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5 things alana goyal does differently > solo gp that commits code every single day > doesn't take pitch meetings > runs her agents in cmux on top of Mitchell Hashimoto's ghostty > built her personal website using a dozen of her own portco's products > automated her investor... show more

jules

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245,301 просмотров • 2 месяцев назад •via X (Twitter)

Образование Наука и технологии

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5 things Charlie Holtz does differently > doesn't let AI write a single line of internal docs > blocks twitter, reddit, yc, nyt in his /etc/hosts file > buys every new Conductor employee a desk mic > tried every AI browser and still only uses safari > OpenClaw🦞 agent (lord crandon) doing workout planning + customer support triage ep 5 of show me your stack is live!

5 things Charlie Holtz does differently > doesn't let AI write a single line of internal docs > blocks twitter, reddit, yc, nyt in his /etc/hosts file > buys every new Conductor employee a desk mic > tried every AI browser and still only uses safari > OpenClaw🦞 agent (lord crandon) doing workout planning + customer support triage ep 5 of show me your stack is live!

jules

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Raye is s top tier lady who has defined her niche on digital space. She is a hardworking Nigerian that understands the value of money, and wants better things for herself. She doesn't live off allowee or NYSC crumbs. She doesn't gatekeep information to her followers. Listen to her explain how to get Remote Jobs/Optimize your profile in upwork.

Anambra 1st son

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This is so dangerous. Candace Owens tells her large fanbase filled with radicalized vigilantes and self-appointed intelligence officers that they should be deeply suspicious of Ukrainian refugees, as they may be operating as agents of French and/or Israeli intelligence. She also tells her fans in Tennessee to report Ukrainian refugees who have fled the war to law enforcement. The evidence she presented earlier in her show: “a flurry of emails.” Reminder: Every episode of Candace’s show is viewed and listened to millions of times, and she is always in the top ten “news” podcasts on every single chart.

This is so dangerous. Candace Owens tells her large fanbase filled with radicalized vigilantes and self-appointed intelligence officers that they should be deeply suspicious of Ukrainian refugees, as they may be operating as agents of French and/or Israeli intelligence. She also tells her fans in Tennessee to report Ukrainian refugees who have fled the war to law enforcement. The evidence she presented earlier in her show: “a flurry of emails.” Reminder: Every episode of Candace’s show is viewed and listened to millions of times, and she is always in the top ten “news” podcasts on every single chart.

Yashar Ali 🐘

502,710 просмотров • 8 месяцев назад

Meghan & Harry go around SCREAMING about dangers online and the biggest area of concern online in terms of privacy and potential abuse is AI And what does Meghan invest in after complaining about it? AI Here is a question, Since Meghan is an investor does that mean she has access to the personal information of those who purchase items? Does she get information on who browses her storefront? This is important information the public should know before clicking on the website Meghan has connected herself to

Meghan & Harry go around SCREAMING about dangers online and the biggest area of concern online in terms of privacy and potential abuse is AI And what does Meghan invest in after complaining about it? AI Here is a question, Since Meghan is an investor does that mean she has access to the personal information of those who purchase items? Does she get information on who browses her storefront? This is important information the public should know before clicking on the website Meghan has connected herself to

MeghansMole©️

36,324 просмотров • 4 месяцев назад

BREAKING: "Somebody knows something. We are in agony." Savannah Guthrie made an emotional appeal on the Today Show after new details revealed one of the ransom notes previously sent to her family claimed her mother, Nancy, was dead. The longtime television host begged anyone with information to come forward, saying the uncertainty has haunted her family every single day. "This is a new story today that is on your radar, but this is the life we live every day."

BREAKING: "Somebody knows something. We are in agony." Savannah Guthrie made an emotional appeal on the Today Show after new details revealed one of the ransom notes previously sent to her family claimed her mother, Nancy, was dead. The longtime television host begged anyone with information to come forward, saying the uncertainty has haunted her family every single day. "This is a new story today that is on your radar, but this is the life we live every day."

Fox News

1,252,783 просмотров • 1 месяц назад

“Somebody knows something. We are in agony,” Savannah Guthrie said in an emotional plea on the Today Show after reports revealed that one of the ransom notes sent to her family claimed her mother, Nancy, was dead. The longtime television host urged anyone with information to come forward, saying the uncertainty has weighed on her family every day. “This is a new story today that is on your radar, but this is the life we live every day,” she said.

“Somebody knows something. We are in agony,” Savannah Guthrie said in an emotional plea on the Today Show after reports revealed that one of the ransom notes sent to her family claimed her mother, Nancy, was dead. The longtime television host urged anyone with information to come forward, saying the uncertainty has weighed on her family every day. “This is a new story today that is on your radar, but this is the life we live every day,” she said.

