First-principles reasoning, protected.
Engineering degrees are worthless if the reasoning isn't yours.
Engineering is a first-principles discipline. AI shortcuts hide skill gaps that will surface in your first real project — or your first real interview. Brainback trains the reasoning, defends the calculation, and keeps you honest about your assumptions.
What's broken. What changes.
A honest before-and-after — the specific gaps Brainback closes for a student in this stage of the arc.
- AI-generated derivations pass problem sets but fail exams.
- Simulation shortcuts skip the physical intuition you'll need on the job.
- Interview coding rounds expose gaps a copy-paste workflow created.
- Learn mode enforces derivation-first workflow.
- Recall queue keeps formulas ready with meaning attached.
- Explain-back turns familiarity into transferable skill.
One engineering, 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.
Limits, rates, and shapes of change — earned, not delivered.
Vectors are directions, not numbers.
Draw the free-body diagram. Actually draw it.
Forces, motion, and the shape of physical reasoning.
Reason about the algorithm before you type it.
State the recurrence. Solve it later.
I finally understood control theory instead of just passing the problem set.
Stories from engineering 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.”
“Six months in, I can actually explain gradient descent to a colleague. Every online course before this failed me.”
for engineering
Ready when you are, engineering.
Free tier works. Add your subjects in 30 seconds. Attempt-first from the first problem.