Moon Shooter πŸš€πŸŒ™πŸŒ• (@shootinmoons) header
Moon Shooter πŸš€πŸŒ™πŸŒ• (@shootinmoons) profile picture
Joined March 2020
Photo by Moon Shooter πŸš€πŸŒ™πŸŒ• (@shootinmoons)Photo by Moon Shooter πŸš€πŸŒ™πŸŒ• (@shootinmoons)Photo by Moon Shooter πŸš€πŸŒ™πŸŒ• (@shootinmoons)Photo by Moon Shooter πŸš€πŸŒ™πŸŒ• (@shootinmoons)Photo by Moon Shooter πŸš€πŸŒ™πŸŒ• (@shootinmoons)Photo by Moon Shooter πŸš€πŸŒ™πŸŒ• (@shootinmoons)Photo by Moon Shooter πŸš€πŸŒ™πŸŒ• (@shootinmoons)Photo by Moon Shooter πŸš€πŸŒ™πŸŒ• (@shootinmoons)Photo by Moon Shooter πŸš€πŸŒ™πŸŒ• (@shootinmoons)
Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
Nothing is stopping u from selling the exact same $45/mo robot to 40 dentists in 40 different states for $5,000 each That is $200,000 upfront + $60,000/mo in recurring cash from ONE $650 build They will never meet each other & every single one of them will thank u for it: 99% of guys trying to make money w/ AI stay broke bc they act like a custom software shop On Monday they pitch a barber, on Wednesday they pitch an e-commerce store, & on Friday they pitch a realtor. Even if they close all 3, they have to build 3 completely different systems from scratch Once u deploy a working Voice AI & appointment system for ONE cosmetic dentist (or one roofer, one med spa, or one hail dent shop), u can stamp that exact same file onto every dentist in the country If u just own 1% of one boring niche, ur doing a million a year Look at the actual numbers on cloning 1 build across 40 states: - What each clinic pays u: $5,000 upfront + $1,500/mo - What u pay an engineer to build Clinic #1: $650 once + $45/mo in phone tokens - What u pay that same engineer to copy-paste the template onto Clinics #2 through #40: ~$100 per clinic (all he changes is the clinic's phone number, hours & calendar link) - 40 clinics on the exact same robot = $200,000 in upfront wires + $60,000/mo recurring (One guy in our circle does $100,000/mo selling the exact same AI setup exclusively to streetlight lamp cleaning contractors across America bc zero people compete w/ him) Here is the 5-step playbook to build once & sell it 40 times: 1. Pick 1 High-Ticket Local Niche Where Clinics Don't Compete Across Cities A dentist in Dallas does not care if a dentist in Phoenix has the exact same AI receptionist. Pick a niche where 1 missed phone call costs the owner $1,000+: dental implants, med spas, hair transplant clinics, HVAC, roofing, or vet clinics 2. Close Clinic #1 Locally to Get Ur Master Template Pull 100 local owners off Apollo ($50) & call during the 12:15pm lunch rush when their front desk is overwhelmed Pitch the flat result: "We'll catch 15 missed patient calls a week & book them straight into ur chair in the next 30 days, or u get ur money back" Let the doctor call the live voice AI demo from his own cell in Minute 3. Charge $3,000 to $5,000 & have a dev build Template #1 for $650 3. Screenshot the First 14 Days of Booked Appointments After the AI runs for 2 weeks, screenshot the call log showing 18 missed lunch & after-hours calls converted into $22,000 of booked dental work 4. Export 1,000 Clinics in 40 States Off Apollo Filter for clinics w/ 2 to 10 doctors (big enough to miss 10 calls a day, small enough that the owner makes the decision in 15 minutes) 5. Run the "1 Clinic Per City" Exclusivity Script Call the top clinic in Austin, then Tampa, then Charlotte & say this word for word: "Dr. [Name], we just installed a 24/7 voice AI for an implant clinic in Dallas that booked $22,000 in missed after-hours calls in 14 days. We only license the system to 1 clinic per city so ur local competitors can't touch it. Dial this number for 30 seconds before I call the clinic down the street" We hand u the pre-built niche templates, the live phone demos & my dev team who clones every deal u close inside AI Frontrunners --- > timchao. ai (link in bio)
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
He made $850M and dropped a brutal sales masterclass! I interviewed Shawn Meaike in Miami, and I asked him where billionaires and the wealthiest people put their money and what they do differently from everyone else. He said he’s the best salesman I’ll ever meet, so he gave me a sales masterclass on how to sell anything to anyone!
