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How to Master Building Apps with AI (This ACTUALLY Makes $$$)

AI CodingMikey No Code4 mai 202641:30
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INTRO

Les outils no-code alimentés par l’IA permettent aux débutants de créer et monétiser des applications pleinement fonctionnelles en se concentrant sur une planification structurée, des prompts clairs et un développement étape par étape.

Points clés

L’IA transforme le développement d’applications

Les progrès des générateurs d’apps basés sur l’IA comme Base44 réduisent les barrières à l’entrée, permettant à des utilisateurs sans expérience en code de créer des applications fonctionnelles. Les exigences traditionnelles comme maîtriser Python, Swift ou les bases de l’informatique ne sont plus essentielles pour créer des produits générant des revenus. L’accent se déplace vers la résolution de problèmes et la réflexion produit plutôt que l’expertise technique.

La planification détermine le succès

Une étape initiale cruciale consiste à définir l’objectif de l’application, ses utilisateurs cibles et le problème principal. Négliger cette phase conduit souvent à des fonctionnalités défaillantes et un design incohérent. Une planification claire garantit que les fonctionnalités répondent aux besoins des utilisateurs, évitant des reconstructions coûteuses et de la confusion pendant le développement.

Décomposer les idées en composants

Les projets réussis reposent sur la décomposition des idées en fonctions précises comme la création, l’édition et le filtrage des données. Les outils d’IA sont bien plus efficaces avec des instructions précises qu’avec des concepts vagues. Structurer les données dès le départ—comptes utilisateurs, détails des tâches ou statuts—permet d’éviter des problèmes d’échelle plus tard.

Comprendre l’architecture de base

Même sans coder, il est utile de comprendre trois couches clés: le front end (interface utilisateur), le back end (logique et gestion des données) et le flux de navigation (parcours utilisateur). Cette base améliore la qualité des prompts et assure une bonne intégration des fonctionnalités.

Construction guidée par prompts étape par étape

Les applications sont construites progressivement via des prompts ciblés. On commence par la mise en page, puis les fonctionnalités principales comme la saisie de données, avant d’ajouter des outils de gestion comme l’édition, le filtrage et la visualisation. Cette approche réduit les erreurs et garantit le bon fonctionnement de chaque étape avant d’ajouter de la complexité.

Exemple: application de gestion de tâches

Une application de productivité typique inclut des tableaux de bord, des formulaires de création de tâches, des listes modifiables, des filtres et une vue calendrier. Les données (titres, échéances, priorités) sont stockées dans une base de données, tandis que l’intégration Stripe permet une monétisation par abonnement. Des fonctionnalités premium, comme des vues avancées, sont verrouillées pour inciter à la mise à niveau.

Exemple: application de suivi des calories

Une seconde application montre des capacités plus larges, combinant saisie manuelle et automatisation. Elle inclut l’enregistrement des repas, le total calorique en temps réel, une base de données d’aliments consultable, des analyses de progression et la reconnaissance d’images par IA pour estimer les calories à partir de photos. Cela illustre comment l’IA améliore l’expérience et réduit les frictions.

Stratégies de monétisation

La monétisation intervient une fois les fonctionnalités de base stabilisées. Les approches courantes incluent les abonnements où les fonctionnalités avancées—comme les analyses ou outils d’IA—sont derrière un paywall. Cela permet aux utilisateurs de percevoir la valeur avant de passer à une offre payante.

Capacités intégrées des plateformes

Les plateformes modernes regroupent des services clés: hébergement, bases de données, authentification, analyses et déploiement. Les applications peuvent être publiées instantanément avec des URL actives, et des versions mobiles pour iOS et Android peuvent être générées sans environnements de développement classiques. Des outils supplémentaires prennent en charge la sécurité et le marketing automatisé.

Erreurs courantes à éviter

Les erreurs fréquentes incluent tenter de créer une app complète en un seul prompt, négliger les tests entre les étapes et utiliser des instructions vagues. Une mauvaise planification des données et l’ajout trop précoce de fonctionnalités avancées mènent souvent à des produits instables nécessitant une reconstruction.

