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ONE AI AGENT CAN TURN EMPTY BACKYARDS INTO POOL CONTRACTOR LEADS BEFORE THE HOMEOWNER EVEN ASKS FOR A QUOTE It works like this: AI scans expensive homes, finds large backyards without pools, generates a realistic pool preview, estimates the potential value increase, and turns it into a personalized sales...

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Asteri

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10,875 Aufrufe • vor 9 Tagen •via X (Twitter)

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We keep showing up not just to build pools, but to transform backyards into sacred escapes.Because every home deserves a slice of paradise a pool that whispers peace, a space that feels like freedom.Let us turn your dream into something real, breathtaking,and blue. 📞 0714855296
0:35

We keep showing up not just to build pools, but to transform backyards into sacred escapes.Because every home deserves a slice of paradise a pool that whispers peace, a space that feels like freedom.Let us turn your dream into something real, breathtaking,and blue. 📞 0714855296

Joseph Mutua

14,293 Aufrufe • vor 11 Monaten

This pool guy was called to find a leak that no one else could find. Within a little while he detected the leak around a jet. He wasn’t sure why no one could find it. The only way to permanently fix the leak was to jackhammer into the concrete and replace the pipe which would roughly cost $5K. Or, you could temporarily fix the leak with some putty for about $25. This is why I don’t own a pool anymore. If it could go wrong it would. Seems like there is always an issue with a pool. If you were the homeowner, would you spend the $5K to replace the pipe and not worry about it for a long time or would you just keep temporarily fixing it with putty?
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This pool guy was called to find a leak that no one else could find. Within a little while he detected the leak around a jet. He wasn’t sure why no one could find it. The only way to permanently fix the leak was to jackhammer into the concrete and replace the pipe which would roughly cost $5K. Or, you could temporarily fix the leak with some putty for about $25. This is why I don’t own a pool anymore. If it could go wrong it would. Seems like there is always an issue with a pool. If you were the homeowner, would you spend the $5K to replace the pipe and not worry about it for a long time or would you just keep temporarily fixing it with putty?

👉M-Û-R-Č-H👈

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The First Demo of the SōzōAI App You can easily buy any token and immediately add it to the Meteora liquidity pool, or the AI will create the pool if needed. This can also be automated by creating your own AI Agent and setting it up with prompts, so you won’t have to explain what and where again. You'll send the CA & AI will: Buy -> Add into Meteora Pool -> Send Telegram Notifications if u asked. Wallet we used: 5ATqNaVNQyoLa6LWSQMRqADJEWThC7jBpGYZ7gpvF3Z4 Here's how the SōzōAI did it 👇
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The First Demo of the SōzōAI App You can easily buy any token and immediately add it to the Meteora liquidity pool, or the AI will create the pool if needed. This can also be automated by creating your own AI Agent and setting it up with prompts, so you won’t have to explain what and where again. You'll send the CA & AI will: Buy -> Add into Meteora Pool -> Send Telegram Notifications if u asked. Wallet we used: 5ATqNaVNQyoLa6LWSQMRqADJEWThC7jBpGYZ7gpvF3Z4 Here's how the SōzōAI did it 👇

