Add a CoachPlan model: durable, user-scoped if-then implementation plans
the Coach proposes and the user confirms. The background memory-refresh
pass extracts plans the user agreed to and writes them as "proposed"; only
the user-facing PATCH on /api/coach/plans/[id] activates one. The free-text
cue / action / target are encrypted at rest with the shared Bytes codec;
metric, status and dates stay plain so the injection picker ranks without a
per-row decrypt. Active plans fold into the Coach snapshot's memory block
and survive the prompt-budget drop alongside facts. List, confirm and
soft-delete routes are Coach-gated and narrow the owner from the session.
Key the dashboard-snapshot query cell by locale so a locale switch reads
freshly localised tile copy on its own cell instead of serving the prior
locale's prose until the slot goes stale. The zero-arg key stays
byte-identical, so every prefix-based invalidation keeps reaching the
locale-keyed cells; the offline-banner and preloader match on the prefix.
Migration 0194 (additive CREATE TABLE). Encryption-rotation registry and
script cover the three new Bytes columns.
Add a deterministic narrative layer the Coach narrates rather than invents:
- Briefing callbacks + forward-looks: the daily briefing recalls the prior
period and points ahead, anchored to a figure, one callback per surface.
- Tension Verdict: when the readiness composite's contributors disagree
(good sleep but a rising resting pulse), surface a brief honest internal
read on the health-score card. A real clinical red-flag is never reconciled
away into a calm verdict.
- Streaks + return-to-baseline: a pure detector over a DAY-bucket series
closes a worry once a metric returns inside the personal MAD band after a
genuine out-of-band run; a gap day breaks a streak.
- Coach prompt: add develop-discrepancy, roll-with-resistance, and an
anti-persuasion clause; ratchet PROMPT_VERSION.
The tension flag and streak event are computed server-side; the card lines
render resolved fields and the model narrates them.
The post-hoc numeric verifier only graded the tool path, so local /
no-tools providers got no grounding net. Grade the no-tools prose
against the snapshot the model was shown — its structured sections,
which already carry the correlations-snapshot block — and flag any
cited number that traces to no snapshot leaf. Non-blocking: the count
is annotated under coach.prose.number_unverified and the unverified
token soft-stripped, never a stream-killer. Only runs when the full
figures were delivered this turn; a cheap follow-up has no fresh set
to grade and no-ops. Tool-path behaviour and tolerance unchanged.
The correlation discovery matrix gained two non-MeasurementType channels
(medication compliance, symptom severity), but the Coach get_correlations
reader still filtered its measurement query by hand and never built the new
channels. The channel keys leaked into the Postgres enum cast and threw for any
user with medication or illness data.
Extract the route's two channel-series fetchers into a shared module
(correlation-channel-series.ts) so both consumers build the channels identically,
then wire the reader to derive its type filter from discoveryMeasurementTypes and
fold the fetched compliance + symptom series into the discovery input. The reader
now humanises the channel keys to "medication adherence" / "symptom severity".
The labs block already surfaces value + unit + range + date, and the Coach
prompt instructs it to quote them verbatim, so labs are cited end-to-end — no
gap. Pin that with a tool-level guard asserting value and unit survive
get_labs, so a future change to the labs pass-through can't quietly strip the
number the Coach needs to cite.
The Coach may point at a published /learn guide, but only a slug in the
catalog. That was a prompt instruction with no enforcement — a model could
hallucinate /learn/lower-your-cortisol and ship a dead link. Add a deterministic
post-filter on the assembled reply that keeps a published slug verbatim and
strips any reference whose slug is not in the catalog, tidying the prose around
the removed link. Makes the catalog's impossible-by-construction claim an
enforced guarantee.
The illness-recovery tool and the illness context block carried only labels,
lifecycle, and dates plus the recovery composite — never the recovery-gap, the
metric that drove it, the nadir, the pre-onset deviations, or the red flags the
illness card renders. So a recovery question got the composite, not the gap the
user sees, and a sustained-fever or low-SpO2 escalation was invisible
in-conversation.
Run the existing episode-correlation read-layer (the same engine the card and
the red-flag notifier use) for the most relevant episode — active first, else
the most-recently-resolved — and attach the computed scores to get_illness_recovery,
coverage-gated so a thin signal yields nothing rather than a fabricated number.