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
When Matt Ryder joined Seventh Level, it was doing $20k a month… The first thing he did was break down every sales training program on the market to find the gap nobody was filling. He did the same thing with every dialer before building Dialer.io. Most dialers pitch features to setters. Matt pitched one thing to the business owner: talk to more of your leads. He explains how he finds the gap and positions into it in this clip πŸ‘‡
Matt started Dialer.io 19 months ago out of pure frustration. He had setters doing 12,500 dials in a week and speaking to 50 people. Last month we did $670K. I came in as a partner a quarter into it, so we walked through the whole thing. β†’ How he got the biggest accounts in the industry before we ever ran an ad. β†’ Why almost nobody in our space makes it from services to software. β†’ And then the stuff we see from the inside across hundreds of sales teams. For ex. setters working three hours a day, businesses being run by their setters, and the few companies that actually do outbound well. Check out the Full Episode πŸ‘‡ 00:00 From Rage to $670K/Month 05:36 Why He Ran a Call Center First 08:51 The Matt Ryder Method of Bisdev 14:32 Landing Industry Giants Early 21:26 Moving From Info to SaaS 25:41 Hiring a Dev Team Without a CTO 32:53 SaaS Sales: One Call, Relentless Follow-Up 39:23 Winning Enterprise Deals 42:52 Follow-Up Until It Turns to Respect 47:28 The Worst Things Sales Teams Do 56:44 TCPA Traps and Compliance Nightmares 1:09:44 Who Does Outbound Best? 1:26:26 Sales Comp That Attracts Top Talent 1:34:56 How the Dialer Algorithm Works 1:51:22 Dialer’s Growth and Exit Plan 1:58:23 How F the Gurus Hit $100K/Month
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
If you want $1M/month & 13 years of marketing advice in 58 minutes, watch this: Timestamps: 0:00 Intro 1:05 1 - The offer must beat the sales team 2:29 2 - Your sales team decides your funnel 3:37 3 - The educator sales role 4:08 Back end selling systems 8:03 The dart system 13:28 Educating faster 19:17 Organic and paid together 23:18 Hammer them strategy 26:43 Where the offer gets presented 29:04 Presenting your unique mechanism 34:02 The baby sleep story 35:13 Selling your mechanism before the call 38:11 Beliefs and the propaganda machine 41:34 Presenting beliefs after conversion 42:40 Why this is mandatory now 44:28 Jeremy AI and the inner circle 46:02 Vibe coding is precision engineering 48:54 AI engineers and AI workflows 52:02 Staying on top of AI 54:09 AI clones 57:01 Recap 58:21 Outro Disclaimer: This content is for educational purposes only. No income is guaranteed. Million-dollar months are not typical and should not be expected. We don’t promise results. Always do your own due diligence.
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
$10M ARR is the FU MONEY of SaaS. At $10M ARR bootstrapped, you and your co-founder clear $1M+/year in salary and dividends easily. You can sell instantly for $30-40M. There are hundreds of EBITDA buyers at this level vs. a handful at $1B valuations. From here, you can do whatever you want. Hire a CEO and work 1 hour/week. Grind 100 hours if that's your thing. Raise $50M from a position of strength. Scale to $25M ARR with 25 people and pay yourself $10-15M/year. Most companies never get here because VCs show up early with decacorn dreams and money you don't need. That capital interferes with the one thing that makes you great: product-market fit. Bootstrapping to $10M ARR is easier and less risky than creating a VC-backed unicorn, with a far higher probability-weighted outcome. If you can find PMF and use customer money to get to $10M, you can do anything you want with your life.
