Terra-Cogitia
Explore Create a Learning Path Create

AI-assisted learning path builder

Turn what you want to learn into a path that makes you think.

Describe a subject in one sentence. Terra-Cogitia structures the knowledge, decides what learners should actually do with it, and builds discovery and challenges around every step. AI drafts. You decide.

Create a Learning Path See how it works

For educators, trainers, experts and L&D teams — and anyone with something to learn.

Product preview: the intent “I want to understand Generative AI” becomes a five-stage learning path — foundations, concepts, practice, challenge and mastery — each stage with a knowledge level and a mental operation.

Learning paths, not just courses

A learning path should be more than a list of lessons.

Most course builders arrange content. Terra-Cogitia designs understanding: every step says what must be understood, how it connects to the rest, and what the learner has to do to show they’ve got it.

Every path is organized around

  1. What must be understood
  2. How the concepts relate
  3. What the learner should be able to do
  4. Which mental operations they exercise
  5. How mastery grows over time

One thread through a Terra-Cogitia path

  1. QuestionStart from curiosity“Why does an AI need so much data?”
  2. KnowledgeWhat must be understoodThe link between data volume and generalization
  3. DiscoveryExplore before being toldTrain on 10 photos, then 10,000. Watch what changes.
  4. Mental operationWhat the learner doesCompare the two models
  5. ChallengeProve it by actingPredict which model fails on new photos
  6. MasteryUnderstanding you can seeRelations · Compare — reached

Learning isn’t consuming content. It’s doing something with knowledge.

Every challenge is built from four parts

  • KnowledgeTraining data
  • OperationCompare
  • LevelL2 · Relations
  • MechanicPredict the outcome
Try the path builder

The learning model

Six levels of understanding, one simple interface.

From noticing facts to questioning a field’s assumptions, every piece of knowledge in Terra-Cogitia sits at a level. You don’t need to know the theory — the Studio uses it to build paths that climb.

Level 2

Laws & relations

In the Terra-Cogitia model · Lois & relations

Connect & explain

What it means
How facts depend on one another: causes, correlations, rules.
The learner can
Connect elements and explain why a change in one affects another.
Example · Artificial Intelligence
Explain why more varied training data usually makes a model more reliable.

Levels aren’t grades. A beginner’s path can reach level 4; an expert’s can start at level 1.

See the levels in an example path

Inside the builder

Everything you need to build a path, in one place.

Six parts of the Terra-Cogitia Studio, each one playable right here. Start where you like: describe what you want to learn, watch AI propose, or try a challenge.

Try the path builder

Start with what you want to learn.

No syllabus, no template, no instructional-design jargon. Write one sentence. Terra-Cogitia turns it into a learning architecture you can explore, edit and publish.

Write it the way you’d say it to a friend.

Or try

Learning architecture

Understand quantum computing

AI
  1. 1Qubits, gates and measurementL1FactsObserve
  2. 2Why superposition changes what can be computedL2RelationsConnect
  3. 3Run a first circuit on a simulatorL3SchemesSolve
  4. 4Which problems quantum computers can speed upL4PrinciplesGeneralize
  5. 5Classical vs. quantum models of computationL5StructuresCompare

Illustrative preview. In the Studio, AI drafts the full architecture from your intent — and you edit every step.

Continue in the Studio

Example learning path

What Terra-Cogitia builds from one sentence.

Here is a complete path generated from a single intent, then reviewed by its author. Six stages, each tied to a level of understanding, a mental operation, a mix of media and a challenge.

  1. 01

    What AI is

    L1Observable facts
    Knowledge
    Definitions, examples and non-examples of AI systems
    Objective
    Recognize an AI system and describe what it does
    Operation
    Observe
    Media
    • Image
    • Text
    • Video
    Challenge
    Spot the AI: which of eight everyday tools learn from data?
  2. 02

    How AI systems work

    L2Laws & relations
    Knowledge
    Data, training, models and predictions — and how they depend on each other
    Objective
    Explain how training data shapes a model’s behaviour
    Operation
    Connect
    Media
    • Diagram
    • Text
    • Audio
    Challenge
    Link each change in the data to its effect on predictions
  3. 03

