DEV Community: Baint Computer 🌏🌱📚

Week 32: Learning From the Students Who Are Already Finding Their Way

Baint Computer 🌏🌱📚 — Sun, 04 Oct 2026 06:59:54 +0000

One thing we are learning while building BAINT is that we cannot only look for students who are struggling

We also need to learn from students who are already finding ways to understand difficult subjects

That might actually teach us just as much
Recently, we spoke with a Biochemistry student about how she experienced the course when she was in 100 level
We asked a simple question
What made Biochemistry easier for you to understand compared to other students?

Her answer gave us something important to think about
She said one thing that helped her a lot was that she did not depend only on what the lecturers taught

She made sure to research the topics herself to get more clarity

That sounds simple
But there is something deeper inside that answer
The student was not waiting for one explanation to be enough

When the lecture did not provide everything she needed, she looked for another way to understand the topic

She researched
She compared information
She looked for more clarity
She kept learning outside the classroom

That is a learning behaviour we want BAINT to understand better

Students do not all learn from the same place

Some students depend heavily on classroom explanations
Some use textbooks
Some search online
Some watch YouTube videos
Some ask classmates
Some use AI
Some combine several of these approaches
And some students develop their own learning methods over time

The interesting question for us is not simply
"What does a student find difficult?"
We also want to ask
"What does a student who understands well do differently?"
That changes how we think about building BAINT

If a student already knows how to research a difficult concept, BAINT should not simply give them another generic answer

It could help them organise what they find
Break a difficult concept into smaller parts

Compare different explanations
Connect theory to practical examples

Test their understanding
Or help them identify what they still do not understand
The goal is not to replace the student's own learning process
It is to support it

We are also learning from how students ask questions

This has become one of the biggest things we are testing in the BAINT demo

A student might start with a broad question
"Explain biomolecules"
Then ask
"What are their building blocks?"
Then
"What about proteins and enzymes?"
Then
"What about carbohydrates?"
Those questions are not separate questions
They are part of one learning process

The student is moving from the general concept into specific parts and then deeper into the subject

That means BAINT needs to understand the conversation
It needs to know what the student is referring to
It needs to avoid repeating an explanation that has already been given

And it needs to understand when the student is asking for a deeper explanation, an example, an application or a completely different way of understanding the same concept
We recently found this problem while testing the demo with students

At first, some follow-up questions returned almost the same answer

That was a problem
A student should not have to keep changing the wording of a question just to make an AI understand that they are asking about a different part of the topic

So we started working on that
The demo is still early, but these tests are helping us understand what BAINT actually needs to become

We are not only looking for problems

This is an important change in how we are doing our research
We want to learn from students who are struggling

But we also want to learn from students who are doing well

What do they do when they do not understand something?
Where do they search?
How do they know when they finally understand?
Do they learn differently from their classmates?
What habits helped them become better?
What did they wish they had known earlier?
These questions can teach us how students develop their own ways of learning

And that can help us build BAINT around real learning behaviour instead of assumptions

BAINT is still being built
BAINT AI Classroom Assistant is still in the testing and development stage

We are talking to students
Testing the demo
Collecting feedback
Studying how students learn
And changing parts of the product when the feedback shows us that something is not working well enough

We are not trying to pretend that everything works already
There are still many things we need to figure out

That is part of building from the ground up
The more students we talk to, the more we understand that the real challenge is not simply giving students access to information

It is helping them find a way into that information

Sometimes that means a step-by-step explanation
Sometimes it means a practical example
Sometimes it means a visual explanation
Sometimes it means connecting a new concept to something the student already understands
Sometimes it means helping a student research better
And sometimes it simply means listening to the question carefully before answering
We are still looking for hardware support

There is also something practical that would help us move faster

We are still looking for a better laptop or development device for BAINT

Right now, a fairly used laptop would still make a meaningful difference

We are building, testing, researching and updating the demo regularly, and better hardware would help us work faster and test more comfortably

We are not looking for anything fancy
If someone has a fairly used laptop that they no longer need and would be willing to support BAINT with it, we would genuinely appreciate the help

If you know someone who may be able to help, connect us
You can reach us at:
baintcomputer@gmail.com
This is not separate from the work

It is part of the journey
We are trying to keep building with what we have while also being honest about what would help us do better

What comes next
We want to keep speaking with students from different backgrounds

We want to understand both the students who struggle and the students who have developed strong ways of learning

We want to keep testing how BAINT handles real conversations

We want to improve how it understands follow-up questions

We want to explore different ways of explaining the same concept
And most importantly, we want students to continue influencing what we build
Because BAINT should not be built around what we think students need
It should be built around what we learn from them

We are still early
But every conversation gives us something new to think about

Still listening
Still learning
Still connecting
Still building
BAINT 🌱📚

Lebel Bros
Founder, BAINT Computer

Week 31: What Students Actually Need From BAINT and the Latest Update in Our Journey So Far

