Target
On a browser step, a live preview of what your app should look like and do once the step is done, made from your own first version. A server step has no picture to aim at, so its checks show what done means. You never have to guess.
Your idea · your project · your curriculum
Describe your app. We build a small first version you can read end to end. Explore it, change it, then rebuild it yourself, one step at a time, with a lesson, a tutor and a check for every step.
Already writing code? The second climb, coming soon: data structures, design patterns and complexity, measured on the code you wrote.
A product of AppKrafterrz — a product studio from India.
We build a small first version for you. You explore it, change it, then rebuild it yourself with a plan and an AI that tracks how close you are.
Turning Pocket Ledger into steps you can build one at a time.
Nothing here yet. Add your first expense.
The AI's version is what you aim for, not what you hand in. You rebuild it yourself, and every step is checked against it.
Your version is the goal. Rebuild it step by step; the path keeps going.
Your path is chosen from a graph of 128 concepts, each linked to the ones it needs first. It skips what you already know, keeps steps to a few hours each, and names every step after your own app. The same project carries on to a server, then a database and accounts.
Stuck? The tutor sits next to your code the whole time. It sees your files, points at your exact lines, and gives hints one at a time, from a nudge up to an example. It never edits your files.
Right now the form accepts anything, even nothing. This step is about trusting your data: read the amount as a number, refuse what makes no sense, and tell the person why. Three ideas: Number(), the submit event, and returning early.
amount when the box is empty? Try Number("") in the console, then decide what your code should do with that.On a browser step, a live preview of what your app should look like and do once the step is done, made from your own first version. A server step has no picture to aim at, so its checks show what done means. You never have to guess.
Written for your app and your code, in plain English: why the step matters, the two or three ideas it needs, and what to do. No code to copy.
Ask anything. It starts with a nudge, then the idea, then a small example, then the shape of the answer, and the full code only when you ask for it after trying. You type it yourself. It points at your exact lines and never edits your files.
Press Check and the studio tests what you built: it opens your page in a real browser, or starts your server and calls it. You see what passed and what is still missing.
Start in the browser, add a server, add a database and accounts. Server steps run in a private workspace of your own: Node or Go, a terminal, git, your own MongoDB, and a web address where your server answers.
Then go deeper on the same code: The second climb AdvancedComing soondata structures, design patterns, and time and space complexity, measured on the app you built.
Coming soon, and not built yet. This is the plan: once your app has a server and data, the next level puts an agent inside it. You say "add forty rupees for chai" and the expense appears. The AI writes that first version into your own code; you lock it in and rebuild it yourself.
No framework doing it for you. You will write the conversation, the reply as it streams in, your first tool and the loop that keeps going until the job is done, all by hand. Then the parts most tutorials skip: asking before it changes anything, recovering from errors, remembering across a reload, and standing up to data that tries to trick it.
The model will be the studio's: no API key to buy, nothing to install, and every call counted, so you will learn what a task costs instead of finding out on a bill.
Planned: fourteen steps from a single AI call to an agent with memory and safety checks, each built in your own app.
Every action your agent takes, and every reply, will show up as cards, live, as it runs.
Checks will grade what your agent actually did, not what it claimed: the expense was saved, it asked before changing anything, and it refused a trick hidden in the data.
Your workspace will reach the studio's model and nothing else, and the key will never leave the studio.
The advanced climb, and worth taking once your app works. Your app works with ten items; does it work with twenty thousand? Coming soon, and not open yet. This is the plan: each concept taught on the app you built, measured on the code you wrote, and put to you by an interviewer.
59 concepts in five subjects, across the same three levels. You will pick the ones you came for — design patterns, complexity, data structures — or take the essentials and let the order look after itself.
Nothing here will be a puzzle. Your own app will be given more data, or asked for its next feature, until the simple version starts to hurt; the idea that fixes it will be shown on your own lines, and the same thing measured again after you change it. Data structures and complexity will be timed; a design pattern will be measured by what the next feature costs it, in the lines it changes; memory will be taught, not measured.
Any concept will be able to end in an interview: first about your own change, then, for most concepts, a classic interview problem reached through the feature you built. There will be no problem list to grind. Once you have finished a measured step, a mock interview on the whole project will open; you answer in writing, the way you would say it in the room, and keep the written summary.
So the studio says at least 198 times faster and no more: the new version was too fast for the clock to measure.
Never programmed. You get the plain HTML, CSS and JavaScript path, small steps, and a first win in the first session.
You know the basics but have not shipped a full app. Skip what you know; the path starts where your gaps are, and you finish able to explain every line in an interview.
Bring your own domain: a tool for the shop, the clinic, the classroom. The project is the portfolio.
You can already build things, and want what a serious interview digs into. Build your app here now; the second climb, coming soon, takes it apart for its data structures, patterns and complexity, measured on your own code.
AppKrafterrz is a product studio from India, building its own products one domain at a time. Kalvi360, an AI-native operating system for schools, is live. Build to Learn Studio is the second, and it is in public beta.
No client work and no outsourcing: the people who plan the curriculum are the people who write the code, so what you tell us shapes what ships next.
appkrafterrz.comOne payment opens the studio and covers your first 6 projects. After that, buy a project whenever you want one. AI projects, with the agents path and its AI calls included, are coming soon: their prices are below, but they cannot be bought yet. No subscription, and nothing renews.
One project, the phase in the browser, with the AI to build it. To start it, your bank puts a ₹1 hold on a card, to tell one person from a thousand sign-ups; the hold is released by your bank and never charged.
The AI comes as a budget with the project, and your project shows how much of it is used; it does not reset. The free build stops where the server phase begins, or when its budget is spent. Either way everything you made stays, and studio access carries on with the same project.
1 more project, whenever you need it.
Bought from your account, any time.2 more projects, whenever you need them.
Bought from your account, any time.1 project with the agents path and 750 AI calls included.
Coming soon. Bought from your account when it opens.2 projects with the agents path, 750 AI calls each.
Coming soon. Bought from your account when it opens.Launch prices, in Indian rupees. Payments go through Razorpay.
An expense tracker, a habit board, a tool for your family's business, a clone of the app you use every day. Bring the idea; the curriculum follows.
₹6,999 once at launch, normally ₹19,999. Nothing to install, nothing renews.