SōzōAI

12,221 Aufrufe • vor 1 Jahr

A student built a whole faceless passive business by creating AI backyards. I kept seeing these AI backyard builds hitting 50M views and thought it took months of editing, but I was wrong. The creators aren't starting with a dirt lot. They start with the perfect final image and make the AI work backward. And the secret is stupidly simple: generate the final picture first, and let the AI reverse-engineer it. Here is the exact 3-step system you can use to build this: - The Blueprint: Upload your finished backyard to the "Restoration Timelapse" GPT. It reverse-engineers the final image into text prompts for the empty lot. - The Setup: Paste those prompts into Dzine. This generates your "before" images with perfectly matched geometry. - The Animation: Upload your empty lot and finished yard into Kling 3.0 to animate the build. Once Kling spits out the video file, drop it into CapCut, keep the raw construction audio, and export. I broke down the complete, step-by-step architecture with GPT + GROK + CAPCUT in my full guide below 👇
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A student built a whole faceless passive business by creating AI backyards. I kept seeing these AI backyard builds hitting 50M views and thought it took months of editing, but I was wrong. The creators aren't starting with a dirt lot. They start with the perfect final image and make the AI work backward. And the secret is stupidly simple: generate the final picture first, and let the AI reverse-engineer it. Here is the exact 3-step system you can use to build this: - The Blueprint: Upload your finished backyard to the "Restoration Timelapse" GPT. It reverse-engineers the final image into text prompts for the empty lot. - The Setup: Paste those prompts into Dzine. This generates your "before" images with perfectly matched geometry. - The Animation: Upload your empty lot and finished yard into Kling 3.0 to animate the build. Once Kling spits out the video file, drop it into CapCut, keep the raw construction audio, and export. I broke down the complete, step-by-step architecture with GPT + GROK + CAPCUT in my full guide below 👇

Spivach

17,277 Aufrufe • vor 16 Tagen

✨ Made a new mini feature on Photo AI: [ Grab from 3d model ] So the problem is we're at that stage in time (typical for AI) where image-to-3d models are not good enough but are fun to play with, but we know they'll be good enough in 1-2 years With [ Make 3d model ] you already can turn any Photo AI pic into a 3d model but it still looks hyper clunky and deformed, but it works! One cool idea I had to make that more useful and made now: Let people make a 3d model then change the view of the it with the 3d viewer, then press [ o ] and it grabs a frame of the 3d That image you can then [ Remix ] (img2img), and it becomes a real photo again and that in turn you can then turn into a video again with [ Make video ] So that essentially gives you a fully freeform camera position control to take photos with One thing I need to fix is the background/skybox, I kinda need to take the original photo and remove the person and just get the background for the 3d model viewer, in this case it should be white, but it's a start!
0:51

✨ Made a new mini feature on Photo AI: [ Grab from 3d model ] So the problem is we're at that stage in time (typical for AI) where image-to-3d models are not good enough but are fun to play with, but we know they'll be good enough in 1-2 years With [ Make 3d model ] you already can turn any Photo AI pic into a 3d model but it still looks hyper clunky and deformed, but it works! One cool idea I had to make that more useful and made now: Let people make a 3d model then change the view of the it with the 3d viewer, then press [ o ] and it grabs a frame of the 3d That image you can then [ Remix ] (img2img), and it becomes a real photo again and that in turn you can then turn into a video again with [ Make video ] So that essentially gives you a fully freeform camera position control to take photos with One thing I need to fix is the background/skybox, I kinda need to take the original photo and remove the person and just get the background for the 3d model viewer, in this case it should be white, but it's a start!

@levelsio

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This is very true. AI integration is both hard and necessary for companies. And AI-native junior employees can drive this adoption. Earlier this year Aaron Levie explained with martin_casado on the a16z podcast how AI fluency is one of the most powerful skills a new grad can have. The real value comes from knowing how to make AI work inside an organization. Most companies, both large and small, are slow to adopt new technology. They need people who can explain what AI can do, show them how to use it, and help them move faster. If you are fluent in AI, you can be that person. You can walk into a company, spot the areas where AI can save time or create new opportunities, and make it happen. That is a wedge into your first job and a way to stand out from everyone else.
0:39

This is very true. AI integration is both hard and necessary for companies. And AI-native junior employees can drive this adoption. Earlier this year Aaron Levie explained with martin_casado on the a16z podcast how AI fluency is one of the most powerful skills a new grad can have. The real value comes from knowing how to make AI work inside an organization. Most companies, both large and small, are slow to adopt new technology. They need people who can explain what AI can do, show them how to use it, and help them move faster. If you are fluent in AI, you can be that person. You can walk into a company, spot the areas where AI can save time or create new opportunities, and make it happen. That is a wedge into your first job and a way to stand out from everyone else.