    Build a simple model

    L3Operating schemes
    Knowledge
    The training workflow: collect, split, train, evaluate
    Objective
    Train a small classifier, and repair it when it fails
    Operation
    Solve
    Media
    • Interactive
    • Video
    • Learner response
    Challenge
    Order and run the training steps, then fix an overfitting model
  4. 04

    Choose the right approach

    L4Generative principles
    Knowledge
    Trade-offs: rules vs. learning, accuracy vs. explainability, cost vs. benefit
    Objective
    Derive a principle for choosing an approach, and apply it to new cases
    Operation
    Generalize
    Media
    • Text
    • Diagram
    • Learner response
    Challenge
    Three real problems: recommend an approach and justify it
  5. 05

    Compare AI paradigms

    L5Abstract structures
    Knowledge
    Symbolic, statistical and neural AI as families of solutions
    Objective
    Frame a problem within the paradigm that models it best
    Operation
    Compare
    Media
    • Diagram
    • Image
    • Audio
    Challenge
    Place five landmark AI systems on the map of paradigms
  6. 06

    Question the assumptions

    L6Theoretical metaframeworks
    Knowledge
    What “intelligence”, “understanding” and “learning” are assumed to mean
    Objective
    Reflect on the assumptions behind claims about AI
    Operation
    Critique
    Media
    • Audio
    • Text
    • Learner response
    Challenge
    Defend or refute: “this model understands language”

Create without starting from scratch

You don’t need to be an instructional designer to build a meaningful path.

The Studio’s guided wizard walks you from a sentence to a published path. AI proposes at every step; you accept, edit or skip. Experts can switch to full control at any time.

01 / 08

Say what you want to learn — or teach

One sentence is enough. Add goals if you have them.

Guided mode for everyone. Expert mode for full control of levels, operations, prerequisites and mastery rules. Both edit the same path.

A different way to build learning

Courses end at completion. Paths end at mastery.

Both start from a subject. The difference is everything that gets designed in between.

Traditional course creation

  1. Topic
  2. Lessons
  3. Content
  4. Quiz
  5. Completion

Measures what was covered.

Terra-Cogitia

  1. IntentWhy this, and for whom
  2. Knowledge architectureWhat must be understood, level by level
  3. Mental operationsWhat the learner must do with it
  4. DiscoveryContent that invites exploration
  5. Cognitive challengesUnderstanding shown through action
  6. MasteryWhat the learner can now do

Shows what was understood.

Content still matters. It just isn’t the whole design.

Who it’s for

For anyone who turns knowledge into learning.

Different starting points, the same result: a path that makes people think, not just scroll.

Individuals

  • Educators

    Build richer learning experiences.

    What you might build

    A six-week inquiry path on climate economics, with a challenge at every stage.

    Create a Learning Path

  • Trainers & coaches

    Create structured professional learning paths.

    What you might build

    An onboarding path where new sales reps practise handling objections, not just read about it.

    Create a Learning Path

  • Subject-matter experts

    Turn expertise into teachable journeys.

    What you might build

    Twenty years of structural engineering, organized into levels a newcomer can climb.

    Create a Learning Path

  • Independent learners

    Create the learning journey you actually need.

    What you might build

    Photography, the way you want to learn it: from what a lens does to a style of your own.

    Create a Learning Path

Organizations

  • L&D teams

    Design structured learning paths for your people.

    What you might build

    A path where new managers practise giving feedback — with a challenge at every stage, not just slides.

    Create a Learning Path

  • Universities & schools

    Turn a course into a path that climbs — and comes back down.

    What you might build

    A history path from primary sources up to competing historiographies, then back to a new case.

    Create a Learning Path

Your turn

What do you want to learn?

Write it the way you’d say it. Terra-Cogitia turns it into a first draft of a path — and you take it from there.

You review every proposal before anything is published.

Explore Terra-Cogitia

Coming soon

The Studio isn’t open yet.

Terra-Cogitia’s path builder is still being built. This page is a preview of what it does — everything you see here is already playable.

  • Describe a subject and get a structured path
  • AI proposes; you accept, edit or replace
  • Challenges and mastery built into every stage
Explore the builder