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I just built an AI-powered creative search engine with Gemini Embedding 2 + Claude Code 🤯 Drop in your UGC clips, product shots, and ad variations — then search through everything in plain English. "Show me all the unboxing clips." "Find product shots with natural lighting." "Which creator talked... about sensitive skin?" All inside Claude Code. Perfect for DTC brands and agencies sitting on hundreds of creative files they can never find when they actually need them. If you're digging through a folder of random file names, scrubbing through raw footage to find that one clip, and relying on memory to track down what's already been shot... This system eliminates the entire loop: → Drop your videos, images, and docs into a project folder → One prompt to Claude Code — it builds the entire search app for you → Google's new Gemini Embedding 2 model actually watches your videos and looks at your images → It understands what's inside each file — not just the file name → Search in plain English and get back the actual assets with confidence scores No scrolling through folders. No relying on file names to find anything. No re-shooting footage you already have. What you get: → A searchable library of every creative asset your brand has ever produced → Natural language search across video, images, and documents at the same time → Results that show the actual files inline — play videos, view images, read docs → A system that gets smarter every time you add richer descriptions to your assets One free API key. No monthly subscriptions. Runs on your machine. I put together a full playbook with the exact build prompt, the setup process, and DTC/agency use cases to get this running in under 30 minutes. Want the full playbook? > Like this post > Comment "SEARCH" And I'll send it over (must be following so I can DM)show more

Mike Futia

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I just vibe-coded a Meta ad research app in Claude Code 🤯 One keyword search → winning ads analyzed, creative briefs generated, trends mapped, and 10 ad variations written for your brand. All inside Claude Code. Perfect for DTC brands and agencies who are still doing competitor ad research manually inside the Meta Ad Library. If you're clicking through ads one by one, watching videos, taking notes in a Google Doc, trying to reverse-engineer what's working, and then rewriting briefs from scratch every time... This app eliminates the entire loop: → Search and filter winning Facebook ads by niche, country, language, and performance tier → Watch video ads inline without leaving the app → Fetch top-performing ads and generate a full creative brief tailored to your brand → Run a trend radar across 100+ ads to see which formats, CTAs, and landing pages are dominating your niche → Pick any winning video ad and Gemini watches it, reverse-engineers the creative DNA, and generates 10 new ad variations for your product No scrolling the Ad Library for hours. No manual note-taking. No rewriting briefs from scratch. What you get: → Creative briefs generated from real winning ads in your niche → Trend analysis with format distribution, top CTAs, landing page intel, and AI insights → 10 brand-specific ad variations from any winning video — with hooks, scripts, and Nano Banana prompts → A full app you host in Replit and customize for your team Built 100% in Claude Code with the gethookd.ai API + Gemini. I put together a free playbook with every prompt I used to build this app from scratch, so you can build it yourself. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

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Mike Futia

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Mike Futia

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Mike Futia

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Mike Futia

90,507 Aufrufe • vor 22 Tagen

I just vibe coded a static ad generator in Claude Code that creates 100+ Meta ads in minutes. All using the new, insane ChatGPT Images 2.0 model. One competitor ad + your product photo + your brand kit = dozens of on-brand variations, each targeting a different customer persona. Built 100% in Claude Code on the new ChatGPT Images 2.0. Perfect for DTC brands and agencies who need more statics at scale. Here's how it works: → Upload any competitor ad as your reference template → Add your product photos and brand kit (colors, fonts, logos) → AI generates 10 customer profiles from your brand research → Pick how many variations you want (10, 20, 30) → Tool fires every prompt to ChatGPT Images 2.0 with persona-specific copy for each one No designer back-and-forth. No Canva templates. No generic "Shop Now" on everything. What you get: → Ads that mirror winning concepts in your brand's voice → Text that actually renders correctly (the new model handles dense copy, logos, and multi-language callouts cleanly) → Copy targeted to specific customer pain points and personas → Multi-brand/client support with saved brand kits → Reusable customer profiles you build once and generate from forever I recorded a full walkthrough showing exactly how this works, including ALL the prompts I used so you can build it yourself. Want access to all the prompts for free? > Like this post > Comment "STATICS" And I'll send it over (must be following so I can DM)

Mike Futia

51,988 Aufrufe • vor 1 Monat

This is the AI ad creative workflow every agency and e-comm brand should be running right now 🤯 One AI character. Multiple products. Unlimited ad variations. All 100% consistent. If you're running paid ads and you don't have someone on your team creating these assets full-time, you're already behind. Here's what's possible now: → Create one hyper-realistic AI "creator" → Same face, same lighting, same setting → Swap in ANY product (water bottles, AirPods, gym bags, skincare) → Generate dozens of ad-ready images → Turn those images into hyper-realistic video ads → Build an entire asset library in a day No UGC creators. No product shoots. No waiting on deliverables. What you get: - Consistent character across every ad - Product shots that look professionally lit - Endless variations for testing - A full creative library without a single shoot - Realistic AI videos with consistent characters This is the new playbook for scaling ad creative. If you're an agency or e-comm brand, someone on your team should be doing this 8 hours a day. I'm sharing the exact workflow I used to create this. Want access? > Like this post > Comment "SCALE" And I'll send it over (must be following so I can DM)

