DEV Community: Baint Computer 🌏🌱📚

BAINT Week 37: Keeping the Mission Moving

Baint Computer 🌏🌱📚 — Sun, 08 Nov 2026 10:12:05 +0000

Continuing to reach students, sharing our work and searching for better ways to build

Every week brings another experience to the BAINT journey

Some weeks bring new feedback, others bring challenges, and sometimes progress simply means finding the energy to keep going

Week 37 was a reminder that building something meaningful requires consistency, patience and the willingness to keep showing up

Taking Our Articles to Students

This week, we continued introducing students to the work behind BAINT

On Tuesday, November 3, we shared our weekly article with three students

Our goal is to help more people understand what we are building, why we are building it and the experiences shaping the development of BAINT AI Classroom Assistant

We are gradually creating opportunities to show students not just the product, but also the research, conversations and thinking behind it

We hope to have more opportunities to present the product itself to students again soon

Moving Forward Despite Power Challenges

On Wednesday, November 4, we experienced another interruption caused by a power outage

It delayed our activities, but it did not change our commitment to the work

After power was restored, we returned to what we had planned for the day

Building from a place with limited resources comes with challenges that are sometimes outside our control

Electricity, equipment and access to the right tools can affect how quickly we make progress

But we are learning to keep moving with what is available while looking for better opportunities

Waiting for Another Perspective

Later that Wednesday, we spoke about someone who had shown interest in our work and was expected to share feedback on our article the following day

We appreciate people who take the time to read what we publish and are willing to share their thoughts

Feedback matters because we do not want to build BAINT based only on our own assumptions

We want to understand how other people see the product, what they think could be improved and what advice they can offer

Every perspective gives us another opportunity to reflect

Searching for Builders and Better Solutions

Saturday, November 7, was another day of exploration

Although it was the weekend, we took time to look for other builders and explore more solutions

Building BAINT is not only about writing code or improving the interface

It also involves finding people who understand the challenges of building, exploring different approaches and learning from others who are working on their own ideas

We are still searching for ways to improve our development process and make better use of the resources available to us

What Week 37 Reminded Us

This week reminded us that progress does not always come in the form of a new feature or a major product update

Sometimes it means sharing an article with three students

Sometimes it means returning to work after a power interruption

And sometimes it means spending a Saturday searching for builders, ideas and better solutions

We are learning that building BAINT requires more than technical ability

It requires communication, research, patience and a willingness to keep learning from other people

Moving Into Another Week

As we enter another week, our mission remains the same

We want to continue improving BAINT, reaching students, sharing our experiences and finding people who can contribute ideas, guidance and support

We are still exploring opportunities to present the product to more students and educators

There is much more to do, and we know that the journey will continue to come with challenges

But we are not stopping because every week gives us another reason to learn and keep building

Thank you to everyone who continues to read our articles, share advice, offer feedback and support the journey

Every contribution matters, no matter how small it may seem

BAINT 🌱📚

Together, BAINT is more

Lebel Bros

Founder, BAINT Computer

Week 36: Taking Our Learning Beyond Social Media

Baint Computer 🌏🌱📚 — Sun, 01 Nov 2026 11:03:06 +0000

Moving closer to students, listening to their experiences, and continuing to build

Every week brings something different to the BAINT journey
Some weeks are focused on development, others involve research, conversations, feedback, or sharing what we are building with people who may eventually use it

Week 36 was another reminder that building educational technology requires more than posting updates online

This week, we continued taking BAINT AI Classroom Assistant directly to students and educators, listening to their experiences, and learning from the conversations that happen along the way

Taking BAINT Into Schools
One of the important moments this week was visiting a school to present BAINT to students

Before the presentation, we had a conversation with the school principal
That conversation created an opportunity to introduce what we are building and move closer to allowing students to experience the product themselves

For us, this is an important part of the journey
We want BAINT to be experienced by students, not simply discussed through social media posts

Presenting the product in a school environment gives us another opportunity to explain what we are working towards, introduce the classroom assistant, and continue exploring how students might use it

There is still work ahead, but we are gradually moving towards our goal of testing BAINT in educational environments

