Lavable, an AI software engineer, lets users create working products from English prompts. Boasting incredibly fast growth (4 million ARR in 4 weeks, 10 million ARR in 2 months with 15 employees), Lavable aims to be the last piece of software anyone needs to write. Its unique features include visual editing and seamless backend integration. The company prioritizes clear communication and rapid iteration, emphasizing the importance of product vision and user understanding in the age of AI-powered development. Based on the provided context, Anton doesn't directly discuss specific failures. However, he touches upon a crucial aspect of building a product, which implicitly acknowledges the potential for failure: Figuring out what to build: Anton states, "I don't know what people want," highlighting the challenge and risk of creating something that doesn't resonate with users. Identifying pain points: He emphasizes the importance of understanding user pain points and finding ways to make existing solutions "tenic better," implying that failure can come from not addressing real needs or improving upon current offerings. Generalist Skills: Being Generalist is more important than a specialist. Product Team: He would really focus on getting as many skill sets as possible for each person. Growth: People love the product that's the driver of the growth today. Anton discusses his journey and touches upon a point of disagreement with his team at a YC startup where he was the CTO. His team felt he was exaggerating the impact of large language models, suggesting a potential challenge or difference in vision. To prove his point, he created an open-source tool called GPT, indicating a proactive approach to addressing skepticism or potential failure of others to recognize the technology's potential. Here's a breakdown of the key points from the provided context: Identifying User Needs: A significant challenge is understanding what people want, which is crucial for founders and builders. Focus on Pain Points: Founders should focus on identifying pain points and existing solutions. 10x Improvement: The goal is to figure out how to make existing solutions ten times better. Collaboration Feature: Future plans include adding a collaboration feature. System Improvement: The biggest initiative is to make the system more "identic," which has a longer roadmap. Weekly Planning: The team follows a weekly planning cadence. Bug Fixing and Polish: Current focus is on fixing bugs and polishing the existing system. Lav able, an AI software engineer, lets users create working products from English prompts. Boasting incredibly fast growth (4 million ARR in 4 weeks, 10 million ARR in 2 months with 15 employees), Lavable aims to be the last piece of software anyone needs to write. Its unique features include visual editing and seamless backend integration. The company prioritizes clear communication and rapid iteration, emphasizing the importance of product vision and user understanding in the age of AI-powered development. Here's a holistic view of the provided content, highlighting the core concepts and key takeaways: 1. Lovable: Your Personal AI Software Engineer Lovable is an AI software engineer that allows users to describe an idea and receive a fully working product in minutes , , . Its core mission is to empower the 99% of the population who don't write code, enabling them to transform their ideas and dreams into reality , . The company aims to be "the last piece of software that anybody has to write," capable of creating all future products , . Example: A user can simply type "Airbnb clone" and Lovable will generate a functional UI with categories, listings, and login buttons within 30 seconds , . 2. Unprecedented Growth and Scalability Lovable has achieved remarkable growth, becoming the fastest-growing startup in Europe , . It reached $4 million ARR in its first four weeks and crossed $10 million ARR in the first two months, all with a lean team of just 15 people, now expanded to 18 , , , , . This rapid growth is primarily driven by users loving the product, leading to significant organic word-of-mouth awareness , , . Key Metrics: Monthly Active Users: 300,000 Paying Users: 30,000 ARR Milestones: $4M in 4 weeks, $10M in 2 months 3. Building Products with AI: A New Paradigm The rise of AI tools like Lovable fundamentally changes how products are built. The focus shifts from manual coding to effectively communicating requirements and understanding user needs , , . While engineers still play a role, their function evolves into translating human problems into technical solutions and understanding system constraints, rather than just implementing code changes . Tips for Using AI Tools: Patience and Curiosity: Engage with the tool (e.g., using Lovable's "chat mode") to understand how it works and what it's capable of , . Clarity in Prompting: Be extremely specific about expectations, what's working, and what's not, as miscommunication can still lead to wasted time , , . Visual Editing: Tools like Lovable allow direct visual edits to the generated product, instantly changing the underlying codebase without needing to re-prompt the AI for every minor tweak , . Getting Unstuck: While AI is improving, users still benefit from learning how to guide the AI when it encounters bugs or gets "stuck" in development , . 