Breaking911

128,115 просмотров • 1 месяц назад

Chris Hipkins says the reason Jacinda Ardern doesn’t live in NZ isn’t because of wide spread dislike for her - it’s because she’s in high demand overseas, saying : “Actually I know lots of National Voters have a lot of respect for her and want her more respected, it’s the small minority like anti Vaxxers hate her” Heather “I have a beach house near her parents in the Coromandel, and man, the whole town is really dark on her” Hipkins “Oh yeah well pockets of towns hate her more and Coromandel is one of them” He says that NZ “should use her more as an asset for the country” - two things Ardern has never done and cannot do ONE SINGLE THING to help this country, secondly and thankfully the gormless gimp is 100% focused on her own brand ghost writing shit books and making money. ZB turned the comments off.

Holyhekatuiteka

30,438 просмотров • 11 месяцев назад

Dont ever sit there and tell me that this woman, Erika Kirk, did not love HER Charlie. HERS. NOT YOURS. NOT MINE. NOT CANDACE OWENS. HERS. Charlie chose HER. He loved her. He loved THEIR family. SHE LOVED HIM. We were lucky that we were able to have a tiny part of Charlie while he was here. ERIKA LOST THE OTHER HALF OF HER SOUL. You dont get to do your conspiracies and remove everything Charlie AND Erika built and their very own foundation. That's a couple in love. Shame on every single one of you and of the Candace ILK.

Dont ever sit there and tell me that this woman, Erika Kirk, did not love HER Charlie. HERS. NOT YOURS. NOT MINE. NOT CANDACE OWENS. HERS. Charlie chose HER. He loved her. He loved THEIR family. SHE LOVED HIM. We were lucky that we were able to have a tiny part of Charlie while he was here. ERIKA LOST THE OTHER HALF OF HER SOUL. You dont get to do your conspiracies and remove everything Charlie AND Erika built and their very own foundation. That's a couple in love. Shame on every single one of you and of the Candace ILK.

Sassafrass84

854,288 просмотров • 6 месяцев назад

The BEST prompt for AI agents I've heard over the last 12 months is ONLY 3 words, and it comes from someone who managed multi-billion dollar P&Ls in AI, led a 100 person org at AWS, and now runs a brilliant AI workforce of 34 agents: 1. Her best prompt is just "do smart things" She gives the agents all her context first, her calendar, email, Stripe, goals, and transcripts, then lets them decide what's worth doing. She realized every task still started as a thought in her own head, which meant the company could only ever be as good as what she remembered to ask for. 2. Her human team talks to her agents in Slack. She has a channel where a teammate can ask "did that financial services client reply to Ali's email," and the agents answer directly, so people stop waiting hours for her to get back to them. 3. Since an AI agent costs almost nothing, she hired the person she'd never put on payroll. One does nothing but ask how to make everything ten times better. Another just watches the other agents work and flags where they get stuck. 4. She avoids old job titles, because the second you call one your CMO, you've rebuilt a 2015 company with robots. Most of her sub-agents run on cheaper, smaller models and do the job fine. 5. Run an AI watchdog instead of a dashboard. Point one at your Slack to catch two people doing the same work, at your calendar to flag conflicts, at your analytics to tell you what to post tomorrow. Almost nobody does this yet. 6. She keeps a daily "brain dump" that feeds the agents. At the end of each day she dictates what's in her head that isn't written down anywhere, the stuff that only lived in a meeting or a Slack thread, and it goes into a wiki the agents read. That's how they get the context that email and calendar miss. 7. She uses a "last 30 days" research skill to spin up on anything fast. Before running a workshop for 200 execs in an industry she doesn't know, she fans out agents to scan and synthesize the last month of news, then walks in sounding like she's followed it for years. That's my convo with Allie K. Miller on The Startup Ideas Podcast (SIP) 🧃 . Pretty much her biggest tips for using AI agents. Full episode below. Happy building, I'm rooting for you.

