The seed pre-marked the artifact's 30 headwords secure on first run. Two
reasons it is gone rather than merely disabled:
It was never 30 cards. The match was on headword, and homographs each
carry their own lemma, so 그 as pronoun and as determiner both matched —
47 rows for a 30-word list.
Worse, "Reset everything" deleted the cards and then deleted the
'seed.known' guard along with the other meta keys, so the next boot
re-seeded and the deck looked untouched. The one thing a wipe exists for,
undone by the wipe itself.
Migration 5 clears the seed from installs that already have it. seedCard()
is the only writer that leaves updated_at = 0 on a card and the seed was
its only caller, so `DELETE FROM card WHERE updated_at = 0` removes exactly
the seeded rows and nothing the learner graded — the timestamp rule paying
for itself a second time.
test/domain/reset.test.ts pins both scopes: what a full wipe must leave
empty, what a roadmap reset must keep, that the deletions are tombstoned
so a sync cannot restore them, and that migration 5 really runs against a
schema-4 database rather than the test performing the delete itself.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
React + Vite + TypeScript, PWA, offline-first. Six tabs: 수업 오늘 단어 문장
문법 한글, plus the full-screen SRS review overlay, the reading drill, the
conjugation trainer and the 두벌식 keyboard.
The visual language is carried over deliberately: two hand-tuned palettes,
three type stacks, about a dozen component classes, zero border-radius and
no icons anywhere — Korean glyphs do the work icons would.
THE GATE is the reason this app exists. buildGate() already took a
vocabQuery hook; filling it with a band query is what turns 371 hand-typed
words into something that scales. Three refinements sit inside that hook,
all of them narrowing:
1. words a not-yet-finished unit is the first to introduce are excluded,
so a frequency ceiling cannot smuggle 3.4's material into 2.1;
2. Phase 1 is filtered by the phonological ladder;
3. the list is capped at 800 by frequency, because renderGate() inlines
it into the prompt — strictly more restrictive than the band, so it
cannot leak.
prompt/tutor-system.md ships unchanged with {{GATE}} filled by renderGate().
Confidence is clamped per turn. The artifact wrote the model's ::progress
number straight into the sole gate on advancement, so one hallucinated 95
skipped a unit.
stub-tutor.ts stands in for the model on the artifact's exact contract —
onText receives cumulative text, an aborted turn keeps what it streamed —
so the real endpoint drops in without touching the UI. It rotates all four
task types and climbs progress gradually, which makes every render path
reachable with no server.
Two artifact bugs are not ported: task state lived in the full-page
re-render, so anything arriving mid-answer wiped typed text and placed
chips; and the day number was computed once at module load, so a session
left open overnight scheduled against yesterday.
Verified in a browser: all six tabs work, and after a hard reload with the
network cut every tab still works — including dictionary search out of OPFS.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Closes REVIEW.md §2. 167 of 371 roadmap words had no lexicon entry, so the
word rail silently showed nothing. Now:
Roadmap words: 371/371 resolve
Spiral targets: 35/35 resolve
Deck words: 386/386 resolve
and npm run dict:assert makes it a blocking build failure, not a silent
empty rail.
No runtime morphological analyser ships. lib/conjugation.js surfaceForms()
runs at BUILD time over every verb and adjective, so looking up a conjugated
form is an index hit on the surface table.
The frequency join had to be inverted. A subtitle frequency list holds
surface forms; a dictionary holds lemmas whose -다 citation form barely
occurs in running text, so joining on headword gives verbs a frequency of
roughly zero. Expanding each lemma into the forms it plausibly takes and
summing recovers 하다 from 118 to 89,041. Forms claimed by more than one
lemma are dropped rather than split, so homographs don't inherit each
other's mass. Those expansions score frequency only — the surface table
itself stays strictly surfaceForms() output plus the headword.
Bands are one per curriculum phase. Phase 1 admits no frequency band at
all: during the writing-system phase every word must be phonologically
legal for the unit reached, and a rank ceiling would hand the learner a
겹받침 during unit 1.4. shared/phonology.mjs lifts validate.mjs's own
feature ladder to enforce that; it agrees with the validator on all 371
words.
Sources are chosen automatically — KRDICT when vendored, otherwise the
kaikki.org extract. KRDICT's download is a JS form behind anti-bot
protection, so it cannot be fetched by CI; the derived band files are
committed instead, which the app needs offline regardless. Attribution and
the share-alike terms are in NOTICE.md.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
