A content-index attempt that failed (raster failure, a scan with no
text layer, a provider error) recorded its reason only in the server's
observability stream. In the vault, hasContentIndex false looked
identical for a document nobody ever tried and one that failed three
times, and the detail sheet had nothing to say about either.
Apply the summaryState pattern to the index. Two additive columns on
InboundDocument (migration 0333) record when the last attempt finished
and why it produced no index, as a closed reason set: local-empty,
local-unsupported, decrypt-error, raster-failed, provider-error,
pdf-needs-anthropic, empty-transcription. The writer sits at the choke
point the auto job and the corpus backfill share, and in the manual
index route; a success clears the reason. The provider path's specific
failure now survives the local fallback, since "no text" is less
actionable than "the PDF would not render". rasterizePdf names its
failure class so a build that cannot rasterize at all is distinguished
from a PDF that would not render. New guard in both index paths: an
empty provider transcription never becomes a successful empty index.
The detail sheet renders the reason in plain words (muted, six
locales). The DTO and OpenAPI carry the two fields; the disaster
recovery backup and restore carry them verbatim like their summary
siblings.
Refs #776
The schedule exporter enumerates columns, so the new per-schedule
units-per-dose needs adding by hand: export it as a Decimal string in
the disaster-recovery payload, accept it in the wire schema, and write
it back on restore (NULL stays NULL to inherit). Extend the round-trip
test to prove a half-tablet slot survives export and re-import.
Register the three encrypted emergency columns in the rotation registry
and the key-rotation script so a legacy-key drop cannot strand them.
Carry all six new columns through the profile backup builder and restore
(the enums by value, the free text as ciphertext in a DR payload or
decrypted plaintext in a portable export) and extend the wire schema.
The full-backup round-trip integration test seeds the six columns and
asserts each survives an export and restore.
- a new backup section reads the dose and its document link through
their own delegates and writes both ends in one file, the arrangement
the visit section already uses
- the practitioner and the visit remap to the rows the same restore put
back; the booster reminder never travels, so its reference resolves to
null and the drop is reported rather than swallowed
- the antigen slug restores verbatim: a slug the catalogue has since
dropped still says what a person was given
- the round trip seeds a dose with every optional column filled and
reads each one back, so a returning row count cannot stand in for a
returning record
- the completeness guard now binds a third model, MoodContext, to a named
select; the four omitted columns each carry the reason the backup is right
to drop them
- the disaster-recovery arm carries the ciphertext, the portable arm the plain
text, and every other column rides in both
- the restore rebuilds the context after its entry, inside the same
transaction, and a file written before contexts existed restores without one
- the round trip asserts the restored row by value, zero included
A person's whole 'which doctor' history was one free-text column on a
reminder: they typed the practice name once and could reach nothing else
that happened there. This turns that string into a record.
Five tables in migration 0320, all additive: an encounter that happened
or is booked, the account's own address book of practitioners, and three
links from a visit to the documents, lab results and conditions it
produced. The encounter is slim on purpose — the diagnosis stays on the
linked condition, the address on the linked practitioner, and the reason
each field was kept or cut is written at the model. No module gate, and
the schema says why rather than leaving the absence to be read as an
oversight.
Every carrier lands with the tables rather than after them. All five are
classified as travelling both ways and are proven doing it: a seeded row
of each goes out through the real export builder, the account is deleted
so the schema's cascade decides what survives, and the rows are counted
back through the real restore route. Two references deliberately do not
survive and are named instead of dropped quietly — the reminder a visit
points at is not in the backup, and a link whose far side a portable
export does not carry cannot resolve. The wipe plan deletes the links
before the lab results and documents they hang off, or the audit row
would report zero for rows that existed. The three encrypted columns are
registered for key rotation, without which dropping a legacy key would
make those notes permanently unreadable.
Widening the reminder origin enum is a type error at the reminder DTO,
which is the right outcome: the mapper now refuses an appointment row
outright rather than relabelling it as a checkup.