a16z

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This is wild.. 🤯 I just built BananaBlink using Blink AI, a full SaaS that lets anyone upload a photo and turn it into the Nano Banana trend. It’s not a demo, it’s a fully working startup... Reply "Banana," and I will DM it to you. Here is how it works + workflow:
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This is wild.. 🤯 I just built BananaBlink using Blink AI, a full SaaS that lets anyone upload a photo and turn it into the Nano Banana trend. It’s not a demo, it’s a fully working startup... Reply "Banana," and I will DM it to you. Here is how it works + workflow:

Hamza Khalid

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Are you just starting to write code for the 1st time with AI tools like Cursor? Use this prompt in your “Rules for AI”. It turns the AI into an *amazing* personal coding tutor that teaches you everything like a pro. Never get stuck in a project again. Full prompt below.
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Are you just starting to write code for the 1st time with AI tools like Cursor? Use this prompt in your “Rules for AI”. It turns the AI into an *amazing* personal coding tutor that teaches you everything like a pro. Never get stuck in a project again. Full prompt below.

Mckay Wrigley

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THIS IS HOW A $10K/MONTH PRODUCT CONTENT PIPELINE GETS BUILT FROM 1 REFERENCE IMAGE AND A JSON PROMPT The video is not about "better prompting." It is a very simple cheat code: find an image with the exact lighting, color grade and camera feel you want, make AI reverse-engineer the style into a detailed JSON, then feed that structure into Nano Banana Pro with your own product. That is the part people keep missing. They write vague prompts like “make it realistic” and blame the model when it produces plastic garbage. The better workflow gives the model a style contract before asking for the final image. One reference image becomes the art director. The JSON becomes the brief. Your product becomes the asset dropped into a visual language that already works. This is how a solo operator can sell 20-30 "premium" product shots a week without owning a camera, renting a studio or touching a lighting rig. At $150-$300 per image, that is a $3K -$9K/week offer if you can bring clients. Not guaranteed. But the math is why this workflow matters. The article is the same business model underneath: AI output gets valuable when you stop asking for random generation and start building reusable instructions that copy proven formats. No photographer, no studio, no lighting setup, no retoucher, no 12-round creative call. Just reference, extraction, structure and execution. The prompt does not make the photo look expensive. The stolen style system does.
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THIS IS HOW A $10K/MONTH PRODUCT CONTENT PIPELINE GETS BUILT FROM 1 REFERENCE IMAGE AND A JSON PROMPT The video is not about "better prompting." It is a very simple cheat code: find an image with the exact lighting, color grade and camera feel you want, make AI reverse-engineer the style into a detailed JSON, then feed that structure into Nano Banana Pro with your own product. That is the part people keep missing. They write vague prompts like “make it realistic” and blame the model when it produces plastic garbage. The better workflow gives the model a style contract before asking for the final image. One reference image becomes the art director. The JSON becomes the brief. Your product becomes the asset dropped into a visual language that already works. This is how a solo operator can sell 20-30 "premium" product shots a week without owning a camera, renting a studio or touching a lighting rig. At $150-$300 per image, that is a $3K -$9K/week offer if you can bring clients. Not guaranteed. But the math is why this workflow matters. The article is the same business model underneath: AI output gets valuable when you stop asking for random generation and start building reusable instructions that copy proven formats. No photographer, no studio, no lighting setup, no retoucher, no 12-round creative call. Just reference, extraction, structure and execution. The prompt does not make the photo look expensive. The stolen style system does.