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
"You need to get a f*ckload richer. You're not even worth a f*cking tree" Jeremy Haynes: went from making $1,200 a month at Costco to helping create 50+ millionaires and building his own 8+ figure business. I just sat down with him for almost 2 hours and honestly this is a MINDSET MASTERCLASS Full Pod Here: trakyo.link/jeremy-teaser-tw…
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
here’s a short grok bot guide on how i create high quality bots and manage my team. ask @bot to read this post and help you improve your team! β€’ add dr eggbot to your team! he’s my bot designer that i use to create bots β€’ you don’t need a lot of bots. a few good bots can be more useful and easier to manage than a large team β€’ tell your bots to create skills for itself as you give it instructions on how to do tasks. this lets them do them more consistently even over long conversations. you can even ask it to create a private github repo for you to store all your skills if you want them preserved independently β€’ add connectors, use the vault, and give access to all the tools you use to do your work. you can also ask your bot to setup its own email and it can sign up for its own accounts for better separation β€’ thinking about all the work you do by hand, or steps in your workflows where you have to copy and paste information back to your bot. ask your bot how it can do that for you instead! β€’ imagine you hired an intern, how would you onboard them and help them do the work correctly and efficiently? introduce yourself to your bot and describe the work you do, then ask it how it can help you automate it and my favorite tip: use voice mode or the transcription option! it’s a good way to just brain dump a lot of information. then, at the end, tell your bot to β€œrestate this in your own words” so you can confirm it understood you x.ai/bot/_jOdbfkB16zxu7MRcmR…
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
Sending it over to your Grok Bot now. It'll be waiting for you there.
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
You going to thank me for this! Read below. My Amazon Bot: x.ai/bot/jiLOi4VlqjpSaqa1rWV… My wife does way too many Amazon orders, and tons of returns as well. Can’t stop it, can only hope to contain it gentlemen. It’s annoying and fascinating, but I’m done questioning that. All that matters to me and most men is that refunds are processed appropriately and that’s hard for a woman raising kids and holding down a home. Solution: Get a separate Gmail just for Amazon orders and then use the Grok Bot agent I added here to sweep all returns and refunds, as well as handle returns. That’s what I’ve done. It’s a game changer.
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
Grok Bot could be the operating layer AI agents have been missing. It can use tools, run routines and coordinate other agents with minimal supervision. In this article, I show you how.
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
SpaceXAI dropped a 2-page PDF on the best GrokBot use cases call me crazy but i'll keep saying this - read it and you'll use GrokBot better than 95% of people what the bot is which use cases actually work today how to deploy it without burning trust step 1 - every working use case has one shape read, check, apply a rule, write a draft if your task fits, the bot takes it step 2 - five checks before handoff repeatable, cross-system, rule-based, draft-first, cheap to get wrong fails one? add a gate or wait step 3 - start with sales 36 LinkedIn drafts queued overnight, zero sent without review no team has more agent-ready work step 4 - engineering gets bug repro, CI/CD watch and dependency audits the bot grabs the ticket, hits staging and hands back a repro pack step 5 - operations takes over inbox, expenses and travel the bot logs into portals with no API finance gets 8-12 hours back at month-end step 6 - marketing owns 13 of the 56 roles paid media, content calendars, competitor watch all overnight, all draft-first step 7 - the approval line every documented use case stops before external action nothing gets sent, booked or paid without you step 8 - roll out over four weeks watch, review everything, review flags, then scheduled routine skip a week and the risk stacks up step 9 - the fleet Chief of Staff bot on top, specialists below, bots messaging each other you stop being the middleman step 10 - rank tasks by the cost of a mistake the bot nails 49 in a row then does something strange on the 50th with full confidence keep a human at every exit the result - 56 roles, one playbook the bot takes the 80% that repeats you keep the 20% that matters use cases: x.ai/bot/use-cases marketplace: x.ai/bot/marketplace
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
Grok Bot 0.77 looks INSANE πŸ”₯ > Calls: your Bot can dial someone, sit on hold, press keys and get transferred while you watch a live transcript > Messages on Mac: a setup screen under Connect Apps, still switched off > Tailscale: Grok Bot can join your private tailnet once an admin approves it > Payments: a screen to connect payment accounts and pick a default, on top of yesterday’s Vault > Sharing: emails when someone shares a Bot with you, and invites need Premium or Ultra
SpaceXAI: Grok Bot Morning Briefing Grok Bot upcoming updates, spotted in prerelease builds since yesterday (0.77.0-pre.3 β†’ pre.19) πŸ’³ Payments settings πŸ“ž Calls panel βœ‰οΈ Share and invite a Bot πŸ›‘οΈ Tailscale device setup πŸ—ΊοΈ Search this area πŸ”Œ Teams disconnect warning βœ‰οΈ Expiring invite links πŸ“„ Page code cancelled warning πŸ›‘οΈ Make a tailnet the default ⏱️ Page routine buttons 🧹 Remove from sidebar πŸ“ž Pressed keys readout πŸ“ž On hold status πŸ’¬ Messages setup on Mac πŸ“„ Page widgets βœ‰οΈ Shared with me βœ‰οΈ Bot invite plan copy πŸ€– Bots have their own computer πŸ“¦ Order submitted πŸ’¬ Agent context notices dropped Note: These may or may not be available when this ships to the public and are based on analysis of the changes between builds.