Baint Computer 🌏🌱📚 — Sun, 27 Sep 2026 07:46:16 +0000

Building has taught us something we did not fully understand when we started

Students do not always need more information
Sometimes they need a different way to understand the same information

That difference has become more obvious as we have continued talking with students, testing ideas, and putting the BAINT demo in front of real people
What students have been showing us

Through our conversations with students from different academic backgrounds, we keep seeing different kinds of learning difficulties

Some students struggle because explanations move too quickly
Some understand the theory but struggle when they have to apply it practically
Some need diagrams or visual explanations
Some need a concept broken into smaller steps
Some need context before the concept makes sense
Others simply need the same idea explained in a completely different way

This has changed how we think about BAINT
The goal is not to make BAINT give longer answers
The goal is to understand what kind of help the student actually needs

A student struggling with a mathematical calculation may need a step by step solution
An engineering student may need a practical example
A student studying a biological structure may need a visual explanation

A history student may need the events connected through context and sequence

The answer alone is not always the solution
The way we reach the answer matters too

The latest update in our journey
BAINT is early,testing
talking to students
Also learning from people who use or see the demo
And some of the things we have built are also being reconsidered

We are learning that building an AI learning assistant is not about adding as many features as possible
Sometimes the right move is to remove something
Sometimes the interface needs to become simpler
Sometimes a feature sounds useful when building it, but becomes less important after listening to students
That is part of where we are now

We are taking what students have told us and using it to decide what BAINT should keep, what should change, and what should come next

We are not trying to pretend that everything has already been figured out

We are trying to keep learning until we get closer to something that genuinely helps

We are also looking for better hardware
One practical challenge we continue to face is the device we use to build BAINT

We are building with limited resources, and having a better development device would help us move faster with testing, development and the next stages of the product

So if anyone has a fairly used laptop or development device that they no longer need and would be willing to support the work with, we are open to hearing from you

It does not have to be new
What matters is having something reliable enough to help us build and test faster
If you are someone who believes in what we are trying to build and would like to support BAINT in that way, you can reach us at

baintcomputer@gmail.com

What comes next
For now, we are staying close to the students
More conversations
More testing
More learning
More improvements to the demo
More connections with people building in education and technology

And more work behind the scenes
We are still figuring out exactly what BAINT should become

But the direction is becoming clearer
Students need different ways into the same concept
And that is something we want BAINT to understand better

We started BAINT because we believe having information is not the same as understanding

That belief has not changed
If anything, the students we have spoken with have made it stronger

Still listening,learning,connecting
And building

BAINT 🌱📚
Lebel Bros
Founder, BAINT Computer

Week 30: Learning What Comes Next for BAINT

Baint Computer 🌏🌱📚 — Sun, 20 Sep 2026 19:07:53 +0000

30 weeks

It feels strange to write that

When we started building BAINT, we thought a lot of the work would be about building the product

Write code
Test ideas
Improve the interface
Build something students could use

But 30 weeks later, we are learning that building the product is only one part of the work

A big part of the work is understanding what should come next

We have been quieter lately

If you have been following BAINT, you may have noticed that we have not been posting as much as before

We have not given up

We have not stopped building

We have not lost interest in BAINT

We have simply been spending more time away from the timeline

More conversations with students

More listening

More research

More thinking about what we have learned so far

And more time trying to understand where BAINT should go next

Sometimes the most important work does not produce a post

We are still talking to students

Student conversations remain one of the most important parts of our journey

Every conversation continues to show us something different

Some students need concepts broken down

Some need practical examples

Some struggle with memorization

Some struggle because the teaching method does not work for them

Some understand the theory but struggle when they have to apply it

Some simply need another way to look at the same concept

These conversations continue to shape how we think about learning

The more we listen, the more we realise that the problem is bigger than simply giving students access to information

We are also meeting other builders

Another thing we have started putting more energy into is networking

We are trying to meet other educational builders

People working on EdTech

People building AI products

People thinking about education from different angles

People who have already gone through some of the problems we are beginning to face

We do not expect every conversation to lead to something immediately

Sometimes the value is simply learning how another person thinks

Sometimes one conversation can change a direction

Sometimes it can show you that a problem you thought was unique is actually something many builders experience

We want to keep having those conversations

We are also looking for the right tools

Another part of our journey right now is hardware

We have been building and researching with the tools we currently have, but there are limits to what we can do without a proper laptop and better gadgets

We are currently reaching out and trying our best to find people or organisations who may be willing to support us with a laptop or useful gadgets that can help us build, test and improve BAINT

We are not sitting around waiting for someone to save us

We are asking

We are reaching out

We are exploring different opportunities

And we are doing everything we can with what we have

A better laptop would not simply be a comfort for us

It would be another building tool

It would help us develop faster, test more properly and take BAINT further

If someone is willing to support us with suitable hardware, we would genuinely appreciate it