The BEST prompt for AI agents I've heard over the last 12 months is ONLY 3 words, and it comes from someone who managed multi-billion dollar P&Ls in AI, led a 100 person org at AWS, and now runs a brilliant AI workforce of 34 agents: 1. Her best prompt is just "do smart things" She gives the agents all her context first, her calendar, email, Stripe, goals, and transcripts, then lets them decide what's worth doing. She realized every task still started as a thought in her own head, which meant the company could only ever be as good as what she remembered to ask for. 2. Her human team talks to her agents in Slack. She has a channel where a teammate can ask "did that financial services client reply to Ali's email," and the agents answer directly, so people stop waiting hours for her to get back to them. 3. Since an AI agent costs almost nothing, she hired the person she'd never put on payroll. One does nothing but ask how to make everything ten times better. Another just watches the other agents work and flags where they get stuck. 4. She avoids old job titles, because the second you call one your CMO, you've rebuilt a 2015 company with robots. Most of her sub-agents run on cheaper, smaller models and do the job fine. 5. Run an AI watchdog instead of a dashboard. Point one at your Slack to catch two people doing the same work, at your calendar to flag conflicts, at your analytics to tell you what to post tomorrow. Almost nobody does this yet. 6. She keeps a daily "brain dump" that feeds the agents. At the end of each day she dictates what's in her head that isn't written down anywhere, the stuff that only lived in a meeting or a Slack thread, and it goes into a wiki the agents read. That's how they get the context that email and calendar miss. 7. She uses a "last 30 days" research skill to spin up on anything fast. Before running a workshop for 200 execs in an industry she doesn't know, she fans out agents to scan and synthesize the last month of news, then walks in sounding like she's followed it for years. That's my convo with Allie K. Miller on The Startup Ideas Podcast (SIP) 🧃 . Pretty much her biggest tips for using AI agents. Full episode below. Happy building, I'm rooting for you.

GREG ISENBERG

170,886 просмотров • 7 дней назад

Another woman who chooses to live on her own terms, Malaika told us that back in her 20s she had no idea she was highly ambitious — never imagined her life and career would take the shape they have today. She credits her mother for a large part of that journey. Malaika Arora is, in every sense, what makes for a great story: resilient, self-made, unapologetically herself. Thank you for coming to WeTheWomen , for sharing your story with such honesty — and congratulations on your new book.

Another woman who chooses to live on her own terms, Malaika told us that back in her 20s she had no idea she was highly ambitious — never imagined her life and career would take the shape they have today. She credits her mother for a large part of that journey. Malaika Arora is, in every sense, what makes for a great story: resilient, self-made, unapologetically herself. Thank you for coming to WeTheWomen , for sharing your story with such honesty — and congratulations on your new book.

barkha dutt

123,141 просмотров • 8 месяцев назад

Nobody is writing 90% of their code using AI. Here's the uncomfortable truth: The real productivity gain from using AI to write code is closer to 10%, nowhere near the 90% people claim. Sundar Pichai said in 2024 that 30% of the new code at Google was AI-generated. However, he went on to admit, during Lex Friedman's podcast, that engineering velocity had only increased by about 10%. AI-generated code isn't free code. It still has to be reviewed, tested, and made production-ready. Optimizing a single step (code generation) doesn't boost output if bottlenecks shift elsewhere (code reviews). It doesn't matter how much code you generate if you can't keep up the review process. The solution: Automate as much as you can the review and verification of your code. I'm working with Sonar, who is sponsoring this post, and they will take care of the code quality and security analysis of your code: • They review over 300B lines of code every single day • They cover reliability, security, and maintainability for your code • You can integrate them into your CI/CD pipeline • You can install them in your IDE (I use their VSCode extension) • Support for more than 30 languages Here is a link so you can check them out:

Nobody is writing 90% of their code using AI. Here's the uncomfortable truth: The real productivity gain from using AI to write code is closer to 10%, nowhere near the 90% people claim. Sundar Pichai said in 2024 that 30% of the new code at Google was AI-generated. However, he went on to admit, during Lex Friedman's podcast, that engineering velocity had only increased by about 10%. AI-generated code isn't free code. It still has to be reviewed, tested, and made production-ready. Optimizing a single step (code generation) doesn't boost output if bottlenecks shift elsewhere (code reviews). It doesn't matter how much code you generate if you can't keep up the review process. The solution: Automate as much as you can the review and verification of your code. I'm working with Sonar, who is sponsoring this post, and they will take care of the code quality and security analysis of your code: • They review over 300B lines of code every single day • They cover reliability, security, and maintainability for your code • You can integrate them into your CI/CD pipeline • You can install them in your IDE (I use their VSCode extension) • Support for more than 30 languages Here is a link so you can check them out:

Santiago

296,637 просмотров • 10 месяцев назад

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Santiago

64,425 просмотров • 8 месяцев назад

🚨Cardi B reportedly opened up about her financial struggles following her split from Offset, claiming that she has been carrying the responsibility of taking care of their children on her own. She admitted that things have become so difficult financially that she’s even struggling to afford basic expenses like makeup. Cardi reportedly expressed serious anger toward Stefon Diggs, accusing him of taking $7 million from her bank account and using the money to place a bet without her permission. She said she is furious over the situation and plans to take immediate legal action against him to recover the money. “I’ve had enough. I’m not letting anyone play with my money or take advantage of me anymore. I’m taking this to court.”