- the backup select and the payload carry all five, on both the portable
and the disaster-recovery arm
- the restore writes what the file holds and nothing else: a file from
before these columns restores them empty rather than deriving them
- the CSV appends them after the existing columns so nothing shifts under
a spreadsheet, and an unanswered value is an empty cell rather than a
zero, which is a real answer on this scale
- the round trip asserts each of the five by value, including a zero
A lab runs its own method on its own device, so the window a physician
evaluates a value against is the one printed next to it on that report,
not a catalog band averaged over every lab. Reading a report pulled the
value and dropped that range: the extraction asked for it, the commit
handed it to the biomarker resolver, and the resolver only uses it when
it mints a NEW marker. For every analyte the user already had — the
normal case after a first panel — the printed range was read and then
thrown away.
Add `sourceReferenceLow` / `sourceReferenceHigh` / `sourceReferenceText`
to `LabResult` and carry the range from the report to the reading. The
text is stored whether or not numbers can be read out of it, because
"bis 5,0" and "negativ" state a window too; a range that could not be
parsed is kept verbatim, never replaced with invented bounds.
`resolveEffectiveReferenceRange` is the one place the precedence lives:
the source window wins for that single reading, and the catalog stays
the net for readings without one. A printed string with no derivable
bound does not displace the catalog. Every surface that judges a
reading routes through it — the API verdict, the doctor report, the
insights blocks and per-marker assessment, the coach snapshot, the MCP
read and the FHIR `referenceRange` — so a value cannot read in range on
one surface and out on another.
The API keeps `referenceLow` / `referenceHigh` as the window in force,
so a client that reads only those two renders the right range and the
right verdict with no change of its own; the catalog band, the source
window, its origin and a divergence flag ride alongside for clients
that want to show both.
Read side: the chart draws the source window as a second, visually
distinct band with the reading it came from named beneath it, the
reading rows name the printed range and the catalog band where the two
disagree, and the doctor-report PDF prints the report's own string with
a footnote naming the saved range. Entry side: one optional field on
the lab form, folded away until asked for, and the printed range is
editable on the scan review screen.
The range parser covers the notations German and English reports
actually print — two-sided, one-sided, comma or dot decimals, thousands
separators, trailing units — reads units without ever converting them,
and refuses to guess on anything ambiguous.
`moodEntrySchema` gains `note`, `noteEncrypted`, `tz`, `syncedAt`,
`syncVersion`, `createdAt`, `updatedAt` and `structuredTags`; every one of
them optional or defaulted, so a backup file written before this parses
unchanged and restores exactly as it did.
The restore writes them. The note follows the measurement pair: ciphertext
verbatim when the file carries it, a portable file's plaintext re-encrypted
on the way in, legacy column null either way. `tz` absent still means the
legacy Europe/Berlin reading, which is what those rows meant. `syncVersion`
comes back at the value the file recorded — restoring at the default handed
the next round to any paired device holding a higher number, and the device
would then overwrite the recovered entry with what it had.
The link rebuild re-creates both arms: rated factors from `factors`, ticked
tags from `structuredTags` with a NULL rating. An unresolvable tag key is
reported under its own `moodTag` family, beside the rated one, because an
operator needs to know which of the two an entry lost.
MedicationSideEffect was classified as backed up and was not carried: the
export wrote nothing and the restore had nothing to read, so a restored
account kept the drug and lost the reason someone may have stopped taking it.
Delegated write access sharpens that — a side effect is one of the things a
second person can contribute, and it was the contribution a restore dropped.
The rows ride inside their medication, like the schedules beside them. A
top-level array would have to carry `medicationId` and survive a restore that
mints a fresh id for a portable file, which is the remap the intake events
already work around by drug name; a nested create has no id to remap, because
Prisma binds the child to whatever id the parent row actually got.
The note follows the measurement contract for the same dual-column
arrangement: a portable export carries the decrypted note and no ciphertext, a
disaster-recovery payload carries the ciphertext verbatim, and the restore
re-encrypts a legacy plaintext row rather than writing plaintext back into the
column.
Move the model from COVERAGE_PENDING to TWO_ENDED_MODELS, and settle the claim
where a written verdict cannot: the round trip seeds a side effect, exports
through the real builder, empties the account and reads the row back out of
the real restore route with its category, entry, severity and note intact.
Both halves were excised to check the test can fail — the restore branch turns
the count red, the payload turns the field values red.
A new user-scoped table is outside all three by default, and the two
structural guards said so the moment the model landed: the wipe plan and
the backup verdict list both named it as unclassified. It now joins the
wipe list, rides the backup payload as its own spread section, and comes
back through the restore route.