Research Continues Through Student Conversations
Beyond the school presentation, we continued our research conversations with students

We also shared our latest BAINT Insight Card, documenting another learning experience and using it to reflect on the challenges students face

These conversations remain an important part of how we approach development
Students have different experiences, different expectations, and different ways of understanding difficult concepts
Listening to them helps us identify areas where educational technology could provide better support

This week, we received one piece of feedback
Although it was only one response, it gave us another opportunity to understand how a student experiences AI when using it for academic work

We are continuing to learn from these interactions rather than assuming that every student will experience BAINT in the same way
When Students Challenge Our Thinking

One conversation this week also reminded us that students may have different expectations of how an educational AI should respond
A student shared an experience involving an AI-generated answer for a school assignment that did not meet their expectations

During our discussion, I explained that BAINT should not simply invent an answer when it cannot establish a reliable response

The student disagreed, arguing that the AI should still respond, even if the answer might be incorrect

That conversation raised an important question for us
How should an educational AI help students when it cannot confidently provide the correct answer?
For us, this is something worth thinking about carefully

Students need useful responses, but they also need to understand when an answer may be uncertain

We want BAINT to become more helpful without encouraging students to trust information that may not be correct
These conversations help us understand the expectations students bring to educational technology and the challenges we need to consider as we continue building
Continuing to Share the Product

We are still talking about BAINT, presenting it, and allowing people to explore the product

Our work is not limited to publishing articles or sharing updates on social media

We want to create
opportunities for students and educators to see what BAINT does, ask questions, experience the demo, and share their thoughts

This is part of our approach to building through real experiences

We are continuing to introduce BAINT to people who may be interested in educational technology while learning from the questions and feedback they bring

The journey is still developing, and every conversation gives us another perspective

Another Conversation With a Builder

This week, we also had a conversation with another builder

Conversations like these are valuable because building a product involves more than the technical work itself
There are questions about development, resources, testing, product direction, and how to continue making progress with the tools available

We are still learning from other people who are building and exploring their own ideas
These interactions give us opportunities to exchange perspectives and understand different experiences within the building journey

We Are Still Looking for Support

As BAINT continues to develop, we are also being honest about the resources we need
One of our immediate needs remains a laptop

At the moment, we are building with limited equipment, and having access to a working laptop would make development, testing, and project management much easier

It does not have to be a new or expensive device

Even an old, working laptop could help us move faster

We are still looking for individuals, builders, organisations, or supporters

who may be willing to help us access the equipment we need

We also welcome technical guidance, mentorship, and connections with people who understand the challenges of developing educational technology

We appreciate every opportunity to receive support as we continue working towards our goals

What Week 36 Reminded Us
This week reminded us that building BAINT is not only about what happens behind a screen

It is also about conversations with students, introductions to schools, discussions with builders, and opportunities to understand how people respond to the product

We are learning that progress can happen in different ways

Sometimes it comes from improving the product
Sometimes it comes from
listening to a student explain what they need

And sometimes it comes from taking the product into a new environment and allowing people to experience it

We are still working towards making BAINT more useful, and we recognise that there is much more to learn

Moving Into Another Week
As we enter another week, we are continuing with the same mission

We want to improve BAINT, listen to students, build relationships with educators, and create opportunities for more people to experience the product

We are also continuing to look for the support and resources that could help us develop faster

Every conversation, presentation, and piece of feedback contributes to our understanding of what we are building

We are grateful to the students, educators, builders, and supporters who have taken the time to speak with us and learn about BAINT

We are not claiming to have everything figured out
We are learning, improving, and continuing to build

BAINT is moving beyond social media, closer to students, and towards more opportunities to learn from real classroom experiences

The journey continues

BAINT 🌱📚
Together, BAINT is more
Lebel Bros
Founder, BAINT Computer

BAINT Week 35: Turning User Feedback into Better Learning

Baint Computer 🌏🌱📚 — Sun, 25 Oct 2026 12:23:19 +0000

Building an educational product is not just about writing code, adding features, or sharing updates online

It is also about listening to the people who may one day depend on it to learn

Week 35 has been a combination of listening, learning, reflecting, and working behind the scenes to make BAINT AI Classroom Assistant more useful to students

We may have been a little quieter on social media recently, but that does not mean the work has stopped.