Document the illnessScores shape in the Coach prompt so it restates those
numbers verbatim and escalates a red flag rather than reassuring.
Each retrieval tool re-scoped the snapshot to a single source, so its cache key
never matched the inventory's full-source build — a four-tool turn paid four
extra full snapshot builds on top of the inventory's. Thread the inventory's
probe scope to every tool so a per-tool read lands the one cache entry the
inventory already primed, collapsing the turn to a single build (a window
override still gets its own correct build). Raise the loop's round cap from two
to three so a sequential cross-metric why-chain isn't starved; the per-round
token budget is unchanged and the absolute ceiling tracks one above so the
final round still forces prose.
The tool-mode path dropped the launch scope's sources: the inventory probes the
full source set, so a Coach opened from a metric page saw the whole inventory
and could roam, while only the no-tools path honoured the narrowing. Inject a
one-line FOCUS hint naming the launched domain(s) into the tool-mode user turn
so the model prioritises that metric and fetches its figures first, with every
other domain still reachable if the question leads there. Empty on a generic
open, so the prompt prefix is unchanged on that path.
The acute red-flag clause hardcoded its blood-pressure numbers as prose
literals and named no glucose or fever floor at all, so the Coach could
silently drift from the dashboard hero and the notification engine. Compose
the systolic/diastolic, glucose, and sustained-fever thresholds straight from
clinical-floors.ts and echo the previously-missing glucose and fever lines, so
every acute number the Coach states is bound to the one source of truth.
Add an outlook contract (gentle forecast, what-to-expect, anticipatory if-then
— all conditional, ranged, association-framed) composed beside the tone
contract on the Coach and the comprehensive briefing, so a reply can sharpen
expectations without a false promise. Tighten the tone contract against
over-validation (affirm the effort, not an unsafe choice; stay neutral when
there is nothing to praise) and route why/conflict questions through
get_correlations and its coincident-deviation flag before answering.
Coverage asserts the clause numbers equal the constants and the new contract
reaches both surfaces.
The FDR cross-metric driver pairs were reachable only through the
get_correlations tool, so a local/no-tools provider got the coincident
flag but zero discovered drivers and the cross-metric layer silently
degraded. The system prompt's fallback to a snapshot driver field
pointed at a field that did not exist on that path.
Attach a bounded top-3 slice of the same gated, ranked driver output the
tool serves to the no-tools snapshot floor, gated on the derived layer
and shed first under prompt-budget pressure. Local users now reach
parity on the flagship cross-metric capability.
The coincident-deviation read grouped the latest day with a UTC date
slice while the sibling readiness read already used the tz-aware day key.
For a user east or west of UTC, a late-evening or early-morning reading
landed on the wrong calendar day, so a fired flag could compare a vital
from the wrong day against its band and narrate '2 or more vitals out of
band today' on the wrong day.
Thread the user's timezone into the latest-day read and mint the day key
with userDayKey, matching readiness. The Coach derived-snapshot and the
correlations reader pass the real account timezone through. Adds a
regression covering a UTC+2 user whose late-night reading rolls to the
next local day.
The daily AI-token gate was a flat 25,000/day for every provider. That cap
exists to bound the OPERATOR's API bill, but a ChatGPT-OAuth (Codex) or BYOK
chain egresses on the USER's own plan/key and costs the operator nothing, so
gating it on the operator-cost ceiling is wrong. A single gpt-5.x reasoning
turn legitimately reports 20k-40k gross total_tokens (re-sent system prompt +
inventory + tool defs per round + hidden reasoning, summed across rounds), so
one or two turns exhausted the flat cap and locked the user out of a plan they
pay for.
Classify the chain's cost owner by its primary provider via resolveDailyCap:
an admin-openai primary (operator pays) keeps the operator-cost cap; every
user-egress primary (codex/openai/anthropic/local) gets a generous
abuse-only ceiling. Threaded into the Coach chat gate and both OCR-extract
modes.
Raise the operator-cost cap 25,000 -> 200,000 so the operator-key path also
survives a normal day of reasoning turns, keeping gross-token accounting
rather than reworking the reconcile math.
Subtract cached input tokens at reconcile: the Responses-API gross total still
includes prompt-cached input the user did not re-pay for. The codex client
already parsed cached_tokens; sum it through the tool loop and bill
total_tokens minus cached.
