Learning That Runs Itself

Autonomous tutoring workflows with persistent context, subject-aware agents, and intelligent scheduling—no manual session planning required.

Scaffolded Holistic Learning Autonomy

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📍 Placement Assessment

📖 Adaptive Instruction

🔄 Spaced Review

📊 Evidence Collection

🎯 Progress Tracking

Continuous Learning Loop

Education without interruption

🧠

Maintains comprehensive learner profiles across sessions. Every interaction builds on previous knowledge, gaps, and demonstrated mastery levels.

📅

Planner and scheduler agents coordinate tutoring sessions, spaced repetition reviews, and placement assessments without human intervention.

🎓

Specialized agents for different subjects apply domain-specific pedagogical strategies, from mathematics to literature to science.

📈

Automatically aggregates learning evidence across sessions, generating progress reports and identifying patterns in understanding.

Multi-agent coordination for continuous learning

Develops personalized learning paths and sequences concepts based on prerequisites and learner readiness

Manages timing of lessons, reviews, and assessments using spaced repetition algorithms

Subject-specific instructors that adapt teaching strategies to learner needs and topic complexity

Conducts placement tests and ongoing evaluations to measure understanding and adjust difficulty

Maintains complete learner state, interaction history, and knowledge graphs across all sessions

Processes learning evidence to identify strengths, weaknesses, and optimal next steps

Why autonomous learning works

Learning workflows continue 24/7. Reviews are scheduled automatically, assessments run on-time, and no session requires manual setup.

Every learner follows a unique path determined by their actual understanding, not a fixed curriculum or manual teacher judgment.

One system can orchestrate learning for thousands of students simultaneously, each receiving individualized instruction.