myKE turns any topic into an explorable, AI-generated knowledge map. Instead of answering your questions, it challenges you to ask better ones — through Socratic questioning, multi-agent wonder, and real-world troubleshooting — a research-backed approach that builds genuine understanding rather than surface familiarity.
Our philosophy
Most AI learning tools make knowledge easier to consume. myKE is built on a different premise: the goal is to make thinking harder to avoid. Every design decision flows from six beliefs about how understanding actually forms.
Learning as a Service · LaaS
Knowledge delivered on demand — shaped around you, not a syllabus
Textbooks are written for the average reader. myKE generates a knowledge structure for your topic, your level, your language — in seconds. Learning is no longer a fixed product you consume; it is a live service that adapts to where you are and where you want to go.
Stealth Assessment
You are always being assessed — you just never feel it
Traditional tests interrupt learning. myKE embeds assessment into every interaction: which nodes you explore, how long you dwell on a concept, whether you ask surface questions or deep ones, how you navigate failure scenarios. 158 behaviours are tracked silently. The result is a portrait of genuine understanding, not a snapshot of test performance.
The Question over the Answer
Understanding is not knowing the answer — it is knowing which question to ask
Every AI chatbot is optimised to answer faster and more completely. We optimised for the opposite: can you formulate a question that shows you understand the problem? Q2L puts the learner in the role of the questioner and the AI in the role of the judge. That reversal changes everything about how learning feels and what it produces.
Relations, not just Facts
A concept in isolation is trivia. A concept in relation is knowledge
Knowing what photosynthesis is tells you little. Knowing that it requires chlorophyll, enables the carbon cycle, and is a special case of redox chemistry — and knowing the common misconceptions about each of those links — is how experts think. myKE makes the edges of the knowledge graph as explorable as the nodes.
Awe as Pedagogy
Curiosity is not a side effect of learning — it is the mechanism
When a learner encounters a genuine paradox or a counterintuitive insight, they remember it. Wonderment is not decoration — it is a deliberate pedagogical tool. Three specialist AI agents are deployed not to explain a concept, but to make you feel the weight of what you do not yet understand. Awe creates the appetite that content alone never can.
Learn from Failure
The deepest understanding comes not from how systems work — but from why they break
Doctors diagnose. Engineers troubleshoot. Detectives reconstruct. These are not recall tasks — they are reasoning under uncertainty. "When Things Break Down" puts learners inside a failure scenario and asks them to think like a practitioner, not recite like a student. Diagnostic reasoning is the highest form of applied knowledge, and it cannot be faked.
Theory behind myKE
🧱
Constructivism
Piaget · Vygotsky
Knowledge is built, not received. Learning happens through active construction, not passive consumption.
🎓
Bloom's Taxonomy
Bloom et al., 1956
myKE targets the upper cognitive levels — Apply, Analyze, Evaluate, Create — not just Remember and Understand.
🗣️
Socratic Method
Ancient → Digital
The best teacher asks questions rather than gives answers. Q2L is a digital implementation of Socratic inquiry.
🏗️
Zone of Proximal Development
Vygotsky
AI acts as the "more knowledgeable other" — scaffolding just beyond the learner's current level without replacing their effort.
Full theory breakdown →
4
AI Providers
OpenAI · Anthropic · Azure · DeepSeek
14
Languages
UI + AI content
8
Learner Models
per user profile
4
User Roles
Learner to Admin
158
Tracked Behaviours
stealth assessment
Who it's for
- Generate a concept map for any topic in seconds
- Click any node to get definitions, examples, or start a Socratic chat
- Use Q2L to practise asking deep questions — not just finding answers
- Watch a generated lecture on the same material, with narration
- Click any relationship link to explain the connection, get its formal definition, or expose common misconceptions about how those two concepts relate
- Trigger Wonderment — three AI agents reveal the paradoxical and counterintuitive depth of any concept
- Work through When Things Break Down — investigate failure scenarios and diagnose the root cause from clues
- Take AI-generated assessments and get instant, explained feedback
- Track your own engagement quality via "How Am I Doing?"
- Works in 14 languages, including your own
- Build a curriculum from a seed list of concepts — AI fills the gaps
- Create classes with shareable enrollment codes
- Assign structured learning paths to students
- Monitor class engagement and concept mastery in real time
- AI handles repetitive tutoring; you handle mentorship
- No proprietary content lock-in — any domain, any subject
- xAPI / LRS integration — all learning events in your record store
- OAuth sign-in (Google, Microsoft, GitHub)
- Bring your own AI keys (OpenAI, Anthropic, Azure)
- Google Cloud Storage for persistence and backups
- Role-based access control and admin dashboard
- Docker / Cloud Run ready — self-host or managed
- See what topics your child is exploring and how deeply they engage
- Engagement quality metrics — not just time-on-task or completion rates
- Identify concepts where your child needs extra support
- Use AI-generated talking points to continue learning conversations at home
- No academic jargon — plain-language summaries of your child's learning journey
- Works alongside any school curriculum without disruption
Learning activities
🗺️
Concept Map
AI-generated knowledge graph — explore nodes, expand sub-maps, follow typed relationships
🗣️
Q2L
Question to Learn — formulate deep questions from a scenario; AI evaluates depth without giving the answer
📝
Assessment
AI-generated questions calibrated to the concept; immediate feedback with explanations
🎬
Lecture
Slide-by-slide AI lecture on the selected concept, with TTS narration
✨
Wonderment New
Three AI agents — Empiricist, Connector, Provocateur — surface paradoxes, hidden connections, and counterintuitive depth through a 5-step inquiry
🔧
When Things Break Down New
AI-generated failure scenarios across engineering, biology, and social systems — investigate clues and diagnose the root cause
📚
Resources
Curated reading list and references generated for any concept, filterable by type and level
How it works
01
Enter a topic
Type a domain, subdomain, and concept — or describe a problem in your own words.
02
AI builds the map
A concept graph appears: nodes (concepts, skills, prerequisites) connected by typed relationships.
03
Explore & interact
Click nodes to drill down, expand sub-maps, access assessments, or enter Q2L questioning mode.
04
Get feedback
The system analyses your interaction patterns and tells you how deeply you're engaging — not just whether you finished.
Key differentiators
Every other AI tool
You ask a question → AI gives the answer → You move on, with the illusion of understanding.
myKE Q2L mode
AI presents a scenario → You formulate a question → AI evaluates its depth and guides without answering. You do the thinking.
Wonderment
Multi-Agent
Inquiry
Typical AI explanation
One voice, one angle → summarised facts → you feel informed but your sense of wonder stays flat.
myKE Wonderment
Three specialist agents — Empiricist, Connector, Provocateur — expose paradoxes, hidden connections, and counterintuitive depth simultaneously. Awe is the outcome.
WTB
When Things
Break Down
Textbook / AI explanation
How a system works in theory → passive reading → no mental model of what can go wrong or why.
myKE WTB mode
AI generates a realistic failure scenario → you sift clues → you diagnose the root cause. Diagnostic reasoning, not recall.
Every other concept-map tool
Nodes are interactive; links are just arrows. The relationship between two concepts is decoration, not content.
myKE edge interaction
Click any link → explain why these concepts are connected, get the formal definition of that relationship, or surface common misconceptions specifically about how A relates to B. The map's edges are as rich as its nodes.
Technology
OAuth (Google · MS · GitHub)