The multi-vital coincident-deviation flag (two or more vitals outside
their usual band on the same day, with the illness-explained reframe)
already reached the period narrative but never the Coach. Attach it,
fired-only, to the derived block so both Coach paths can narrate it: the
tool path via the recovery/correlations tools and the no-tools snapshot
floor. A quiet day adds no entry, keeping the snapshot noise-free.
The Daily Briefing strips any number absent from its server-computed
figures; the Coach's tool path had no equivalent, so a transcription or
paraphrase drift (a tool returns systolic 128, the reply says ~138) could
ship. Collect the numeric leaves from every present tool result this turn,
extract the numbers the reply asserts, and soft-correct any that match no
fetched figure to a neutral placeholder — annotated, non-blocking, and a
no-op on a qualitative turn or the no-tools path where there is nothing to
grade against. The bounded retrieval loop now returns the present results'
payloads so the check has an authoritative figure set.
The retrieval-tool DATA INVENTORY was built against the user's default
narration cluster (cardio/body/mood/medication), so sleep, glucose,
activity, body composition, vascular, SpO2, gait and environment series
reported absent even when the data existed — and the grounding rule then
told the model not to fetch them. Probe presence against the full source
set instead, and generate the metric-series inventory rows from the
complete source-to-section map so every series the user has rows for is
advertised. Per-tool reads still re-scope to their own domain, so the
wider probe never widens a figure read.
Add three retrieval tools whose snapshot blocks already existed but were
unreachable in tool mode:
- get_workouts: recent sessions + per-sport rollup
- get_cycle: phase / prediction / correlation (gated by cycle access)
- get_correlations: the FDR-controlled lagged cross-metric drivers plus
the coincident-deviation flag, surfaced descriptively
Also honour the caller's window in get_labs and get_illness_recovery so a
cross-metric answer no longer silently mixes horizons.
Sharpen the Coach's behaviour-change reflexes from the coaching literature,
prompt-only:
- Connect the signals on a why/pattern question — consult correlations and
link them descriptively ("after short-sleep nights your next-morning HRV
tends to read lower") instead of reading metrics in isolation, always an
association worth a small experiment, never a cause.
- Confidence ruler on action turns — after naming one small step, ask how
doable it feels 0-10 and shrink it when that lands low, keeping the choice
the user's.
- Three-beat shape on data-review turns — finding, likely driver, one small
step; name the dominant contributor when citing a derived band.
- Extend the MI micro-moves with developing discrepancy and rolling with
resistance, and add an anti-persuasion check: any suggested change must
serve the user's own stated goal.
One bilingual tone-calibration example added per locale.
The shared contracts cover chronic deferral (dose, diagnosis, drug-level
to a clinician) but had no acute branch. Add a closed-list crisis clause —
chest pain, syncope, sudden severe symptoms, hypertensive-crisis readings,
suicidal ideation — that points to prompt or emergency care without
diagnosing, and keep every other turn calm and non-alarmist. It rides the
single shared-contract source so it lands on the Coach, the per-metric
status cards, the comprehensive briefing, and the period narrative; the
coverage test asserts it on all four surfaces.
Thread the request abort signal through runCoachToolLoop into each
per-round completion so a mid-generation client disconnect tears down
the upstream call instead of paying the full token cost. Completes the
no-tools-path wiring to cover the tool-retrieval path as well.
Regenerate the OpenAPI spec for the trimmed OCR-capability reason enum.
Drop the unreachable text-only-model reason from the OCR capability
enum and its DTO type. Replace the literal NUL delimiter in the Fitbit
dedup map keys with a named constant so text tooling stops treating the
file as binary (behaviour unchanged). Correct the Coach tool-executor
docblock, which overstated cross-tool snapshot-cache sharing.
The F1 coach tools each rebuild a snapshot with a distinct single-source
scope, so the 60s snapshot LRU (keyed on the source list) never shares their
reads. On a multi-metric turn the model can fan out up to six tools that each
fire `extractFeatures` (a user lookup plus a windowed measurement read plus the
all-time extremes) and a prefs `findUnique` concurrently — up to twelve heavy
reads against the shared Prisma pool at once.
Memoise both reads on the request-scoped event cache, keyed on userId (and
windowDays for the features read), so the fan-out collapses to one of each
within a request while staying correct across requests. Project the feature
extractor's measurement read to the six columns its consumers actually use
(type, value, measuredAt, sleepStage, source, deviceType) so the 200k-row-class
PULSE / glucose windows stop pulling every column. Outputs are unchanged.