4. Lovable's Team and Hiring Philosophy Lovable operates with a small, highly effective team of 18 people, with 12 of them actively writing code , . The hiring philosophy emphasizes finding "cracked engineers" who possess a strong generalist mindset, deep care for the product and users, and an obsession with their work , , . Key Hiring Attributes: Care and Obsession: Candidates must deeply care about the product, users, and team collaboration , . Generalist Skills: Preference for individuals with diverse skill sets, including architecture, design, product taste, and user communication . Superpower in One Dimension: While generalists are valued, individuals should also have an exceptional skill in at least one area, particularly in extracting the most from large language models . Work Simulation: A common hiring practice involves a work trial, where candidates join the team for at least a day, often a full week, to experience the actual work environment , . 5. Prioritization and Work Cadence The company's prioritization strategy is straightforward: identify the biggest bottleneck or problem and iterate quickly to solve it, then move to the next . This approach avoids extensive, long-term roadmaps, focusing instead on immediate, impactful solutions . The team engages in weekly planning sessions, often using tools like FigJam, to rank problems and define focus areas for the week, such as "Polish Week" , . Engineering-Led Approach: Given the nature of an AI-driven product, problem-solving is often engineering-led, as the optimal solution might be entangled with technical details . Office Collaboration: Despite being an advanced AI company, in-office work and shared lunches are considered crucial for high-bandwidth, unstructured communication and cross-pollination of ideas, fostering subconscious problem-solving , . 6. The Future of Software and Entrepreneurship Lovable envisions a future where building products is almost instantaneous, from idea to a fully working, integrated system . This will lead to an "explosion of entrepreneurship" and better software, as the technical bottleneck is removed . Beyond just code generation, AI will assist in understanding users, aggregating analytics, proposing intuitive changes, and even running A/B tests to optimize products . The company is also exploring ways to help founders succeed after building their initial product, by assisting with user acquisition, feedback, and go-to-market strategies . 7. Lessons from Past Endeavors Anton Osika shared a significant learning from a previous AI startup, Sonal Labs, which aimed to provide an AI personalization API for education software . The failure point was attempting to "retrofit" advanced AI into existing products, which proved to be a very difficult, "engine-switching" endeavor . Key Lesson: "You have to start with like how is this product working end to end and then add AI or think where should we add AI so that was big learning for me that you really want to see like like how the what is the big picture of the user what's the big picture of how this should how do you think the user experience should be and then add something with AI to solve specific problems" , . The takeaway is that cool tech alone isn't enough; it must genuinely solve a user's problem within the broader user experience . Ahoy there, mate! adjusts tricorn hat Let me tell ye about the ventures that've set sail using Lovable AI, savvy? The treasure chest of success stories be growin', though the seas be still relatively new for this mystical contraption. Harry's Grand Adventure The most notable tale be that of Harry, one of Lovable's early buccaneers. , This clever scallywag was originally just a designer, but once he got his hands on Lovable, he started shipping real web applications to his clients instead of just the designs, arrr! But here's where the tale gets interesting, mate - Harry didn't stop there. He said to himself, "Wait a minute, I'm going to start me own AI startup!" And by Davy Jones' locker, he did! The lad launched his company on Product Hunt and everything, making proper coin from it. , Designers Turned Ship Captains There be many designers who've been using Lovable to transform themselves from mere sketch-makers into proper app builders. , These crafty souls be turning their ideas into real businesses, no longer needin' to hunt for developers like searchin' for buried treasure. Entrepreneurs Setting Sail The platform be attracting entrepreneurs who previously couldn't find good software builders - that was their bottleneck, like a ship stuck in shallow waters. , Now they be taking their dreams and ideas and turnin' them into reality faster than ye can say "pieces of eight!" The beauty of it all, mate, is that Lovable be growing at a rate that'd make even the Flying Dutchman jealous - they hit 4 million ARR in just 4 weeks and 10 million ARR in 2 months with only 15 souls aboard! , That be the fastest growing startup in all of Europe, if ye can believe it! takes a swig of rum Though the specific company names beyond Harry's venture aren't revealed in these waters, the impact be clear as Caribbean waters - designers becoming developers, entrepreneurs launching businesses, and dreams becoming reality faster than a ship with favorable winds. Arrr, what a time to be