We have been gathering feedback, learning from students' experiences, and thinking carefully about what needs to improve

I also became sick during this period and had to take some time to recover.

It slowed things down, but the mission remains the same: to build a learning assistant that helps students understand concepts, work through difficult questions, and learn with greater confidence.

Learning from Real Student Experiences
One of the most valuable parts of building BAINT is hearing directly from students.

Their experiences remind us that students do not all struggle in the same way.

Some need a concept explained from the beginning.

Others understand the theory but struggle when they have to apply it to a question.

Some need worked examples, while others benefit from visual explanations that help them connect ideas.

Recently, feedback from a student exploring calculus highlighted an important distinction: explaining what a topic means is not always the same as helping someone solve a problem on that topic.
Both are important parts of learning.

A student may need to understand the foundation before attempting a question. Another may already understand the concept but need a step-by-step solution. A useful learning assistant should recognise these different needs and provide the right kind of support.

This is one of the areas we want to keep improving in BAINT.

When Studying Only Takes You Halfway
In another conversation, a 200-level Building student shared some of the difficulties they experience with mathematics and General Studies (GNS).

They identified calculations and understanding concepts as major challenges. When asked how they usually deal with these difficulties, they mentioned searching online or using textbooks. However, they described the results as only working “halfway.”

That response stayed with me.
Textbooks and online resources remain valuable, but finding information does not always mean understanding it.

Sometimes students need a different explanation, a practical example, or someone to guide them through the steps they cannot figure out alone.

This is the problem we want BAINT to help address.
We are not claiming that BAINT has solved every learning challenge. We are listening, testing, identifying gaps, and working towards a better experience.

Every honest response helps us understand what students need and where we still have work to do.

Building Means Recognising What Needs to Change
Feedback is only useful when we are willing to learn from it.

As BAINT develops, we are paying closer attention to the difference between providing information and supporting actual learning.

We want students to be able to explore a topic, understand its foundations, see worked examples, ask follow-up questions, and receive clearer guidance when they are confused.

Getting there requires continuous improvement. Some gaps may be in how topics are covered. Others may involve how questions are interpreted or how explanations are presented.

These are challenges we need to approach carefully, one step at a time.

The goal is not simply to make BAINT look impressive. It is to make it genuinely more useful to the students it is being built for.

The Work Behind the Updates
People often see the articles, announcements, and social media posts, but there is another side to building BAINT.

There is testing, reviewing feedback, examining what works, identifying weaknesses, and planning what to improve next.

Much of this work happens quietly, long before there is anything new to announce.

We are still building towards a stronger learning experience across different subjects, and there is plenty left to do.

We also recognise that progress depends not only on ideas and determination, but on having the right tools to work effectively.

An Honest Request for Support
As we continue building BAINT, we are still looking for people who can help us move the project forward.

One of our most immediate needs is a laptop.

At the moment, working with limited equipment makes development slower and more difficult than it needs to be.

Having access to a laptop would make it easier to work on the code, test improvements, manage project files, and develop BAINT more efficiently.

It does not have to be a brand-new or expensive machine. Even an old, working laptop could make a real difference.

If you have a laptop you no longer use, know someone who may be willing to donate one, or can connect us with a person or organisation that supports young builders and educational technology projects, we would be grateful for the opportunity to talk.

We are also open to guidance, technical mentorship, and connections with people who believe in making learning more accessible.

This is not a claim that equipment alone will solve every challenge. It is simply an honest statement of what could help us work faster and make better use of the time and effort we are already putting into the project.

Sometimes, a tool that is no longer useful to one person can become an important resource for someone else trying to build something meaningful.

Moving Forward, One Step at a Time
Week 35 has reminded me that building something worthwhile requires more than consistency. It requires listening, patience, the willingness to recognise weaknesses, and the courage to keep improving.

I am grateful to everyone who has tested BAINT, shared feedback, answered questions, followed our progress, or encouraged us along the way.

Every conversation gives us another opportunity to learn.

Every useful criticism helps us see what we may have missed. And every bit of support can help us take the next step.

