Trainers
Organize homework, track follow-up, reinforce learning over time, and work with training material in a way that fits real coaching workflows.
Structured chess learning, training, and study
Build stronger chess understanding through structured study.
Mirasen builds tools and systems for structured chess learning — helping trainers, students, and authors organize material, reinforce patterns, and turn study into lasting understanding.
Current product direction
Mirasen Chess Lore
Chess Lore is the first major product direction inside Mirasen: a workflow-first system for structured chess learning, starting with trainer workflows and expanding into broader chess learning.
The current direction focuses on helping trainers assign, organize, review, and reinforce chess learning with more structure. The same workflows also support self-directed learners who want clearer review, stronger retention, and clearer progress.
trainer workflows
semantic annotation
review and retention
structured learning material
- Assign and organize training material in a more structured way
- Annotate positions with motifs and context, not only moves and comments
- Reinforce learning over time through review workflows tied to real material
- Make progress easier to track through meaningful study activity
Who it serves
Designed around real learning roles
The current product direction is trainer-first, while the broader system supports trainers, students, and authors through a shared learning workflow.
Students
Study with more structure, get clearer review loops, and retain ideas and patterns through workflows connected to real games and training material.
Authors
Create educational material that can support richer chess learning over time.
Core product ideas
From positions to reusable learning units
Mirasen is built on the idea that chess learning should be more than isolated puzzles, loose notes, or disconnected homework. The goal is to turn training material into structured learning material that can be reused over time.
Motifs + Context
The first semantic layer combines motif annotation with contextual metadata so a position becomes a real learning unit — not only what happened, but why it matters here.
Review + Retention
Review is tied to meaningful training objects and learning behavior, supporting stronger retention, clearer follow-up, and more useful progress visibility.
Reusable Educational Material
The same learning structure supports repeated use of training content across coaching, self-study, and later author-driven learning scenarios.
Long-term Product Direction
The long-term direction brings together workflows, semantic annotation, retention systems, and richer learning material into a broader chess learning platform.
Technology foundation
Built on a modern chessboard foundation
The learning system is supported by a modern chessboard architecture designed for rendering, interaction, and extension-driven features — a foundation for current workflows and future tools.
Chessboard
A modern board foundation for rendering, interaction, and extensibility across Mirasen tools.
Why the foundation matters
The board is not the product story by itself. It is the foundation that supports richer learning workflows, review interactions, and future tools.