jev is INSANE. in 40 seconds it broke down 724 live ads from 37 brands. every hook. every format. offer. cta. awareness stage. landing page mismatch. used 9 cents of tokens. (will be avail in @stealads + mcp)

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jev has made the impossible POSSIBLE. so this morning my real estate buddy asked me how to break out on instagram. I could: - ask her to scroll. - find her favorite creators - map out each hook - figure out what makes them work. - rework it in her voice - rinse & repeat every single week. Or i could have jev go through a library of 12 million shorts and do it for her.

we cut cost per lead from $128 to $56 for a B2B saas in 30 days. we just piped 238 demo call transcripts into claude: 1/ pulled hundreds of hours of raw sales recordings. → found the exact raw visceral words that buyers used to describe their current nightmare. → what their dream scenario actually looked like. 2/ took those phrases and locked them down to 8 core pain points. → ranked by emotional intensity + purchase correlation. → mapped them to what the product does best when deals close 3/ plugged the language straight into our ad creative + landing pages. → Next.js edge middleware personalizes landing page headlines to incoming angles. → launched batches of 4 to 5 fresh ad formats for each pain point every week (ie podcast, talking heads, static us vs them cards). you don't want a jr copywriter imagining how to talk to your buyers. they're telling you already. you just have to pipe it into your stack.

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paying a 100k follower creator for UGC is the fastest way to burn your creative budget. when you look at high growth DTC brands scaling 7 figure Meta ad spend in 2026: → they dont hire influencer agencies to manage manual DM outreach. → they dont send generic product briefs that produce stiff unboxing videos. → they run an autonomous loop that sources micro-outliers and briefs them with raw customer language. the closed loop is dead simple: - @ScrapeCreators sweeps 150 niche creators. - median math filters for 2x engagement lift on talking head content. - Fable 5.1 pulls Tier 1 pain phrases from your messaging hierarchy db and puts together custom briefs. - automated outreach emails deploy with Instantly. - Meta API tracks ROAS and thumb stop rate (make a custom column). - lock winning creators into retainers + you train next script batch on their visual pacing. stop paying for follower distribution. build an autonomous pipeline that sources creator talent and engineers winning ad assets.

alex hormozi said to get new customers "the first thing im going to do is make more creative" more angles. more hooks. formats. offers. a bigger creative pool gives you higher chance of making ads that work. one person can now make 30 ecomm ads every hour from just one product pic. i tested over 100 pieces of creative across 3 different image models. get the prompts. give it to your agent. rinse and repeat.

check out @dsqjaffa article on content marketing agents with @virlomain i get a kick out of seeing my face show up in my timeline (that's me showing the 11 million views for this YT account we launched). data informs your content strategy. it makes no sense to start with a blank page. find out what's working in your niche. how people talk, the kinds of videos they shoot, formats, length, structure. the mechanisms. then you need a novel belief or angle. telling someone for the 100th time what they already know isn't going to cut. for a creative strategist this is the hardest part. map your content around that. shoot. do this again. and again. and again. just when you feel like nothing's working... it works. and you're off to the races.

how to turn winning ad hooks into matched landing pages in 5 minutes: 1/ map every live ad to its destination path. → pull active ads, URLs, and UTMs via Meta Ads API into a single click path matrix. → tag where traffic lands: PDP, collection, homepage, or dedicated LP. → flag mismatches: ad hook vs H1 headline, ad offer vs on-page offer, ad video vs hero visual. → rank conversion leaks: Total Spend × First Screen Bounce × Purchase Dropoff. 2/ lock the first screen to the ad. → exact hook phrase in the H1 headline. → exact offer wording (zero generic "great value" filler). → hero visual matches the opening ad frame. → CTA matches the exact promise the ad made. screenshot the ad and the first screen side by side. they must read like the same sentence continued. 3/ spin up dedicated Next.js or Shopify sections in a Claude loop. → pull 90-day active competitor landers from Meta Ad Library. → extract modular sections: hero, proof stack, offer block. → wire in your customer pain database and the ad's exact hook. → publish one unique URL per test. zero waiting on designers. 4/ stitch the click to the actual order via PostHog MCP. → tag every session: ad_id, adset_id, campaign_id, hook_id, and page_variant_id. → track bounce, scroll depth, time to first interaction, ATC, and field errors. → never treat Meta's 7-day attribution window as the only truth. 5/ diagnose dropoff with screen replays. → watch 15 replays of bounces from that exact ad ID. → isolate where intent dies: line 2 fails to cash the promise, mobile hero lag (>1s delay cuts CVR ~7%), or hidden shipping. → deploy 3 automated patches to that exact dropoff node. 6/ test the pair without resetting Meta learning. → NEVER swap destination URLs on a live winning ad (resets Meta's machine learning). → test at the ad set level: one URL per ad set. → run control pair (current winner + current page) against challenger pair (same angle + matched page). 7/ run ruthless triage rules to kill, patch, or scale. → high CTR + high bounce = message mismatch or bad offer. → high CTR + good scroll + weak ATC = offer or proof placement failure. → good ATC + weak purchase = checkout, shipping, or trust friction. → mobile load > 3.0s: fix performance before testing copy. → dead after 2–3x target CPA = kill the pair. → challenger wins = route 80% of spend to the winning URL. 8/ close the loop back into top of funnel. → winning first-screen headlines become next week's Meta ad hooks. → losing phrases get purged from your messaging hierarchy. → fatigue agent watches pair level decay (not just ad CTR decay) . stop paying Meta to send high intent clicks to pages that can't close.

call me crazy but one person with a good swipe file should be able to crank out an entire campaign. i spent the week pushing gpt image 2.5 to see how close we are. ads. product shots. thumbnails. entire pitch decks. paste the article into your ai. give it your product pics + what you sell.

gpt image 2.5 JUST dropped. i spent the week running it on workflows that actually ship and make money. here’s what i learned.