You can reach us at

baintcomputer@gmail.com

We are still doing our best to build with what we have

And we are still looking for ways to build better

What comes next for BAINT

This is the question we are spending more time thinking about

What should BAINT become

What should we improve

What should we remove

What do students actually need from us

What can we build that is genuinely useful

And perhaps most importantly

What have we learned that should change the way we build

We do not want to build features simply because they sound good

We want the next stage of BAINT to come from what we have actually learned

From students

From testing

From conversations

From mistakes

From other builders

From the work we have already done

We are not rushing

There is always pressure when you are building something

You see other startups launching

You see founders announcing users

You see products raising money

You see people moving quickly

And sometimes you start wondering if you are moving too slowly

But we are learning that moving quickly is not always the same thing as moving in the right direction

We would rather understand the problem better than rush into building something students do not need

We would rather have real conversations than pretend we already know everything

We would rather keep learning than build around assumptions

30 weeks later

We are still early

BAINT is still growing

We are still testing

We are still learning from students

We are still meeting people

We are still trying to understand the education space

And we are still figuring out what comes next

That is what Week 30 is really about

Not having all the answers

But being willing to keep looking for them

Having information is not the same thing as understanding

And maybe building BAINT is teaching us the same lesson

Having an idea is not the same thing as knowing what to build

You have to listen

You have to test

You have to learn

Then you build again

Still here

We may post less sometimes

We may disappear from the timeline for a while

But that does not mean the work has stopped

There is still a lot ahead

More students to talk to

More builders to meet

More things to test

More lessons to learn

More people to connect with

And more work to do

30 weeks down

We are still learning what comes next for BAINT

Still listening

Still learning

Still connecting

Still building

BAINT 🌱📚

Lebel Bros

Founder, BAINT Computer

Together, BAINT is more

Week 29: Why We Keep Building BAINT

Baint Computer 🌏🌱📚 — Sun, 13 Sep 2026 10:08:07 +0000

There is a simple reason we keep building BAINT

We keep meeting students who are trying to understand

Not just find an answer
Not just copy a solution
Not just get through an assignment

They are trying to understand what they are learning and sometimes the problem is not that the information does not exist

The problem is that the information does not reach them in a way they can understand

That is where our journey with BAINT started

Why are we building BAINT
The idea behind BAINT did not come from believing that students have no access to information

Students already have access to Google

They have YouTube
They have notes
They have teachers
They have friends
And now they have many AI tools

The problem we keep seeing is what happens after the information arrives

A student can receive a correct answer and still be confused

A student can read an explanation and still not understand the concept

A student can know the formula and still struggle to know when and how to use it

A student can understand one teacher and struggle with another teacher teaching the same subject

These experiences keep pushing us to ask a different question
What would an AI classroom assistant look like if its job was not simply to give students answers but to help them find a way to understand
What is BAINT actually useful for

BAINT AI Classroom Assistant is being explored around that gap

A student should be able to bring a difficult concept and get help working through it
That help could mean breaking a concept into smaller parts
It could mean explaining something step by step
It could mean using a simpler explanation

It could mean approaching the same concept from another direction

It could mean connecting theory with practical examples

It could mean helping a student interpret what they are seeing

The important part is not simply generating more information

The important part is helping the learner move from information toward understanding

But there are already learning AI tools

Yes
There are already AI tools designed to help people learn
We do not want to pretend otherwise

BAINT is not being built because nobody has thought about AI and education before
We are building because our conversations with students keep showing us questions that we believe are worth exploring
Why does one explanation work for one student but fail for another

Why does changing the teaching method sometimes completely change a student's experience
Why do some students need practical demonstrations instead of more theory

Why do some students need a concept broken down before they can even begin solving the problem

These are the things we keep listening for

BAINT is our attempt to explore what an AI classroom assistant can do around those problems

Two more student conversations
This week gave us two more conversations to learn from
One student told us about

Mathematics and how a change in teaching approach completely changed their experience with the subject

A replacement teacher came in for only a short period and the student found Mathematics easier to understand because of the way the teacher explained and engaged with the class

That conversation reminded us that sometimes students are not simply struggling with the subject

They may be struggling with the way the subject is being taught

Another student studying Engineering Mathematics IV and MATLAB pointed us toward a different problem
The theory was being taught but the practical side was missing

The student was not saying that solving the work itself was impossible

The bigger problem was not seeing enough practical demonstrations
Two students
Two different situations
But both conversations point toward the same bigger question

Understanding is affected by how knowledge is presented and how learners interact with it
Why we keep talking to students

This is why we have continued the conversations
Every conversation gives us another piece of the problem

Sometimes a student confirms something we already suspected
Sometimes they completely change the way we think about something

And sometimes they show us that the problem we thought we were solving is not actually the problem

We would rather discover that now than build something for months based on an assumption
We are still building

