01
Understand what happens inside
While the AI works, it explains what it is doing in plain words—"Building the screen now," "Writing the database blueprint." Every technical term that comes up gets an explanation with an everyday analogy.
Hands-on AI development for executives and managers
Let AI build it, and understand how it works inside.
Ask the AI built into KASANE—in plain words—to build a business system. While it works, you see what it is building and which technologies are doing what, with gentle explanations along the way. Try what it built, submit it, and get back results on three layers plus learning cards.
No coding required. Built for executives, managers, and business professionals who want to grow. Engineers are welcome too.
- Ask the built-in AI in plain words
- Runs in a safely isolated environment
- Run for real, graded on 3 layers
- 3
- Grading layers
- Plain words
- to ask the AI
- 100%
- In your browser
WHAT YOU GET
Don't just get it built—come away understanding it.
Now that AI can build business systems, what executives and managers need is not the ability to write code. It is understanding what the AI is doing inside, and from there, judging what to ask for and what to check.
02
Get real experience having AI build something
Have the built-in AI build a small business system from scratch. Asking, testing, and getting it fixed on your own gives you a foundation for talking about AI development in your own words.
03
Check what AI builds
Once you understand how it works, you can see where to look: whether other people's data is exposed, whether approvals are recorded. When you review what your team or vendor built with AI, you'll know what to ask and where to check.
Inside the AI
See what the AI is doing, explained in plain words.
The AI's work is never a black box. The work log shows which part it is building right now—Screen, API, Database, Login & permissions. Every technical term that comes up gets a plain explanation with an everyday analogy, and if you want to know more, you can ask the AI right there.
Illustrative screen.
See what it's doing now
The work log shows which part the AI is working on—screen, API, database, login and permissions—so you can follow along without reading code.
Plain explanations for every term
Technologies that came up in your request—API, database, authorization—are listed and explained with everyday analogies.
Not sure? Ask the AI
Use "Ask the AI for more" to learn how a term is used in this very system, with the real files on screen.
FOR YOU
Who it's for
KASANE is for people who know the business and make decisions. No programming experience needed. One problem takes about 90 minutes, and you can work through it over several sessions at your own pace.
Executives and board members
For those who hear "AI can cut development costs" and want to judge the risks for themselves. Gain hands-on criteria for investment and vendor decisions.
Department heads and managers
For those who must decide whether to approve tools their team built with AI. Learn exactly what to ask in a review and where to check.
Business professionals who want to grow
For those who want to turn the friction in their own work into a system by asking AI. Learn how to ask and how to check, and become the bridge between business and development.
PRACTICE
Ask. Check. Get it fixed.
You learn not how to write code, but—knowing what the AI is doing inside—what to tell it, what to check, and when to stop. You build that skill by actually having AI build, reading the explanations of its work, testing it, and getting results back.
Example problem: an expense claim system
The AI says "Done." But should you approve it as is?
Example request: Build a system where employees submit expense claims and their managers approve or return them. Applicants can see only their own claims, and managers can see only their direct reports' claims.
What we check by actually running your submission (excerpt)
- 1. Behavior: Do submit, approve, and return work as the acceptance criteria say?
- 2. Business pitfalls: Can an approved claim be edited afterward?
- 3. Key checkpoints: Can someone see another employee's claim just by changing the URL?
Every failed item comes with a learning card
Other employees' expense claims are visible
- Why a person needs to check this
- AI often checks whether someone is logged in, but not whether the claim actually belongs to them.
- How to check it yourself
- Log in as a different employee and open someone else's claim directly.
- How to ask the AI to fix it
- "Only the applicant and their manager should be able to view or edit a claim. Don't show it to anyone else."
This example illustrates how you learn. See the practice problem list for the details of each problem.
Ask
Who uses it, who may see what, and in which state must things stop changing? Read the request and acceptance criteria, then ask the AI in business language.
Tip: decide "who, what, and in which state" before you ask.
Check
Try the finished system in the preview, and test it from another person's point of view too. Learn that "it works" and "it's safe to hand over" are different things.
Tip: hiding something on screen does not mean it can't be seen.
Get it fixed
For each failed item, a learning card explains why it matters, how to check it, and how to ask the AI to fix it. Have the AI fix it and resubmit as many times as you like.