Efficacité grâce à la réutilisation et à l’itération

Les développeurs peuvent accélérer leurs projets futurs en réutilisant des prompts et workflows efficaces. Les tests itératifs et l’ajout progressif de fonctionnalités produisent des résultats plus fiables qu’une construction complète d’un seul coup. Les processus structurés surpassent systématiquement l’expérimentation improvisée.

CONCLUSION

Le développement piloté par l’IA transforme la création d’applications en un processus structuré centré sur les problèmes, permettant des créations plus rapides et ouvrant de nouvelles opportunités aux entrepreneurs non techniques.

Transcription complète

me an entire year to master building apps with AI, making every single possible mistake along the way. But in the next 25 minutes of this video, I'm going to teach you everything that you need to know so that you don't have to waste a whole year like I did. Now, most people think that app development is impossible without years of coding experience. They see successful apps generating thousands in revenue and then they assume that the creators must be like programming geniuses who spent decades mastering complex languages and frameworks. That's exactly what I believe too. But here's what I discovered after months of trial and error. AI has completely changed the game and nobody's really talking about it the right way. You don't need to learn Python or Swift or really any programming language to build apps that people actually want to pay for. And you don't need a computer science degree or a technical background. So, in this video, I'm just going to go ahead and break down my complete system, the exact AI tools that actually work, the prompts that get results, the monetization strategies that make sense, and the stepbystep process that takes you from complete beginner to building profitable apps so that you can also build apps faster than most traditional developers too. The AI tool that will build the entire app for us today is Base 44. They are one of the best AI app builders at the moment and I added a special link in the description down below so you can go ahead and check them out too. Now, if you do want to master base 44, and I'm hoping you do, and you want to learn how to build profitable SAS apps and websites and mobile apps with AI, I've also created a complete master class that shows you exactly how to do it again step by step. And this master class normally does cost $299 to join, but since you are watching this video, you can go ahead and join completely free. All you got to do is check out that link in the description down below to get free access to my base 44 master class. And so you can go ahead and start building your own AI powered business today. All right, let's go ahead and dive in. Most people skip this part and it's exactly why their apps fall apart halfway through building. A lot of beginners jump straight into build me this app without really thinking about what they're trying to create. It feels productive at first, but then things start breaking, features don't connect [music] properly, and you end up rebuilding everything from scratch. So, instead of rushing into building, we're just going to go ahead and slow down for a moment and actually understand the app first. So, we're going to start with the most important [music] question. What problem is this app solving? And if that's not clear, then everything else just becomes well, [music] random. Features get added just for the sake of it, and then the app loses direction. Next, think about who you're building this for. The design, the layout, even the features that you prioritize. All of that depends on all type of users you might have in mind. An app for students will look and behave very differently from one built for professionals. Then there's the user experience. So try to picture how someone would actually use your app from start to [music] finish. What do they see first? What's the next step? Where do they click? So mapping all of this out helps us to figure out what's truly necessary and then what's just extra. And once that's clear, we can go ahead and move into breaking things down. Instead of saying, "I want a task app." You turn that into specific pieces like creating a task, [music] editing it, deleting it, filtering it. And this is important because AI tools work much better with clear, detailed instructions rather than vague ideas. You also want to think about the data behind your app. What information are you collecting? user accounts, tasks, dates, statuses. [music] All of these need to be planned early so that your app doesn't run into issues later on when things just start getting more complex. [music] And finally, check if your app needs to connect to anything external. So that could be payments, AI features, third party tools. Figuring this out early saves us from hitting roadblocks after we've already built most of the app. And this step might seem simple at first, but it is what makes everything else just work so much more smoothly. And once this is clear, building out the app just becomes a lot more straightforward. So now that you actually understand what you're building, the next step is knowing how everything fits together behind the scenes. And the thing is, most people get overwhelmed here. But it's honestly just much simpler than it sounds once you break it into a few core [music] pieces. First is the front end. Now, this is everything the user sees and interacts with. Your dashboard, your forms, your buttons, your menus, all of [music] it. And it's basically the sort of face of your app. Then you have the back end, and this is the part users don't see, but it's what makes everything work. It handles things like saving data, managing user accounts, and running the logic behind