The concern is new-user first-contact: see some GOOD summaries fast or they
don't return. Reframed as curation/latency for ~3 videos, NOT a 429/throughput
problem (3 fetches is nowhere near the wall). Phase 1 (report-and-stop) verifies
whether the existing cap-3 onboarding burst even fires today, what it delivers,
and — critically — how much transcript-cache overlap exists between users (drives
the blend). Phase 2 levers: cached-transcript-first (instant, zero-fetch),
likely-good selection (has-captions/good-length, not just newest), and optionally
the stronger model for the burst's few summaries. Blend deferred to the
maintainer post-Phase-1. Explicitly NOT bulk-fetch, NOT credentials (ADR-010/026
dead end), NOT a client extension.
Per-video chat against the ADR-021 stored transcript, entered from the summary
view, born from observed demand (maintainer read real summaries, some made him
want to dig deeper). HARD constraint: stored-transcript-only — never fetches
captions, never touches the rate gate or YouTube, safe by construction. Default
model = the summary's model, user-switchable among the ADR-022 chain models
(doubles as model-comparison instrumentation). Ephemeral v1 (no persisted
history); chat-only/trust-the-model with show-source verification recorded as the
natural v2. ADR-027 to be appended to DECISIONS.md as the first commit.
Bring the living docs current with the recency-bounded auto-summarize + sparse
honesty + feed IA bundle (ADR-020):
- requirements (BDD): summarize_mode.feature — auto now summarizes RECENT new
videos; added a scenario for older videos (listed, on-demand), recency note.
- architecture.md: summarization-mode + new list-surface paragraph; scheduler
diagram + two-path table + three-phase pass now show the recency pre-filter;
dropped stale "Summarize now".
- data-model.md: auto_summarize is recent-only, older on-demand.
- README.md: one-line recency note on the serve scheduler.
- ui-spec.md: appended the as-built ADR-020 row (supersedes earlier copy/sort).
- specs/{video-card-states,newest-first-ordering,scheduled-discovery}.md:
superseded/extended banners pointing at ADR-020 (kept as design records).
Docs-only; task check green.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The card shows two verbs ("Try now" for rate-limited, "Summarize" for pending)
for one user intent, and — the real bug — a no-captions video falls into the
pending branch and wrongly shows a Summarize button that can only fail. Spec
collapses to one quiet "Summarize now" verb wherever a nudge is possible (both
handlers unchanged underneath), adds an honest no-button "No transcript
available" state, and keeps the card status-first (buttons are exceptions in auto
mode). View-layer only.
Product intent: new users get summaries of their newest videos fast while the
back-catalogue fills behind, within the shared rate gate. The background batch
currently processes in subscription/channel order, not newest-first — this spec
closes that gap (collect candidates, sort published_at DESC NULLS LAST, process
in order, gate unchanged). Also corrects the docs to describe Try-now as
onboarding prioritisation, explicitly removing the prior "looks organic to
YouTube" traffic-disguising framing — rate limiting is respected, not evaded.
The Stage-0 usability fix: tapir serve runs discovery for all users on an
interval (reusing the existing Runner.Loop, enumerate-users-then-withUser),
auto-summarize defaults ON for Future-B users so the list fills itself, and the
ADR-014 process-wide per-egress-IP rate gate is confirmed/finished in the same
slice because in-process + auto + multi-user makes it load-bearing. Records the
single-replica constraint as load-bearing, and a fallback (auto-summarize OFF
until the gate exists) so the dangerous combination never ships half-built.
Small tapir slice to make the gate measurable as written: append-only
login_events (RLS, per-user-per-day throttle) + a union query over reads
(login_events) and acts (summary_actions) for distinct-active-weeks. Carries the
honesty caveats (unprompted not measurable; data accrues from deploy; week-bucket
noise at low N) and the delete-cascade footgun (no FK, needs explicit delete +
test) from the prior delete work. Out of scope: analytics, prompt-tracking,
dashboards.
Workstream A: public /welcome landing page (bubbletea aesthetic, one Dex login
flow, logged-in shortcuts) — with the oidc.go facts verified against main, incl.
the two corrections that only surface from reading the code (logout must redirect
to /welcome not /auth/login; bare-/ vs deep-link redirect split).
Workstream B: reconcile the guardrail docs against deployed reality (v0.4.0) —
auth.go comments, data-model isolation status + migrations 002-006 schema,
architecture web surface, use-case scenarios for the Stage-1 features, ADR
ordering, and a requirements-vs-shipped deviation check. Structured as two
parallel workstreams so the doc audit isn't done cursorily alongside the build.
mathias
mathiasandClaude Opus 4.8