// VERIFIED_PRODUCT · Learning Product

MEMO // FLAGSHIP● LIVEYEAR: 2024–2026

Memo

A calm vocabulary retention system designed around context, spaced repetition via the modern FSRS model, and an attention-respecting review rhythm.

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MEMO // CONTEXTUAL RECALL SURFACE
MODEL: FSRS-4.5STATE: DUE FOR REVIEWCALM INTERACTION
CAPTURED FROM: ARCHITECTURE DECISION RECORDRETRIEVAL PRACTICE

Ephemeral

/ɪˈfɛmərəl/ · adj.

Lasting for a very short time; transitory; impermanent.

// ORIGINAL ENCOUNTER CONTEXT

“Client state transitions remain ephemeral until the underlying database transaction finalizes.”

<10mAgain
1.2dHard
8.0dEasy
01 / The Challenge & Context

The Operational Problem

Learners collect vocabulary from reading and conversations but forget it rapidly. Traditional flashcard apps overwhelm users with streak anxiety, high review backlogs, and cards stripped of original reading context.

02 / System & Design Architecture

User Flow & Ergonomics

Contextual sentence mining via Chrome extension → Automatic tokenization & difficulty indexing → Free Spaced Repetition Scheduler (FSRS) scheduling → High-focus Remember / Forget review surface.

KEY TRADE-OFF // FSRS OVER LEGACY SM-2Adopted the modern Free Spaced Repetition Scheduler to account for memory retrievability and card stability dynamically rather than relying on brittle heuristic decay factors.
03 / Verifiable Outcome & Learning

Impact & Retrospective

Review sessions feel sustainable over multiple months. Keeping original sentence context dramatically improves recall speed during reading.

LEARNING:The hardest UX challenge in spaced repetition is not the scheduling math—it is preventing review backlog fatigue so the learner actually returns tomorrow.
[CURRENT CAPABILITIES]
  • Contextual sentence capture from web browser extension
  • Modern FSRS spaced repetition review intervals
  • Two-button Remember / Forget cognitive friction reduction
  • Zero-streak calm user interface architecture
  • Cross-device progress synchronization
[NEXT / EXPLORING ROADMAP]
  • Audio pronunciation context synthesis
  • Collocation extraction across reading logs
  • Custom vocabulary deck exporting