fix(linkedin-studio): N21 — scaffold-bånd-redesign + ferskhet-rester (newsletter-guide, first-comment) [skip-docs]

Del 1 — scaffold-bånd (KTG-beslutning: behold målbåndet, utvid komponentene).
Komponentsummen var 960–1 640 mot målbåndet 1 200–1 800: en skjelett-konform
draft kunne lande under gulvet og nådde aldri taket. Nye bånd — Context
250–350, Insight 550–850, Implication 250–350 (Hook 110–140 og CTA 50–100
uendret) — summerer til 1 210–1 790, altså INNI 1 200–1 800. Skjelett-konform
er nå gate-konform per konstruksjon.

Målbåndet 1 200–1 800 er uendret overalt; hooks/prompts/content-quality-gate.md
(den kanoniske gaten) er ikke rørt. Alternativet — å heve taket per AuthoredUp
D-4 — ville krevd 25 filer / 40 linjer inkl. gate-prompten, begge skills,
quality-scorecard, config-malen og brain-fiksturen.

Skjelettet fantes i seks kopier, alle rettet på KTG-go: commands/post.md,
commands/batch.md, commands/pipeline.md, references/engagement-frameworks.md,
agents/content-optimizer.md, skills/linkedin-content-creation/SKILL.md. De tre
siste lå utenfor planens scope, men to av dem var internt selvmotsigende på én
linje (overskrift 1 200–1 800 over komponenter som summerte til 960–1 640), og
engagement-frameworks.md er nettopp fila post.md/pipeline.md instruerer
modellen om å LESE for strukturen.

Nabofunn tatt med på KTG-go: post.md:95 ga «Personal stories → 1 000–1 400»,
som motsa post.md:136s egen gate. Kald-review R2a MAJOR — nå 1 200–1 800.

D-4 inn i kanonfila: ny «Post length»-seksjon i
references/algorithm-signals-reference.md med AuthoredUp-optimumet 1 301–2 500
(372 126 poster, sep 2025–feb 2026), merket single-vendor/ett vindu, med
eksplisitt note om at datapunktet gjør det shippede taket konservativt — ikke
feil — og at de to AuthoredUp-N-ene i fila (621K vs 372K) er ulike studier.
Kilde verifisert mot primærkilden, ikke overført fra planen.

Del 2 — ferskhet-rester (begge påstander verifisert mot LinkedIn Help):
- D-6 newsletter-strategy-guide.md: «5 000+ følgere» framstilt som terskel er
  feil — «All LinkedIn members have access to create a newsletter on LinkedIn»
  (a517914). Omskrevet til redaksjonell modenhetsvurdering (også i
  Mistakes-tabellen og Bottom Line). E-post er ikke garantert: LinkedIn
  de-dupliserer på tvers av kanaler — «if you receive an in-app or push
  notification, you should not expect to also receive an email for the same
  notification» (a517914). Bringer referansefila i tråd med newsletter.md:2384.
  Fjernet samtidig den ukildede «Algorithm favors newsletters from established
  creators» i den omskrevne blokka.
- D-7 first-comment-strategy.md: «pinned by default» er uverifisert og feil —
  pinning er en eksplisitt forfatterhandling (a524166), og standard
  kommentarsortering er algoritmisk. Lagt til «What this file does not claim»-
  avsnitt som speiler kanonfilas «contested»/low-confidence-epistemikk.

Scope 3 (KTG-go, amend): references/engagement-frameworks.md har FIRE
skjeletter, ikke ett. To til brot gulvet i malbandet — Data-Driven Post
(1 050-1 400) og Contrarian Post (1 060-1 410) — og er lagt om til samme
komponentprofil som Standard, sum 1 210-1 790. Narrative Arc (1 350-1 500) la
allerede inni og star urort; alle tre har na en eksplisitt sum-linje. Fila er
den post.md:104 sender modellen til for «story structures», sa a sertifisere
den som fikset med to odelagte skjeletter igjen ville vaert usant.