There is also something practical we need to be honest about

Building BAINT seriously requires better tools
The phone has helped us come this far

We have researched with it
Written with it
Talked to students with it
Shared our work with it
Tested ideas with it

But there is a point where the limitations become real
We need a proper laptop or suitable gadget to build and test BAINT more seriously
This is not about getting a gadget simply because it would be nice to have

It is a building tool
Better hardware would make it easier to work with the code
Test the product

Investigate problems
Make changes
Run experiments

And continue turning what we are learning from students into something useful

We are still looking for support with the hardware needed to keep building
Email

baintcomputer@gmail.com

Three students are already asking

Something else happened while we continued this journey

Three students have already asked about getting a free trial when BAINT AI Classroom Assistant becomes live

We are not treating that as proof that everything is solved
It is not

BAINT is still being built
But it matters

Because these conversations are beginning to move beyond people simply telling us about their problems

Some students are now asking when they can actually use what we are building

That gives us another reason to keep listening

Why we keep writing

We have now reached Week 29

We keep writing because building is not only about writing code

It is also about documenting what we are learning
The student conversations
The problems
The mistakes

The things that change our thinking

The questions we still cannot answer

We want these weeks to show the process behind BAINT

Not a perfect startup story
Just the real process of trying to understand a problem deeply enough to build something useful

Still listening
We are still researching
We are still talking to students
We are still learning
We are still testing
We are still building

The reason has not changed
Having information is not the same thing as understanding
And that is why we keep building BAINT

BAINT 🌱📚
Lebel Bros
Founder, BAINT AI Classroom Assistant
Together, BAINT is more

Week 28 – Understanding Is Not Always About Explaining More

Baint Computer 🌏🌱📚 — Sun, 06 Sep 2026 16:15:15 +0000

Every week we continue having conversations with students about their learning experiences

Different departments
Different courses
Different challenges

But sometimes completely

different students can reveal something connected

This week two conversations made us think differently about understanding

One student was studying Surveying and Geoinformatics
Another was studying Industrial Design with Mechanical Engineering as part of the program

Their challenges were completely different

But their experiences pointed towards something important
Sometimes the problem starts with the foundation

The Surveying and Geo informatics student told us that Adjustment Computation was difficult because of the calculations

Remote Sensing brought another challenge because it involved software and technical tools
When asked what helps them understand better the answer was simple

Understanding the basics first
And having someone explain it clearly

That made us think
Sometimes students are introduced to more complex topics while still struggling with the foundation beneath them

The next explanation might be correct

The lecturer might explain everything properly
The textbook might contain all the information

But if the student is missing something from the beginning adding more information might not solve the problem

Sometimes understanding needs to start earlier
Sometimes students need to go back

Sometimes students need to see what they are trying to understand

Another student studying Industrial Design told us that 3D Modeling was one of the most difficult things to understand

We asked what frustrated her the most

Her answer was clear
Visualizing the object

She explained that what would help her understand better was seeing a step by step

demonstration and having the object explained from different angles

This was interesting
The challenge was not simply learning the software
It was not simply following instructions

The student needed help seeing what she was expected to create

That is different from just giving more explanations
Sometimes the learner needs another perspective

Sometimes they need to see the process

Sometimes they need to move through it step by step
More explanation is not always the answer

These were two completely different learning experiences
One student needed a stronger foundation

Another needed a better way to visualize

But both experiences made us think about the same thing
Understanding is not always about explaining more

Sometimes students already have information in front of them
Sometimes they have lecture notes
Sometimes they have videos
Sometimes they have textbooks

But something is still missing
The starting point might be too advanced

The explanation might skip important steps

The student might be unable to visualize what is being discussed

The information might be correct but the way it is presented may not connect with how the student understands

This is why we keep listening
We are slowly learning that

helping someone understand is not always about making the explanation longer

Sometimes it is about knowing where the explanation should begin

Sometimes it is about showing instead of only telling
Sometimes it is about slowing down

What BAINT is learning
BAINT is still early
We are still researching
We are still talking directly with students

And every conversation continues to teach us something

We do not want to assume that every student struggles in the same way

We want to keep listening
Because better learning might begin with a simple question

What exactly is stopping this student from understanding
The answer may be different for everyone

And that is something worth paying attention to
Latest BAINT Update

20+ people have now joined the BAINT waitlist

Our demo is currently under maintenance and we are working towards getting it back online
BAINT Insight Cards have now reached 020/1000

We are continuing our mission of showing people our demo for testing while speaking directly with students about their real learning experiences

Every conversation is helping us understand more about how students learn and what makes learning difficult for them

Still early
Still listening
Still building

A Small Request for Help
We are currently building BAINT independently while continuing our research with students

Access to better gadgets especially a laptop would help us move faster and continue building from the insights we are gathering