every single feature. Next is the navigation flow, and this is how users move through your app. Where do they land first? What [music] happens when they click a button? How do they get from one page to another? Now, if this isn't clear, even a wellbuilt app can feel confusing to [music] use. So after that, let's go ahead and make sure that you have a rough idea of the technical side. Not in a deep coding way, but just enough to guide your prompts. Knowing what languages and frameworks your platform [music] uses gives you a sense of what it can and cannot do. Understanding how the database works also helps you structure your data properly instead of guessing later on. And being aware of available AI integrations lets you know which features you can build directly versus what might need extra setup. And this is very important because without structure, things just start breaking as you build. If you add features in the wrong order, they can just conflict with each other. And if your data isn't planned properly, you'll run into issues storing or retrieving information. And then if your prompts are too vague, the AI will give you results that don't even fully work. But when you have a clear architecture in mind, everything just becomes more well predictable. [music] Your prompts get sharper, features actually connect properly, and you avoid just having to redo entire sections later on. It doesn't mean that you need to be technical at all. It just means that you understand how the pieces all just fit together before you even start building. So the issue that we're solving here is something most people deal with without even realizing it. So tasks end up scattered everywhere. There's notes, there's reminders, there's different apps even, and then even then things still get missed. Deadlines slip, priorities get unclear, and it just becomes hard to keep track of what actually needs to be done. So, the goal of this app is to just bring everything together into one place and make task management actually feel more structured and even easier to stay on top of. So, this applies to a wide range of users here. Professionals handling multiple projects, students keeping track of assignments, freelancers managing client work, or pretty much anyone who I think needs a clear system to organize their tasks. So from the user's perspective, the experience should feel simple and of course direct. They log in and then immediately they see their dashboard with today's tasks. And then from there they can add new tasks, set priorities and then assign due dates without really having to overthink the whole process. [music] As tasks build up, they can organize everything using filters and search instead of scrolling through long lists. And then when they want a better overview, they can just go ahead and switch to a calendar view to see [music] upcoming deadlines more clearly. For users who need more advanced features, [music] there's also an upgrade option that of course unlocks additional functionality like the calendar view. Once the purpose of the app is clear, the next step is turning that into specific [music] parts that we can actually need to build. And at the center of it all, we do need a task creation form where users [music] can enter the details of a task properly. Then we need a task list that displays everything clearly and gives users the ability to edit or delete tasks when things change. After that, we add filtering by priority and status so users can sort through their workload a lot more easily along with search functionality so that they can also quickly just find a task without having to dig through their entire list. We also want a calendar view that shows tasks [music] based on their due dates because of course that gives users another way to see [music] what's coming up instead of relying only on a standard list. And finally, we include a premium subscription system for users who really want access to more advanced features. And behind the scenes, we also need to store user accounts along with task data such as the title, [music] description, the due date, priority, and the status. And we also need to be able to keep track of whether a user has premium access or [music] not. So for integrations, we'll be using Stripe to handle payment processing. Now that the requirements are already defined, the next step then is understanding how the app is structured so that each part has a clear place. [music] Now here on the front end, this is everything the user will directly interact with. We'll have a dashboard that gives an overview of tasks, a task creation form for adding new tasks, and a task list displayed in card format so that of course everything is easy to read. We'll also include filter buttons and a search bar to make organization easier along with a calendar view page and a premium subscription page. Now on the back end, this is where the app handles [music] everything behind the scenes. We need user authentication of course so that each person can securely access their very own account along with a tasks database to store all task information. Stripe to manage [music] subscription payments and access control that helps decide which features are available only to premium users. Of course, as for navigation, the flow should stay simple and easy to follow. Users start on the dashboard, then they move into task creation when adding something new. [music] They manage everything through the task list and then use the calendar view when they want a more visual look at all of their upcoming deadlines. But here's the thing though, because Base 44, as you've seen, [music] is incredibly powerful, but even most people don't even know how to use it properly. They end up building basic apps that don't really make money or websites that really