SUPERSEDED og ikke gjeninnført: gammel B §S6 Del 2 pkt 1 (first-comment
−5/−10 %-tall, pods-eskalering, 360Brew-fotnote).

Verifisering: bånd-summen ligger inni målbåndet i alle seks kopier av
standard-skjelettet og i alle fire skjelettene i engagement-frameworks.md
(grep-bevis, 0 gjenværende 200-300/400-800) · D-6/D-7 omformulert (0 treff på
«5,000+ followers» / «pinned by default» / «inbox + email») · alle ti suiter
grønne, alle floors uendret: test-runner 270/0 (269 assertions >= floor 251) ·
trends 300/0 · analytics 202/0 · hooks 191/0 · brain 134/0 · editions 72/0 ·
render 63/0 · specifics-bank 45/0 · tests 35/0 · contract-gate 33/0.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LhF1H7ctT5Fk8KkoCQpe5n

references/algorithm-signals-reference.md

@@ -62,6 +62,23 @@ The defensible spine is the **order**, not the multiplier:
 > The personal-profile **per-post baseline** (~2.0–2.6%) is a *different denominator* from
 > a format benchmark — never present an account baseline as a carousel rate.
 
+## Post length (text posts)
+
+| Claim | Statement | Source | Confidence |
+|-------|-----------|--------|------------|
+| Engagement optimum | Median engagement peaks in the **1,301–2,500 character** band (2.61–2.67%, against 2.10% below 400 chars); 2,501–3,000 falls back slightly. **Single vendor, personal profiles, one six-month window** — the defensible part is the direction (substance beats soundbite), not the boundaries. | AuthoredUp (372,126 posts, Sep 2025–Feb 2026) | medium |
+
+> **On the plugin's own 1,200–1,800 standard band:** it overlaps the measured optimum from
+> 1,301 up, with its bottom ~100 characters below it, and its ceiling 700 short. Read
+> 1,301–2,500 as evidence that the shipped ceiling is **conservative, not wrong** — one
+> vendor's medians over one window is not enough to move an SSOT that every gate enforces
+> (`hooks/prompts/content-quality-gate.md`). Test a longer post against your own baseline
+> before concluding anything.
+>
+> **Two AuthoredUp sample sizes appear in this file** — 621K (NLP-quality-scored engagement
+> study) and 372K (this length study). Different studies, different windows; not a
+> transcription error.
+
 ## External links (in post body)
 
 | Claim | Statement | Source | Confidence |
@@ -188,7 +205,7 @@ source.)
 
 ---
 
-*Last updated: 2026-07-17 (GR-model correction). Maintained as the single canonical
+*Last updated: 2026-07-31 (post-length section added). Maintained as the single canonical
 algorithm statement; cite, do not restate.*
 
 *Sources (per-claim quality/confidence noted inline): LinkedIn Engineering — "Engineering
@@ -197,6 +214,7 @@ research paper, withdrawn 2025-08-23); LinkedIn Engineering — "Leveraging Dwel
 AI (2025-08-11); Laura Lorenzetti, VP & Exec Editor (2026-05-19); Gyanda Sachdeva, VP
 Product (2026-02-16); Matt Navarra relaying LinkedIn Sr. Director Product (Aug 2025);
 Ordinal link-penalty study (900K, p<0.001); Socialinsider (1.3M); Buffer (2M+); Metricool
-(673K); AuthoredUp (621K, NLP-quality-scored); van der Blom Algorithm Insights 2025 (1.8M);
+(673K); AuthoredUp (621K, NLP-quality-scored); AuthoredUp post-length study (372,126 posts,
+Sep 2025–Feb 2026); van der Blom Algorithm Insights 2025 (1.8M);
 Originality.ai (8,795 posts); Inc. (buzzword editorial). Full provenance: research brief
 `docs/remediation/research/01-linkedin-algorithm-signals.md`.*

references/engagement-frameworks.md

@@ -139,17 +139,17 @@ This structure creates positive response by opposing forces and compels the "see
 **Hook (110-140 chars)**
 → Grab attention, create curiosity
 
-**Context (200-300 chars)**
+**Context (250-350 chars)**
 → Set up the situation/problem/observation
 → Why should they care?
 → What's at stake?
 