Replace snapshot-stuffing in the Coach turn with a small base context plus
on-demand retrieval. The model receives the full system prompt, a tool-mode
grounding addendum, and a tiny DATA INVENTORY manifest listing which domains the
user has logged and which tool fetches each; the figures themselves are pulled
only when a question needs them.
Six read-only tools wrap the existing server-authoritative snapshot builder:
get_metric_series (blood pressure / weight / pulse + the additive series),
get_glucose_panel, get_sleep, get_medication_compliance, get_labs, and
get_illness_recovery. Each returns a structured { present: false } for an absent
or opted-out domain rather than throwing or returning an ambiguous empty list,
so the model can always tell missing data from real data. Module and cycle gates
are enforced at the builder, so opted-out domains are unfetchable.
A bounded loop runs the call -> tool-result -> answer cycle: at most two rounds
with a hard cap of three that forces a final answer, parallel tool execution,
and only the final round streamed. The day's budget reserves the per-call
ceiling times the round count and reconciles the summed tokens; the atomic
reserve and reconcile primitives are unchanged. All inbound gates (rate limit,
refusal, replay scan, consent, budget) stay before the loop.
The legacy snapshot path stays alive as the no-tools fallback: tool mode is on
only when every provider in the chain supports tool-calling, so a chain that
includes a local model falls back to the prior behaviour verbatim. The tool
trace is persisted onto the assistant message provenance.
The Coach snapshot builder returns the structured, post-degrade record it
serialises to JSON alongside the JSON string, so a single domain block can be
read out without re-parsing. Add an optional tool-call trace to the provenance
envelope (which retrieval tools ran + whether each found data) and mirror it in
the OpenAPI provenance schema.
Groundwork for on-demand retrieval: the retrieval tools slice one section out
of this record, reusing the builder's gates and I/O verbatim.
Replace the CompletionParams { systemPrompt, userPrompt } string pair with a
structured { system, messages[] } request across all five AI clients. One
refactor unlocks three things: provider prompt-caching (Anthropic cache_control
on the stable system prefix, OpenAI/Codex automatic prefix cache, with
cachedInputTokens surfaced for observability), the tool-calling wire surface,
and clean multi-turn.
Each client maps the new shape to its own wire and degrades unsupported
features silently: the local OpenAI-compatible server never receives a tools
field (most reject unknown keys), and prompt-caching is best-effort everywhere.
CompletionResult gains toolCalls, finishReason and cachedInputTokens; the tool
types and per-provider mapping ship now, the tool-use loop does not.
Vision inputs fold into the user turn's content parts via singleUserTurn, with
each provider's pre-existing block ordering preserved. The corrective-retry
paths append to the last user message rather than a flat string. The Coach
keeps assembling one user turn so its snapshot-once and grounding behaviour is
unchanged. No wire schema visible to API consumers changed.
Behaviour is unchanged across every surface; the full suite stays green.
The 0–14d raw band folded same-day readings on a UTC calendar key, so a
late-evening reading slipped onto the wrong day for non-UTC users and
across DST transitions. Key it on userDayKey(tz) instead and make the
timezone a required option so a caller cannot silently fall back to UTC.
The coarser DAY/WEEK/MONTH/YEAR bands stay UTC-anchored on purpose: the
rollup writer and the live aggregator both bucket on the UTC calendar
day and are parity-locked for the read-swap fallback. Document the split
and thread the resolved user timezone from the coach snapshot caller.
Add a labs block to the coach snapshot so the assistant can answer
questions about the user's lab results. Each entry is the most recent
reading per biomarker over the last 12 months (capped), carrying the
resolved name, value, unit, reference range, in/out-of-range verdict,
and measured date. Qualitative readings (e.g. negativ) are included
with a neutral range status. Values resolve server-side via the same
helpers the labs API uses, and the system prompt instructs the model to
quote them verbatim and never invent a lab number, so the block stays
grounded. The free-text qualitative result is sanitised before it can
reach the prompt; the encrypted note is never read.
The safety-contract matrix parity test checks rule bodies are non-empty;
this asserts the resolved getCoachSystemPrompt(locale) string carries the
grounding marker and the GLP-1 dose-safety contract for all six UI
locales, closing the gap where a non-EN/DE locale could silently fall
back to a weaker EN-plus-footer body.
