after generating $10M+ for clients' service based businesses with meta ads funnels...
i've realized that the #1 thing that kills scaling attempts isn't:
> the targeting
> the offer
> the media buyer
it's not testing ENOUGH ad formats
so i built an entire AI production engine that maps every Meta ad format to a specific prompt architecture (with opus 4.8), a specific visual model (inside Higgsfield MCP), and a specific funnel stage (inside the meta ads API)
here's everything that this system includes:
> the Higgsfield MCP setup
(the exact JSON config block, the file paths for mac and windows, and the one-line command to confirm it's actually connected before you generate a thing)
> the format assignment protocol
(one prompt that tags every brief across 4 points: awareness stage, placement, format family, angle, then routes it to the right format before a word of copy gets written)
> 10 format prompts, one per ad type
(founder selfie, talking head, B-roll w/ voiceover, split-screen, green screen, UGC, data viz, story-native, carousel, AI creative, each with its own word count, structure, and pacing rules baked in)
> the paired visual prompts for every format
(what to feed chatgpt images 2.0 for statics, what to feed seedance 2.0 for motion, exact dimensions per placement, all passed in through the MCP so you never leave Claude)
> which model runs which layer
(opus 4.8 for the script and reasoning, chatgpt images 2.0 for statics, seedance 2.0 for anything that moves, and what breaks when you mix them up)
> the 3-format testing matrix
(how we test every new angle across 3 formats and the exact CTR threshold at 200-300 impressions that decides what scales and what gets cut)
like + comment "FORMATS" and i'll send it over
(must be following + RT for priority access)
after printing $800,000+ and MILLIONS of views with AI UGC…
i’m giving away EVERYTHING i know on how I create VIRAL videos with KLING 3.0
like + comment “KLING” and i'll send you a 20k+ word guide about it
(must be following + RT for priority access)