Your learning does not vanish into a thread.
Benji keeps the curriculum, lesson history, completed sections, weak concepts, and review queue together so every answer has context.
Benji turns any subject into a guided learning path, then adapts as you work through lessons, answer questions, get stuck, and improve. It is more organized than a chat thread and more responsive than a static online course.
A course gives structure. A chat gives flexibility. A tutor gives feedback. Benji combines the parts self-learners miss most.
Benji keeps the curriculum, lesson history, completed sections, weak concepts, and review queue together so every answer has context.
Online courses move at one pace. Benji watches where you hesitate, what you miss, and what you master, then adjusts practice around your patterns.
A great tutor is valuable. Benji is the cheaper everyday layer: no judgment, no clock pressure, and unlimited patience when you need the same idea explained again.
Type any topic and choose a level. Benji breaks it into sections with sensible order, time estimates, and editable goals.
Open a section for explanations, resources, practice, and Socratic questions that know what you are trying to learn.
Benji checks your answers, remembers weak spots, and sends missed concepts back into review instead of pretending one pass was enough.
A real sequence, not scattered answers. Every topic gets sections, lessons, checkpoints, and visible progress.
Wrong answers become useful signals. Benji can turn mistakes into targeted remediation and review.
Answer probing questions and get feedback on your reasoning, not just whether the final line looks right.
Your paths, edits, lesson progress, weak concepts, and feedback stay available when you come back.
Books, articles, and videos are picked for the section you are on instead of dumped into a generic reading list.
Use Benji for the repeated practice, explanation, and review work that is too expensive to outsource every day.
Benji starts with a course-like map, then turns each section into explanations, exercises, resources, and feedback loops.
Vectors as arrows, as tuples, and as elements of an abstract space. Linear combinations, span, and the axioms that define a vector space.
≈ 1h 20mWhen a set of vectors is independent, why a basis matters, and how dimension falls out of the definitions.
≈ 1h 30mMatrices as a way to write down a linear map between bases. Composition, identity, and the inverse when it exists.
≈ 2hRow reduction, the geometry of solutions, and how the rank of a matrix tells you what to expect.
≈ 1h 40mWhat a determinant actually measures, why it is multiplicative, and how it connects to invertibility.
≈ 1h 30mThe directions a linear map only stretches. Characteristic polynomial, eigenspaces, and why diagonalisation simplifies everything.
≈ 2hDot products, orthonormal bases, Gram–Schmidt, and the spectral theorem for symmetric matrices.
≈ 2hCredits pay for AI tutoring work — planning a path, writing lessons, checking answers, and targeted practice. Reading, editing, and progress tracking are always free.
120 starter credits, plus 20 fresh credits every day. No card required.
1,500 credits per month for regular study and one substantial course.
4,000 credits per month for multi-path study and frequent answer checks.
One-off credit packs. Valid for 1 year from purchase. Stack on top of any plan.
Still curious? Benji is happy to show you the rest inside the app.
Type a subject and let Benji build the first version of your path.
Start learning free