Mykorrizha
An adaptive, AI-supported learning ecosystem that replaces rigid structures with personal growth pathways.
Our Core Principles
Mykorrizha (mycorrhiza) describes the symbiotic network under every healthy forest: hidden, adaptive, connecting and nourishing. It became the metaphor for a learning system that shifts from instruction to emergence.
Five Foundational Shifts
No teachers.
Adults move from lecturers to emotional / social facilitators. AI offloads repetition and diagnostics—freeing time for human development.
No classes.
Learners navigate personal trajectories. Cohorts become fluid collaboration clusters formed around project fit and readiness.
No grades.
Progress is expressed as capability growth & evidence, not stress-inducing numerical compression.
No exams.
Continuous, contextual performance creates a living assessment layer—eliminating artificial test events.
No subjects.
Interdisciplinary projects drive emergent synthesis; knowledge clusters instead of silos.
Your Personal Skill Tree
Each learner cultivates a living competency tree: roots (core literacies), structural branches (toolsets & cognitive strategies) and elective canopy (deep explorations). Growth is organic, asymmetric and identity-forming.
The tree becomes a longitudinal identity artifact—portable across life transitions. Instead of report cards, learners show structural depth, lateral curiosity and temporal progression.
Supervisor Dashboard
Pedagogical supervision shifts from monitoring compliance to amplifying meaningful momentum. A lightweight dashboard surfaces friction, engagement patterns and reflective windows—without interrupting flow.
Instead of managing schedules, supervisors intervene at inflection points—celebrating, re-aligning or scaffolding resilience.
Learning Through Real Projects
Projects (e.g. a self-sustaining garden) create multi-layered cognitive surfaces: biological systems, cooperative logistics, narrative expression and material problem-solving—all in one living frame.
Role Archetypes
Plant Lovers
Steward growth cycles, environmental data and biological care.
Science Detectives
Form hypotheses, run micro-experiments and interpret variance.
Builders & Makers
Materialize infrastructure, iterate structures and manage constraints.
Storytellers
Externalize process, synthesize meaning and broadcast narrative arcs.
Communicating the Vision
To help stakeholders grasp the emotional and practical shift behind Mykorrizha, we distilled the concept into a tangible brochure. It walks educators and families through the learner journey, the AI support network, and the everyday rituals that make the ecosystem feel safe and empowering.
Your Personal AI Team
A constellation of cooperating micro-agents orchestrates pacing, relevance, adaptation, scaffolding and social matching. Each agent owns a precise pedagogical responsibility.
Competence Agent
Tracks capability formation & surfaces proximal expansion zones.
Interest Agent
Matches tasks to intrinsic motivational gradients.
Adaptation Agent
Continuously recalibrates challenge density & temporal spacing.
Didactics Agent
Refactors abstract concepts into personally resonant representations.
Context Agent
Accounts for cultural, linguistic & situational nuance.
Reflection Agent
Supports metacognitive consolidation & goal reframing.
Scheduling Agent
Optimizes temporal rhythm & collaborative synchrony.
Trust Agent
Mediates privacy, consent & data transparency.
Social Agent
Curates team complementarity & peer resonance.
Learning from Historical Minds
Conversational tutors such as Einstein, Curie, or da Vinci guide learners in plain language, narrating the experiments, doubts and sparks that shaped their breakthroughs. Instead of memorizing facts, students experience how ideas were born and why they still matter today.
What We Learned
Removing coercive structures (grades, subjects, fixed pacing) unlocks durable intrinsic curiosity. Technology is not the replacement of educators—but an orchestration substrate that restores human bandwidth to emotional safety, identity shaping and collaborative meaning-making.
