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
136 lines
6.7 KiB
Markdown
136 lines
6.7 KiB
Markdown
# editions — series-level memory for long-form
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Two stores, one package, both about what a *series* knows rather than what an edition
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knows: the **distillate** (N11) — what the reader has already been told — and the
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**register** (N12) — what is in production right now and how long it is taking.
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## 1. Series distillate (N11, serie-nivå-vern)
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Every long-form gate agent sees **one** edition. At two editions a week the fastest-
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growing defect class is not a bad edition — it is a **repeated** one: the anecdote, the
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argument or the hook the reader already met three editions ago. That failure is
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structurally invisible today, and the specifics-bank dedupe actively *encourages*
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re-surfacing the same material.
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So each locked edition leaves behind a **distillate** of the narrative units it spent,
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and the Step 2.5 skeleton gate checks the next skeleton against it — **before prose
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exists**, the only point where changing course is still cheap.
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## Where the distillate lives
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`<serie>/linkedin/series-distillate.json` — beside `edition-state.json` in the **series
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root**, not in the per-user data dir. It is series-scoped state, the series folder is
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already where the edition's state lives, and putting it there means it travels with the
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series and needs no slug→path map.
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Series-scoped is the point: this answers *"has this reader heard it?"*. Cross-series
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re-use of the operator's raw material is a different grain, tracked by the
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specifics-bank's `usedIn` log.
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## Setup
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```bash
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cd scripts/editions && npm install
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```
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## Use
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```bash
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# Step 8 (lock): fold the edition's spent units into the series distillate
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node --import tsx src/cli.ts distil-append \
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--distillate "<serie>/linkedin/series-distillate.json" \
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--series seres --extract "<abs>/extract.json"
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# Step 2.5 (before prose): check the proposed skeleton against everything published
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node --import tsx src/cli.ts distil-check \
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--distillate "<serie>/linkedin/series-distillate.json" \
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--skeleton "<abs>/skeleton.json" [--threshold 0.4] [--json]
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```
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`extract.json` = `{editionId, title, lockedAt, anecdotes[], arguments[], hooks[]}` — the
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AI extract from the locked edition. `skeleton.json` = `{anecdotes?, arguments?, hooks?}`.
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Exit codes: `0` on success — **including a REUSE verdict**. The check is advisory by
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design (it reports into the annotation gate the operator already reads at Step 2.5),
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unlike the binding gate's BLOCK. `2` on usage error.
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## Model
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- **Extraction is AI, comparison is code.** The command layer distils the units from the
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locked prose; the store, the similarity and the verdict are plain deterministic code —
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no model in the loop, no run-to-run variance.
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- **Similarity = character-trigram Jaccard**, not word overlap. The plugin is
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language-general and the languages it is used in are inflection-heavy: *migrere* /
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*migreringen* are the same unit to a reader but different word tokens. Calibrated
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against real paraphrase pairs (see `tests/distillate.test.ts`): retellings score
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0.44–0.55, unrelated material 0.04–0.06, same-topic-different-story 0.24 — so the
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default threshold sits in the gap at **0.40**. Word-Jaccard scored a shortened hook
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paraphrase at 0.11 and would have let it through.
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- **Units are compared within their kind.** An argument re-used as a hook is a new move,
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not a retread.
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- **A re-locked edition replaces its entry**, never duplicates it — `/linkedin:pivot`
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re-opens and re-locks the same edition, and the reader still only met it once.
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- **A missing distillate is not an error.** A series' first edition compares against
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nothing and is CLEAR.
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## 2. Editions register (N12, A1-11 / A1-12)
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Two things were structurally invisible before this: **which editions are in flight**
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(readable only by opening every series folder's `edition-state.json` by hand) and **how
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long an edition takes** (not recorded anywhere at all). At a two-editions-a-week cadence
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both are load-bearing — you cannot dimension a production line on numbers you never
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collected.
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So every phase transition in `/linkedin:newsletter` runs **one** command that does two
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writes: it appends `{phase, completedAt}` to `articles.NN.phaseLog` in the edition-state,
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and mirrors the edition's row into the register.
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```bash
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# at EVERY phase transition (after currentPhase has been written)
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node --import tsx src/cli.ts register-upsert \
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--edition-state "<serie>/linkedin/edition-state.json" \
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--next "Step 3a — spine prose" [--slot "2026-07-28 07:45"] [--path <series-root>]
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# the week's work-in-progress, without opening a single series folder
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node --import tsx src/cli.ts register-list [--all] [--json]
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# at Step 10, once the edition is scheduled — prints the measured lead time
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node --import tsx src/cli.ts register-complete --series seres --edition 05
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```
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### Where the register lives
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`${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/editions/register.json` — the
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per-user data dir (M0 convention), because it spans *all* series and must survive plugin
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upgrades and reinstalls. Contrast the distillate above, which is per-series and therefore
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lives in the series root.
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### Model
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- **The register is a MIRROR, never a source of truth.** Every row is derived from an
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`edition-state.json` at a transition. Resumption reads edition-state and nothing else;
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delete the register and the next transition rebuilds the row. Losing it costs telemetry,
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not an edition — so a failed `register-upsert` is reported, never a reason to stop the
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pipeline.
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- **One call, both writes.** A phase log the command layer had to remember to append
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separately would be incomplete inside a week, and an incomplete log measures nothing.
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- **No clock in the core.** Every mutation takes `now` as an argument (`--at` / `--now` at
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the CLI edge), exactly like the distillate takes `lockedAt`. Deterministic tests, no
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hidden timezone behaviour.
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- **`startedAt` never moves.** It is the lead-time anchor: re-upserting a completed
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edition *reactivates* the same row (that is what `/linkedin:pivot` does), so the measured
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time reflects real elapsed production rather than restarting the clock.
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- **Idempotent where a re-run is legitimate, not where it is real work.** Repeating the
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same transition logs once; a phase that recurs *after* another one is logged again,
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because a pivot back through cleared gates is production time that actually happened.
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Completing twice keeps the first `completedAt`.
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- **Missing facts are errors, not defaults.** A row naming the wrong phase is worse than
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no row — the whole point is that the list can be trusted without opening files. Only the
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title is allowed to be empty; it is telemetry, not a gate.
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## Test
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```bash
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npm test # node:test, deterministic (callers supply lockedAt)
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npm run build # tsc — must stay clean
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```
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