This week changed how we think about building BAINT AI
Not because of a new feature
But because of users
The Reality Check
We tested the BAINT AI
Classroom Assistant with real students.
And the feedback was immediate:
One user said:
“I was confused using it.”
Another said:
“I don’t face challenges in my studies.”
Two completely different perspectives
Same product.
The Problem Isn’t Always Technical
At first, it’s easy to assume:
The AI needs improvement
The system needs more features
But that wasn’t the case.
The real issue was:
User experience and expectation mismatch
We built a structured flow:
Pick a subject
Choose a topic
Ask questions
But some users expected:
Just type and ask immediately (like ChatGPT UI flow)
Two Types of Users
This week made something clear.
There are at least two types of users:
Structured learners
Prefer guided flow
Want step-by-step progressionInstant users
Want quick access
Prefer free-form input
Designing for both is not simple.
What We’re Changing
Instead of choosing one direction,
we’re exploring a hybrid approach:
“Ask anything” (simple entry point)
Structured learning (guided experience)
The goal:
Reduce friction at the start, increase depth over time
Small Feedback, Big Impact
We also tried something different—reaching users in unexpected places
We asked a simple question in a live chat:
“What subject is hardest for you?”
One reply:
“Writing.”
That single word is now insight.
What We Learned
Users don’t think like builders
Clarity matters more than features
One piece of feedback can shape direction
Distribution is harder than building
Still Early
We’re still in the demo phase.
Still testing,adjusting,learning from every interaction
Final Thought
Building an AI product is not just about intelligence
It’s about making that intelligence accessible.
Top comments (0)