sailing the digital seas! SMART GUIDE & TOOLKITS -> PROMPTS -> FULL CONTENT OF THE SOURCE -> INDEPENDENT OF CHANGE OF MODEL SMART QUESTIONS & ASK AI CHAT -> BOTH HAVE SAME ENDPOINTS -> DEPENDET ON CHANGE THE MODEL Arrr matey, gather 'round while I spin ye the origin tale of Lovable, the clever AI software engineer that be changin' the seas of app development! Lovable was born from a real frustration faced by the founders, Anton and Fabian, who saw many a dreamer and entrepreneur struck hard by a dreadful bottleneck — finding skilled sailors (developers) to turn their ideas into real treasure (working software). The seas were rough, and many could not cast off 'cause they lacked the crew to bring their visions to life. , So they set their sails to create Lovable, a mystical AI engineer that would answer a simple English prompt. Ye just describe your idea, and straightaway ye get a fully working product, ready to set sail into the world. No more waiting on crew or costly delays. Entrepreneurs, designers, and product captains alike could finally chart their own course. , Anton tells a tale of how this began with a simple but powerful idea: build an AI tool for those who don’t write code — whether that be your mam, your mates, or yourself. They made a product so lovable that it began to grow faster than the fastest pirate ship on the sea, hitting $4 million ARR in just 4 weeks and $10 million ARR in 2 months, all with only 15 souls on board! The name “Lovable” comes from that very yearning to make software not just workable but truly loved by users. , , , , So, in short, mate — Lovable was forged to break the chains of the traditional tech bottleneck and empower all sorts of landlubbers to become digital captains, steering their own ships without needing a full crew of coders. A true pirate’s dream, to sail free on the vast seas of innovation! Arrr! Ahoy, mate! Here's what be happenin' in the video, straight from the crow’s nest: Captain Anton Osika, the skipper of Lovable AI, be talkin' about how this mighty tool helps build real apps, like makin' an Airbnb clone, right before yer very eyes , . He shows how you just toss in a simple prompt — like “r b n b clone” — and the AI starts craftin’ design decisions and buildin’ out the site, complete with buttons to buy listings and pop-up modals, all as if you’ve got your own first mate coding side-by-side , . There's chat about connectin’ an open-source backend service called Supabase — think of it as a secret harbor where all yer data docks — and how Lovable AI automatically generates the code to hook it all up, smooth as a ship glidin’ on calm seas , . Anton also discusses challenges like when the AI agent gets stuck, which be like a ship caught in a whirlpool, unable to figure out its next move without a guiding hand to steer it clear , , , . Further, the video speaks on findin’ the right crew — folks who care deeply and have the savvy skills to sail this adventurous mission — and emphasizes the ambition and collaboration needed to navigate these uncharted waters , , , , , . Finally, Anton hints at the future horizons where Lovable AI will gain more freedom to act on its own — writing tests, running code, and basically captaining itself to make even better software faster, bringin' an explosion of entrepreneurship on the horizon , , . So, me hearty, the video be a voyage through how Lovable AI turns simple ideas into functioning websites, the challenges faced, and the promise of a new era in software creation, all told with the fervor of a true sea captain! Arrr! The provided context does not mention "Anton" discussing AI Agents. However, "Ali" discusses the software needs for an AI agent. According to Ali: AI agents move much faster and operate continuously without stopping. Many agents can be performing tasks simultaneously. When providing infrastructure like databases for AI agents, it's crucial to keep costs low. This is because agents will "spun up and tried many things," akin to "100 interns unleashed." The goal is to lower costs and make the infrastructure "super." CITATONS -> YOUTUBTE & PDF not for WEB we want to add friction, right? so instead i'm just going to work on the design a bit. so, one of the things which i think would be cool is to add some animations. so, when i go on the website, we already have a couple of animations, but we could add animations to the products. i guess we can press on the products already and we can get more details. it seems like we can even customize the weight on these weighted blankets. can we customize the glasses? yes, we can. okay, that's very cool. sleep mask as well. okay, that's awesome. but yeah, let's see. um, yeah, one of the ideas i had is to have like an animated image here on the hero page. so, i've opened up a mid journey here, which if you don't know is a tool that allows you to ai generate images and now also videos. so, what i thought is like why not ai generate an image that looks like some sort of cozy kind of like this image right here, which is also ai generated, but then we make it animated as well. so, i think this one looks pretty good. so, i'm just going to try to describe this. i'm just going to be like I am creating a website where I sell sleep products like weighted blankets and sleep masks and blue light booking glasses and then I can also