just they just can't convert. And that's exactly why I created my complete base 44 master class because inside of my course, I'm going to show you step by step how to build profitable businesses, SAS businesses, high converting websites, and mobile apps, all using AI, of course, with zero coding required. You're going to learn how to build SAS apps that solve real problems and generate recurring revenue. the exact prompts of course and strategies that I use myself to create professional websites in minutes. How to clone successful apps and then add your own profitable twist. Also, of course, my proven system for turning base 44 projects into actual income streams. Now, this is not theory at all. I'm going to walk you through real builds. I'm going to show you my exact process. [music] And of course, I'm going to give you the templates and the frameworks that have helped my other students launch their very own successful AI powered businesses. [music] So, if you're serious here about building something real and profitable with AI in 2026, [music] you got to click that link in the description below to join my base 44 master class [music] because your future self, I promise you, will thank you for taking action today instead of just watching another tutorial. On the technical side, it is useful to have a basic idea of what's running underneath, even if you're not writing the code yourself. The app is built using React, JavaScript, and Tailwind CSS, which handles the interface and overall structure that you see here on the screen. So for storing data, everything is handled by the base 44 database. So again, all of your user accounts and tasks and app data are already managed directly within the platform. And for AI related features, it uses base 44's native AI, which allows you to build and integrate AI functionality without needing any external APIs or additional setup. So, up to this point, everything has been about clarity, what the app does, who it's for, [music] and of course, how it should work. Now, we're taking that and turning it into a working interface, but still in a controlled way so that things don't get messy early on. So, this is the first actual build step. So, we want to keep it simple and controlled rather than say jumping straight into forms and filters and premium features already. No, we're going to start with the base layout first. And that gives the app a clear structure before any functionality is even added, which makes the next steps just really much easier to build on top of. So, here's the prompt we're going to use. Create a task management application with user authentication. Include a main dashboard, navbar, and sidebar navigation. Use a clean, modern design with blue and white colors. Make it mobile responsive. Build only the base structure with placeholders, [music] no actual functionality yet. So, this prompt is focused only on structure, and that's important here because it keeps the app from trying to build too much too early on. We're also defining the design upfront by asking for a clean, modern look with blue and white colors. [music] So, the app already feels consistent from the beginning. And by using placeholders instead of real functionality, then we get the full layout in [music] place without adding unnecessary complexity this early on. The next thing we need is the main action that users will take inside of the app, which is of course creating tasks. So, we're giving users a way to actually [music] add tasks into the system instead of just looking at a layout. So, let's set this prompt. [music] Add task creation functionality. Create a form with fields for task title, [music] description, due date, priority level, and status. Add a submit button that saves tasks to the database. [music] Display a success message after creating a task. Okay, so for this one, we're setting up the core input flow first, which is important because it defines the structure of the task data from the very beginning. Including all the needed fields makes sure that each task has complete information and saving it to the database confirms that the feature is indeed actually working and not just visually there. The success message also gives users immediate feedback after creating a task. And after creating tasks, we do need to make sure that users can actually see and manage them properly. The app will start to feel more complete here because users are no longer just adding information. They can now actually view everything that they've created and also make changes when needed. So, we're going to use this [music] prompt. Build the task list view. Build its corresponding section and widgets in the dashboard. Display all tasks in cards showing title, description, due date, priority, and status. [music] Add edit and delete buttons to each task card. When edit is clicked, populate the creation form with the task [music] data. When delete is clicked, remove the task from the database and [music] update the display. Okay, so adding the task list right after task creation makes sense because it [music] lets us test the full flow immediately. Our users can create a task. They can see it appear, edit it if something changes, and then also remove it if it's no longer [music] needed. Showing all the task details in each card also keeps everything clear. And defining [music] exactly what edit and delete should do avoids vague results. [music] So now once tasks start building up, users need a way to organize everything, right, without having to dig through the full list manually. And that's why our next step is adding filtering and search. It [music] just makes the app much easier to use, especially as more tasks get added over time. So, here's the prompt we're going to use. Add filtering and search functionality. Create