The classification guards only prove a helper exists in a declared file, so
they would pass an unreferenced restore helper. The integration round trip
goes through the real admin restore route instead, with the table emptied
first so a restore that carries nothing cannot pass by leaving what was
already there.
The admin panel offered a toggle for the Health-Score explainer and
described it as the ? next to the delta line. That ? had already been
taken off the insights surface a release earlier, and the caption that
replaced it went away entirely when the health score was replaced by
the reference composite. Since then an operator could turn the switch
off, get a saved confirmation, and change absolutely nothing.
The toggle, its wording in all six languages, its place in the flag
matrix the app and the iOS client both read, and its column on
app_settings are all gone. Nothing is left to promise a control that
does not exist.
A guard goes in with it: every remaining assistant sub-flag has to be
read by some surface, and the panel and the plumbing that carry all of
them by construction do not count as proof.
A cycle symptom can be recorded with a 1-4 intensity. The log-day sheet
writes it, the day-log reads it back, and the backup never carried it:
the file held the symptom keys and nothing else. Export a day recorded
as "cramps, and they were a 4", restore it, and you get "cramps". The
symptom is there, the number is gone, and nothing fails, which is why
nobody noticed.
The file now carries `symptomSeverities` alongside `symptomKeys` — one
entry per symptom that was actually rated. `symptomKeys` still decides
which symptoms a day had, so a release that only knows that field reads
every symptom out of a new file unchanged, and the two lists can never
disagree about presence. A link nobody rated is simply not listed: no
entry means never rated, which is not the same as rated zero.
A file written before this restores exactly as it did, with every
intensity absent rather than invented. An intensity outside 1-4, from a
hand-edited file or some later scale, costs that one number and leaves
the symptom and the rest of the restore alone.
`IntradayCumulativeProfile` shipped classified as backed up and carried by
nothing. The drain folds the per-sample rows into twenty-four running totals
and deletes the originals in the same transaction, so past the grace window
the table is the only copy of a day's curve: a restore rebuilt the account
without it, reported success, and left the same-time baseline reading "still
learning" for a fortnight.
Builder and restore sit together in one file, the way the profile and cycle
pairs do, because the restore route delegates and a grep of the route alone
lies. The section spreads into the payload rather than being copied key by
key. Two curves for the same metric and day, or a curve that is not a whole
day, throw naming the day instead of writing a row every reader drops.
The pair is proven end to end rather than at each end: the round-trip suite
builds a real payload from a populated account, serialises it, parses it back
through the real parser, drives the real restore, and asserts on the rows
written. Remove the read and it goes red.
Both were classified as backed up when the backup plan was written and carried
by nothing. The custom metric is live data loss: a series the account defined
itself is the one kind no integration can re-sync, so a restore rebuilt the
account without the metric and every one of its readings, and reported success.
Builder and restore live in one file beside each other, the way the cycle pair
does — a grep of the restore route alone does not find either, because the route
delegates to both.
Readings nest inside the metric that owns them rather than referencing it by
name, so the restore has no parent to look up and no lookup to miss. A duplicate
metric name and an undecodable ciphertext field both throw and name the value.
Intake events whose medication did not restore now throw with the unresolved
reference instead of being filtered away into a dose history that comes back
short while the restore reports success.
Four things an independent read found, three of them things this release said
about itself that were not true.
A custom mood tag travelled without its label, its icon, its sort order and
its SCALE. The label is the smaller loss: the person who named a factor
"Migräne" would have got a key back. The scale is the real one — the inverse
flag marks a factor where a high value is bad, and dropping it does not lose a
label, it silently reverses the meaning of every rating already recorded
against that tag. Custom cycle symptoms lost their label the same way. Both
now carry the ciphertext verbatim, like every other encrypted column in a
disaster-recovery payload.
The plan file claimed, in the present tense, that a guard requires both a
payload reader and a restore branch for every carried model. No such guard
exists. The commit that introduced the file said so honestly; the file itself
said the opposite, and roughly 31 models have neither end. BACKED_UP means
"must be", not "is", and both the plan and its test now say that plainly. The
wrong sentence is recorded rather than quietly swapped, because it is the same
defect the file was written to prevent.