Mike Futia

41,368 Aufrufe • vor 4 Monaten

i can now search my entire ad library by concept. "ugc testimonials with urgency hooks" and it just finds them. here's how i built it: searchable ad swipe file > drag in creatives > AI analyzes them > search by concept > find anything in seconds -> uses google's new multimodal embedding model. images, video, and text all searchable together. -> type "ugc testimonials with urgency hooks" and it finds them. no manual tags needed. -> every ad gets auto-analyzed by gemini on import. hook type, structure, audience, CTA. all searchable. -> dual-vector scoring. visual embedding + text embedding. takes the stronger signal. full build breakdown in video + notion guide in the comments

i can now search my entire ad library by concept. "ugc testimonials with urgency hooks" and it just finds them. here's how i built it: searchable ad swipe file > drag in creatives > AI analyzes them > search by concept > find anything in seconds -> uses google's new multimodal embedding model. images, video, and text all searchable together. -> type "ugc testimonials with urgency hooks" and it finds them. no manual tags needed. -> every ad gets auto-analyzed by gemini on import. hook type, structure, audience, CTA. all searchable. -> dual-vector scoring. visual embedding + text embedding. takes the stronger signal. full build breakdown in video + notion guide in the comments

J.B.

27,000 Aufrufe • vor 2 Monaten

We’re expanding the Gemini API File Search tool 🔍 with 3 new updates that enable developers to more easily build multimodal RAG systems with enhanced precision: + Multimodal Support: By leveraging our Gemini Embedding 2 model, File Search can now reason across image and text simultaneously. + Custom Metadata Filtering: Bring structure to unstructured data by tagging files with custom key-value labels. This pre-filters your data and boosts search speed. + Exact citations: File Search can now capture and return the exact source (down to the page number) for every piece of information indexed. See multimodal File Search in action with our example app in Google AI Studio. Chat with your entire image and doc library, ask questions, and trace answers back to the source:

We’re expanding the Gemini API File Search tool 🔍 with 3 new updates that enable developers to more easily build multimodal RAG systems with enhanced precision: + Multimodal Support: By leveraging our Gemini Embedding 2 model, File Search can now reason across image and text simultaneously. + Custom Metadata Filtering: Bring structure to unstructured data by tagging files with custom key-value labels. This pre-filters your data and boosts search speed. + Exact citations: File Search can now capture and return the exact source (down to the page number) for every piece of information indexed. See multimodal File Search in action with our example app in Google AI Studio. Chat with your entire image and doc library, ask questions, and trace answers back to the source:

Google AI Developers

108,381 Aufrufe • vor 1 Monat

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Cat Wu, head of product for Claude Code at Anthropic: "you can build almost anything with Claude from a single prompt now" one prompt gets you a working screen, not YOUR product Claude Code has never seen your design system, so it guesses the look fresh every time. how to hand Claude Code that system is in the article. better than the $300 design course in your tabs, and this one's free.

Mnimiy

112,308 Aufrufe • vor 5 Tagen

Figma Capture + Claude Fable 5 = clone any competitor's landing page in minutes 🤯 Figma just dropped a Chrome extension that copy/pastes any live website into Figma as editable layers. Point Claude Code — running the new Fable 5 model — at the capture, and it rebuilds the whole page in YOUR brand: structure, copy, design system, photography. All inside Claude Code. Perfect for DTC brands and agencies who keep losing weeks rebuilding proven landers from scratch. If you're still cloning competitor pages the old way, You're screenshotting their site and praying the AI guesses the structure right. You're rebuilding sections by hand because the fonts and spacing never come out true. You're paying a designer $3K to recreate a page that already exists. This workflow eliminates the entire loop: → Capture the competitor's landing page with Figma's new Chrome extension — editable layers, not screenshots → Claude Code reads the page structure through the Figma MCP: every section, every headline, in order → It rebuilds the page in YOUR brand — your colors, your fonts, your voice (it even respects your banned-words list) → GPT Image 2 generates on-brand product photography from the layer names → Claude places every image automatically — finished page, ready to ship No screenshots. No guessing at structure. No design invoice. What you get: → A pixel-structured clone of any proven lander, rebuilt in your brand → Every line of copy rewritten in your voice → 16 on-brand images generated and placed for ~$2 in API costs → Start to finish in about 15 minutes Built 100% with Figma + Claude Code on Claude Fable 5. I put together a step-by-step playbook showing you exactly how to set it up. Want access for free? > Like this post > Comment "CLONE" And I'll send it over (must be following so I can DM)

Mike Futia

44,311 Aufrufe • vor 6 Tagen