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
Top comments (0)