Max B.

@mikefutia SLIDES

I just built a branded IG carousel generator in Claude Code 🤯 One brand URL + one product name = 6 finished carousel slides. The kind an agency charges $2K to produce. All inside Claude Code. Perfect for DTC brands, agencies, and mobile app operators who need on-brand social content without briefing a designer or waiting a week for revisions. If you're building IG carousels manually — writing copy in Notion, designing in Canva, exporting slides one by one, going back and forth with your creative team for days... This tool eliminates the entire loop: → Drop in a brand URL and product name → Claude scrapes the site and extracts colors, fonts, voice, and positioning → Generates 6 slide concepts across proven carousel frameworks → Writes a detailed image prompt for each slide → Fires all 6 to ChatGPT Images 2.0 via FAL in parallel → Downloads finished slides + opens an HTML gallery No Canva. No designer back-and-forth. No generic AI slop. What you get: -> Finished 1080x1350px slides ready to post directly to Instagram -> Wavy color-blocked backgrounds, bold typography, product hero — all baked into the image -> Brand-accurate colors and copy pulled from the live site automatically -> A reusable pipeline — new brand, new folder, same 3-minute workflow Built 100% in Claude Code. I put together the full step-by-step playbook so you can build this yourself. Want it for free? > Like this post > Comment "SLIDES" And I'll send it over (must be following so I can DM)

@AlessandroLavis breathekit

this histrips ad is a perfect example of why ai animation works for nasal strips “opens your blocked nose” is a boring claim until you turn the blockage into a villain collapsed airway pressure buildup mouth breathing bad sleep morning fatigue now the problem is visual the viewer doesn’t need a doctor explaining airflow for 40 seconds they see the nose being blocked they feel the discomfort then the strip becomes the obvious solution one hidden issue turned into a simple story people instantly get i put together the best ai breathing/nasal ad examples + prompt structure rt + comment "breathekit" and i’ll send it (follow for dm)

@mikefutia CLAY

These AI claymation ads are crushing it on Meta right now 🤯 Images, videos, voiceover, music, captions: all made entirely with AI. Perfect for DTC brands and agencies who want ad creative that actually stands out in the Meta feed instead of blending in with every other UGC talking head and static image. If you're running the same creative formats as everyone else — UGC, statics, carousels — and wondering why engagement keeps dropping and CPMs keep climbing... Animated ads break the entire pattern: → They look like nothing else in the feed, so they stop the scroll → They work as paid ads on Meta AND organic content on TikTok, Reels, and Shorts → You can produce them in-house without hiring freelancers or booking a studio → One workflow covers claymation, Pixar, anime, Wes Anderson miniature, retro cartoon, synthwave, and hyperrealistic CGI The workflow uses Claude for all the creative assets, Nano Banana Pro for image generation, Kling 3.0 for animation, Gemini to rewrite the voiceover to match the footage, ElevenLabs for voice, Suno for music, and CapCut for the final edit. Eight steps, one finished ad. I'm giving away every single prompt I used to create this video for free. Want all the prompts? > Like this post > Comment "CLAY" And I'll send them over (must be following so I can DM)

@13Mynk 2

Just dropped this 3-panel collage video each one is its own complete Pixar-level AI ad, created independently. Here’s the real value for you: Most AI ads feel robotic and forgettable. These Pixar-style ones stop the scroll because they make people feel something in seconds… then the product sells itself. I’ve used this exact approach for clients and seen watch time jump, shares explode, and conversions follow. Which of the 3 hits you hardest? retweet + comment 1, 2 or 3 "I will personally dm you the workflow" Drop your thoughts below let’s talk ads that actually sell. #AIAds #PixarStyle #VideoAdsThatSell #StandaloneAds #ecom

@johnvirality SLIDES

@mikefutia @alexgoughcooper CHAT

Claude Code + ChatGPT Images 2.0 is f*cking cracked 🤯 I rebuilt my static ad system inside Claude Code on the new ChatGPT Images 2.0 model. One brand name + one URL = 40 production-ready static ads. All inside Claude Code. I took @alexgoughcooper's brilliant framework and automated the whole thing, now running on ChatGPT Images 2.0. Perfect for DTC brands and agencies who need high-volume ad creative without briefing a designer or spending hours in Canva. If you're running static ads on Meta and your current image model keeps butchering your copy — garbled headlines, broken logos, wrong fonts, unusable text overlays every third generation... This system fixes the entire pipeline: → Give Claude a brand name and URL → It researches the brand's fonts, colors, packaging, and photography style → Builds a Brand DNA document from scratch → Fills in Alex's 40 proven ad templates (headline, us vs them, testimonial, UGC, review cards, stat callouts) with brand-specific details → Fires every prompt to ChatGPT Images 2.0 with your product photos as reference → Downloads finished ads into organized folders with an HTML gallery No manual prompt filling. No Canva templates. No copy-pasting between tools. What you get: → 40 ad formats filled with your exact brand colors, fonts, and copy → Text that actually renders correctly — dense copy, logos, and multi-language callouts handled cleanly → Product photos passed as reference so the model matches your real packaging → A reusable system — new brand, new folder, same pipeline Built 100% in Claude Code with ChatGPT Images 2.0. I put together a full DIY playbook showing the exact architecture so you can build this yourself. Want it for free? > Like this post > Comment "CHAT" And I'll send it over (must be following so I can DM)

The person that invents the app or extension that blocks people who do the whole, "like & RT for my thing I say is valuable but is not really valuable or I wouldn't be giving away for free to stranger on the internet for a like" can have all my money.

watched 5 AI builders pitch last week and noticed the same pattern every time. their dashboards surfaced data while their pattern recognition stayed in their head. their agents organized tasks while their judgment stayed in their head. the expertise was the missing feature.

i keep watching people build first, then try to find demand. and i get it. building got cheap enough to do without thinking. plus it's fun. but if no one wants it, all you built was expensive evidence of poor planning.

stop scrolling. stop reading this. start building something awesome.

people in industries like construction do not want another tool. they tolerate one CRM and won't learn another unless the pain is unbearable. the better AI strategy is usually to layer on top of where they already work. meet them in the stack they already tolerate.

most AI dashboards being built right now are just places to put data. easy test. open one for 10 seconds. can you see what's winning, what's losing, and what to do next? if not, you made the data visible. you didn't make the answer visible.

i keep watching people aim products at the customer they wish they had. usually the real buyer is a younger version of who they used to be. newer. drowning in setup. willing to pay to skip the pain you already survived.

building anything is cheap now. choosing WHAT to build is the hard part. so much AI content is teaching execution to people whose actual problem is discernment. the willingness to look at a buildable idea and say, not this one. not yet. build less. choose better.

"just focus on one thing" is usually true and usually useless. best operational version i heard this week. map the top five ways your business goes bankrupt in six months. then build against the most threatening one first.

two people showed almost the same personal dashboard. one built it for himself, shipped it, and uses it daily. the other kept rebuilding because she was secretly auditioning it for a market she hadn't validated. same product. totally different relationship to the work.

watched a marketer pitch a polished Meta ads dashboard. tons of options. clean UI. but 15 years of pattern recognition was still trapped in his head. the dashboard surfaced data. none of his expertise made it into the product. he was selling the commodity version of himself.

bad strategy used to die during the build. you'd code the wrong thing, hit a wall, run out of money or motivation, and drop it. that build phase was the filter. now bad strategy survives long enough to ship and dies at the demand phase. way more expensive.