If anyone is able to support us with gadgets that could help us continue building BAINT please reach out to us
baintcomputer@gmail.com
Every bit of support can help move this work forward
The journey continues
We do not have all the answers yet

That is why we keep asking
We keep listening
We keep documenting
And we keep building
One student conversation at a time

One insight at a time
One step at a time
Real Students
Real Insights
Better Learning

🌱📚
Lebel Bros
Founder, BAINT AI Classroom

Week 27: Students Are Creating Their Own Ways to Understand

Baint Computer 🌏🌱📚 — Sun, 30 Aug 2026 19:16:55 +0000

Every week we speak to students, we discover something new

Not because students are all struggling with the same thing

But because every student seems to be finding their own way through learning

Some learn through images

Some need to keep asking questions

Some research from different sources

Some need practical experience

Some take difficult lecture materials and break them down into something they can personally understand

This week reminded us of something important

Students are not always waiting for the perfect way to learn

Many of them are already creating their own ways to understand

One student needed more than attending classes

One of the students we spoke with told us that attending lectures and tutorials alone was not enough

At first, they believed going to classes regularly was all they needed

But eventually they realized that simply being present in class did not automatically mean understanding

They explained that images and physical illustrations helped concepts stay in their mind

After lectures, they created their own personal study time

They used their learning materials to generate questions

And whenever something was unclear, they kept asking until they understood it better

They had discovered something important about themselves

Understanding did not happen in one place

It happened through different parts of their learning process coming together

The lecture

The images

Personal study

Questions

And repetition

Another student created a system around difficult topics

Another student told us about struggling with calculus

The difficulty was not just one part of the subject

The calculations were difficult

The concepts were difficult

The explanations were difficult

Everything felt difficult

They tried using videos to understand but explained that university topics sometimes required something more specific than what they could easily find

So they created their own process

They would take their lecturer's slides and ask an AI tool to explain the material little by little in simpler language

Then they would look at the original lecture material while following the explanation

After understanding both, they would write what they learned in their own words

That process stood out to us

They were not simply looking for an answer

They were creating a bridge between the material they were given and the way they personally understood things

Students are already adapting

This is something we are starting to notice through these conversations

Students are constantly adapting

When one explanation does not work, they search somewhere else

When a video is not enough, they ask questions

When a concept feels too complicated, they try to break it down

When lectures are not enough, they create personal study systems

When they need to remember something, they use practicals, repetition, questions and different forms of research

Students are already doing a lot of work to make education work for them

And maybe that is something we need to pay more attention to

The problem is not always a lack of information

Students have access to more information than ever before

Lecture slides

PDFs

Videos

Websites

Social media

AI tools

Past questions

Friends

Lecturers

The problem is not always finding information

Sometimes the difficult part is turning all that information into understanding

One student may need an image

Another may need a practical example

Another may need to hear the explanation in simpler words

Another may need to ask the same question multiple times without feeling judged

Another may need to connect different explanations before the concept finally makes sense

The information can be available

But understanding can still be missing

This is changing how we think about BAINT

We are building BAINT AI Classroom around one simple belief

Helping students understand should not mean giving every student the exact same explanation

The more students we speak with, the more obvious this becomes

Students think differently

They study differently

They struggle differently

And they create different systems to help themselves learn

We do not want to build something that simply gives answers

We want to continue exploring how an AI classroom assistant can help students find an explanation that makes sense to them

Sometimes that might mean breaking something down step by step

Sometimes it might mean explaining from another angle

Sometimes it might mean using images

Sometimes it might mean asking questions

Sometimes it might simply mean staying with the student until the concept becomes clearer

We are still learning what that should look like

And that is why these conversations matter

We still need more students

We are still looking for students who are willing to share their learning experiences with us

Not because we are trying to collect perfect answers

But because every honest experience helps us see another part of the problem

We want to hear from students who struggle

Students who learn easily

Students who depend on practicals

Students who prefer self study

Students who use different tools

Students who have created their own learning methods

Every perspective matters

Because we cannot build for students while assuming we already understand them

We also still need help

BAINT is still being built with very limited resources

We have continued documenting the journey

Talking to students

Collecting insights

Building and showing our demo

And learning directly from the people we hope to build for

But we still need support to continue developing and testing what we are building

Better hardware and resources would help us continue improving the BAINT AI Classroom and expand our ability to test it with more students

We are not hiding the stage we are in

We are early

We are learning

We are still building

But we are here

And we are not stopping

The students are already teaching themselves

Maybe one of the biggest things we are learning is this

Students are not passive

They are constantly experimenting with ways to understand

They combine lectures with videos

Research with practicals

Slides with questions

AI with their own notes

And explanations with repetition

They are already creating their own learning systems

Our job is not to ignore that

Our job is to listen

To understand

And hopefully build something that can support them better

This is still early

There is still a lot we do not know

But every conversation is helping us see a little further

And for now

We keep listening

We keep documenting

We keep building

The work continues

Founder Lebel ₿ros 🌱📚🚶🏻‍♂️
Building BAINT AI Classroom
From real student experiences