-**Insight/Argument (400-800 chars)**
+**Insight/Argument (550-850 chars)**
 → Your main point
 → Supporting evidence or logic
 → This is the "meat" of the post
 
-**Implication (200-300 chars)**
+**Implication (250-350 chars)**
 → What does this mean?
 → Why does it matter?
 → Connect to bigger picture
@@ -158,6 +158,10 @@ This structure creates positive response by opposing forces and compels the "see
 → What should the reader do/think?
 → Engagement prompt
 
+*The five components sum to 1,210-1,790 characters — inside the 1,200-1,800 standard
+band, so a draft that respects each component band passes the length gate by
+construction.*
+
 ### The Narrative Arc (For Story-Based Posts)
 
 **Setup (200 chars)**
@@ -183,48 +187,54 @@ This structure creates positive response by opposing forces and compels the "see
 **CTA (50-100 chars)**
 → Engagement prompt
 
+*Sum: 1,350-1,500 characters — inside the 1,200-1,800 standard band.*
+
 ### The Data-Driven Post (For Research/Statistics)
 
-**Stat Hook (100 chars)**
+**Stat Hook (110-140 chars)**
 → Lead with the surprising number
 
-**Context (200 chars)**
+**Context (250-350 chars)**
 → Where this data comes from
 → Why it matters
 
-**Breakdown (500-700 chars)**
+**Breakdown (550-850 chars)**
 → What the data actually means
 → Deeper analysis
 → Connect to reader's reality
 
-**Action (200-300 chars)**
+**Action (250-350 chars)**
 → What to do with this information
 → Practical takeaways
 
 **CTA (50-100 chars)**
 → Engagement prompt
 
+*Sum: 1,210-1,790 characters — inside the 1,200-1,800 standard band.*
+
 ### The Contrarian Post (For Challenging Norms)
 
-**Bold Claim Hook (110 chars)**
+**Bold Claim Hook (110-140 chars)**
 → State the contrarian position clearly
 
-**Common Wisdom (200 chars)**
+**Common Wisdom (250-350 chars)**
 → Acknowledge what "everyone" thinks
 → Show you understand the conventional view
 
-**The Challenge (400-600 chars)**
+**The Challenge (550-850 chars)**
 → Why the common wisdom fails
 → Evidence or logic for your position
 → Personal experience or data
 
-**Alternative View (300-400 chars)**
+**Alternative View (250-350 chars)**
 → What we should do instead
 → The better approach
 
 **CTA (50-100 chars)**
 → Invite discussion/disagreement
 
+*Sum: 1,210-1,790 characters — inside the 1,200-1,800 standard band.*
+
 ## Call-to-Action Frameworks
 
 CTAs should encourage engagement while feeling natural, not forced.

references/first-comment-strategy.md

@@ -13,11 +13,26 @@ External links in the post body correlate with lower reach (correlational, ~38%
 - Lets you add context that didn't fit the post's character limit
 - Creates a natural CTA without cluttering the main post
 
+### What this file does *not* claim
+
+The canonical reference rates the first-comment tactic **"neither a magic fix nor a
+confirmed penalty — contested"**, at *low* confidence — practitioner heuristic, no large-N
+primary source (`references/algorithm-signals-reference.md`). Nothing below upgrades that.
+Specifically, this plugin does **not** assert:
+
+- that a link in a comment carries a measured reach cost (no primary source either way)
+- that author comments are auto-pinned or auto-promoted (they are not — pinning is manual)
+- any percentage figure for what a first comment gains or costs you
+
+Treat every timing and placement rule here as a hypothesis to test against your own
+baseline, not a mechanic to optimize against. The one durable claim is the body-link
+correlation itself, and even that is a correlation.
+
 ## Timing Strategy
 
 ### Immediate (within 60 seconds)
 **Best for:** Link-sharing, resource lists, CTA
-**Why:** Ensures the comment appears at the top before others comment. LinkedIn treats author comments as pinned by default when posted first.
+**Why:** Being first gives the comment the best odds of sitting at the top before others arrive. **There is no automatic pinning** — LinkedIn documents pinning as an explicit action the post author takes from the comment's three-dot menu (LinkedIn Help, a524166), and default comment ordering is algorithmic ("Most relevant"), not chronological. If the comment must stay on top, pin it yourself.
 
