feat(linkedin-studio): wire lived-specifics extraction into newsletter pipeline (fix #2 slice 3)
Wire the kilde-så-draft binding (slices 1–2) into the live /linkedin:newsletter pipeline so a draft is grounded in the operator's real material BEFORE any prose. - New Step 1.5 "Lived-specifics extraction" BETWEEN brief (1) and research (2): query the bank → 3–5 sharp elicitation questions (vagueness refused, never fabricated — invariant 3) → `add` to the specifics-bank → populate the articles.NN.livedSpecifics slot-map → render the NN-kilder.md ledger. First phase to write machine state (persists brief + personas + binding). - Deterministic binding-gate (`validate-binding`, exit 1 = BLOCK) wired as a new step 5 of the Step 2.5 skeleton-gate (renumbered 5→9): no prose is written on an unresolved load-bearing claim; livedSpecifics → "bound" on pass. - Step 2 re-scoped BY the binding: research fills the ekstern/unresolved slots + verifies the operator's own numbers (regel 6/7) → flips bank unverified→verified → re-renders NN-kilder.md, instead of re-sourcing what is already grounded. - Pipeline 17 → 18 phases: new `lived-specifics` phase id in edition-state _doc.phases; resumption table + pipeline overview + CLAUDE.md + README updated. - Lint: new Section 15 "Specifics-Bank Binding" wires the specifics-bank suite into CI (suite green + case-count floor 28, KTG-only/adopter-skip); the assertion-count anti-erosion floor moves to Section 16. Verification: structure gate 84/0/0 (was 83), specifics-bank 28/28, contract-gate ratify 1:1, edition-state template valid JSON (18 phases), gitleaks clean on all 5 files. Design record: docs/fix2/slice2-binding.md. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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@ -45,7 +45,7 @@ For everyday presence. The point is *velocity without losing quality*: every con
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### 📖 The Long-Form Engine — `/linkedin:newsletter`
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For the pieces that build authority — newsletter editions, essays, series articles. This is what sets LinkedIn Studio apart from "AI writes your post" tools: a **17-phase pipeline where the draft has to survive a gauntlet of quality gates *before it locks*.**
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For the pieces that build authority — newsletter editions, essays, series articles. This is what sets LinkedIn Studio apart from "AI writes your post" tools: an **18-phase pipeline where the draft is grounded in your real material *before research* (lived-specifics extraction) and then has to survive a gauntlet of quality gates *before it locks*.**
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```
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skeleton gate ──▶ voice scrub ──▶ fact-check ──▶ editorial craft gate ──▶
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@ -133,7 +133,7 @@ All 29 commands use colon notation: `/linkedin:post`, `/linkedin:quick`, etc. Th
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| `/linkedin:multiplatform` | Adapt LinkedIn content for X threads, newsletter sections, blog posts, slides, YouTube scripts. |
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| `/linkedin:batch` | A full week of content in one session — one theme in, 3–5 posts out, written to the queue. |
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| `/linkedin:pipeline` | Full end-to-end pipeline from idea to published post (ideation → publish → post-analysis). |
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| `/linkedin:newsletter` | Long-form orchestrator — newsletter/essay/series article at series quality. Multi-session 17-phase pipeline; all gates BEFORE lock. |
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| `/linkedin:newsletter` | Long-form orchestrator — newsletter/essay/series article at series quality. Multi-session 18-phase pipeline; lived-specifics grounding BEFORE research, all gates BEFORE lock. |
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| `/linkedin:headless-review` | Cold adversarial review package on a FROZEN draft (`content-reviewer` + `language-reviewer` + `fact-reviewer` + `persona-reviewer`) — run in a fresh session for maximum isolation. |
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| `/linkedin:pivot` | Re-open a long-form edition after a substantive late change so cleared gates re-run before lock (heuristic: >20 % word-count or >2 new sections). |
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