Week 26: The Students Are Teaching Us What to Build

Baint Computer 🌏🌱📚 — Sun, 23 Aug 2026 14:37:27 +0000

This week we did something more important than simply posting about BAINT

We talked to students
We listened to how they learn
What makes studying difficult for them

What helps them understand
What makes them lose interest
And what they do when the normal way of learning does not work for them

The more students we talked to the more we realised something
Students are not just the people we are building BAINT for

They are also teaching us what BAINT should become

Every student had a different story

We started with a simple question

What is the most difficult subject or topic for you
The answers were completely different

One student told us Mathematics was difficult because of the teacher's teaching style

Chemistry was different
There was too much
memorization calculations practicals different branches and the pressure of trying to remember everything while also understanding how to solve and derive things

Another student told us something even more interesting

They had always believed Chemistry was hard
Because of that mindset even when they tried to study they struggled to retain what they read

That made us realise something
Sometimes a student is not only fighting the subject
They are also fighting the way they already feel about the subject

Not every student has a difficult subject
One Software Engineering student told us they could not point to one particular course that was difficult
For them it depended more on their willingness to learn and how relevant the subject was to what they actually wanted to study

That was another important lesson

Students do not all experience difficulty in the same way
One student may need a clearer explanation

Another may need practical examples
Another may need to understand why the topic matters
Another may simply need better guidance

Sometimes the problem is not learning materials
One Biochemistry student told us there were already plenty of learning materials

PDFs
Lecture slides
Notes
Friends who could explain things
The problem was consistency

They often waited until a test or examination was close before studying

They also explained how large classes and stressful classroom experiences sometimes made attending lectures difficult

But what stood out was that the student already understood their own weakness

They wanted to start preparing earlier

They wanted to revise topics after being taught

They wanted guidance
But they also understood that they had to guide themselves and build better habits

Students are already creating their own learning systems
Another student showed us a completely different learning pattern

They use different websites
TikTok
YouTube
AI

They search for different explanations because one explanation may not always be enough
They also told us that practicals help because they learn better when they can see something and actually do something
This raised another important question
When students are using so many different sources how do they know what information to trust
The student told us they compare different websites
When something is completely new they search further or ask their lecturer
Students are already doing their own research
They are building their own learning systems
But the information is everywhere
The guidance is not always there
This is what we keep seeing
Students do not necessarily need more information
Sometimes they need information to make sense
They need to understand the connection between one idea and another
They need to see the practical meaning
They need another explanation when the first one does not work
They need questions to practise
They need guidance when they are stuck
And sometimes they need to hear something explained in a completely different way
This is where BAINT becomes more important to us
We are not trying to build another AI system that simply gives students answers
We are trying to understand what happens between asking a question and actually understanding something

Would this student understand better with a visual explanation

Would another student need a practical example

Would someone else need the concept broken down step by step

Would another explanation make more sense

Does the student need to understand the real life relevance

Does the student need practice questions

Does the student need guidance
These are the questions we are trying to solve

And we let students challenge the system

This is something we want to keep doing

After interviewing students we have also been showing some of them our BAINT AI Classroom demo

We do not want them to simply tell us
This is nice

We want them to challenge it
Tell us what feels wrong
Tell us what feels unnatural
Tell us what is missing
Tell us when the explanation is not good enough

Tell us when BAINT does not understand what they are trying to learn

Because if students cannot challenge what we are building then we are still building from assumptions

The product is becoming a conversation

Every student gives us another piece of the puzzle
One student teaches us about memorization

Another teaches us about practical learning
Another teaches us about relevance

Another teaches us about consistency
Another teaches us about guidance

Another teaches us that having learning materials is not always the same thing as being able to learn effectively

These conversations are changing how we think about the product

Building beyond the demo
There is another part of this journey we cannot ignore

We want BAINT AI Classroom to eventually exist beyond a screen and a prototype
To properly test how students interact with the system especially with voice

different languages and real classroom situations we need the right hardware and resources to keep experimenting

That is why support matters
Not because we want to skip the work

But because the work is already happening

Every conversation with a student gives us something new to build

The right hardware can help us take those ideas from a demo into something students can actually experience

We are looking for people builders organisations and supporters who believe in the idea enough to help us keep building and testing

The goal is to make the technology more accessible to the students we are learning from

We are still early

BAINT is still being tested
The demo is still on
The ideas are still evolving
There are still many things we do not know

And that is exactly why we keep talking to students

We do not want to pretend that we already have the perfect answer

We want to keep learning
We want to keep testing
We want to keep listening
And we want students to have a voice in what we build