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
Grok @Bot can now call someone or a business for you, make a request on your behalf, take notes on the response and send you a note summarizing the conversation!
Grok Bot 0.77 looks INSANE πŸ”₯ > Calls: your Bot can dial someone, sit on hold, press keys and get transferred while you watch a live transcript > Messages on Mac: a setup screen under Connect Apps, still switched off > Tailscale: Grok Bot can join your private tailnet once an admin approves it > Payments: a screen to connect payment accounts and pick a default, on top of yesterday’s Vault > Sharing: emails when someone shares a Bot with you, and invites need Premium or Ultra
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
I spent the last week setting up Muse for my business and honestly, its so Fin over for so many people. I dont see a world where agents aren't running 80% of an agencies work within 6-12 months. All a company needs to do is setup its Github repo, upload all important SOPs, processes and procedures and then begin building a cadence for this superintelligence to run their company for them. As tech gets better, more and more aspects of online business will easily be run by Muse, grokbot and others. There is NO excuse for non technical founders to not have this running for their business. Except one: Time. If you're busy AF and havent been able to get going, I got going for you. I took all my work and the first 27 systems I set up with Muse for 8F and put it into a PDF that you can give to Muse, grokbot or any superintelligence agent and ask it to copy + build out for your business. Inside: 39 pages The basic architecture with Github The 27+ systems you can setup in a week or less to run marketing, sales, ops, admin. Comment 'muse' and ill send it Must be following to get DM
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
Replying to @FindleysFinance
It's literally $4M wrote a full post explaining the math: bowtiedbull.io/p/the-first-4…
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
Everything is hard. Nothing works the first time. It all feels pointless. That’s when you realize you’re going to have to will it into existence with every ounce of your fucking soul. And that’s when it starts to happen.
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
The video I watched every morning At 7 AM for 7 months.
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Moon Shooter πŸš€πŸŒ™πŸŒ• retweeted
Replying to @iwo_cybulski
Hey so I had similar issues. I 1 shot my ads about 90% of the time now. If its speaking, you need to generate the voice in eleven (or record it) separately. Then layer on the actual text/script of the voice in the prompt like I have in the prompt below. THEN make sure it stick to it and doesnt try to ad/adjust movements. The audio must be locked over all or SD will try ad stuff/or adjust it to make up for body movements etc. Hope that helps (youll find how I did the script part in the dialogue section and you can see how I site the audio below) [Generation Goal] A photoreal selfie video, 3:4, 22 mm, in the look of a low-quality impromptu phone selfie video: the man from @Image1 filming himself with the camera in his own hand while he walks through the kitchen in @Image2, talking to the viewer the whole way, lip-syncing to @Audio1, his facial expressions driven by @Video1 and kept small and natural. Around the 8-second mark he steps over to a laptop open on the counter showing the ad account from @Image4, turns the camera onto it and points at it briefly, then goes back to walking and filming around the kitchen. Amateur quality, the camera held a little above his head, looking around the room occasionally, slight camera sway and shifting angles. Soft, slightly blurry, not HD, not polished. No flashes, no flicker, no sudden brightness changes at any point. [No Words On Screen] No captions, no subtitles, no titles, no lower thirds, no watermarks, no logos, no UI, no timecode, no text overlaid on the video of any kind. The only words anywhere in the picture are the ones physically displayed on the laptop's own screen from @Image4, seen as part of the room when the camera is on it. [Reference Material Roles] @Image1 defines the man: his identity, face, hair, build, wardrobe and tattoos, carried identically. @Image2 defines the location: the kitchen's materials, layout, window, daylight and palette, used as the real place he is walking through, not a backdrop behind him. @Image4 defines what is on the laptop screen: the ad account dashboard, shown on the laptop's display exactly as pictured β€” the same layout, the same numbers, the same words β€” as the laptop's own screen