The single multi-type window read had no take bound, so a lastYear /
allTime scope over a high-frequency type (PULSE / glucose are
200k-row-class) loaded a year of rows just to fold them into the ~21
daily + ~10 weekly buckets the prompt shows. Read newest-first with a
6000-row cap and restore ascending order; the coarse MONTH/YEAR tail
still comes from the rollup tier, so deep history survives.
detectRefusal guards only the inbound user message; the model's reply
was streamed verbatim. A dose-prescription or a fabricated clinical risk
score that slipped past the system-prompt contracts reached the user
unfiltered.
Add a deterministic outbound screen on the assembled reply (which the
route already buffers before streaming): tight dose-change patterns plus
risk-score patterns, EN/DE. On a trip the turn is replaced with a calm,
grounded fallback and any reminder suggestion / key-value provenance from
the discarded reply is dropped.
Carry an additive usage envelope on the SSE done frame
({ totalTokens, model }) and persist tokensUsed + model onto
coach_messages (migration 0182, nullable, no backfill) so the
per-message token footer survives a conversation reload. Add an
optional reasoning frame the client can render inside the thinking
disclosure when a reasoning-capable provider emits a summary; providers
without reasoning emit none. Extend CoachMessageDTO and regenerate the
OpenAPI contract. Server-authoritative: clients display the count, never
recompute it.
One-shot prettier pass so the new format:check gate starts from a clean
baseline. Formatting only — no behaviour change. Generator-owned and
vendored artifacts stay untouched via .prettierignore.
The daily token cap was read before the provider call and recorded only
after a successful reply, so concurrent requests could all read
`spent < cap` and all hit the provider, and an empty/sentinel reply
recorded zero spend despite burning upstream tokens.
Reserve the budget atomically before the call: a single upsert-increment
returns the new total, so concurrent requests serialise on the row and
cannot both pass the cap; over-cap refunds the reservation and surfaces
`coach.budget.exceeded` as an SSE error frame. Reconcile the reservation
to the actual token count immediately after the provider returns —
before any empty/sentinel short-circuit — so burned tokens are always
recorded. An integration test proves two concurrent requests cannot both
exceed the cap and that an empty reply still records its cost.
The grounding, tone/banned-opener, GLP-1 dose-safety, metric-identifier
ban and forbidden-filler rules were independently encoded across the
comprehensive, status, Coach and narrative prompts and had drifted. Move
the canonical wording into `prompts/shared-contracts.ts` (locale-keyed
fragments) and compose each surface from it.
Where the surfaces had drifted, adopt the stricter wording: most notably
the GLP-1 dose-prescription contract — previously present only in the
comprehensive and Coach prompts — now reaches the status cards and the
period narrative too. A cross-surface coverage test asserts every
enforced fragment appears verbatim in every surface, in de and en.
Add a coarseOnly option to buildTieredSeries that skips the raw 0–14d
read and the DAY (14–30d) / WEEK (30–90d) band reads, returning only the
MONTH / YEAR bands plus the anomaly envelope. The Coach snapshot's
coarse timeline tail consumes only month/year + anomalies, so the
near-term bands were read and discarded every turn; it now passes
coarseOnly. The briefing path is unchanged. Look the learn-guide prompt
example up by slug rather than by array index so reordering the catalog
cannot silently change the example link.
Wire the Coach snapshot's core-metric history onto the shared tiered
series so blood pressure, weight, and pulse carry a coarse tail the
in-window weekly fold could not produce — 90d-1y monthly and >1y yearly
buckets plus the preserved peak/trough envelope, so a spike from months
ago survives a coarse bucket. The tiered read skips the raw 0-14d band
the snapshot already holds, so no duplicate round-trip; the coarse tail
is bounded per band and sheds first under the prompt-budget degrader, so
token size holds.
Surface the active illness episodes and Rest Mode state to the Coach
prompt: the snapshot already carries the illness block, and the system
prompt now instructs the Coach to read an off-band vital as plausibly
illness-explained and avoid pushing a heavier cadence while the user is
in Rest Mode.
Add a static catalog of the public /learn guides and inject a compact
list into the system prompt. The Coach may reference at most one guide
by topic and URL when genuinely helpful, and only a slug the catalog
lists — a fabricated /learn URL is impossible by construction.
