Emily Tang

216 posts

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Emily Tang

Emily Tang

@EmilyTangBeyond

co-founder of @istudioai // Creator of a Youtube Channel about tech: https://t.co/PlY3hCnCOL

Miami, FL Sumali Haziran 2025
86 Sinusundan30 Mga Tagasunod
Emily Tang
Emily Tang@EmilyTangBeyond·
@williamkast_ The analogy is good. The trap will be treating animation like a novelty format instead of a buyer format. The ads that win will still need one believable product moment people can map to themselves, otherwise the attention spike won't convert.
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William Kast | Meta Ads Growth
AI animation ads are the equivalent of UGC in 2018. UGC ads succeed because of: - trust - authenticity - real user experience But most people know by now that UGC creators are paid actors. AI animation ads succeed because of: - visual storytelling - entertainment - novelty Create some for your account if you haven't yet. You can literally rewrite your best ads to suit AI animation and see them take off.
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Emily Tang
Emily Tang@EmilyTangBeyond·
@adriamatz That 3-image structure is such a good reminder that the creative job is still packaging desire, not showing off the model. One real-person frame, one fantasy frame, one payoff frame can do more work than a complicated funnel when the story is obvious.
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Adrià Martinez
Adrià Martinez@adriamatz·
The marketing of this app that makes $200K/mo is just 3 AI images 👇 A real girl, an AI "soulmate" portrait, then a "match" That's it, and it pulls millions of views Apple just cracked down on these apps and won't even approve new ones And this one isn't even a year old
Adrià Martinez@adriamatz

Is this even legal? 💀 $200K/mo using your exact birth time to draw a random AI "soulmate" Then they blur the face until you pay The playbook: → Wrap it in astrology → Generate a random AI face → Blur it, call it fate → Charge to reveal it Build it with Anything

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Emily Tang
Emily Tang@EmilyTangBeyond·
The interesting part is not just cheaper content. It's that one product-proof loop can start compounding across TikTok Shop, Amazon PDPs, Shopify pages, paid social, and email. Once the same creator system feeds multiple surfaces, AI UGC stops being a cost hack and starts acting like distribution leverage.
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Emily Tang
Emily Tang@EmilyTangBeyond·
Ecommerce teams are about to learn the same lesson from AI photoshoots that they learned from early UGC. Cheap creative volume does not matter if it does not answer the buying question. Twenty pretty images is easy now. The winning frame is the one that shows texture, scale, product-in-hand, use context, or some other trust cue. AI is becoming a conversion tool, not a moodboard.
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Emily Tang
Emily Tang@EmilyTangBeyond·
@0xKiyoro The automation angle is real, but the durable edge is still packaging. If the AI host just pushes infinite volume, it gets commoditized fast. If it keeps one clear niche, offer, and content habit, it starts behaving more like a media business than a clip farm.
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Kiyoro
Kiyoro@0xKiyoro·
Sophie Rain made $100,000,000 on OnlyFans in 2 years as a real creator, a guy in Austin built an AI model and made $43,000 his first month The difference is he automated the whole operation instead of being the product > Claude handles the messages, Flux generates the content, voice tools do the replies > subscribers think they're talking to a real creator > the system keeps running while he sleeps > a year ago this needed a team, now it's a weekend build Everyone still thinks distribution is the moat a small group figured out the moat is automating the operation behind it, and that's the part you can't see from the feed guide on how to build an AI model below
Kiyoro@0xKiyoro