content, not an overlay on the video and not a backdrop; it is seen only on that screen. @Video1 defines his facial expression and the way his face and head move while he talks β€” the eyes, brow, small smirks, glances, head turns, the energy of his delivery β€” used as the driver for his face, taken at the small, natural scale of real conversation and never amplified; it does not define the character, the camera, the location, his body or his route, and it carries no audio. @Audio1 defines the voice and the complete dialogue. The dialogue is reused from @Audio1 verbatim β€” the same words, the same number of words, in the same order, at the same timing β€” and it is the only speech in the video. He lip-syncs to it in English; his mouth follows @Audio1, his expression follows @Video1. The camera is held by him; it is never seen. [Dialogue] In natural conversational English, the man says, word for word as recorded in @Audio1: "If you run Meta ads, upgrading your pixel to AI Swarm data is one of the easiest ways to boost your ad ROI 15 to 25% literally overnight. And if you give me five seconds, I'll show you where in your account to do this. It takes a couple of minutes just for those improved results. The average result we see when swapping in this pixel data is a huge drop in the cost to get a customer from ads. The account usually grows about 10 to 15% right away, and this is just because it makes the AI targeting on the platform so much better. Here's where it is in your account, and here's how to upgrade it without any changes to your ads. FYI, this isn't theory. We've done this for massive brands with huge growth in their ads.". This text and @Audio1 are the same dialogue; @Audio1 supplies the voice and the timing. No words are added, removed or changed. He keeps talking through the laptop moment without a pause in the dialogue. After the last word of @Audio1 he keeps his lips naturally closed without speaking further and stays in the shot, still moving a little, until the video ends. [Subjects and Relationships] One man, the man from @Image1, alone in the kitchen from @Image2, holding the camera loosely out in front of and a little above himself and talking into it like he's sending a quick video to a friend. He walks through the kitchen naturally as he talks β€” an easy wander, turning as he goes, looking around the room now and then, sometimes swinging the camera to show it, then back to his face β€” with the kitchen passing and changing behind him. An ordinary laptop sits open on the counter, its screen lit and showing the ad account from @Image4; he goes to it once, shows it and points at it, and leaves it where it is. Nobody else in the shot. [Scale and Proportion] He is a full-height adult standing and walking in a large room with a high ceiling: his head, shoulders, arms and body in the same proportions as @Image1, at natural human scale against the kitchen in @Image2 β€” never shortened, compressed or shrunk to fit the picture, never bent or hunched; the room is big and he is a normal-sized man inside it. The laptop is normal laptop size on the counter, small against the room. [Camera] Selfie video held in his own hand, mostly a little above his head and tilted down so he's looking slightly up into it, his face and shoulders in the picture with room around him, the top of his arm sometimes entering at the bottom edge. The angle keeps shifting the way a real selfie does: the camera drifting higher, dropping to chest height, swinging out to the side when he looks around the room and coming back, a slight constant sway. At the laptop he turns the camera around onto the screen so the screen fills most of the picture, slightly angled, his pointing hand entering from the side, then swings it back onto his face. The picture bobs with each step, tilts, drifts off him and re-centres late, exposure easing slowly and smoothly as he passes the window. Amateur and natural: not smooth, not gliding, no stabilised glide, no zoom, no cut, single continuous take. No phone, no camera, no screen other than the laptop's, no second person ever visible. [Picture Quality] The whole video looks like a quick low-quality front-camera phone selfie, not a production: soft and slightly out of focus throughout, fine detail mushy, mild noise and grain over everything and heavier in the shadows, colours a little washed and flat, highlights clipping softly, the window gently blown out when it's behind him, focus occasionally hunting and settling late, motion smear when the camera swings. Small-sensor look: the background a bit blurry and smeared behind him, softer than he is, with his face the only thing close to sharp and even that only just. When the camera