The proactive-nudge frequency gate only counted delivered push attempts. A
user with no push channel never wrote a delivered row, so the cap was inert
for them: every cron tick that hit a persistent trigger minted a fresh nudge
conversation in the rail.
Count a recently persisted nudge conversation toward the same rolling window
so the once-per-window contract holds regardless of push outcome. Add a
covering index on coach messages for the assistant-message scans the FAB poll
and the gate both run, and drop the unused providerType parameter from the
persistence helper now that the tag is fixed.
The proactive Coach nudge dispatched a notification only — it never
wrote a CoachMessage, so it was invisible under the conversation list
and entirely silent for a user with no push channel configured.
Record the nudge as a real conversation before dispatching: create a
conversation and write the nudge body as the initial assistant message
(encrypted at rest like every other Coach reply), then fire the existing
notification + /coach deep link unchanged. A persistence failure is
caught locally so it can never swallow the notification, and the tick
summary tracks a separate persisted count alongside dispatched.
The reference-range classifier assumed bands[0] was always the
normal/target band, so any metric whose first band is abnormal was
placed wrong: a healthy BMI 22 read as just outside the reference and
an underweight BMI 17 read as inside; pulse pressure had the same flaw
(Narrow is its first band). The same classifier drives the in-app
four-state explainer, so both surfaces were affected.
Mark the population-normal band explicitly with a `normal: true` flag
on every metric, add `normalBandIndex`, and place values by distance
from the marked band rather than from index 0. `headlineBandText` now
renders the marked band, so BMI grounds against 18.5-24.9 kg/m2.
Exclude daily steps from the Coach grounding: it is fed the intra-day
mean of the step rows, which averages a multi-row day down and can
misplace it below the 8,000 floor. Grounding it on a per-day sum is the
correct fix and is left as a follow-up; until then drop the line rather
than ship a wrong placement.
Extend the classifier and grounding tests for BMI 17/22/27, a pulse
pressure case, the normal-band-not-at-index-0 contract, and that steps
is not grounded.
Surface the population reference bands behind the metrics a Coach turn
carries as a compact, citation-aware grounding block appended after the
SNAPSHOT. For each present metric the block states the headline band, its
source (blood pressure on the ESH 2023 line, US/ESC framings as context
only), and where the user's value sits via the shared four-state
placement contract.
Framed strictly as general guidance: the block opens and closes with a
not-a-diagnosis caveat, never overrides the existing refusal/dose/drug-
level safety discipline, and carries no commercial brand name. Glucose
respects the diabetes opt-in — the tighter ADA management goal only when
the user has declared it, otherwise the general non-diabetic band.
The block is deterministic and inspectable: built purely from the
reference-range backbone over the same scalars the snapshot already
surfaces, so it can never cite a value or band the snapshot does not
carry.
The coach snapshot tzDayKey, the dashboard verdict dayKeyInTz, and the
mood-entry moodDateKey each carried their own Intl day-key formatter
(en-CA / en-CA / sv-SE). Delegate all three to the canonical userDayKey
so every day-bucket key stays byte-aligned and the locale decision
lives in one place. Behaviour-preserving.
Register the per-episode correlation and cross-episode insights GET routes in
the OpenAPI source and regenerate the spec so the iOS contract carries the
Derived findings shape. Cap and strip the free-text episode label before it
enters the Coach prompt — it is the one user-controlled string in the illness
context block, so collapse control and newline sequences and bound the length.
Twice-daily BP protocol (RRULE BYHOUR=7,19) now fires at every clock
hour: byHourTimesOfDay expands BYHOUR into the engine's timesOfDay so
the label, RRULE, and engine output agree instead of collapsing to one
nudge at notifyHour.
Vorsorge surface:
- move create/edit into a ResponsiveSheet with a pinned Cancel/Save
footer, matching Labs/Illness/Medications
- wire the unused PATCH support: Edit affordance opens the form
pre-filled; an enable/disable Switch drives the enabled flag
- translate COACH-origin labels (the row stores an i18n key, not prose)
and render a neutral Coach provenance badge + an until-<date> line
- surface origin + endsOn on the hook type
- pull-to-refresh + always-on rationale documented on the nav entry
- NativeSelect-vs-Radix choice documented as deliberate
Coach:
- expired COACH course-window reminders self-clean: the cron tick
soft-deletes finished finite cadences instead of leaving dead rows
- accept-dedup gains a partial unique index (user, metric) where
origin=COACH and not deleted, with a P2002 catch in the route
- per-user rate-limit bucket on the suggestion-action endpoint
- SUGGEST-REMINDER parser keeps prose written after the block
- document POST /api/coach/reminder-suggestions in OpenAPI
Coach chrome:
- HistoryRail hideHeading prop drops the duplicate Conversations
heading on the page surface
- align the rail-tray strip inset to px-3 sm:px-4 so the dividers line
up; reword the FAB inset comment
satisfyReminder closes the forward-only TOCTOU via a conditional
updateMany (count===0 no-op). Migration headers corrected to v1.18.1.
