Badruddin Abbas

Posted on May 10

I built an AI that predicts your mistakes — with zero code, using MeDo

#ai #nocode #builtwithmedo #medo

The problem I was trying to solve

I kept running into the same wall while learning to code.

Watch tutorial. Understand everything. Close laptop.
Open blank screen. Freeze completely.

This is Tutorial Hell.

I realized it wasn't a knowledge problem. I had the
information. What I didn't have was the ability to
think through problems independently.

And here's what made it worse: every AI tool I used
made the problem deeper. ChatGPT gives you the answer
in 3 seconds. Copilot finishes your code before you
think. The faster I got answers, the less I practiced
reasoning.

Every time I googled the answer instead of figuring
it out myself, my brain learned to give up a little
faster.

Why AI tools make it worse

The current generation of AI learning tools optimizes
for speed.

You ask. It answers. You copy. You understand nothing.
The next problem — you're stuck again.

This is not a criticism of these tools. Speed is
genuinely useful. But for learning — specifically for
building independent problem-solving ability — instant
answers are actively harmful.

The brain learns what it practices. If it practices
waiting for answers, it gets better at waiting for
answers.

What ThinkFirst does differently

I built ThinkFirst AI around one idea:

What if AI predicted where you'd fail — before you
answered — and then trained you to think past it?

Here is what ThinkFirst does instead of answering:

1. Predictive Failure
Before asking a single question, ThinkFirst reads your
problem and predicts the most common mistake beginners
make on that specific problem type.

It says something like:

"Most people fail at edge cases like numbers less
than 2 — leading to wrong conclusions. Let's see
if you do."

This is not generic. It is specific to your problem.

2. Socratic Engine
ThinkFirst asks you 2 questions:

What do you think the answer might be?
Why do you think that?

It never answers. Never hints. Just activates your
thinking.

3. ThinkMap
As you answer, a live visual reasoning map builds
on screen — 4 nodes: Goal → Inputs → Strategy →
Solution.

Each node is color-coded by AI:

GREEN = correct reasoning
YELLOW = partial, specific gap identified
RED = incorrect or missing

The Solution node stays locked until your ThinkMap
is complete.

4. Solution Unlock
Only after demonstrating your reasoning does
ThinkFirst unlock a guided step-by-step solution
path. Not a full answer — a reasoning scaffold.

5. Think Score
A score out of 10 based on your node evaluations,
with a specific insight:

"Think Score: 8/10 — Strong reasoning with
clear logic."

6. Personal Diagnosis
ThinkFirst tells you whether you made the predicted
mistake or avoided it:

"You avoided the most common mistake. You handled
the edge case before writing a single step.
That's strong thinking."

How I built it in MeDo with zero code

I built ThinkFirst entirely through MeDo —
Baidu's no-code AI app builder.

No IDE. No frameworks. No code. Every feature was
described in plain English and MeDo generated the
full implementation.

Here is how I built each core feature:

Multi-turn conversation flow
I described the 5-step Socratic dialogue sequence
to MeDo in natural language. MeDo generated the
entire state management system — tracking which
step the user is on, storing their answers, and
preventing the solution from appearing before
Step 5.

ThinkMap visualization
I described 4 horizontal nodes with color-coding
logic. MeDo generated the full UI component —
fade-in animations, color transitions, the locked
Solution node, and the glow unlock effect.

Predictive Failure System
I described the behavior: read the problem, identify
the most common failure point, deliver a one-sentence
prediction before any question. MeDo wired this to
the LLM plugin and it works on any problem type.

Conditional unlock logic
I described: "solution stays locked until all 3
reasoning nodes are complete." MeDo generated the
conditional UI behavior without a single line of
JavaScript from me.

Progress stepper
4-step visual stepper in the left panel advancing
as the user completes each step. Described in one
sentence. MeDo built it.

The entire product was built in phases over several
days — one feature per MeDo prompt, tested, then
the next feature added.

What surprised me most

The Predictive Failure moment.

When I tested ThinkFirst on the prime number problem,
it said:

"Most people loop to the number itself — forgetting
that factors repeat after the square root. Let's
see if you do."

And I made exactly that mistake.

That moment — an AI predicting my specific blind spot
before I answered — felt genuinely uncanny. It didn't
feel like a chatbot. It felt like a cognitive mirror.

That reaction is what I want every user to feel.

The bigger insight

The most valuable thing I learned building ThinkFirst:

Product differentiation in AI is not always about
giving more. Sometimes it is about strategically
giving less.

By withholding the answer temporarily, ThinkFirst
creates something most AI tools accidentally destroy:
the experience of figuring something out yourself.

That experience is irreplaceable. And it is what
builds real capability.