Two things were structurally invisible: WHICH editions are in flight (readable
only by opening every series folder's edition-state.json by hand) and HOW LONG an
edition takes (not recorded anywhere). At two editions a week both are
load-bearing — a production line cannot be dimensioned on numbers never collected.
Register (scripts/editions, new module beside distillate.ts): one row per edition
in ${LINKEDIN_STUDIO_DATA}/editions/register.json — series, edition, title, series
path, current phase, next action, slot, startedAt/completedAt. Data-dir placement
(M0) because the register spans ALL series; the distillate is per-series and stays
in the series root. Verbs: register-upsert / register-list / register-complete.
phaseLog: articles.NN.phaseLog[{phase, completedAt}] in edition-state, additive so
schemaVersion stays 1 — pre-N12 editions load unchanged and their absence reads as
"not measured", never as zero. Per-article, mirroring articles.NN.phase: lead time
is a property of an edition.
One call per transition, both writes: newsletter.md gains a phase-transition
protocol defined once beside the resumption table, and all 16 canonical phases
invoke it. register-upsert appends the phase-log entry AND mirrors the register
row. Deliberately one command, not two — telemetry the command layer must remember
to write separately is incomplete inside a week, and an incomplete log measures
nothing. Step 10 closes the row and prints the measured lead time.
Mirror discipline: resumption still reads edition-state.json and only that. Delete
the register and the next transition rebuilds it; a failed upsert is reported, never
a reason to stop the pipeline. startedAt is the one unrecoverable value, so it never
moves — re-upserting a completed edition reactivates the same row (what
/linkedin:pivot does), keeping the clock on real elapsed production time.
Deterministic: no clock in the core (now passed in, --at/--now at the edge, as the
distillate takes lockedAt). Idempotent where a re-run is legitimate (repeated
transition logs once; completing twice keeps the first completedAt), not where it is
real work (a phase recurring after another one is logged again — a pivot back through
cleared gates is production time that happened). Missing facts are refused at the
edge, not defaulted: a row naming the wrong phase is worse than no row.
TDD (Iron Law): all three test files written first and verified red before any
implementation existed (register.test.ts + editionState.test.ts failed on missing
modules, cli-register.test.ts on "unknown command: register-upsert").
Suites: editions 27 -> 72 (floor raised) · test-runner 173 -> 184 (Section 16s: 11
unconditional greps incl. a 16-phase coverage sweep + non-vacuity self-test;
anti-erosion floor 155 -> 166) · trends 300/0 · brain 134/0 · specifics-bank 45/0 ·
hooks 140/0 · tests 35/0 · render 60/0. tsc --noEmit clean.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01QxvWAjte7vPcF79QeSRvRJ
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| tests | ||
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| package.json | ||
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editions — series-level memory for long-form
Two stores, one package, both about what a series knows rather than what an edition knows: the distillate (N11) — what the reader has already been told — and the register (N12) — what is in production right now and how long it is taking.
1. Series distillate (N11, serie-nivå-vern)
Every long-form gate agent sees one edition. At two editions a week the fastest- growing defect class is not a bad edition — it is a repeated one: the anecdote, the argument or the hook the reader already met three editions ago. That failure is structurally invisible today, and the specifics-bank dedupe actively encourages re-surfacing the same material.
So each locked edition leaves behind a distillate of the narrative units it spent, and the Step 2.5 skeleton gate checks the next skeleton against it — before prose exists, the only point where changing course is still cheap.
Where the distillate lives
<serie>/linkedin/series-distillate.json — beside edition-state.json in the series
root, not in the per-user data dir. It is series-scoped state, the series folder is
already where the edition's state lives, and putting it there means it travels with the
series and needs no slug→path map.
Series-scoped is the point: this answers "has this reader heard it?". Cross-series
re-use of the operator's raw material is a different grain, tracked by the
specifics-bank's usedIn log.