filter buttons for [music] priority levels and status. Add a search bar that filters tasks [music] by title and description in real time as the user types. So adding these features after the basic create, edit, and delete flow does make sense because users can now start managing larger task lists more efficiently. And the real-time search keeps the [music] experience smooth and responsive, while the specific filters for priority and status [music] just make it easier to sort tasks in a more useful way. After users can create, edit, delete, and organize their tasks, the next step is giving them just a better way to see everything at a glance. And a list works well for managing tasks one by one, but a whole calendar just makes it easier to spot upcoming deadlines and also plan ahead more clearly. So, here's the prompt we're going to use. Add a calendar view page. Display tasks on their due dates in a monthly calendar format. Use different colors for different priority levels. [music] When clicking a date, show all tasks due that day in a side panel. And this comes after the core task feature. So, there's already real data to display here [music] for us. Using a monthly calendar gives users a wider view, of course, of what's coming up across different weeks instead of only seeing tasks in a list view. We're also being very specific about how the interaction should work here. Different colors make priority levels easier to recognize right away, and clicking a date to open that day's tasks makes the calendar actually useful instead [music] of just being a static view. Everything in the app works for free, but if you do want this to be something more than just a project, you do need a way to actually make money from it. So, let's go ahead and send this prompt. [music] Integrate Stripe for payment processing. Create a premium subscription page with a simple checkout flow using test keys. Lock the calendar view feature behind the premium subscription. Add a upgrade [music] to premium button that nonsubscribe users see when trying to access the [music] calendar. Show a premium badge for subscribe users. So here it's very important to add monetization at the end because it keeps the focus on making the core product work first before bringing in payment logic. So using test keys also makes it safe to check the flow without using real transactions. So locking the calendar view creates a clear premium boundary and then the upgrade prompt [music] gives users a direct path to unlock it. The premium badge also makes subscription status visible inside of the app. So now let's go ahead and keep in mind that having a clear idea of what the app is supposed to do from [music] the start made the whole entire build just more straightforward. Everything was broken down into simple steps, which is why the app came together in just six prompts if you're counting with me without needing to go back and then just fix anything. Each part had its role. [music] Task creation handled input. The database stored everything properly. Filtering and search made organization easier. The calendar gave a better overview of deadlines. And Stripe handled monetization. Nothing really felt disconnected at all because pretty much every step was planned ahead. And that's what keeps the process smooth and avoids having to rebuild things later on. Since we already talked about why this step matters, we're now going to apply that same thinking here before building this next app. [music] And this keeps everything clear from the very start, so we're not guessing later on or fixing things halfway through. So, the issue that we're solving here is something a lot of people run into when trying to stay consistent [music] with their diet. Tracking calories sounds simple at first, but then it quickly turns into a chore. or you have to look up every food and estimate portions and manually log everything. It takes time and because of that, most people just end up dropping the habit entirely after just a few days. [music] So, the goal of this app is to remove as much friction as possible and make tracking feel effortless enough to stick with. And this is mainly for people who are already trying to be mindful of what they eat. whether that's fitness [music] enthusiasts, individuals managing their weight, or pretty much anyone else focused on improving their health. And these users don't need something complicated. No, they really just need something fast, [music] accurate, and of course, easy to keep using every day. From their perspective, then the experience should feel straightforward. They log in and then they start adding meals throughout their day while their total calorie intake just updates instantly so they can see where they [music] stand. And if they do want accuracy, then they can go ahead and search through a food database instead [music] of just kind of guessing. And if they want speed, then they can upload a photo of their meal and then let AI estimate the calories for them. And then over time they can go ahead and check visual charts to see patterns and progress [music] which helps them stay consistent. And once they do want more advanced features, well then there's an option to of course upgrade without disrupting their current flow. So now we break everything down again into what actually needs to be built. And at the core we need a meal logging form where users can input what they've [music] eaten. Alongside that, we need a system that calculates and displays their total daily calories in real time. To make logging easier, we include a food database with search functionality so that our users can go ahead and quickly find common foods and their calorie [music] values. After that, we add progress charts so that users can see how much their intake changes over time instead