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That competitor ad that's been running for 6 weeks? It's been compounding data you don't have. The physics behind it is still yours to clone. We used to watch winning ads and try to reverse engineer them manually. Screenshot. Stare. Write something similar. Never quite landed the same way....

11,126 views • 6 months ago •via X (Twitter)

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I just built a self-improving second brain in Claude Code 🤯 A brain that runs your brand: every tool reads from it, it's wired to your live data, and it gets smarter every week. All running on the Claude Agent SDK. Perfect for DTC brands and agencies whose AI output sounds generic because every new chat starts from zero. If you're re-explaining your brand to AI every single time — re-pasting the voice guidelines, re-describing the customer you've described a hundred times, re-uploading the same positioning doc you uploaded yesterday, and still editing for an hour to strip out the generic phrasing... A brand second brain fixes the entire loop: → Build 3 foundation files once: brand DNA, voice, and customer → Every skill you create reads from them automatically → Wire in live data — your ad account, competitor ads, customer reviews → A weekly routine refreshes the brain with what's actually working → Every output comes back on-brand on the first pass No re-briefing AI on every chat. No hour of editing to undo generic phrasing. No brain that goes stale the week after you build it. What a second brain gives you: → The exact 3-file foundation that runs the whole system → The skill structure that makes every tool brand-aware by default → The live-data wiring that keeps it grounded in reality → The weekly self-improvement loop that keeps it sharp → The cold-start sequence to stand it all up from zero Built 100% in Claude Code. I put together the full playbook with the file structure, the wiring, and the exact setup. Want it for free? > Like this post > Comment "BRAIN" And I'll send it over (must be following so I can DM)

Mike Futia

18,174 views • 3 months ago

I’ve tested dozens of AI video tools for ecommerce ads. Most still look obviously fake. They either distort the product, break character consistency, or completely miss the pacing that makes viral content actually work. Wizstar was the first one that genuinely surprised me. I tested Wizstar’s Wizstar_official Video Reference workflow using a viral-style ad, and honestly… I wasn’t ready for how accurate it would be. It didn’t just “generate a similar video.” It recreated the entire feel of a high-performing ad — the pacing, the transitions, the camera movements, even that subtle “social-first” storytelling rhythm that usually takes real creative teams to get right. And the wild part is… it still kept the product completely stable across brand-new scenes. No distortions. No weird AI shifts. Just clean, consistent visuals from start to finish. What really impressed me is that Video Reference isn’t just copying visuals at all. It actually analyzes the structure behind viral ecommerce content — things like: - how the hook is built, - how attention is retained across cuts, - and how emotion is paced through the video. Then it rebuilds that logic into a completely new ad, optimized for product testing and fast campaign iteration. And it feels like it understands performance content. The workflow also handled synchronized audiovisual timing surprisingly well — cuts land where they should, motion matches the sound, and the storytelling flow feels intentionally designed, not randomly generated. Combined with stable product consistency and influencer-style framing, the final output honestly felt closer to a real paid social campaign than anything I’d expect from an AI tool. What surprised me is that Wizstar isn’t powered by just one model—it orchestrates multiple top-tier AI models, including Seedance 2.0, and even supports face input out of the box. If you’re curious to try it yourself, you can test it here: New users get free credits, and the first membership is only $19 — plus a complimentary 30-second E-commerce Agent experience included. #Wizstar

Doreen

153,944 views • 4 months ago

if we fuck up the ad, why should you pay? notch is the one place that doesn't charge for regenerations or edits. one price. one ad. however many tries it takes us to get it right. every "generate" is a slot pull. miss = re-roll = more credits gone. these tools don't sell you ads. they sell you chips. and the house wrote the odds. here's the math nobody runs before they load their card. a 30-second ai ad is never one generation. it's 30 to 40 pulls. → wrong face. re-roll. → hands melt. re-roll. → lip sync drifts a frame. re-roll. → b-roll doesn't match the brand. re-roll. every pull bills you. the winning clip and the garbage clip cost the exact same. you're not paying for the ad. you're paying for the misses on the way to it. the casino model (higgsfield, runway, kling, every per-credit tool): → buy credits up front → pull the lever → pay whether the clip is usable or trash → the agent loops to fix itself? your meter runs faster → you ration generations like chips at a table the finished-ad model (notch): → you direct the ad, not the generations → the agent re-rolls, iterates and fixes itself on its own dime → the misses are our cost, not your wallet → one price for the deliverable. however many pulls it took. per-credit pricing isn't pricing. it's a casino floor. the meter is the product. the ad is just the bait. you should pay for the thing you can actually run. not for the privilege of pulling the lever 40 times to find it. comment your brand below. i'll ship you 10 winning ad variations. on us. no credits. no meter. no catch. or try notch for free today.

Vinay Jain

300,164 views • 4 months ago