Shape what people learn, then share it.
Nata works on the same knowledge maps as KFlow. Let the AI propose what a path is missing, approve what fits, turn the path into a course, invite students and see how they are doing.
Intro to machine learning
AI proposals
Regularization
Derivatives, before Gradient descent
Linear regression to Logistic regression
From a path to students who learn it
Four moves take you from a path you know to students you can follow.
Enrich the path
The AI proposes missing concepts, prerequisites and links for each level, each with a reason. You approve or discard every one, and approved ones land in the path, visible in KFlow at once.
Build a course
Modules start as the levels of the path. Rename them, reorder them, point them at other concepts and edit the lessons. Your edits save.
Publish and invite
Publish the course and invite students by email. A student accepts, adds the course to their own paths and learns it in KFlow and in Rawi's feed.
Mentor
See each student's progress in one dashboard: concepts learned out of the total, last activity and who may be falling behind.
What creators shape in Nata
Everything you build sits on the same graph your students walk.
Courses
Cohorts
Practice questions
Flashcards
Lessons
Prerequisites
Concept links
Learning paths
Turn a path into a course
A course is a path with a teacher's voice. Start from the levels you already have, shape the order, and publish when it is ready.
Modules from your levels
Each module starts as a level of the path. Rename, reorder and re-point them without touching the path itself.Lessons that save
Open a lesson, edit it, and your changes are kept. There is no separate copy to keep in sync.Publish and invite
Publishing makes the course ready to share. Invite students by email and they accept in the app.Intro to machine learning
Module 1: Data and features
Module 2: Linear models and loss
Module 3: Gradient descent and evaluation
Follow your students without opening their maps
The mentor dashboard shows how far each student has come, so you can step in when it helps.
Progress at a glance
Concepts learned out of the total for each student, and when they were last active.At-risk flags
Set the thresholds yourself. Students who cross them are flagged so you can reach out early.Private by design
Students write their own progress and mentors only read it. Nobody opens anyone else's graph.Mentor dashboard
An illustration with sample students, not real data.Lena
12 of 20 conceptsOmar
18 of 20 conceptsMira
At riskReady to shape a path?
Sign in to Nata, pick a path and let the AI propose what it is missing.