 ### Delayed (15-30 minutes)
 **Best for:** Engagement boost, conversation starter, hot take

references/newsletter-strategy-guide.md

@@ -6,18 +6,26 @@ LinkedIn Newsletters are a powerful tool for building an owned audience within L
 
 ## When to Launch Your Newsletter
 
-### Minimum Thresholds
+### Not a platform gate — a readiness judgment
 
-- **5,000+ followers** (ensures viable initial subscriber base)
+**LinkedIn imposes no follower minimum on individual members:** "All LinkedIn members have
+access to create a newsletter on LinkedIn" (LinkedIn Help, *Newsletters on LinkedIn FAQ*,
+a517914; company pages have separate access criteria). Everything below is an editorial
+readiness bar, not a requirement — you *can* launch at any size, the question is whether
+you should.
+
+### Readiness signals
+
+- **An audience large enough that a launch issue lands somewhere** — a few thousand
+  followers is a common working floor, but it is a heuristic, not a threshold
 - **3+ months of consistent posting** (proven content discipline)
 - **Clear topical authority** (algorithm recognizes your expertise)
 - **Reliable content generation system** (can sustain weekly/biweekly publishing)
 
-### Why Wait Until 5,000+
+### Why size matters at all
 
-- Newsletter notifications go to all subscribers (empty newsletters damage credibility)
+- Every issue notifies every subscriber — thin editions damage credibility at any scale
 - Lower subscriber counts reduce perceived authority
-- Algorithm favors newsletters from established creators
 - Need sufficient content library to repurpose effectively
 
 ### Red Flags You're Not Ready
@@ -40,7 +48,11 @@ LinkedIn Newsletters are a powerful tool for building an owned audience within L
 
 ### LinkedIn Newsletters
 
-- Direct notification to ALL subscribers (inbox + email notification)
+- Direct notification to ALL subscribers — but **not necessarily by email**: LinkedIn
+  de-duplicates across channels, and "if you receive an in-app or push notification, you
+  should not expect to also receive an email for the same notification" (LinkedIn Help,
+  a517914). Treat the notification as the reliable channel and email as a bonus; do not
+  plan an edition around inbox delivery
 - Owned audience (subscribers chose to be notified)
 - **Ideal for:** Deeper dives, comprehensive frameworks, email list building, monetization
 - Higher commitment from subscribers (they opted in)
@@ -278,7 +290,7 @@ When someone engages deeply on a topic:
 
 | Mistake | Fix |
 |---------|-----|
-| Launching too early | Wait until 5,000+ followers and consistent posting habit |
+| Launching too early | Nothing on the platform stops you — wait for a consistent posting habit and an audience worth notifying |
 | Inconsistent publishing | Choose sustainable frequency and never skip |
 | Newsletter as dumping ground for post leftovers | Provide genuine additional value, not reposts |
 | Over-promoting newsletter in every post | Subtle mentions, maximum 1 per 5-7 posts |
@@ -289,4 +301,4 @@ When someone engages deeply on a topic:
 
 ## Bottom Line
 
-Newsletters are powerful for building owned audience and deepening relationships, but only after establishing consistent posting and reaching 5,000+ followers. Quality and consistency matter more than frequency.
+Newsletters are powerful for building owned audience and deepening relationships. LinkedIn lets any member start one — the real gate is editorial: a consistent posting habit, a clear topic, and enough content capacity to sustain the cadence. Quality and consistency matter more than frequency.