of just looking at numbers. And then on top of that, we introduce AI photo analysis so that users can upload a meal and then get an instant estimate without manually entering anything. And finally, we include a premium subscription system [music] to unlock more advanced features. Now, behind the scenes, we do need to store user accounts, meal entries, and of course, a structured food database. As we said before, we also need to keep track of daily calorie goals and whether a user has an active subscription or not. So for integrations, then we'll rely on AI for food scanning and Stripe to handle our payments. So these connections are important to define early on so that everything works smoothly once we start building. Now that everything is clear on what we're building, the next step is understanding how all the parts connect behind the scenes. And this helps us avoid building things in the wrong order or running into issues when features start interacting with each other. So on the front end, this is everything the user will actually see and interact with. We will have a dashboard that shows the current calorie count along with meal logging form where users can quickly add what they've eaten. There will also be a food database page where our users can browse or search for meals, plus analytics charts that visualize their progress [music] over time. For more advanced functionality, then we'll include an AI upload interface where our users can submit meal photos and a subscription page of course where they can manage upgrades. On the back end, this is where everything runs behind the scenes. We need [music] user authentication so each person can log in and access their own data. We'll also have a meals database to store everything users log along with a food database that holds predefined food items and their calorie values. And since we are adding AI features, we'll need AI vision processing to analyze uploaded meal images. And for monetization, Stripe will handle all payment related processes. [music] For navigation, the flow should feel natural and easy to follow. Users begin on the dashboard, then they move into meal logging as they add entries. They access the food database when they need accurate information. Then they check analytics to review [music] their progress, use AI scanning for faster logging, and then head into settings when they want to manage their account or their preferences. [music] And from a technical standpoint, we're using React, JavaScript, and Tailwind [music] CSS to build the interface and the overall structure of the app. For data storage, everything will be handled by the Base 44 database for us, which [music] keeps things quite simple and integrates easily with the platform. And as for the AI features, we'll rely on B4's native AI, which allows us to build things like food scanning without needing external APIs. Everything that we mapped out earlier from the problem to the users to how the app is structured comes into play here right now as we start turning it into an actual product. Instead of trying to make everything work immediately, we're starting with the layout first. This is where most people rush and it's also usually why things just feel disorganized later on. When you try to add features a little bit too early, the app just ends up cluttered and harder to fix as you go. So here we're just focusing on getting a clean base in place, something that already looks good, complete, even if nothing is working yet. Just like the earlier example, we're not jumping straight into all of the features at once because we want to begin with the base layout first so that the app has a solid structure before anything functional [music] gets added. So here's the prompt that we're going to use. Create a calorie tracking application with user authentication. [music] Include a main dashboard, navbar, and sidebar navigation. Use a clean, health focused design with green and white colors. Make it mobile responsive. Build only the base structure with placeholders. No actual functionality. [music] Again, not yet. Now, this first prompt is focused only on structure, and that matters a lot here. Starting this way keeps the app from trying to build too many things too early on, which usually leads to messy results. We're also defining the visual style right away. Using green and white gives the app a clean wellness focused feel from the very beginning, which fits the purpose of the product much better. And by asking for placeholders only, we then get the full layout in place without really having to introduce unnecessary complexity yet. [music] That gives us a clean foundation to build on in the next steps. So once the base layout is ready, the next thing that we need is the main action that users will keep coming back to and coming back for, which is of course logging their meals. Now this is really the heart of the app because if users can't quickly enter what they've eaten, then the rest of the features don't really matter that much at all. So instead of adding too many extras at this point, we'll just go ahead and focus on the one thing the app absolutely needs to do well [music] first. So here's the prompt that we're going to use. Create the meal logging functionality. Remove all placeholders. Then create a form with fields for meal name, calories, meal type, and date. Once a meal has been saved, add [music] it to the database. Display the total amount of calories for the current day prominently at the top of the page. So this prompt is doing a few important things at once. First, [music] we are removing the placeholders so the app starts transitioning from a visual draft into something users can actually interact with. Then we're creating the full meal logging form with all the important fields already