🚨Cardi B reportedly opened up about her financial struggles following her split from Offset, claiming that she has been carrying the responsibility of taking care of their children on her own. She admitted that things have become so difficult financially that she’s even struggling to afford basic expenses like makeup. Cardi reportedly expressed serious anger toward Stefon Diggs, accusing him of taking $7 million from her bank account and using the money to place a bet without her permission. She said she is furious over the situation and plans to take immediate legal action against him to recover the money. “I’ve had enough. I’m not letting anyone play with my money or take advantage of me anymore. I’m taking this to court.”

Daboss👑

46,003 просмотров • 1 день назад

A girl set up AI agents to run her business while she sleeps. By the time she wakes up, money has already moved. She built the system once. Took a few evenings. Now it runs without her. Here is what it looks like. An AI agent monitors trending topics 24 hours a day. Finds what people are searching for, what they are buying, what they need answered. Sends her a report every morning she barely reads anymore because the next agent already acted on it. Another agent writes the content. Product descriptions, emails, social posts, video scripts. Hundreds of them. Personalized. Published. Done before sunrise. A third agent handles customer messages. Answers questions, processes requests, follows up. Fluent. Fast. Never offline. She wakes up, checks the dashboard, sees what came in overnight. Last month: $23,000. The month before: $19,000. She is not a programmer. She did not write a single line of code. She described what she wanted in plain language and the agents figured out the rest. During the day she refines things. Adjusts. Thinks about where to point the system next. That is maybe an hour of her time. The other 23 hours the agents are working. Most people trade time for money. She traded one week of setup for a business that never clocks out. Save this before everyone realizes agents do not need a salary.

A girl set up AI agents to run her business while she sleeps. By the time she wakes up, money has already moved. She built the system once. Took a few evenings. Now it runs without her. Here is what it looks like. An AI agent monitors trending topics 24 hours a day. Finds what people are searching for, what they are buying, what they need answered. Sends her a report every morning she barely reads anymore because the next agent already acted on it. Another agent writes the content. Product descriptions, emails, social posts, video scripts. Hundreds of them. Personalized. Published. Done before sunrise. A third agent handles customer messages. Answers questions, processes requests, follows up. Fluent. Fast. Never offline. She wakes up, checks the dashboard, sees what came in overnight. Last month: $23,000. The month before: $19,000. She is not a programmer. She did not write a single line of code. She described what she wanted in plain language and the agents figured out the rest. During the day she refines things. Adjusts. Thinks about where to point the system next. That is maybe an hour of her time. The other 23 hours the agents are working. Most people trade time for money. She traded one week of setup for a business that never clocks out. Save this before everyone realizes agents do not need a salary.

Shelpid.WI3M

25,531 просмотров • 2 месяцев назад

Jenny McCarthy Wahlberg once trusted the science and the doctors, ensuring her son was fully vaccinated. But a personal tragedy—watching her own child suffer a vaccine injury—shattered that blind faith and became a painful awakening. That experience is now her purpose. She now dedicates herself to mentoring 5-10 women weekly, from mothers of newly diagnosed children to those navigating pregnancy. Her approach isn't to command, but to educate, offering a crucial "elevator pitch" of information they often don't receive. Her most vital instruction? "Go do your own research." She emphasizes that this is the key lesson from the COVID era: to question, to investigate, and to never operate on blind faith. This message is being echoed back to her by those who once promoted the very system she trusted. She regularly receives messages from nurses and doctors apologizing, admitting she was once "the bullseye" on their office posters they were taught to dismiss. She doesn't need the apologies. Her only goal is to ensure that what happened to her son doesn't happen to another child. Ever again.

Jenny McCarthy Wahlberg once trusted the science and the doctors, ensuring her son was fully vaccinated. But a personal tragedy—watching her own child suffer a vaccine injury—shattered that blind faith and became a painful awakening. That experience is now her purpose. She now dedicates herself to mentoring 5-10 women weekly, from mothers of newly diagnosed children to those navigating pregnancy. Her approach isn't to command, but to educate, offering a crucial "elevator pitch" of information they often don't receive. Her most vital instruction? "Go do your own research." She emphasizes that this is the key lesson from the COVID era: to question, to investigate, and to never operate on blind faith. This message is being echoed back to her by those who once promoted the very system she trusted. She regularly receives messages from nurses and doctors apologizing, admitting she was once "the bullseye" on their office posters they were taught to dismiss. She doesn't need the apologies. Her only goal is to ensure that what happened to her son doesn't happen to another child. Ever again.