Setup
cd scripts/editions && npm install
Use
# Step 8 (lock): fold the edition's spent units into the series distillate
node --import tsx src/cli.ts distil-append \
--distillate "<serie>/linkedin/series-distillate.json" \
--series seres --extract "<abs>/extract.json"
# Step 2.5 (before prose): check the proposed skeleton against everything published
node --import tsx src/cli.ts distil-check \
--distillate "<serie>/linkedin/series-distillate.json" \
--skeleton "<abs>/skeleton.json" [--threshold 0.4] [--json]
extract.json = {editionId, title, lockedAt, anecdotes[], arguments[], hooks[]} — the
AI extract from the locked edition. skeleton.json = {anecdotes?, arguments?, hooks?}.
Exit codes: 0 on success — including a REUSE verdict. The check is advisory by
design (it reports into the annotation gate the operator already reads at Step 2.5),
unlike the binding gate's BLOCK. 2 on usage error.
Model
- Extraction is AI, comparison is code. The command layer distils the units from the locked prose; the store, the similarity and the verdict are plain deterministic code — no model in the loop, no run-to-run variance.
- Similarity = character-trigram Jaccard, not word overlap. The plugin is
language-general and the languages it is used in are inflection-heavy: migrere /
migreringen are the same unit to a reader but different word tokens. Calibrated
against real paraphrase pairs (see
tests/distillate.test.ts): retellings score 0.44–0.55, unrelated material 0.04–0.06, same-topic-different-story 0.24 — so the default threshold sits in the gap at 0.40. Word-Jaccard scored a shortened hook paraphrase at 0.11 and would have let it through. - Units are compared within their kind. An argument re-used as a hook is a new move, not a retread.
- A re-locked edition replaces its entry, never duplicates it —
/linkedin:pivotre-opens and re-locks the same edition, and the reader still only met it once. - A missing distillate is not an error. A series' first edition compares against nothing and is CLEAR.
2. Editions register (N12, A1-11 / A1-12)
Two things were structurally invisible before this: which editions are in flight
(readable only by opening every series folder's edition-state.json by hand) and how
long an edition takes (not recorded anywhere at all). At a two-editions-a-week cadence
both are load-bearing — you cannot dimension a production line on numbers you never
collected.
So every phase transition in /linkedin:newsletter runs one command that does two
writes: it appends {phase, completedAt} to articles.NN.phaseLog in the edition-state,
and mirrors the edition's row into the register.
# at EVERY phase transition (after currentPhase has been written)
node --import tsx src/cli.ts register-upsert \
--edition-state "<serie>/linkedin/edition-state.json" \
--next "Step 3a — spine prose" [--slot "2026-07-28 07:45"] [--path <series-root>]
# the week's work-in-progress, without opening a single series folder
node --import tsx src/cli.ts register-list [--all] [--json]
# at Step 10, once the edition is scheduled — prints the measured lead time
node --import tsx src/cli.ts register-complete --series seres --edition 05
Where the register lives
${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/editions/register.json — the
per-user data dir (M0 convention), because it spans all series and must survive plugin
upgrades and reinstalls. Contrast the distillate above, which is per-series and therefore
lives in the series root.
Model
- The register is a MIRROR, never a source of truth. Every row is derived from an
edition-state.jsonat a transition. Resumption reads edition-state and nothing else; delete the register and the next transition rebuilds the row. Losing it costs telemetry, not an edition — so a failedregister-upsertis reported, never a reason to stop the pipeline. - One call, both writes. A phase log the command layer had to remember to append separately would be incomplete inside a week, and an incomplete log measures nothing.
- No clock in the core. Every mutation takes
nowas an argument (--at/--nowat the CLI edge), exactly like the distillate takeslockedAt. Deterministic tests, no hidden timezone behaviour. startedAtnever moves. It is the lead-time anchor: re-upserting a completed edition reactivates the same row (that is what/linkedin:pivotdoes), so the measured time reflects real elapsed production rather than restarting the clock.- Idempotent where a re-run is legitimate, not where it is real work. Repeating the
same transition logs once; a phase that recurs after another one is logged again,
because a pivot back through cleared gates is production time that actually happened.
Completing twice keeps the first
completedAt. - Missing facts are errors, not defaults. A row naming the wrong phase is worse than no row — the whole point is that the list can be trusted without opening files. Only the title is allowed to be empty; it is telemetry, not a gate.
Test
npm test # node:test, deterministic (callers supply lockedAt)
npm run build # tsc — must stay clean