MCAT-grade reasoning, not GPT-grade summaries.
Pre-med filters for students who can reason under time pressure. Train that.
Pre-med is a filter, and every filter rewards deliberate practice. Brainback trains you to reason from first principles across chemistry, physics, biology, and biochem — with recall built in so the MCAT feels familiar, not adversarial.
What's broken. What changes.
A honest before-and-after — the specific gaps Brainback closes for a student in this stage of the arc.
- Coursework grades don't predict MCAT performance.
- AI-generated notes create the illusion of understanding.
- Recall of orgo mechanisms fades weeks before the exam.
- Explain-back scoring catches shallow understanding before the exam does.
- Recall queue keeps orgo, biochem, and physics ready.
- Brain score trend shows if your prep is compounding or plateauing.
One pre-med, two Wednesdays.
Same problem. Same student. Two very different definitions of 'productive.'
Subjects tuned for this stage.
Add these as Learn subjects and Brainback treats every problem inside them as academic — everything else goes to Efficiency mode.
Push arrows before you push answers.
Every pathway earned, not memorized.
How the body compensates — and why it fails.
Draw the free-body diagram. Actually draw it.
Systems, not slogans.
Balance the equation. In the right order.
The recall queue is what saved my orgo. I stopped forgetting mechanisms two weeks after the unit.
Stories from pre-med students.
“I turned off ChatGPT for a semester and used Brainback for problem sets. My final exam average went up 18 points.”
“My first practice MCAT score was a 495. My real MCAT was a 517.”
“For the first time, I know my kids are doing the work. And I don't have to read a single word of it.”
for pre-med
Ready when you are, pre-med.
Free tier works. Add your subjects in 30 seconds. Attempt-first from the first problem.