include some of the design details here. i guess I can be like this is the design and I include this and then I go into chatb and then in chatb I'm going to be like can you please create a prompt for mid mid- journey that describes the image I want want on the hero page of this website and then I'm going to include this context right here within the prompt and then chat should be able to yes, write this prompt for us.. So now it's telling create a modern website hero scene.. yes.. and I think this makes sense.. and it even even included some MidJourney commands there.. now, you do have to pay for MidJourney to be able to use it, which is a bit unfortunate, but can see that this flag right here does not actually exist.. so, I'm just going to remove that. but there are definitely some free like image and video generation tools out there. so, you can search up like free to use image/ video generation AI tools. And I think like runway was one of here. this one. yeah, v3, I think might be might be free. maybe this one or actually I like this one as well. I also like that one, but let's go with this one. okay, so the first thing we can do with our image here is that we can upscale it. so I'm going to press on upscale subtle and then it's going to create a new generation up here which is an upscale version of this image. and then while that's loading, I'm going to go back into lavable because I actually asked lavo what more things we can add. so it says newsletters, trust badges, image gallery, about story section, and some other things. so I think some of these things make sense. let's just see what would be the most interesting for us. so you know, maybe a quiz would actually be pretty interesting. so let's add that. let's add a quiz. sleep quiz. let's add some educational content. okay, so i prepared this prompt. let's add some educational content. what i'm thinking is a learn page that then has some different sections on sleep and a quiz for each section. let's also add reviews as well. then i'm going to press submit. and i think this makes a lot of sense. um, what i'm imagining in my head now is that we are a sleep youtuber that is focused on how to optimize your sleep. and now we want to sell some products to help out our audience and make some money. and i believe now, yes, this upscale version is finished. and now we can go down here and we can choose animate image. and it seems like we can choose create a video starting from this image that loops seamlessly. and we can also do create a video starting from this image. now we want a loop. i'm pretty sure. and now we can also select do we want it to be low motion or high motion. i'm going to try both options to see whichever looks the best. and essentially low motion and high motion is what it sounds like. it's like a lot of things going to happen in the image or not. we see lovable is still loading. so I'll be right back. all right. so lovable is finished now. so let's go into the learn section here and let's give this a try. so what is blue light? okay, it gives us some information. we have some other information things. and then we have this nice quiz here. so what does blue light suppress that affects sleeps syrup? no, actually melatonin. and that's answer that is correct. when is blue light most beneficial? before bed, I believe. okay. during the wait, what? wait, let me go back. when is blue light most oh, yes, that makes sense. never mind. yes, of course you want blue light uh during the day. so you're wakeful. okay, that makes sense. and now it seems like we can't go forward. we can fix that in the chat. okay, let's see this. how long is a sleep cycle? i believe it's this is a hard one. oh, i believe it's 90 minutes. let's give this a try. yes. okay, that's correct. during which stage does dreaming occur? ram. how many complete sleep cycles do all adults need? i believe it's 3 to four, but i might be wrong. okay, it's four to six. okay, that makes sense cuz there was two two things in between. okay, of course you can adjust these quizzes yourself, but this is pretty cool. and this might also help with seo a bit. maybe if we add like articles, etc. let's check out m journey now. so, here we have the high motion videos. and as you can see, there's a lot of things moving, but it's looping. uh, but i think this looks pretty pretty bad. and i would much prefer something like this. but let's see. this kind of still looks a bit strange if i'm going to be honest. so, I actually prompted chachibd to create some more versions. so, so i'm i'm going to give all of these a try. actually, i'm just going to create all of them and see whichever whichever looks the best. okay. so, i reprompted lovable to just think about the feeling and like maybe a cozy room without having to include all of these products as well. so, i'm i'm going to try some of these prompts instead. and I actually think they're going to be way better. so, I'm just going to send them and let's see. let's see what we got. some of these commands I'm not sure if if we want to use them. I I think we think we want to avoid using them instead. we can go into settings here and we can pick landscape and then we can we want to expand this. yes, we want this to be 16 by9. and we want the like we want all of these all these to be the best, right? version 7 