included so that users can log entries properly from the very start. We're also telling it to save meals directly to the database, which makes this a real working feature instead of just a front-end form. And showing the total calories for the current day at the top is important because it gives users instant feedback. They don't have to calculate anything on their own or wonder if the app is updating correctly [music] because as soon as they log a meal, they can immediately see the impact. After setting up meal logging, the next step is making the process faster and more accurate for users. Right now, users would still need to manually enter everything, which can get repetitive. [music] So, instead of relying only on, say, manual input, we're now adding a built-in food database to go ahead and speed things up. So, let's use this prompt. Create a food database page with a comprehensive list of common [music] foods and their calorie values. store at least 50 food items with name, calories per serving, and serving size at a search bar that filters foods in real time. And when a user clicks a food item, autopop populate the meal logging form with that food's information. So, this just removes one of the biggest reasons that people even stop tracking, having to constantly look things [music] up. So with a ready-made list of food, users can now just search and then select instead of typing everything out manually. So the real-time search also makes it very quick to find what we need without scrolling through very long lists. And once we do click a food item here, it then fills in the details automatically for us, which then makes logging even faster and smoother. Once users can log meals and search food easily, then the next step is helping them actually see their progress. If the app only shows daily entries, it can really start to feel repetitive. [music] But when users can look back and spot patterns, it does become much more motivating [music] to just keep on going. So, here's the prompt we're going to use. Add an analytics page showing calorie tracking history. Display a line chart of daily calorie intake for the past 7 days and 30 [music] days. Show statistics including average daily calories, days under goal, days over goal, and total meals logged. Use a chart library for the visualization. So, this prompt adds a more useful layer to the app because it turns raw entries into something users can actually learn from. Showing both from the past 7 days and the whole 30 days gives a shortterm and a wider view of progress at the same time. The added statistics also make the tracking feel a lot more meaningful because instead of only seeing logged meals, users can now understand [music] how they've been doing overall and whether they're really staying within their goals. After setting up the manual side of tracking, we can now add the feature that makes this app feel just much smarter and more convenient to use. There are plenty of moments where users just won't want to type everything out, especially when they're maybe eating out or having something homemade. So, instead of relying only on manual logging, we're going to go ahead and add AI scanning to make that process even quicker. [music] And we can use this prompt. Add an AI powered food scanning feature. Create a page where users can upload a photo of their meal. Utilize AI to analyze the image and estimate [music] the calories and food items present, display the AI's results with confidence scores, and add a button to save the meal directly to the daily log. So, this feature helps remove even more friction from the whole tracking process because now users can just upload a meal photo and then get an estimate instead of having to input everything on their own. So adding confidence scores as well is important because it just gives our users a better sense of how reliable the result is rather than showing a number with no explanation at all. And by including a save button right away, the feature becomes useful in practice instead of just showing information. So once the core experience is working, the last step really is adding a way to monetize the app without getting in the way of the main product. So let's go ahead and send this over. Integrate Stripe for payment processing. Create a premium subscription page with [music] a simple checkout flow using test keys. Lock the AI scanning feature and detailed analytics behind the premium subscription. Add an upgrade to premium message when users try to access these [music] features. Show a premium badge for subscribe users. So, we're adding this at the tail end for a reason because it's better to just make sure the app already works properly before bringing payments into it. So, locking AI scanning and detailed analytics also creates a clear difference between free and premium. Users still get a working app for basic tracking while the more advanced features give them a solid reason to upgrade. And this is exactly what happens when everything is just built with a clear plan from the very beginning. Understanding the app's purpose first and then breaking it down into clear, specific [music] steps makes it possible to build a complete calorie tracking app again in just six prompts without running into any errors or needing to redo anything. And each feature worked because it was added in the right order. Meal logging handled the core input. The database stored everything properly. The food list made logging faster. Analytics showed our progress. AI scanning reduced manual work. And Stripe handled all of our monetization. So basically everything just now connects smoothly because the planning was done upfront instead of guessing while building. Every step had a clear purpose which then made the whole process just faster and more reliable. I