An active illness/condition episode annotates, it never penalises: the
measured number is untouched, only the narrative changes.
- rest-mode.ts: one server-authoritative resolver (module-gated, fail-soft)
for "is the account in Rest Mode + which episodes back it". iOS mirrors the
resolved context, never recomputes the suppression.
- health-score: /api/analytics attaches a value-free Rest Mode annotation;
computeHealthScore stays pure (score never adjusted).
- recovery-score: computeRecoveryScore carries the Rest Mode context as of the
scored day; the persisted blend is unchanged.
- coach-nudge: pause cadence-nudges during an active episode (new
skippedDuringIllness counter, gate sits before the trigger search).
- achievements: bridgeFrozenStreakGaps freezes (does not break) every
day-streak across illness days; never invents a streak, a non-illness gap
still breaks.
- coincident-deviation: reframe a fired flag as illness-explained; vital
numbers untouched. Surfaced as a neutral line on the insights card.
- coach snapshot: illness history + active illness as load-bearing context so
the coach knows about Rest Mode (no decrypted note reaches the prompt).
- FHIR: illness episodes map to Condition (generic disease root, label on
code.text, patient-reported/unconfirmed) + a bounding Encounter.
- doctor-report: module-gated illness section in the aggregator + PDF table
(retrospective, neutral palette); FHIR Condition section in the bundle.
i18n x6 for the report + reframe copy. Tests: score-annotation-not-
penalisation, streak-freeze, coach-nudge pause, FHIR Condition/Encounter
mapping, doctor-report inclusion, Rest Mode resolver. typecheck/lint/test
green, openapi in sync, knip clean.
The Coach can append a ---SUGGEST-REMINDER--- sentinel to propose a
measurement cadence (weight daily, the ESH/AHA 7-2-2 home-BP protocol,
structured glucose). The server resolves the cadence from a closed catalog
and emits an additive 'suggestion' SSE frame the chat renders as a one-tap
action card; accepting it creates a MeasurementReminder with origin COACH
through the same engine the Vorsorge surface uses (server-authoritative
schedule, finite course window self-expires via endsOn).
Non-naggy by construction: a frequency-cap cooldown, dismissal memory, a
master opt-out under Coach settings, and an explicit 'I measure enough'
stop path, all in the coach-prefs blob. Triple dedup at suggest, render,
and create so a cadence is never double-suggested or double-created, and
suggestions for a disabled module never surface. RHR/HRV stay passive --
the Coach surfaces the baseline, it never nudges to 'go measure' them.
The reminder DTO now echoes origin and endsOn for the iOS client.
The cycle gate checked only the per-user toggle and gender, never the
operator server-wide availability layer. With the Cycle module turned off
by the operator, /api/cycle/* kept serving, the coach injected the cycle
block, the Apple-Health importer kept writing cycle rows, and the
cycle-reminder cron kept firing CYCLE_PERIOD pushes — while nav and the
doctor report already honoured the operator switch.
Add isCycleAvailableForUser, which delegates to isModuleEnabled(userId,
"cycle"): the cycle ModuleKey resolves the per-user toggle AND the
operator availability map, so there is one source of truth and no
duplicated operator logic. Route requireCycleEnabled, the coach cycle
block, and the import accumulator through it; switch the cron to the
injectable isModuleEnabled gate, matching the mood and measurement
reminder crons, and add a skippedModuleDisabled counter. Correct the
cron comment that claimed isCycleEnabled was itself the module gate.
isCycleEnabled stays the pure per-user (user-layer) resolver the module
foundation AND-s at layer one.
Tests: assert requireCycleEnabled returns a 403 cycle.disabled envelope
and the cron skips the push when the operator turns the module off.
Marc-André Bombeck