The export route still told operators that labs, allergies, illness episodes
and workouts could be exported but never restored. The restore route
re-creates all of them, and since this release nutrient day totals too. The
scope now points at the plan instead of repeating it beside the code, which is
how that sentence came to be wrong.
And the export card promised "every record you own". It does not, so it no
longer says so — six locales.
The restore resolves a mood entry's rated factors by key and asks only for the
seeded catalogue. A tag the user created is not in it, so the lookup came up
short and the whole restore threw 'Unknown mood factor keys'. The file was
complete; it simply could not be read back.
That is the same cause as the cycle symptoms two commits ago, with the
opposite ending. There, an unresolvable key was filtered out and the loss was
silent. Here it stopped everything. One shape of missing definition, two
answers, neither of them the right one.
The account's own tag definitions travel now, get written before the factors
resolve, and the lookup accepts the seeded catalogue or the owner's own. The
seeded rows stay out of the file for the same reason as before: a restore must
not rewrite another instance's reference data.
Four more test mocks needed the new delegate, which is again the compiler and
the suite naming the call sites rather than me hunting for them.
The export has written nutrient day totals since v1.29. The canonical schema
never declared the field, so `.passthrough()` carried it through parsing and
no reader ever looked at it: every water and vitamin total in the file was
discarded on restore, and the restore reported success.
Declared in the contract, cleared and re-created beside its siblings, and
counted in both places that count — what the file holds and what the restore
replaced. A count that stops at the domains someone remembered is how this
stayed quiet.
restoreCycleData was loud about one missing reference and silent about
another, three lines apart. An unknown cycle reference threw; an unknown
symptom key was filtered out of the list, so the day-log came back with one of
its symptoms quietly gone and the restore reported success.
The cause was upstream: the seeded catalogue is reference data every instance
has, but a symptom the user created lives only in their account and was never
carried. The key had nothing to resolve against, and the filter turned that
into silence.
Both ends now. The account's own definitions travel with the backup, the
seeded rows deliberately do not — shipping those would let one instance's
restore rewrite another's reference data. And the resolve step throws on an
unresolvable key rather than filtering it, so the same function answers the
same question the same way twice.
Widening the builder's client type made four export tests fail on a missing
delegate, which is the sweep working: those are the call sites, named by the
compiler instead of found by reading.
The disaster-recovery backup selected every Measurement scalar except the
aggregation fields, so a restore brought every `stats:` aggregate back with no
provenance and the Apple Health authority ladder came back flat: an export.xml
source-day estimate could then overwrite a native HealthKit statistic.
`aggregationProvenance` now rides the select, the disaster-recovery
serialization, the payload schema and the restore mapping, following
`externalSourceVersion` exactly — including staying out of the reduced
portable shape, which carries the human-readable subset only. The schema field
is optional, so every backup written before this parses unchanged.
Restoring one of those older backups no longer recreates the ambiguity
migration 0263 repaired: an Apple Health row under a `stats:` identity with no
provenance comes back as LEGACY_UNKNOWN, the sentinel the cumulative drain
already writes in that situation, so a native sync or archive reprocess can
repair it. The gate is scoped as 0263 scoped its backfill — other providers
mint `stats:` identities for their cumulative dailies and have never carried
provenance, and ordinary point rows keep NULL.
Mood has been a first-class module here for a long time, with entries,
structured tags, rated factors and notes. The bridge to the external moodLog
service had nothing left to add, and its Settings card was withdrawn in
a56e6fe61 on the promise of a dedicated removal. This delivers it.
Removed: the hourly `moodlog-sync` queue, cron and handler binding; the
inbound webhook and its shared-secret handling; the reverse push and its four
call sites; the pull-sync module; the per-user credential routes and the
instance-wide toggle; the entry on the `/api/integrations/status` envelope,
the `IntegrationKey` union, the cadence map and the display-name table; the
boot-time secret rotation pass; 22 message keys per locale.
Migration 0271 drops the five `users` credential columns and
`app_settings.mood_log_global`, clears the ledger row for the provider, and
deletes the retired pg-boss schedule so no cron keeps enqueuing work no
handler drains.
Mood data is untouched. `mood_entries` is not named anywhere in the migration
and cannot be reached from it: the dropped columns carry no index, constraint
or foreign key, and `mood_entries.user_id` references `users(id)`, not any of
them. Rows the bridge imported keep `source = 'MOODLOG'`, and every read path
- list filter, source badge, exports, backups - still resolves that value.