Nekt0

14,276 Aufrufe • vor 13 Tagen

This fit woman in a pink and green bikini sits by the pool and takes a big bite of a large wrap while a shirtless man beside her smiles and eats as well. She chews and looks at the camera with a satisfied expression as palm trees and bright sunlight fill the background. This relaxed poolside meal turns a sunny day into a casual and happy moment. You wonder if enjoying simple meals like this by the pool is the best way to relax or if it’s the company that makes it special. Would you share a big wrap by the pool with someone or prefer to eat alone?
0:59

This fit woman in a pink and green bikini sits by the pool and takes a big bite of a large wrap while a shirtless man beside her smiles and eats as well. She chews and looks at the camera with a satisfied expression as palm trees and bright sunlight fill the background. This relaxed poolside meal turns a sunny day into a casual and happy moment. You wonder if enjoying simple meals like this by the pool is the best way to relax or if it’s the company that makes it special. Would you share a big wrap by the pool with someone or prefer to eat alone?

Ryan Cey

453,105 Aufrufe • vor 1 Monat

You can easily make $20K/month with automated AI youtube channels The great thing is that you don't even have to make them faceless, you can simply use an AI creator We use a software that allows you to make videos like the one below in minutes (they are extremely cheap) We've made a guide on how you can make $10K in February doing this Retweet, like, comment "AI" and I'll send it over (must be following)
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You can easily make $20K/month with automated AI youtube channels The great thing is that you don't even have to make them faceless, you can simply use an AI creator We use a software that allows you to make videos like the one below in minutes (they are extremely cheap) We've made a guide on how you can make $10K in February doing this Retweet, like, comment "AI" and I'll send it over (must be following)

Emma

11,010 Aufrufe • vor 1 Jahr

Trump is making the Lincoln reflecting pool look like a Hotel swimming pool and it’s not supposed to look that way it’s supposed to be a reflecting pool like it always has under past Presidents!
1:10

Trump is making the Lincoln reflecting pool look like a Hotel swimming pool and it’s not supposed to look that way it’s supposed to be a reflecting pool like it always has under past Presidents!

Suzie rizzio

89,728 Aufrufe • vor 1 Monat

HE MAKES MONEY IN REAL ESTATE WITHOUT BUYING, SELLING, OR EVEN SEEING A SINGLE HOUSE. HERE'S THE EXACT SETUP He never owns a property. He takes a single listing, turns it into a polished 30-second video, and sells that to the agent who posted it. Realtors need video for their feeds and almost none of them can make it. He sits in the middle and builds the whole thing once as a skill that runs on command Here is the exact process: 1. Pull the listing. Go to Zillow, open any listing, download the high-res images, and grab the property info. That is your raw material 2. Turn photos into video with Google Veo. Get a Google API key for Veo, the image-to-video model. It takes the listing photos and animates them into clean 30-second footage. This is the best one out right now 3. Add the voice with ElevenLabs. Get an ElevenLabs API key. Feed it the listing details and it returns a voiceover that sounds like a real human, not a robot. Lay it over the video with the text on screen 4. Send it with AgentMail. Get an AgentMail key so the system can send the finished email out on its own Then you wire it into one skill. Scrape the listing, send images to Veo, add the ElevenLabs voiceover and on-screen text, then send the email. Feed it each key one at a time and have it build each step Who you sell to: Pull realtors off Zillow and Realtor com whose listings have flat photos and zero video. That gap is your pitch. Send a free sample made from their own listing first, then charge a monthly rate for ongoing clips. One agent with ten listings is a recurring client, fully online Bookmark this
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HE MAKES MONEY IN REAL ESTATE WITHOUT BUYING, SELLING, OR EVEN SEEING A SINGLE HOUSE. HERE'S THE EXACT SETUP He never owns a property. He takes a single listing, turns it into a polished 30-second video, and sells that to the agent who posted it. Realtors need video for their feeds and almost none of them can make it. He sits in the middle and builds the whole thing once as a skill that runs on command Here is the exact process: 1. Pull the listing. Go to Zillow, open any listing, download the high-res images, and grab the property info. That is your raw material 2. Turn photos into video with Google Veo. Get a Google API key for Veo, the image-to-video model. It takes the listing photos and animates them into clean 30-second footage. This is the best one out right now 3. Add the voice with ElevenLabs. Get an ElevenLabs API key. Feed it the listing details and it returns a voiceover that sounds like a real human, not a robot. Lay it over the video with the text on screen 4. Send it with AgentMail. Get an AgentMail key so the system can send the finished email out on its own Then you wire it into one skill. Scrape the listing, send images to Veo, add the ElevenLabs voiceover and on-screen text, then send the email. Feed it each key one at a time and have it build each step Who you sell to: Pull realtors off Zillow and Realtor com whose listings have flat photos and zero video. That gap is your pitch. Send a free sample made from their own listing first, then charge a monthly rate for ongoing clips. One agent with ten listings is a recurring client, fully online Bookmark this

