She's submitting work that gets run through an AI detector and wants to
pre-check she won't be wrongly flagged. Petal should not answer that with
a detector of its own: they misfire badly on non-native English (Stanford
2023 found >50% of TOEFL essays flagged as AI vs. near-zero for native
writers), so a percentage aimed at an ESL writer is worse than nothing —
it either scares her off her own voice or gives false comfort.
So the artifact is provenance, not a verdict. Petal already snapshots
every ~3 minutes; this turns that history into a standalone printable
report: session breakdown, word-count growth, span, active time. No score
is emitted anywhere.
Two schema additions back it. preserve_history opts a document out of the
40-snapshot prune cap — right for recovery, wrong for provenance, where
you want the whole span including the oldest rows. content_hash/prev_hash
chain each snapshot to the one before it, so a history edited or thinned
after the fact fails verification. Pruning legitimately severs links, so a
link break reports as "gaps" unless preserve_history is on; only a hash
that fails against its own contents is unconditionally "broken".
The chart's x axis is snapshot order, not wall-clock, and that is the load
-bearing decision. On a linear time axis an essay written in three
sittings across three days renders as three vertical cliffs separated by
empty space — visually identical to text pasted in three chunks, i.e. the
report would have argued the opposite of the truth. Breaks are compressed
into explicitly labelled gutters instead. TestChartGivesWidthToWriting
pins it.
The report volunteers its largest single word-count jump and states its
own limits: it cannot show who was at the keyboard, or whether typed text
was composed or copied in. Overclaiming would be self-defeating — a reader
who catches it overstating discounts all of it.
HTML rather than server-rendered PDF, as with the other exports: a CJK-safe
PDF needs an embedded Unicode font or a headless browser. Print styles are
there so the browser's Save as PDF is the handoff path.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Backend:
- Extract shared internal/httputil (WriteJSON/ErrorJSON/BadRequest/
ServerError); drop the triple-duplicated helpers in docs, suggestions,
vocab. ServerError now logs the real error and returns a generic 500 so
raw DB/internal errors never reach the client.
- vocab capture: validate doc_id ownership (blank -> none, unknown -> 400
instead of a leaked FK 500); rune-safe clamp word/gloss/definition/
phonetic/example.
- vocab review(): wrap the read-modify-write in a transaction (TOCTOU).
- /api request-size cap via MaxBytesReader middleware (2 MiB), exempting
/api/images (own 10 MiB limit).
Frontend:
- StatusBar: drive the checking/voicing/collocating indicators from one
array; llmDown uses !anyBusy.
- Slide-overs: new useFocusTrap hook (focus-in, Tab trap, focus-restore)
on GardenPanel + HistoryPanel, both role=dialog/aria-modal/aria-label.
- speech.ts: export stopSpeech(); GardenPanel cancels audio on unmount.
Tests: add doc_id-validation and field-clamp coverage; full suite green.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Cross-document FTS5 search (trigram tokenizer for EN + space-free CJK, kept in
sync by triggers, back-filled from existing docs). GET /api/search uses the FTS
index for queries >=3 runes and a LIKE fallback for 1-2 (so 2-char Chinese words
resolve); snippets are built in Go with rune-aware boundaries and sentinel
highlights.
Tags: user-scoped tags + document_tags join (both cascade), idempotent
create/assign, per-tag doc counts. Doc list and search carry each doc's tags
(one tagsByDoc query). Frontend: useTags, TagChip/TagPicker/SearchBox, rewritten
DocList with chips + filter bar + search.
Tablet/touch: responsive sidebar drawer (hamburger + scrim <768px), coarse-
pointer tap targets, tap-to-open + outside-pointerdown-close for suggestion
cards.
Warm LLM-down state: useCheckpoint llmDown flag drives a gentle bilingual
StatusBar note (writing still saves locally).
Migration 0004 (tags + FTS). Tests: tags lifecycle, search EN/CJK/LIKE/update-
reindex. go build/vet/test, tsc, vite all clean; verified live on deployment host.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Version history: new document_versions table (migration 0003) holding
full-body snapshots that cascade with the doc. Throttled auto-snapshots
on save (>=3min apart, max 40/doc, pruned), explicit manual restore
points, and a pre_restore safety copy taken before each restore so
restoring is itself undoable. Endpoints under /api/docs/:id/versions,
all owner-scoped. Empties and bare renames never snapshot.
Export: pure-Go Tiptap-JSON -> Markdown / HTML / plain-text / docx
(no cgo/pandoc, single-binary intact), CJK-safe with RFC 5987
filenames. docx is a hand-built OOXML zip. PDF is handled client-side
via the browser print dialog + an @media print stylesheet so CJK
renders with the reader's own fonts.
Frontend: ExportMenu (downloads + Print/PDF) and HistoryPanel
(snapshot list, preview, restore) wired into the title row; bilingual
zh-first to match chrome. Restore remounts the editor via editorEpoch.
Stop saving empty docs: blank Untitled drafts now reuse-on-create and
self-discard when navigated away from (refs avoid stale closures).
Tests: versions_test.go, export_test.go (incl. valid-zip docx).
go build/vet/test, tsc, vite build all clean; live end-to-end smoke
verified snapshot/throttle/restore/export.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Four enhancements to make the editor fit real school usage:
- Per-document tone (academic/professional/casual/humorous/creative/
persuasive/general): new documents.tone column (migration 0002), threaded
through the docs API, a bilingual ToneSelect dropdown on the title row, and
injected into the grammar-checkpoint LLM prompt so advice fits the register.
The voice pass stays tone-agnostic.
- Right-click word lookup: a new offline `lexicon` package serves definitions
(Wordset, modern ESL-friendly glosses) and synonyms (WordNet synsets first,
then frequency+stopword-ranked Moby for breadth) from gzipped embedded data,
behind /api/word/{word} with light morphology. The WordCard popover shows the
definition and tappable synonym pills that swap the word in place.
- Expanded writing stats: clicking the word count opens a StatsPanel with page
count, sentences, paragraphs, reading time, average word length, word variety,
and Flesch-Kincaid reading level — all computed client-side.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
Backend internal/docs: chi sub-router (list/create/get/update/delete)
mounted at /api/docs, scoped to the local user. Create uses RETURNING;
update is a COALESCE partial-update so rename and full editor save share
one PUT. JSON 404/400 errors; handlers_test.go walks the lifecycle.
Frontend: api/client.ts, useAutoSave (1.5s debounce + saveNow flush
before doc switch), EditorCore (Tiptap StarterKit/Underline/TextAlign/
Placeholder/CharacterCount) + Toolbar, DocList/DocListItem, StatusBar,
and an App.tsx that orchestrates load/select/create/delete with
optimistic sidebar patching. content + content_text + word_count are
emitted together on every edit. .petal-prose styling (Lora body, Nunito
headings).
Verified: tsc clean, vite build, go build, full CRUD smoke test incl.
CJK title round-trip and SPA serve.
Claude-Session: https://claude.ai/code/session_016Yr6jELuRc7hyzYLccQKZd
prosolis