The students are teaching us what to build

That is probably the biggest lesson from this week

The future of BAINT should not come only from what we think students need

It should also come from what students experience

What they struggle with
What they discover
What they question
What they ask us to change
And what they tell us after

seeing or using the system
So the work continues
We will keep listening
We will keep building
And we will keep giving

students permission to challenge us

Because the goal is not simply to build an AI that knows more
The goal is to build an AI classroom that helps more students understand

Real students
conversations
experiences
insights
Better learning

The work continues
Founder Lebel ₿ros 🌱📚🚶🏻‍♂️
Building BAINT AI Classroom
From real student experiences

Week 25: What Students Tell Us That AI Cannot See

Baint Computer 🌏🌱📚 — Sun, 16 Aug 2026 13:33:41 +0000

We are building BAINT AI Classroom

But lately, we have been spending less time asking what features we should add and more time asking students what is actually happening when they learn

That change has taught us something important

AI already knows a lot

But knowing a lot is not the same as knowing what a student is experiencing

A student can sit in a classroom and understand nothing even when the information is technically correct

Another student may understand a topic quickly but dislike the way it is being explained

Another may not want AI to explain everything for them at all

These are things we started discovering through conversations

We started talking to students

We have been speaking with students from different departments and asking simple questions

Which course has been difficult

What makes it difficult

What helps them understand

What would make learning easier

The answers have been different

Some students talked about bulky materials

Some talked about fast explanations

Some mentioned memorization

Others talked about teaching styles, assessment methods and the difficulty of knowing what lecturers expect

One Political Science student told us about POS 201

The explanations moved quickly and there was a lot to memorize

At one point, the course was moving on without them

They had to start again while the semester was already coming to an end

They eventually got a B

But getting a B did not mean the learning process was easy

What they wanted most was something simple

Simplified notes

Clear explanations

Step by step support

They also made an interesting point about AI

AI can help, but it will not automatically explain a difficult course in the way a student needs if the student does not know how to prompt it properly

That made us think

Maybe the problem is not simply that students need more AI

Maybe they need AI that understands more about how they are actually trying to learn

Every conversation changes something

Another student told us about a Parasitology course that felt bulky and difficult

The problem was not only the subject

The teaching environment, the amount of material and the way the course was handled all played a role

Another student in Accounting talked about Econometrics and Costing

They explained that some topics became easier when they studied independently or watched videos, but the way assessments were marked created another problem

These conversations are different

But when we put them together, patterns begin to appear

Students are not all struggling for the same reason

That is important

Because if the problem is different for every student, then giving everyone the exact same explanation may not be enough

This is where BAINT becomes interesting

We are not trying to build another AI that simply answers questions

We want to understand the person asking the question

What do they already know

Where did they get stuck

How do they prefer information to be presented

Do they need a simpler explanation

Do they need an example

Do they need a breakdown

Do they need to hear it differently

Or do they simply need the right question asked back to them

We do not have all the answers yet

That is why we are still talking to students

014 out of 1000

We started documenting these conversations through the BAINT Student Insight Cards

Each card represents a real student conversation and one of the things we learned from it

We have reached Insight Card 014

Our goal is 1000

That number is not about creating 1000 graphics

It is about reaching 1000 real student experiences and learning from them

We are also beginning to document recurring patterns through BAINT Student Trends

The Insight Cards show individual experiences

The Student Trends show what begins to appear across many conversations

Together, they are helping us understand the problem before we try to solve it at scale

The edge we have right now

There are many people building powerful AI systems

We know that

We are not pretending otherwise

But our current edge is not having the biggest model or the most features

Our edge is conversation

We can ask students directly

We can listen

We can document what they say

Then we can take those lessons back into the product

That process is slow

But it gives us something we cannot get by sitting in a room and guessing what students need

BAINT started becoming clearer when we started listening

And maybe that is the biggest lesson from this stage of the journey

Before we build for students

We need to understand students

One conversation at a time

We are still early

BAINT is still in the demo phase

We are still interviewing students

We are still improving the AI Classroom

We are still collecting feedback

We are still trying to understand what works and what does not

There are many things we do not know yet

But we believe there is value in continuing to listen

Because students are already telling us things

We just have to pay attention

This is Week 25 of building BAINT

The work continues

Founder Lebel ₿ros 🌱📚🚶🏻‍♂️
Building BAINT AI Classroom
From real student experiences

Week 24:- When Understanding Becomes More Than Memorizing

Baint Computer 🌏🌱📚 — Sun, 09 Aug 2026 14:40:30 +0000

Every week we speak with students from different departments to understand what makes learning difficult for them

This week we had conversations with two Science Laboratory Technology students and both conversations gave us

something important to think about

The first student mentioned Logic Gates, Calculus and Chemistry as some of the topics that can become difficult

What stood out was not only the difficulty of the subjects
It was the amount of formulas
She explained that different formulas can look very similar and that makes them difficult to remember

Her way of dealing with it was mostly reading and cramming
She would repeat the formulas and even talk about them with friends