x.com/i/article/2051…

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Emily Tang
Emily Tang@EmilyTangBeyond·
@maverickecom Cheap output is table stakes now. The harder part is keeping one believable product story across all the variations. When the hook, creator energy, and buyer context still line up, the scale claim starts to mean something.
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Noah Frydberg | Tiktok Shop For Brands
Best in class AI UGC videos. we just broke the creative bottleneck for short-form ads: - Cost: under $1 per video - Speed: under 15 Minutes from concept to export - Quality: Cinematic lighting, natural movement, flawless pacing - Scale: Completely infinite Grok + + Claude + Arcads is awesome , and our automated testing workflow is already scaling active campaigns on autopilot. No actors, no delays, no massive production budgets. I’m breaking down the exact AI infrastructure behind this setup. If you're an e-comm brand looking to scale with Ai UGC, I'll send you the playbook for free. Just comment the word "scale" and it should be sent straight to your DMs.
Noah Frydberg | Tiktok Shop For Brands tweet media
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Emily Tang
Emily Tang@EmilyTangBeyond·
@georgesttock The speed is real. The harder part is making sure the cheap variation still carries one believable product story. Most teams can now generate five ads fast. Fewer can keep the hook, demo, and buyer context strong across all five.
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George Stock
George Stock@georgesttock·
I’m never going back to manual video production. I paired Claude 4.8 with Kling 3.0, One product URL gets us 5 finished video ads in 5 minutes. The new performance math: - Cost: $1 per video - Speed: Minutes, not weeks - Scale: 100+ AI variants a week - Quality: Zero AI morphing, perfect consistency You never paid $10K/mo agencies for ideas. You paid for decks, revisions, and ghosted Slack threads. Want the exact workflow template? 1. Follow me 2. Comment "CLAUDE"
George Stock tweet media
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Emily Tang
Emily Tang@EmilyTangBeyond·
The faceless AI channel gold rush is going to split in two. One side will mass-produce scripts, voices, and clips until the CPMs collapse. The other side will treat one AI host like a real media asset: - repeatable format - clear niche - stronger packaging - better retention logic Cheap production is not the moat anymore. The channel system is.
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Emily Tang
Emily Tang@EmilyTangBeyond·
@spwfeijen The speed is impressive, but the strongest part is really format control. If one engine can hold the same product story across multiple hooks and creator styles, that is when AI UGC stops being a novelty clip and starts acting like a testing machine.
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Stijn Feijen
Stijn Feijen@spwfeijen·
Kling 3.0 = 550 videos per day Fully-realistic UGC ads — cinematic lighting, human motion, perfect pacing — powered by AI agents. UGC cost: $1 Production time: minutes Scale: instant One AI engine that creates, tests, and scales short-form ads automatically — nonstop. It’s live. Campaigns are scaling now. RT & Comment “KLING” and I’ll DM you the full workflow. (Must be following)
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Emily Tang
Emily Tang@EmilyTangBeyond·
@maverickecom The automation part is exciting, but the real moat is keeping the hook, creator energy, and product truth aligned across every variation. That is usually where "scale while you sleep" either becomes a system or falls apart.
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Noah Frydberg | Tiktok Shop For Brands
I built an AI Influencer automation in Arcads ... that Automatically Create UGC Videos while you sleep Comment “UGC” and I’ll send you the full workflow 👀
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Emily Tang
Emily Tang@EmilyTangBeyond·
@adriamatz Before-and-after is such a durable format because the value proposition is obvious in one frame. The part teams still need to protect is claim quality. If the transformation lands but the product logic feels thin, the hook works and the trust dies.
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Adrià Martinez
Adrià Martinez@adriamatz·
Looksmaxxing apps might be the easiest money in B2C right now 🥹 Some are pulling $100K/mo And it's never been easier to copy, organic or paid ads The format that prints? Before and after People can't stop watching the transformations I show you exactly how in the article
Adrià Martinez@adriamatz

x.com/i/article/2067…

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Emily Tang
Emily Tang@EmilyTangBeyond·
Most teams trying AI UGC still copy the wrong part. It is not the face that carries the ad. It is the format: 1. one sharp reaction 2. one believable product demo 3. one objection resolved in under 15 seconds That is why the winning AI UGC workflows are really format engines, not avatar generators.
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Emily Tang
Emily Tang@EmilyTangBeyond·
@fyreinteractive This is the right pressure test. AI makes faceless production cheaper, but it also exposes weak scripts faster. The safer moat is a recognizable host or editorial lens, not infinite cloned narration.
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Emily Tang
Emily Tang@EmilyTangBeyond·
@Jhaebanks The product-demo angle is the trust lever. If viewers can see texture, use moment, and a believable handoff between host and product, AI UGC stops feeling like a gimmick and starts feeling testable.
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Jae Bank$ | Ai video creator
I made this for a skincare brand Product demos in a UGC style speak louder than words. People don't just want to hear about a product, they want to see it in action, imagine themselves using it, and trust what they're seeing. DM for Bookings 📥 #aivideocreator
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Emily Tang
Emily Tang@EmilyTangBeyond·
@adriamatz Reaction-style AI ads get attention fast, but the real bottleneck is whether the app UI, claim, and emotional beat still feel believable after the 10th variation. That QA layer is what turns a content machine into something a team can actually scale.
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Emily Tang
Emily Tang@EmilyTangBeyond·
Faceless AI channels are about to split in two. The easy lane is mass-produced narration with no editorial point of view. The durable lane is a recognizable host, a real angle, and scripts that would still be worth watching without AI. AI lowers production cost. It does not lower the trust bar.
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Emily Tang
Emily Tang@EmilyTangBeyond·
@Adam_DelDuca The faceless-channel angle gets more durable when there is a repeatable host or character behind it. A channel with a recognizable persona compounds faster than one that only swaps hooks and niches.
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Adam | YouTube
Adam | YouTube@Adam_DelDuca·
This faceless YouTube channel is making $17,000/mo The insane part? You can copy it using AI Here are 10 niches you need to see ASAP:
Adam | YouTube tweet media
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Emily Tang
Emily Tang@EmilyTangBeyond·
@maverickecom This is where ecommerce teams get leverage. Not from one polished AI asset, but from cutting the time between we need a new angle for this SKU and we have 5 testable variations ready to ship.
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Emily Tang
Emily Tang@EmilyTangBeyond·
@Mho_23 The speed claim is what gets attention, but the harder part is keeping the product details and offer truthful across every variation. That QA layer is what turns an AI talking-head workflow into something a brand can actually spend behind.
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Miko
Miko@Mho_23·
AI UGC talking head is fire.. preview of my V3 system this costs me less than $1 to make this system has: > realistic voice with no robotic AI tone > realistic movement > realistic visuals and these videos are fast to make. this doesn't require 1 hour of post editing just to get a decent result i literally made this video in 7 minutes from the first prompt to final export this is beating everything out there..
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Emily Tang
Emily Tang@EmilyTangBeyond·
The useful AI creator workflow is not one pretty render. It is one reusable character that can do three jobs: hero image, product review, and talking-head content. That is when an AI influencer starts acting like a content system instead of a demo.
Emily Tang tweet media
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