A long-term learning system built on simple concepts

Intuitive organization. Quick review. Works at any scale.

  • Build your own library of concepts
  • Choose what to review, without hidden algorithms
  • Flexible organization, without rigid decks or nested complexity
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01

Create concepts

  • Create new concepts with simple, flexible metadata
  • Add subjects, topics, and tags to keep your knowledge organized from the start
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02

Build each concept

  • Update concept status for targeted review and statistics
  • Add a compact MVK for quick reviews and better retention
  • Write structured notes with Markdown — a simple, portable, and AI-friendly format
03

Organize and review your library

  • Organize your concepts with search, sorting, and filtering — keeping your library maintainable as it grows
  • Review concepts directly from the Library while updating their status
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04

Review one concept at a time

  • Use Focus mode for more in-depth review
  • Show or hide MVK, notes, and references as needed
05

Skim concepts at high speed

  • Use Index mode for ultra-fast review across many concepts
  • Move quickly through your knowledge with minimal friction
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06

Review by subject

  • Open a subject and review all related concepts in one place
  • Create your own concept order so concepts build on each other more intuitively
07

Log study sessions

  • Keep track of your study time and build consistency
  • Log study sessions by subject and keep a history of your efforts
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08

Track your progress

  • View study activity, concept inventory, and metadata catalogue in one place
  • Keep meaningful statistics that support long-term learning
The idea

A simple system for long-term learning

  • —Learning systems work well at a small scale, but become unmaintainable as they grow over time.
  • —As the system grows, it becomes more difficult to organize, review, and retain knowledge.
  • —TortugaIQ is built around the concept as the basic unit of knowledge.
  • —Each concept has a minimal representation, or “Minimum Viable Knowledge (MVK)”, which is the smallest amount of information worth remembering.
  • A clearly defined concept name gives the mind a stable reference point
  • A well-thought-out MVK reduces the idea to a highly compressed, usable, and memorable representation
  • This makes the link between the concept and its representation much easier to form from the start
  • That pairing alone can already create surprisingly strong initial memories
  • The concept name can then act as a reliable trigger for recalling and reinforcing the MVK
  • Later review strengthens the link, but the structure already works from the beginning
  • This structure also supports easy, targeted review, regardless of the size of the knowledge base