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Sora 2 + VEO 3.1 + MakeUGC = $69,751/month No creators. No shoots. No DMs. Just AI → ads → revenue. Real creators aren’t being augmented anymore —they’re being replaced. Last 30 days, this setup generated $69,751 in total sales using nothing but AI-generated creators running on autopilot. No filming. No influencer outreach. No human talent. Just a single AI pipeline feeding Meta ads at scale. The stack: Sora 2 + VEO 3.1 → MakeUGC Agent → Facebook & Instagram Here’s what the dashboard shows: - Total sales: $69,751 - Order revenue: $54,214 - Ad spend: $19,008 - ROAS: 3.73 All from AI-generated UGC videos. What the AI creators produced: - Face-to-camera testimonials - Product demos & lifestyle shots - POV hooks, reactions, and native ad formats - On-hand visuals, packaging shots, voiceovers - Auto-written hooks, captions, and CTAs Each “creator” is virtual. Each video is unique. Each variation is tested automatically. How the system works (Sora 2 + VEO 3.1 + MakeUGC): - Spin up dozens of AI creators in different looks, vibes, and niches - One prompt → scripts, storyboards, and shot lists - Product placement baked directly into the video - Batch hundreds of short-form ads weekly - Auto-publish to IG & FB Winning ads get cloned, remixed, and scaled automatically This isn’t a viral fluke. It’s a machine. Same workflow brands are using to quietly scale to $50K–$100K/month without creators, agencies, or production teams. I documented the full setup: - Tools - Prompts - Video formats - Ad structure - Scaling loops Want the exact stack? Comment “AI” and I’ll DM it to you.

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Google pushed modeled conversions even harder in Q1 2026. Search Terms reports are now 30 to 40% estimated data. Meta CAPI signal quality dropped to 68% across the accounts I audited last quarter. Most operators are making decisions on data that's lying to them. They just don't know which 30% is fiction. I watched a senior media buyer spend 5 hours last week pulling reports across Google Ads, Meta, and GA4 into one spreadsheet. Copy-pasting. Sorting. Guessing what's real. 5 hours. Every Monday. On modeled data. I ran the same accounts through my Claude system. Audit. Triage. Signal check. Done. 13 minutes. Zero guesswork. It found $11,400 in misattributed CAC the operator missed completely. 2,000+ search terms triaged in 60 seconds. Two Meta ad sets bidding against each other across 4 campaigns. → /conversion-audit on the real spend data → /search-term-triage with intent scoring → /signal-audit cross-checking GA4 + Meta + CRM → Anomaly flags ranked by dollar impact → A memory that learns from your corrections every week The operator went from 5 hours to 13 minutes per Monday. False positive rate dropped from 70% to near zero. I built this on real accounts. Real client money. Real spend. Now I'm showing you how to wire the same system. Thursday May 7. 12 PM ET. Live. Free. 90 min. Three Claude Code systems running on a real $140k/mo account. Live, blind, no rehearsal. 900+ operators already run pieces of this stack. 287 live seats registered. Comment "CLAUDE" and I'll DM you the workshop link.

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