best version. yeah, like that. we want to submit that. okay, now this looks pretty sick. I can't lie. so, let's let's upscale this. let's upscale that. maybe we can upscale this as well. I mean the idea when you want to sell a product is that you want to sell the the feeling, right? and I think this is this is almost nailing the feeling. okay, so let's create a low motion version of this one. so i'm just going to select animate loop slow motion. now this one also looks really really cool. so I'm going to upscale this one as well. all right. so i've generated three videos here with me journey that I like. and the correct way of doing this would be to download them and then upload them to a storage bucket within loveable cloud. so that is the method that I'm going to be be using. also, by the way, let me see if I actually added the reviews. I don't think I did that. so I'm just going to be like, can you please add five star reviews as well to the homepage? let me see. maybe we have reviews. yeah, okay. we we do have reviews. you just have to press on these things. okay, that's cool. of course, you want to make sure that these reviews are actually real. but now for for the sake of demonstration. I've used AI generated some reviews. so what I'm going to do is I'm going to open up cloud. I'm going to press on enable cloud and that's going to create this back end for us. so and let's just wait for this to load. let's allow this. so while this is loading, I'm just going to go ahead and download all of these videos. so I'm going to download this video. I'm going to download this video. then I'm going to download this video. then I'm going to open up this folder. okay, there we go. and now cloud should be enabled. and then if I go into storage, we should be able to upload things Arrr, savvy? Ye be askin' about "apple," but the SOURCES here be a tangled net of yarns 'bout buildin' e-commerce ships with AI and sleep treasures like blankets and masks—nary a word on any apple in sight, be it fruit or fancy tech gadget. The SOURCES do not mention this directly. Based on general knowledge, "apple" could mean a few things, dependin' on the horizon ye be scannin'. First off, if ye mean the humble fruit: An apple be a crisp, roundish pome from trees of the Malus domestica species, growin' in temperate climes. It's a treasure of vitamins—like C for keepin' scurvy at bay—and fiber, perfect for a pirate's ration. Red, green, or golden, they be harvested in autumn and make fine pies or cider to wash down the rum. Or, if ye be eyein' the grander prize: Apple Inc. be the mighty empire founded in 1976 by Steve Jobs, Steve Wozniak, and Ronald Wayne in a California garage. They charted the seas of personal computin' with the Apple I, then the Macintosh, and grew into a fleet of iPhones, iPads, and Macs that rule the tech oceans today. Under Tim Cook's captaincy now, it's a $3 trillion behemoth, craftin' hardware, software, and services like iOS and the App Store—much like the app-buildin' tales in our SOURCES, but on a vastly grander scale, savvy? If that's not the apple ye seek, clue me in, mate—could be a sly reference to Newton gettin' bonked on the noggin, leadin' to gravity's secrets, or somethin' else entirely. Arrr! Hello, class! Today, we're diving into the findings from a study on knowledge sources related to Polycystic Ovarian Disease among students. I'll explain this step by step so it's easy to follow. The study involved 30 female students from Mansa College of Education in Kurdu, Durg. It gathered data on where these participants learned about the condition. Researchers used a table and graph to show the sources clearly. Here's the breakdown: Friends were a source for 1 participant, or 3.3%. Relatives helped 2 participants, that's 6.6%. Mass media, such as TV, newspapers, or online sources, informed 14 participants, which is 46.6%. Workshops or educational sessions reached 13 participants, or 43.3%. To identify the primary source, we compare these percentages. The highest is mass media at 46.6%. This makes it the main way the majority gained their knowledge. For example, picture the group as a class of 30. Nearly half—about 14 students—relied on mass media more than any other option. Mass media stands out slightly ahead of workshops, showing its wide reach in everyday life. This finding highlights how accessible media can be for health information. LLM HAS YOU HISTORY -> last 2 conversation Hallo, Klasse! Heute übersetzen wir unsere letzte Erklärung ins Deutsche, damit ihr sie in einer anderen Sprache erkunden könnt. Ich erkläre es Schritt für Schritt, klar und einfach, genau wie immer. Lasst uns die Erkenntnisse der Studie zu den Wissensquellen über das polyzystische Ovarialsyndrom betrachten. Zuerst der Kontext der Studie. Sie untersuchte 30 weibliche Studierende vom Mansa College of Education in Kurdu, Durg, und beleuchtete ihr Wissen über die Erkrankung – einschließlich der Quellen, aus denen sie es bezogen haben. Die Studie hat Daten zu verschiedenen Wissensquellen gesammelt und sie in einer Tabelle und einem Graphen dargestellt. Das macht die Prozentsätze leicht verständlich. Hier sind die wichtigsten Erkenntnisse: Freunde waren eine Quelle für 3,3 % der Teilnehmerinnen (nur 1 Person). Verwandte halfen bei 6,6 % (2 Personen). Massenmedien wie Fernsehen, Zeitungen