It helped her understand them to some extent

But there was another problem
After too much stress or after an examination, much of what she had memorized would disappear

That conversation made us think about the difference between remembering something and actually understanding it
The second Science Laboratory Technology student gave us another perspective

She mentioned Chemistry and Physics as difficult areas and pointed mainly to the way they were taught

When we asked what would make calculations easier to understand, her answer was simple
Step by step explanations

She also told us that sometimes she relies on friends to explain things when she does not fully understand what was taught

She understands some of it but still wants to understand more
Two students

Similar fields
Different experiences
But both conversations pointed us toward the same bigger question
Are students really struggling because the subjects are too difficult

Or are they struggling because the way the information is presented does not always match how they understand things

This is one of the reasons we continue talking to students before building the full BAINT product

We do not want to assume what students need

We want to hear it directly from them

Every conversation gives us another piece of the picture
Sometimes the problem is too many formulas

Sometimes it is the teaching style

Sometimes students need a concept broken down step by step

Sometimes they understand enough to pass but not enough to remember what they learned later

For us, this is where the real work begins

BAINT is still in the demo phase

We are showing it to students and teachers

We are collecting feedback
We are interviewing students from different departments
And we are using those conversations to decide what should improve next

The goal is not to make students memorize more
The goal is to help them understand better

Because learning should not end when the examination ends
We are still learning,building
And listening

Built from real student conversations

Never stop building BAINT 🌱📚

Lebel Bros
Founder | Building BAINT in Public

Week 23:- Every Student Sees Learning Differently

Baint Computer 🌏🌱📚 — Sun, 02 Aug 2026 20:45:09 +0000

This week reminded us of something we keep discovering through every student conversation

No two students learn in the same way

A Business Administration graduate shared that the most difficult course throughout university was Research Methodology

It was not because of one single topic
The research concepts felt difficult

Writing the project was challenging

Data analysis was confusing
Everything felt connected and difficult at the same time
Then something changed
After writing a real project the course finally started making sense

That experience made us stop and think

Sometimes students are not struggling because they cannot learn

Sometimes they simply need an opportunity to apply what they have learned

Understanding often grows through experience
Not just through reading
Every interview reminds us that students have different learning journeys
One student struggles with calculations

Another struggles with coding
Another struggles with remembering formulas
Another only understands after doing the work themselves

There is no single learning path that works for everyone
That is why BAINT continues to listen before building

Every conversation helps us understand students a little better

Every insight moves us one step closer to building an AI classroom that adapts to how different students actually learn

Thank you to every student who continues to share their
learning experience with us
Your voice is helping shape BAINT

Built from real student conversations

Never stop building BAINT 🌱📚
Lebel Bros
Founder | Building BAINT in Public

Week 22:- Every Student Conversation Is Becoming Part Of BAINT

Baint Computer 🌏🌱📚 — Sun, 26 Jul 2026 14:05:03 +0000

This week was not about adding another feature

It was about understanding students a little better

Over the past few weeks we have continued interviewing students from different departments

Every conversation has revealed a different learning experience

A Survey and Geoinformatics student told us that calculations become difficult when formula guidance is missing

A Computer Science student explained that writing large amounts of HTML for simple results makes learning feel overwhelming

A Biochemistry student shared that advanced subjects become even harder because learning resources are limited while remembering concepts and equations becomes a challenge
These conversations are

becoming more than interviews
They are becoming part of BAINT

Every interview helps us understand how students experience learning in different departments

Every BAINT Insight Card preserves a real student voice
Every weekly article documents another step in this journey

We are not trying to guess

what students need

We are listening before we build

That approach is slowly
becoming one of the strongest parts of BAINT

Week after week we continue collecting experiences

Week after week we continue learning

Week after week BAINT grows through real conversations with real students

Thank you to every student who has taken the time to share their experience with us

Your voice is helping shape what BAINT becomes

See you in Week 23 🌱📚

Week 21:- Every Student Has Their Own Breaking Point

Baint Computer 🌏🌱📚 — Sun, 19 Jul 2026 11:58:34 +0000

This week reminded us why building BAINT is different

We are not trying to guess what students need

We are asking them directly
One student from Survey and Geoinformatics told us that Adjustment Computation was the hardest course because of the calculations

When we asked what would make learning better the answer was simple

Formula provision

A Computer Science student gave us a completely different perspective

HTML was not difficult because of the concepts

It was difficult because writing one hundred lines of code just to display something small felt overwhelming

These conversations continue to teach us something important

Students are not struggling for the same reasons
Some need clearer explanations
Some need formulas at the right moment
Some need learning broken into smaller steps

The future of education cannot be built around one teaching style

It has to adapt to different ways of learning
That is exactly what BAINT is exploring

Every interview helps us understand students a little better

Every insight helps us build a little smarter

We will keep listening and building

Thank you for following the journey

See you in Week 22 🌱📚