is on the laptop, the screen reads as a real lit screen filmed by a phone β€” a little soft, slightly glowing, the dashboard from @Image4 still recognisable and its layout and numbers intact. Low resolution feel, slight compression softness, a touch of smearing on edges, nothing crisp. Not HD, not sharp, not clean, no commercial polish, no cinematic look, no studio look. Brightness stays steady and continuous from first frame to last: no flashes, no strobing, no flicker, no light bursts, no white or bright pops, no sudden jumps in exposure, no glints or reflections that flare up, the laptop screen a steady even glow, every change in brightness slow and gradual. [Lighting] The kitchen's own light from @Image2 is the only light: broad, soft, cool, steady overcast daylight from the big window, with a faint neutral fill from the room; the light never flashes, pulses or flickers. It hits him the way it hits the room β€” soft and even, cool, no warm cast β€” and shifts slowly and naturally on his face as he moves and turns: brighter and flatter when the window is behind the camera, a soft edge on his hair and shoulder when the window is behind him. The laptop screen adds only a faint steady glow on his hand when he points at it. Rendered at low phone-video quality: flat, slightly noisy, soft, auto-exposure catching up gradually. His face always readable through the softness, skin natural and unpolished, no sheen. [Performance] Relaxed, casual, talking to a friend, his face understated the whole way: his eyes stay at their natural relaxed openness as in @Image1 and are never opened wide β€” no wide-eyed moments, no staring, no bug-eyed emphasis; his brows stay low and relaxed, never raised high; his expressions are small and real β€” a slight smirk at most, a small nod, a glance β€” never exaggerated, never a big smile, never a big reaction, never theatrical, nothing larger than a person actually does when chatting to a friend. His expression, eye movement and head movement follow @Video1 at that small natural scale. Natural eye contact with the camera most of the time, looking away to glance around the room as he walks and turns, breathing normally, blinking naturally, small head movements and free-hand gestures with his other hand, mouth movements matching @Audio1 exactly without over-articulating. At the laptop the point is quick and offhand β€” a loose finger toward the screen for a moment, still talking β€” not a presentation. Casual, slightly amateur energy, never posed, never presenting, never stiff. [Event Script] He's already walking and mid-sentence as it opens, the camera a little above him, the kitchen moving behind him. He wanders through the room as he talks, glancing around it now and then and letting the camera swing to catch the window and the rest of the kitchen before bringing it back to himself, the angle drifting as he goes. Around 8 seconds in, still talking, he steps over to the laptop open on the counter, turns the camera around onto its screen showing the ad account from @Image4 and points at the screen briefly with his free hand, the point lasting only a moment, then swings the camera back onto his face, pushes off the counter and goes back to wandering and filming around the kitchen as before. By the last words he's slowed to a natural stop, still looking up into the camera; the last word lands, his lips close, he keeps the camera on himself with a small natural shift of weight until the end. [Audio] Audio is @Audio1 passed through unchanged, at its original speed and full length; no generated speech, no added or removed words, no narration, no music, no other voices. Under it, the natural sound of the room: his footsteps on the hard floor, soft room tone, the faint handling sound of a camera held in a moving hand, a small tap when he points at the screen, all quiet beneath his voice. [Maintain Consistency] The same man from @Image1 throughout β€” face, hair, wardrobe, tattoos unchanged for the full scene, his eyes at the same natural openness and his expressions small and understated from first frame to last. The same kitchen from @Image2 throughout β€” its materials, window, daylight and palette consistent from every angle he turns to. The laptop screen shows the ad account from @Image4 and only that, the same before, during and after he points at it. One continuous take, no cuts, no transitions, no second camera. The low-quality phone selfie look held for the full length: soft, noisy, slightly blurry, never sharpening up into HD or a polished look. Brightness continuous and steady the whole way through: no flashes, no flicker, no pops of light at any point.
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