Yarchi

106,174 Aufrufe • vor 23 Tagen

SEE HOW EASILY HE LIES The reflecting pool sounds like a disaster: holes, bubbling paint, the whole thing a mess. Trump first bragged that he sent in a contractor he personally used before, a guy who “does pools.” Now suddenly it’s: “I did not know the contractor,” and the folks at Interior made the pick. I don’t know what stage of dementia this is, but this man should not have the nuclear codes.
1:13

SEE HOW EASILY HE LIES The reflecting pool sounds like a disaster: holes, bubbling paint, the whole thing a mess. Trump first bragged that he sent in a contractor he personally used before, a guy who “does pools.” Now suddenly it’s: “I did not know the contractor,” and the folks at Interior made the pick. I don’t know what stage of dementia this is, but this man should not have the nuclear codes.

Christopher Webb

312,560 Aufrufe • vor 1 Monat

When this couple rented a hotel room they were told how many people could stay in the room, it was 4. They were also told that only paid guests could enjoy the amenities like the indoor pool. They ending up throwing a pool party for their daughter at the hotel pool. Management caught wind of what happened and asked them to leave the hotel, they were put on the do not rent list for this behavior. The man says that since there is no sign at the pool that doesn’t permit it, then it’s allowed and he’s refusing to leave the hotel, he even calls it a dump but got mad when they banned them. I’ve heard of people doing this before and having no problems, I wonder what inappropriate behaviors they were doing to get kicked out, was the man right though about the hotel not having a sign at the pool, that he should have been allowed to give his friends access to the pool even though they weren’t paying guests?
2:28

When this couple rented a hotel room they were told how many people could stay in the room, it was 4. They were also told that only paid guests could enjoy the amenities like the indoor pool. They ending up throwing a pool party for their daughter at the hotel pool. Management caught wind of what happened and asked them to leave the hotel, they were put on the do not rent list for this behavior. The man says that since there is no sign at the pool that doesn’t permit it, then it’s allowed and he’s refusing to leave the hotel, he even calls it a dump but got mad when they banned them. I’ve heard of people doing this before and having no problems, I wonder what inappropriate behaviors they were doing to get kicked out, was the man right though about the hotel not having a sign at the pool, that he should have been allowed to give his friends access to the pool even though they weren’t paying guests?

SonnyBoy🇺🇸

113,150 Aufrufe • vor 4 Monaten

It’s Not that You Can’t Afford a Pool. You Just Can’t Afford the Pool You Want…
1:04

It’s Not that You Can’t Afford a Pool. You Just Can’t Afford the Pool You Want…

𝕰𝖒𝕲

57,288 Aufrufe • vor 6 Monaten

AI is shaping the future whether we like it or not. Technology itself is not the problem. The problem is deploying powerful tools without guardrails, transparency, or accountability. AI should be a tool that works for people – not one that extracts value and burdens workers.
2:03

AI is shaping the future whether we like it or not. Technology itself is not the problem. The problem is deploying powerful tools without guardrails, transparency, or accountability. AI should be a tool that works for people – not one that extracts value and burdens workers.

Rep. Ilhan Omar

28,131 Aufrufe • vor 4 Monaten

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.
2:38

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.

Tykoo

25,535 Aufrufe • vor 6 Monaten