We are still learning. We are still improving. And we are still building.

If you believe in what we are trying to do, you can support BAINT by sharing your experience, connecting us with people who can help, or simply spreading the word.

Our mission is to make learning more understandable, more accessible, and more supportive of the students who need it.

We have a long way to go, but we are committed to the journey.

BAINT 🌱📚
Together, BAINT is more.

Lebel Bros
Founder, BAINT Computer

Week 34 Building, Testing, and Learning From Students

Baint Computer 🌏🌱📚 — Sun, 18 Oct 2026 14:45:27 +0000

Last week, I published Week 33, Building With What We
Have, Learning From Our Users. This week, I've been busy working on the project, talking with students, and testing the product.

Learning Through Testing
One of the most important parts of building BAINT is getting students to interact with the product and share their experiences.

Testing helps us see what works, what needs improvement, and where the limitations are. It also reminds me that building an educational tool is about more than making something that works. It must be useful to the people who need it.

Progress Doesn't Always Look Like a New Feature
Sometimes, progress means fixing a problem.

Other times, it means listening to feedback, testing an existing feature, or discovering something we hadn't considered before.

These moments may not always look exciting from the outside, but they are part of building something meaningful.

I've also had to balance working on BAINT with documenting the journey.
That's why this week's update is coming a little later than planned.

What's Next?
We'll continue testing BAINT, learning from students, identifying areas for improvement, and working towards making the assistant more useful for learners.

There is still a lot to do, and we're not pretending otherwise. We're building with the resources available to us and improving as we go.

Final Thoughts
Week 34 is another reminder that building something worthwhile takes patience, consistency, and a willingness to learn.

BAINT is still a work in progress. Every test, every conversation, and every piece of feedback helps us understand what needs to happen next.

We're still building. We're still learning. And we're moving forward, one step at a time. 💚

Thank you to everyone following the BAINT journey and to the students taking the time to test the product and share their feedback.

Until Week 35!

— The BAINT Project

Week 33: Building With What We Have, Learning From Our Users

Baint Computer 🌏🌱📚 — Sun, 11 Oct 2026 14:44:18 +0000

Another week of building BAINT AI Classroom Assistant

This week, we continued talking to students, collecting feedback and improving the product.

We're learning that building an educational tool is not only about making features work.

It's also about understanding what students struggle with and what teachers expect from a tool they might use with their students.

Four pieces of demo feedback
This week, we received four pieces of feedback on the BAINT demo.

Every piece of feedback gives us something to examine. Some things work as expected, while others show us where we need to improve.

We're paying attention to how students interact with the product, where explanations fall short and what could make the learning experience better.

We don't want to build based only on what we think students need. We want their experiences to influence how BAINT develops.

Continuing the mathematics rollout
We're continuing to improve the mathematics engine and have started getting feedback from a teacher.

One of the early observations showed that BAINT could respond to a mathematics question but failed to provide the actual working needed to solve a more complex equation.

That feedback matters.
Giving a general explanation of how to approach a problem is not the same as solving it and showing each step.

We need to keep improving the engine so students can follow the reasoning behind a solution.

We still have work to do, but this is exactly why we want teachers and students to use the product while we're developing it.

Their feedback helps us identify problems that we might not discover through our own testing.

Still looking for hardware support
We've also reached out to around 120 people to seek hardware support for our work.

We're still waiting for help.
Having better hardware would make development easier, but we aren't putting everything on hold while we wait.

We'll continue building with what we have, improving the demo and learning from the people willing to try it.

We know there are limitations to what we can do with our current resources. We're working within those limitations while continuing to look for support that could help us move further.

What comes next for BAINT
Our focus remains on improving the product through real feedback.

We want to strengthen the mathematics engine, continue listening to students and teachers, and understand how BAINT can better support different ways of learning.

We also know that one successful response doesn't mean the entire system is ready.

We need to test different questions, identify weaknesses and improve the underlying system instead of relying on isolated fixes.

There is still a lot to do.
But we're learning, testing and making progress with the resources available to us.

We're not waiting for everything to be perfect before we keep building. We're building, learning from the process and improving as we go.

Another week of building BAINT 🌱📚

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