Camus

42,831 просмотров • 10 месяцев назад

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch

GREG ISENBERG

84,497 просмотров • 2 месяцев назад

Here are some clips from my day today with Konnie who is blind & came in all the way from South Dakota to try out the Tesla Tesla Robotaxi service. Konnie is a remarkable & inspirational person who runs a website “Gliding Through Blindness” & makes YouTube videos with the help of several products & services to document her adventures. She is also highly adept with technology & what it offers to help people like her with disabilities not only regain independence, but live a full & highly productive life In these clips, we talk about opportunities for the Tesla AI & Tesla Robotaxi teams to make the service better for people like her, thoughts about Neuralink & how that technology offers promise to countless people for improved lives, & her summary thoughts following 4 rides spanning almost 2 hours of driving in a Tesla Robotaxi today. These are just some clips of a much longer video I’ll be releasing that captures a lot more of the experience, her observations, & suggestions!

Here are some clips from my day today with Konnie who is blind & came in all the way from South Dakota to try out the Tesla Tesla Robotaxi service. Konnie is a remarkable & inspirational person who runs a website “Gliding Through Blindness” & makes YouTube videos with the help of several products & services to document her adventures. She is also highly adept with technology & what it offers to help people like her with disabilities not only regain independence, but live a full & highly productive life In these clips, we talk about opportunities for the Tesla AI & Tesla Robotaxi teams to make the service better for people like her, thoughts about Neuralink & how that technology offers promise to countless people for improved lives, & her summary thoughts following 4 rides spanning almost 2 hours of driving in a Tesla Robotaxi today. These are just some clips of a much longer video I’ll be releasing that captures a lot more of the experience, her observations, & suggestions!

Joe Tegtmeyer 🚀 🤠🛸😎

38,358 просмотров • 1 год назад

AN 18-YEAR-OLD GIRL IS SITTING IN HER NEW BMW EXPLAINING HOW SHE MADE $8,000 IN ONE WEEK. SHE DOESN'T KNOW HOW TO CODE. She calls herself an "AI Web Developer." She makes $15,000 a month. Her entire strategy relies on a cold-calling trick that 99% of web agencies haven't figured out yet. She doesn't pitch. She builds the demo first. She goes on Google Maps. She finds a local business with 5-star reviews but a terrible website. She copies all their business info and drops it into Claude 3.5. Claude writes the website copy. She pastes the copy into an AI site builder. In 4 minutes, the AI generates a fully functional, modern website. Then she picks up the phone and calls the owner. She doesn't ask if they want a new website. She says: "I already built you a new website. Want to see it?" She sends the link. The owner opens it. It has their business hours, their photos, their 5-star reviews, and a working booking button. The owner says it looks incredible. She quotes $1,200 to transfer the domain. Done. Real web agencies walk into meetings with pitch decks and portfolios. They quote $5,000 and ask for a 6-week timeline. This 18-year-old skips the meeting entirely. She shows up with the finished product already built in 4 minutes. She made $8,000 last week closing these deals from her car. There are millions of local businesses on Google Maps with broken websites. The demo does the selling. The AI does the building. The teenager just collects the $1,200.

AN 18-YEAR-OLD GIRL IS SITTING IN HER NEW BMW EXPLAINING HOW SHE MADE $8,000 IN ONE WEEK. SHE DOESN'T KNOW HOW TO CODE. She calls herself an "AI Web Developer." She makes $15,000 a month. Her entire strategy relies on a cold-calling trick that 99% of web agencies haven't figured out yet. She doesn't pitch. She builds the demo first. She goes on Google Maps. She finds a local business with 5-star reviews but a terrible website. She copies all their business info and drops it into Claude 3.5. Claude writes the website copy. She pastes the copy into an AI site builder. In 4 minutes, the AI generates a fully functional, modern website. Then she picks up the phone and calls the owner. She doesn't ask if they want a new website. She says: "I already built you a new website. Want to see it?" She sends the link. The owner opens it. It has their business hours, their photos, their 5-star reviews, and a working booking button. The owner says it looks incredible. She quotes $1,200 to transfer the domain. Done. Real web agencies walk into meetings with pitch decks and portfolios. They quote $5,000 and ask for a 6-week timeline. This 18-year-old skips the meeting entirely. She shows up with the finished product already built in 4 minutes. She made $8,000 last week closing these deals from her car. There are millions of local businesses on Google Maps with broken websites. The demo does the selling. The AI does the building. The teenager just collects the $1,200.

ZER

71,841 просмотров • 1 месяц назад