Tip: describe what you want fixed in concrete business terms.
Preview
What you ask for runs right in your browser.
Ask the built-in AI in plain words, and it builds the business system—ready to try in the preview next to it. Submit a claim, log in as someone else, and check it with your own hands before you submit.
Just ask in plain words
Tell the AI what to build and what to fix, in business language. No coding required.
Try it with your own hands
The finished system really runs, including saving data. Use the screens and test them from another person's point of view.
Safe to break
It runs in your own isolated environment. Rebuild as often as you like without touching any business data.
3-Layer Evaluation
Don't stop at "it works." Grading in three stacked layers
The name KASANE comes from the Japanese tradition of layering colors. We actually run your submitted system and check it in three stacked layers: behavior, business pitfalls, and key checkpoints.
1. BehaviorPublic
Does it work as the acceptance criteria say? You can read the acceptance tests in the problem
2. Business pitfallsHidden
Are business rules respected, such as approved claims not being editable?
3. Key checkpointsHidden
Security and governance: other people's data stays hidden, input fields can't be abused, password handling, approval records, and more
Passing all of layer 1 is required. The more of layers 2 and 3 you pass, the higher your overall rank
Features
What you can do with KASANE
Request
Built-in AI
Business system
Have AI build a business system from scratch
Based on a request and acceptance criteria written in business language, ask the built-in AI in plain words to build a working system from the ground up.
12/16
Graded by actually running it
We actually run the system you submit and grade it against the acceptance criteria and hidden checks.
Three-layer grading
Behavior, business pitfalls, and key checkpoints show how far the system can be trusted.
Learning cards
For each failed item: why a person needs to check it, how to check it yourself, and how to ask the AI to fix it.
Everything in your browser
No development setup and no AI subscription needed. Open your browser and start.
Six points AI tends to miss
Who may see what, whether input fields can be exploited, how passwords and keys are handled, approval records, how data is handled, and cutoff dates and state changes. Problems walk you through checking, one by one, the places people must verify when AI does the development.
HOW IT WORKS
Read, ask, check, and get it fixed.
Read the request and acceptance criteria
Each problem comes with a request written in business language and the acceptance criteria to meet. The criteria are provided as acceptance tests—automatic checks that the system works as described—and you can read them in the problem. Start by understanding what to build.
Ask the built-in AI in plain words
Ask the AI built into KASANE in your own words. The AI builds the business system from scratch. As it works, you see which part it's building—screen, database, and so on—with plain explanations of the technologies that come up. No coding required.
Try it in the preview, then submit
Operate the finished system in your browser and check that it does what you asked. When you're satisfied, submit. We run it for real and grade it on three layers.
Read the learning cards and get it fixed
Each failed item comes with a learning card. Understand why a person needs to check it, ask the AI to fix it, and resubmit.
Asking the AI, checking in the preview, grading, and learning cards all happen in your browser. No development setup, and no need to sign up for or configure an AI service yourself.
FAQ
FAQ
Can I use it without programming experience?
Yes. In KASANE you ask AI in plain words to build the system, so you never have to write code. What the AI is doing and which technologies it uses are explained gently as it works. Code is available only for those who want to look.
Can engineers use it?
Yes. The screens and explanations are written in plain words for executives and managers without programming experience. Engineers will find it useful for organizing what to look at in AI development, and for finding words to explain how systems work to non-engineers.
Which AI does it use? Do I need my own subscription?
KASANE uses its built-in AI. You don't need to sign up for or configure an AI service yourself.
What does grading check?
Three layers. 1. Behavior: does it work as the acceptance criteria say (you can read the criteria in the problem). 2. Business pitfalls: business rules such as approved claims not being editable (hidden). 3. Key checkpoints: security and governance, such as other people's data not being visible, input fields not being exploitable, password handling, and approval records (hidden).
Can I use what I build here in my business as is?
The exercises are a place to practice asking AI and checking its work. Grading checks the conditions defined for each problem and does not guarantee overall safety. Before introducing anything into real operations, review it against your organization's security and governance rules.
Let AI build it, and understand how it works.
Ask, watch it work, try it, and check. Experience the full loop with a practice problem.