`src/lib/validations/moodlog.ts` held the native mood-entry schemas alongside
the bridge's own; it is now `validations/mood.ts` and carries only the former.
The full-backup export (plaintext + passphrase-encrypted, and the weekly
auto-backup) only ever covered measurements, medications, mood, and cycle
data. Labs, illness episodes, allergies, family history, and workouts were
silently missing, and the export UI implied "everything" was included.
Adds a shared records-backup section (src/lib/export/records-backup.ts) that
both the on-demand export routes and the weekly data-backup worker read from:
lab results + the biomarker catalog, illness episodes (including flares via
parentConditionId) with their day-logs, allergies, family history, and
workout summaries. Every read is owner-scoped and soft-delete-filtered;
encrypted free-text columns decrypt fail-soft so one bad row never aborts
the whole backup.
Document original files and workout GPS/per-sample time series stay
deliberately out of the JSON payload (size). The payload now carries an
explicit manifest disclosing exactly that, and the export UI states it in
plain text instead of implying completeness. These new domains are
export-only for now — admin restore still only recreates the original
measurements/medications/mood/cycle domains; the payload validates and
reports counts for the rest, but restoring a snapshot does not yet recreate
them.
Also fixes the admin backup-upload total to count every domain, not just
the original four.
Let a user pick the Sensiplan double-check's second indicator — cervical
mucus (default) or cervix observation — mirroring the published NFP
standard where the temperature primary sign pairs with one chosen
secondary sign.
- `CycleProfile.secondarySymptom` (MUCUS default | CERVIX) drives which
second sign the engine confirms against. Casual users keep temperature
+ mucus untouched; the choice lives behind the advanced cycle settings.
- `CycleDayLog` gains the three standard cervix signs — position
(LOW/HIGH), firmness (FIRM/SOFT), opening/os (CLOSED/OPEN) — as nullable
columns (migration 0157), wired through Zod, the day-log upsert, the
DTO, the sync feed, backup/restore and OpenAPI. Additive and
back-compatible: existing profiles backfill MUCUS, existing day-logs
keep NULL cervix signs, iOS inherits the fields.
- The engine's `confirmSymptothermal` takes the secondary-symptom choice;
on CERVIX it confirms against `detectCervixPeak` (last fertile-cervix
day followed by three closed days — the cervix-closure rule) instead of
the mucus peak. The double-check still requires BOTH the temperature
shift AND the secondary peak: a single cervix sign never confirms, and
the still-learning gate and conservative posture are unchanged.
Engine derived clean-room from the Arbeitsgruppe-NFP / Raith-Paula &
Frank-Herrmann standard.
A fever, illness, alcohol or a late/short-sleep reading can fake or mask
a temperature rise. Add a per-day `temperatureExcluded` flag on
CycleDayLog (migration 0156): when set, the engine drops the reading from
the cover-line baseline AND the shift evaluation, so a spike neither
fabricates nor masks a rise (Sensiplan: the cover line is drawn over the
last six unbracketed values).
Wired end to end — schema + Prisma, the engine's `detectTempShift`
filter, the Zod input/patch schemas, the day-log upsert (partial merge +
change detection), the read DTO, the calendar/insights/coach selects, the
backup round-trip, and the OpenAPI contract (a new boolean on the day-log
and calendar-day DTOs for the iOS client). The log-day sheet gains a
"mark reading as disturbed" toggle that appears once a temperature is
entered, translated across all six locales.
Citation: de.wikipedia "Symptothermale Methode"; myNFP "Temperaturkurve
auswerten" — Störfaktor bracketing.
- When the sensitive-category encryption preference is on (the default),
encrypt the intent-revealing day-log fields (sexual activity, protection,
pregnancy/progesterone tests, contraception) into an encrypted envelope and
leave the queryable columns null, decrypting on read. The toggle now does
what it says rather than storing those fields in plaintext.
- Make the day-log write a partial merge so a re-log only overwrites the
fields it carries, never nulling untouched ones (no more data loss when the
same day is logged again).
- Make the upsert collision-safe: a manual entry and an imported entry on the
same date adopt one canonical row instead of throwing, and the single POST
returns a clean conflict rather than a 500; one bad date no longer aborts a
whole import.