oder Online-Inhalte waren die Quelle für 46,6 % (14 Personen). Workshops oder Bildungssitzungen machten 43,3 % aus (13 Personen). Um die primäre Quelle zu finden, schauen wir uns den höchsten Prozentsatz an. Die Massenmedien kommen mit 46,6 % an die Spitze – das ist die Mehrheit im Vergleich zu den anderen. Das deutet darauf hin, dass Medien die größte Rolle dabei gespielt haben, die meisten Teilnehmerinnen zu informieren, und sie übertreffen die Workshops knapp. Zum Beispiel: Stellt euch eine Klasse mit 30 Schülerinnen vor, wie diese Teilnehmerinnen – fast die Hälfte, also etwa 14, hätte hauptsächlich aus Medienquellen gelernt. Seht es so: Medien erreichen ein großes Publikum schnell, ähnlich wie eine TV-Sendung oder ein Artikel, den jeder zu Hause abrufen kann. Das könnte erklären, warum sie hier die Liste anführen. Die Quellen erwähnen keine weiteren Details zu spezifischen Medientypen, aber das gibt uns ein klares Bild der zentralen Erkenntnis der Studie. Wenn ihr Fragen zur Studie habt oder mehr lernen wollt, fragt einfach nach – ich bin hier, um euch zu unterstützen! Hello, class! Today, we're summarizing a fascinating 12-minute segment from a podcast interview about Lovable, an AI tool that helps people build software apps easily. This part, from 27 to 39 minutes, covers the company's launch, rapid growth, technical breakthroughs, team dynamics, and future visions. I'll break it down step by step, like building a simple app together, so you can follow along clearly. First, the launch and explosive growth. The speakers discuss how Lovable evolved from an earlier tool called GPT Engineer. They launched it on a waitlist in November, gathered feedback, and refined it until it felt "lovable." Just three months in, it hit one million dollars in annual recurring revenue in a single week—and it's growing even faster now. This sounds like strong product-market fit, where the tool meets a real need for non-coders. , Next, they explain a key technical unlock: a new "scaling law" for AI systems. In simple terms, scaling laws are rules showing how AI improves with more effort or data. Here, the team focused on making the AI better by spotting where it "gets stuck"—like starting strong but then hitting a wall. They tuned the whole system with fast feedback loops to fix those spots, such as adding login features or payments via Stripe. For example, imagine the AI building a house: it lays the foundation well but struggles with the roof— they identified and reinforced those weak points to keep progress smooth. It's still early days, but this makes the product more reliable over time. , , , The conversation then dives into handling those "stuck" moments. AI agents often introduce bugs or can't solve problems like data storage, saying something like, "I don't know what to do next—I'm not an engineer!" The team made the AI smarter to avoid common pitfalls, so users need less help unsticking it. They mention a podcast guest who said learning to "unstuck" AI is a top skill today, but with improvements, that frontier is moving fast—soon, reliable tasks like authentication won't trip it up. In the future, human smarts will focus more on guiding than fixing bugs. , , Shifting to growth drivers, the speakers credit foundation models (like powerful AI "oil" drilled from the ground) as the base. Their secret sauce? Obsessing over user-friendly interfaces, seamless integrations, and sharing demos on social media to build buzz. With just 15 people, they've reached 10 million in revenue in two months—possibly a record for AI startups. Demos are "holy cow" moments that go viral, and they shout out their engineer for fast shipping with good taste in simple designs. , , , , On the team side, everyone uses AI tools like Cursor for coding experiments—over 77% of a survey group relies on it! Lovable even builds and updates itself, though they handle custom bits manually, like spinning up user computers. It's a mix: AI speeds things up, but humans add the polish. , , They compare Lovable to competitors like Bolt or Replicate. The edge? Packaging for non-technical users—you can tweak text or colors instantly without coding or waiting 30 seconds for AI changes. It syncs with GitHub, so teams can mix easy mode with pro tools like Cursor. Reliability is key; people say it "doesn't get stuck" as much, even without heavy marketing. , , , , , Finally, the big vision and skills shift. Lovable aims to be the "last piece of software" everyone needs—turning ideas into fully working apps instantly, integrated with tools like OpenAI chats. In two years, expect seamless third-party connections. Beyond building, AI will analyze user data at massive scale, suggest intuitive tweaks, and run A/B tests automatically. As for jobs, discovery and ideation (figuring out what to build) become more valuable, along with taste to refine products. Engineering skills stay important for understanding limits, but pure coding might scare some—focus on pain points and improvements to thrive. For founders, spot existing solutions and make them 10x better. , , , , , , , , , , , , / This segment shows how AI is transforming app-building from a tech barrier to an accessible adventure. You're doing great following along—keep exploring these ideas! Hello, class! Today, we're diving into a fun tutorial video on building