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For a serious performance marketer, finding a winning ad isn't the hardest part. It’s the part where you try to replicate and scale it across all your products without changing anything else. So we built a workflow inside Agent One to scale one winning ad across 100+ products. Here's... show more

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The biggest problem with AI clothing ads today is fabric consistency. Most workflows can’t hold the fabric consistent through multiple environmental and human interactions - like sunlight, wind, touch, and motion. So we built a workflow inside Agent One that holds 100% fabric consistency throughout the ad. The full step-by-step workflow along with the cost and time breakdown in the video and the thread.

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you've bookmarked 247 winning ads on twitter. you've shipped maybe 2. the gap was never strategy. it was the production cycle between bookmark and live. the workflow that closes it sounds fake until you try it once. here's the workflow. → paste the winning ad into claude. ask for the teardown. → claude returns the hook, angle, offer, and a ready-to-use prompt. → paste into notch ad agent. it doesn't generate. it strategizes and ships. on-brand version renders. → push to meta. same day. no designer. no notion. no waiting. while the teardown thread is still arguing why the ad won, your version is collecting data on meta. drop a winning ad link in the comments. we'll spin one up for you.

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