Skip to content

About

Documentation for EvStudy - the EvSphere adaptive learning platform. Vaults, mastery, spaced repetition, status. No source code.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Latest commit

 

History

1 Commit

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 

Repository files navigation

EvStudy

EvStudy

Documentation · not source

A study platform that adapts revision to what you have actually mastered

Status Version Docs

Website · EvSphere


What this repository is. Documentation for EvStudy — what it does, how it is organised, and what state it is in.

What it is not. This is not the source repository. No implementation code, configuration, prompts or infrastructure lives here, and none will.


❓ Why it exists

Mastery and progress figures are the system's own heuristics — what the app has inferred from your answers. They are not validated measures of learning, and no learning outcome is claimed anywhere in this project.


🧩 What it does

  • Organises material for a topic into a structured vault of notes, questions, MCQs, flashcards and quizzes
  • Tracks a mastery score per concept and generates targeted practice for weak areas
  • Schedules review with a full SM-2 spaced-repetition implementation
  • Applies exam-specific presets that adjust difficulty and question style
  • Links concepts through a graph with prerequisite relationships
  • Syncs study state and progress between devices

🔄 How it fits together

        Topic
          ↓
   Vault generation          notes · questions · MCQs
          ↓                      flashcards · quizzes
       Study
          ↓
       Assess                 answers update per-concept
          ↓                      mastery and misconceptions
      Adapt                  weak areas get targeted
          ↓                      practice
    Spaced repeat            SM-2 schedules what
          ↓                      comes back, and when
       Sync                   state follows you across
                              devices

📊 Status

Maturity In development — see STATUS.md
Version early pre-release
Public page https://evsphere.vercel.app/evstudy

⚠️ Known limits

  • Pre-release — the mobile build is a testing build, not a store release
  • Closed source; no public repository
  • Running it requires your own backend and AI provider credentials — there is no hosted instance
  • Exam presets cover a specific set of curricula and do not generalise to unlisted ones
  • Mastery, misconception and progress figures are the system's own heuristics — not validated measures of learning
  • No learning outcome is claimed

Full detail, including what is not claimed, is in docs/STATUS.md.


📚 Documentation

Document Covers
ARCHITECTURE.md Conceptual structure and subsystem responsibilities
docs/HOW-IT-WORKS.md Stage by stage, and where the boundaries are
docs/STATUS.md Maturity, requirements and what is not claimed
docs/FAQ.md Common questions and honest answers
NOTICE.md What is deliberately absent, and licensing

🔗 EvSphere

🌐 Website · GitHub · npm · LinkedIn · X

Machine-readable: llms.txt · llms-full.txt


⚖️ Disclosure

Internal implementation detail is not published here. No credential, endpoint, key, dataset or client material is included — see NOTICE.md.

If you find any of those here, it is an error. Report it privately through the enquiry page rather than opening a public issue.

About

Documentation for EvStudy - the EvSphere adaptive learning platform. Vaults, mastery, spaced repetition, status. No source code.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors