Free AI tutor for computer science
Tell it what you are trying to learn. It maps what you already know, teaches the specific gaps, checks whether the teaching actually worked, and keeps adjusting the plan as it learns more about you.
Get StartedPick one. A short diagnostic finds what you already know, then every lesson goes straight to a gap.
Relational databases, transactions, indexing, and query processing, aimed at technical interview prep and equivalent coursework. 31 skills.
Core supervised and unsupervised learning, model evaluation, and the basics of neural networks, aimed at technical interview prep and equivalent coursework. 25 skills.
Core data structures, algorithmic techniques, and graph algorithms for technical interview prep and equivalent undergraduate coursework. 32 skills.
Processes, threads, concurrency, memory virtualization, and file systems, covering a standard undergraduate operating systems course. 27 skills.
Probability foundations through hypothesis testing and regression, covering a standard introductory statistics and probability course. 26 skills.
The same three steps for every skill, and it doesn't move on until you've actually got it.
Given a goal, get a path built around what you specifically need, not a generic checklist everyone gets.
Get real instruction on each step, get checked on it, and have the plan itself change based on how that check goes.
It only counts as learned once there is reliable evidence you can actually do it.
A personal tutor that keeps track of what you actually know. Tell it what you are trying to learn, it finds where you are already strong and where you are not, teaches the gaps, checks whether that teaching actually landed, and adjusts the plan from there.
A roadmap gives a beginner and an expert the same path. A chatbot answers whatever you ask, but forgets you once the tab closes and never checks it stuck. CortexLoops builds the path around you specifically, and treats checking whether it worked as the whole point, not an afterthought.
A short adaptive diagnostic, not a fixed quiz asked in the same order at everyone. Each answer shapes what gets asked next, and it credits a partial or adjacent understanding instead of forcing a strict right or wrong call. Anything the diagnostic never reaches stays marked as not checked, never assumed weak.
It tries to name the specific misunderstanding behind the mistake and teach that, instead of repeating the same explanation more slowly. Not every wrong answer has a clean story behind it, so it only calls out a misconception when your answer actually supports one.
No. Everything works in the browser with no sign-up. Progress is saved to your device, and creating an account is only there if you want that progress to follow you to another one.
Database Management Systems, Machine Learning Fundamentals, Data Structures and Algorithms, Operating Systems, and Statistics and Probability, each broken down into individual skills you get checked on.
Because it will not pretend to know something it has not actually seen you do. A skill only turns solid or struggling once the diagnostic or a lesson has checked it, never assumed either way.
Yes. There is no paywall on the tutoring itself: diagnostics, lessons, and the skill catalog are all free, with no sign-up required to use them. An account is optional and only exists to carry your progress across devices.
English, Hindi, French, and Spanish. Lessons, diagnostics, and the skill catalog all respond in the language you pick, not just the marketing pages. Technical terms stay in English throughout, since that is how they show up in interviews and textbooks either way.
That is the main use case it is built around. The five subjects (DBMS, Machine Learning Fundamentals, DSA, Operating Systems, Statistics and Probability) are chosen for how often they show up in technical interviews and GATE-style exams, and the diagnostic points a study plan at the exact skills that are actually weak instead of re-covering a whole subject from scratch.
It is not trying to replace one. What it is good at is the part a human tutor rarely has time for: checking, at the level of an individual skill, whether something actually landed, and adjusting immediately instead of at the next scheduled session. For a lot of self-study, that check is the part that was missing, not the explanation itself.