know that the app is already working, but there is still a lot that we can do inside Base 44 to improve it, to launch it properly, and actually start growing it without relying on other tools. Now, one of the first things that you can look into is the [music] security side. Base 44 has a built-in security scanner that automatically checks your app for any potential vulnerabilities. So instead of going through everything manually or needing technical knowledge, rather it just reviews your app for you and suggests fixes that you can apply right away. And this makes it much easier to make sure that your app is safe and ready before real users start even using it. And when it comes to publishing, B 44 removes a lot of the usual complexity. You can deploy your app on the web with a single click and it instantly gives you a live URL. There's no need to set up hosting or configure servers or deal with deployment pipelines like you normally might would on other platforms. And for mobile apps, it goes even further because B 44 can generate native iOS and Android builds for you already packaged and ready for app store submission. You don't even need to use tools like Xcode or Android Studio. And you definitely don't need any mobile development [music] experience at all to get your app published. So another useful feature is the built-in analytics. Instead of integrating another third-party service, B 44 already just tracks things like user activity, page views, and overall engagement. And then this gives us immediate insight into how people are interacting with our app, which then helps us understand what's working and what might need a bit more improvement. >> [snorts] >> There's also the social content page which is designed to help you promote your app. So instead of figuring out what to post or how to market it, Base 44 again can generate content just tailored specifically for your app that you can use for social media right away. And [music] if you want your app, say to feel more polished and professional, you then also have the option to connect your own domain or purchase one directly within Base 44. This [snorts] helps turn your app into something that just looks a lot more like a real product instead of just a generated link. So all of these features are available inside the preview section of Base 44. And once your app is built, you can then use them to handle security, publishing, analytics, and promotion all in one place, which makes again the entire process just that much more efficient. So you now have seen the full process, right? from planning the app and structuring it properly all the way to building and improving it. So, what really makes the difference here isn't just the tool, but how you approach building with it. And one of the biggest takeaways here is [music] starting with a clear purpose. When you understand exactly what your app is supposed to solve, then every feature you add has a reason behind it. And then from there, breaking everything down into smaller [music] parts just makes the whole process much easier to handle instead of trying to build everything all at once. It's also important to focus on the core functionality first. [music] So get the main features working before even thinking about design tweaks or extra additions. And along the way, using clear and specific prompts gives much better results compared to vague instructions. And testing each feature as you go prevents small issues from turning into bigger problems later on. Now, another thing that saves us a lot of time is using the platform's builtin [music] features. And I'm talking about authentication, database handling, and AI integrations. Those are already available, so there's no need to rebuild those from scratch or add another third party [music] service. For more advanced workflows, plan mode is useful when you're dealing with features that aren't straightforward. It allows the AI to ask questions to you first and fully understand what you are trying to build before generating anything. So being specific about your data structure in prompts also avoids issues later when your app starts handling even more information. It's also important here to think about mobile responsiveness [music] early on instead of trying to fix it later on and to leave things like authentication and monetization towards the end. So then that your core features that those are already stable and then as you build more apps and you start saving more prompts that work well then you can speed things up a lot. You can reuse them as a starting point instead of just figuring everything out from scratch each and every time. And then on the other side there are a few common mistakes as well that slow people down. Trying to build everything again in one large prompt usually leads to confusing results that are hard to fix. Skipping testing [music] between steps makes issues harder to trace later on. Using unclear instructions like make it nice often produces inconsistent outputs. [music] Ignoring how your data is structured early on also can create bigger problems once your app really grows. And adding way too many features before the core features is even working leads to apps that just break and then need to be rebuilt all over again. and keeping things simple, building step by step, and being clear with your prompts is what really makes the whole entire process smooth and reliable. All right, so that's it for this one. If you actually followed along, thank you so much because you should now already have something [music] working or at least know exactly how to build it without getting stuck halfway through. So try it out with your own idea next, and that's where this really starts [music] to click. And yeah, I'll see you at the next one.

Sur le même sujet : AI Coding