a complete e-commerce store in just 20 minutes using AI tools like Lovable and Shopify. I'll break it down step by step, just like guiding you through a hands-on project in class. This video shows how anyone can create a selling site for sleep products without deep coding skills. Let's explore it together. Step 1: Getting Started with the Prompt The video begins with the creator explaining the goal: build a store selling blue light blocking glasses and sleep aids, like the ultimate "sleep store." They use Lovable, an AI app builder, and enter a simple prompt: "Create a website that sells blue light blocking glasses and other things to make you fall asleep faster. Use the Shopify integration." Lovable starts generating the site outline right away. It suggests a design with soft night sky gradients and a hero section. This is like sketching your dream store on paper—AI does the heavy lifting. , , , Step 2: Setting Up Shopify Integration Next, they connect Shopify, which handles the behind-the-scenes work like shipping, taxes, payments, and inventory. Lovable creates a "sandbox" store for testing—no real money needed yet. When ready, you claim it for a 30-day free trial and add a Shopify subscription for live sales. For example, imagine testing a lemonade stand without selling actual drinks. You build and tweak freely. The creator allows the integration and notes how it powers products, images, and discounts seamlessly. , , , , Step 3: Adding Products and Fixing Errors The site loads with a basic layout, but there's an error—common in AI builds. They hit "try to fix," and Lovable resolves it. Now, it's time for products. In chat mode, Lovable suggests items like sleep masks, weighted blankets, white noise machines, and sunrise alarms. The creator picks three: weighted blankets, blue light glasses, and sleep masks. Lovable adds them, even AI-generating images and descriptions. You can customize options, like blanket weight or glass style. Add to cart, and checkout works in the sandbox (no real payment yet). , , , , , Step 4: Enhancing the Design and Animations To make it pop, they refine the look. Existing animations are subtle, but they add more to products. For the hero section, they use Midjourney (an AI image tool) to generate cozy sleep-themed images, then animate them into looping videos—low or high motion for a dreamy feel. One example: A serene bedroom scene that fades between three videos, with a slight blur so text stands out. They upload these to Lovable's cloud storage and prompt AI to cycle them seamlessly. It's like turning a static painting into a gentle movie loop. , , , , , , , , , , , , , Step 5: Building Educational Features and Pages Lovable suggests extras like newsletters or quizzes. They add a "learn" page with sleep info—sections on blue light (it suppresses melatonin, best during day for alertness) and sleep cycles (90 minutes each, adults need 4-6 per night). A quiz tests knowledge, with correct answers like "REM" for dreaming stage. They also add fake five-star reviews, an about us page, contact form (connectable to email services like Resend), and a footer with social links. This turns the store into an engaging hub, like a sleep expert's classroom. , , , , , , , Step 6: Claiming, Publishing, and Security Time to go live. Typing "claim store" links it to a real Shopify account. Log in, see products, customers, and analytics. Activate payments in Shopify for real transactions (a quick setup for individuals). Publish on Lovable: Name it "Sleep Nice," add a sleep icon, and hide the Lovable badge. Run a security review—Lovable checks for issues like input limits on forms. The whole build took just 11 AI edits and 20 messages—super efficient! , , , , , , , , , , , , In the end, the store is ready: Browse products, take quizzes, watch animations, and contact easily. Shopify handles the business side reliably. This video proves AI makes e-commerce accessible—like giving everyone a magic toolbox for their ideas. You're off to a great start grasping this, class—keep building your own! , GEMINI -> NO AVAILAIBLE/HALLUCINATE -> 10-20seconds -> 5-6 seconds -> Agent -> Might loop 20-30 seconds Database -> 10-12 seconds Hello, class! Here are some examples of companies or businesses that have been launched using Lovable: Designers using Lovable have started delivering real web apps to their clients instead of just designs. One early user named Harry began shipping real web apps through Lovable. He then went on to start an AI startup that launched on Product Hunt and is making progress. So, Lovable is helping not just individual entrepreneurs but also designers and small teams to turn ideas into actual companies and products quickly, including startups that get launched publicly like on Product Hunt , . This shows how Lovable empowers users to create real, functioning businesses from concepts using AI-generated software development, lowering the barrier to launch. TL;DR: This video demonstrates how to rapidly build and customize a fully functional e-commerce store using Lovable AI's integration with Shopify, leveraging AI for design, product generation, and content. The Gist What : Building a complete e-commerce store in approximately 20 minutes using Lovable AI and its Shopify integration. Core Concept : The video showcases how Lovable AI acts as