns like AI fed the right data. That’s the difference between AI slop and AI with standards.
Every ad is generated against your brand book — voice, visual identity, claims you can and cannot make — and drafted from your own copy corpus, so the output reads like you, not like a template. Anything the model produces still passes human review before launch; nothing off-brand ever reaches your ad account. If you don’t have a formal brand book yet, we build the working version during onboarding from your site, your best ads, and your reviews. And if it makes you more comfortable, we’ll keep your creative director in the loop — CC’d on deliverables with a say before anything ships.