Personalized learning and knowledge navigation
AI that recommends learning paths, connects concepts, and helps learners decide what to study next.
- Adaptive review plans
- Knowledge graph navigation
- Learning-resource recommendation
Product
ChironBota is live. The rest is in active exploration.
Our live MVP turns flashcards and prior knowledge into AI-guided learning paths. Below are the research directions we're building toward next.
Live MVP
ChironBota / ICALM
An AI-powered learning system that transforms flashcards into concept maps, knowledge graph recommendations, chatbot feedback loops, and adaptive study pathways.
Visit chironbota.co View local prototypeExternal brain and personal knowledge systems
Organize scattered documents and decisions into retrievable, structured context.
- Personal knowledge retrieval
- Decision memory
- Context-aware synthesis
AI-assisted decision support
Tools that compare options, surface tradeoffs, and make recommendations easier to inspect.
- Option framing
- Next-step recommendation
- Evaluation rubrics
High-stakes communication support
Context-aware drafting and tone checking for sensitive professional situations.
- Tone and risk checks
- Context-sensitive drafting
- Alternative response strategies
Responsible recommendation systems
Design patterns for recommendations that stay explainable, accountable, and centered on user agency — not engagement maximization.
- Explainable recommendations
- User correction and consent
- Evaluation beyond clicks