- Compare the decrypted note, not the ciphertext, so an unchanged re-log is a
true no-op and stops needless re-sync.
- Hoist cycle attribution out of the per-entry loop; map bulk failures to
stable reason codes; audit the import goal change; mask the event name in
discreet reminder pushes; add a one-tap hard-delete purge for all cycle data.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Promote the reproductive HealthKit category types out of the
Apple-Health-import privacy-hold list and route them into cycle day-logs
instead of measurements, and surface cycle data on the three export
surfaces.
Import promotion:
- A new HealthKit -> cycle mapping module is the single source of truth for
how MenstrualFlow, IntermenstrualBleeding, CervicalMucusQuality,
OvulationTestResult, SexualActivity, PregnancyTestResult,
ProgesteroneTestResult, Contraceptive and the symptom category types fold
into CycleDayLog fields / seeded symptom keys. The XML importer
accumulates same-day reproductive samples and writes one canonical
day-log per day with source APPLE_HEALTH and a synthetic per-day
externalId for idempotent re-import. The fold is gated on cycle tracking
being enabled, so a non-cycle export never provisions cycle rows. A
contraceptive method nudges the profile goal toward avoiding pregnancy
only when the goal is still on its default. Basal body temperature stays
a measurement and mirrors onto the day-log. Pregnancy/Lactation status
and the pregnancy-bleeding types stay deferred; the cycle awareness types
remain server-derived.
Export:
- FHIR emits LMP (LOINC 8665-2), average cycle length (64700-8), period
length (64698-4) and the current phase as opt-in reproductive-health
observations grouped into their own document section.
- The doctor PDF gains an opt-in cycle section (recent cycles, average
length and variability, current phase), privacy-default off like mood.
- The full-backup export, the weekly backup worker and the off-host DR
snapshot include the cycle tables, and the admin restore re-creates them;
the day-log note round-trips as ciphertext and is never decrypted onto a
report surface.
Mapping table documented in docs/api/cycle-healthkit-mapping.md. Adds unit
+ integration coverage for the mapping, the import routing, the FHIR
observations and the backup round-trip. OpenAPI regenerated. Six-locale
strings added.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
`MoodEntry.tags` is stored as a JSON-array-as-string in
`mood_entries.tags`. The backup schema accepted any string here, so a
malformed blob (or a tampered backup) would persist into the DB and
crash downstream readers that blindly `JSON.parse` it. Restore-time
validation now refines the field to one of:
- null (or omitted) — no tags on this entry
- "" — legacy moodLog wire format (treated as null)
- a JSON string that parses to an array of strings
Anything else fails Zod with a 422 from the restore endpoint instead
of bubbling out of `prisma.createMany` with an opaque message. New
unit-test file covers the three accept cases plus three reject cases
(non-JSON, JSON object, JSON array of non-strings).
Phase A5 / B-mobile CRITICAL #2: at 393 CSS px the desktop user table
truncated the role badge ("ADMI", "USE") and pushed the action column
entirely off the right edge. The destructive force-logout action was
unreachable on mobile, plus the card-header filter pills collided
with the title's count badge.
Fix:
- Header switches from horizontal to vertical stack at `< sm` so the
filter pills get their own row instead of fighting the title for
space.
- Card padding `p-4 sm:p-6` matches the api-tokens responsive
template.
- Desktop table is gated behind `hidden md:block` (instead of just
letting it overflow).
- New mobile card-list at `< md` renders each user as a self-
contained card with the username + role badge + meta line + a
flex-wrapping action row carrying all four buttons (toggle role,
edit, reset password, force logout). Nothing hidden behind a
horizontal scroll, every action stays tap-targetable.
- Action buttons extracted into a single `renderUserActions()` helper
so desktop + mobile stay in lock-step on future admin actions.
Evidence: new `user-management-responsive.test.tsx` asserts the
desktop table is `hidden md:block`, the mobile list is `md:hidden`,
the role badge appears in both layouts (no column lost), all four
ARIA-labelled action buttons are present in the mobile card, the
header stacks on `< sm`, and the card uses `p-4 sm:p-6`. 6 / 6 tests
green.
Findings ID: A5/CRITICAL-#2 (top of `.planning/phase-A5-mobile-findings.md`).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Marc-André Bombeck