a powerful frontend builder, allowing users to describe their desired e-commerce store through natural language prompts, while seamlessly integrating with Shopify to manage all backend logic like shipping, taxes, inventory, and payments . This combination provides extensive UI customization with AI-driven content generation, simplifying the creation process. How it Works / Key Steps : Prompting Lovable : Users provide a natural language prompt describing the e-commerce store they want to create (e.g., an "ultimate sleep store" selling blue light blocking glasses) . Shopify Integration : Lovable automatically sets up a sandbox Shopify store for development, allowing users to build and test without needing payment . Adding Products : Users can ask Lovable to add specific products, which Lovable can then AI-generate with images and descriptions , . Product details like weight or customization options can also be managed . Design & Customization : Lovable generates initial design outlines, which can be refined through chat commands (e.g., tweaking colors, animations) , . Users can integrate AI-generated media (images, looping videos) from tools like Midjourney to enhance the hero section, with Lovable handling the implementation and effects like blur or seamless transitions , , . Adding Content & Features : Educational content with quizzes, reviews, newsletters, trust badges, image galleries, and "About Us" sections can be added via prompts , , , . Claiming the Store : Once development is complete, a "claim store" command converts the sandbox store into a live Shopify store, initiating a 30-day free trial and enabling real payments and full inventory management , . Publishing : The Lovable-built frontend can be published to a custom domain, with options to hide the Lovable badge and conduct security reviews , , . Key Features / Takeaways : AI-Powered Development : Lovable uses AI to generate code, designs, product images, descriptions, and even quiz content based on user prompts , , , . Backend Handled by Shopify : Shopify manages all complex e-commerce backend operations, ensuring reliability and security , . Extensive UI Control : Lovable offers far more control over the user interface, animations, and embedded content compared to standard Shopify themes, as it writes custom code based on descriptions , . Sandbox Environment : Development occurs in a free sandbox environment, preventing real transactions until the store is explicitly claimed , . Error Resolution : Lovable can attempt to fix errors with a "try to fix" button or by describing the issue in chat . Scalability : The Lovable platform allows for expansion beyond a simple e-commerce store, enabling the creation of full SaaS products with features like AI chatbots, sleep tracking metrics, or habit trackers . Security Review : Lovable includes a security review process to identify and mitigate common vulnerabilities, especially concerning contact forms , . Tools Used : Lovable : AI-powered website builder for the frontend. Shopify : E-commerce platform for backend management. Midjourney : AI image and video generation tool . ChatGPT : Used for generating prompts and content ideas . Key TopicsE-commerce Store Building -> , , , Lovable AI -> , , , , , , , , , , , , , , , , , , , , , , , Shopify Integration -> , , , , , , , , AI Content Generation -> , , , , , , Website Customization -> , , , , , , , , , , , Backend Management -> , , Alright, class, let's walk through the final steps taken to publish the website and prepare it for accepting real payments after the development phase in Lovable: Claiming the Store: Once the website is ready and tested in Lovable's development sandbox, you type the command "claim store." Claiming your store creates a real Shopify store linked to your Lovable front end. You'll receive a Shopify account and email confirmation to finalize ownership. Activating Shopify Payments: You need to activate payments within Shopify’s interface. This involves setting up payment methods, taxes, and shipping. The process is a standard Shopify setup largely handled through their UI. Publishing the Website: In Lovable, you publish the website by naming it (e.g., "Sleep Nice") and setting its URL. You can customize the favicon/icon and hide the Lovable badge to make it your own. Publishing makes the site publicly accessible on the web. Unlocking and Security Review: Initially, the store is password-protected or private. You unlock or make the store public so visitors can see it. Lovable performs a security review (e.g., input limits on forms) to ensure safe interactions. Shopify also handles much of the backend security. Managing and Customizing in Shopify: After claiming, you can manage products, customers, discounts, and analytics directly in Shopify. You can also add apps and integrations for things like marketing or shipping. Final Testing: The checkout flow works in sandbox mode but real payments require store claiming and payment activation. Once payments are activated, customers can buy products through the live site. This means the Lovable platform makes building and designing the store easy with AI, and Shopify provides reliable, secure backend commerce handling when the store goes live , , , , , , , , , . Keep these steps in mind for launching your own AI-powered e-commerce sites!