ktg-plugin-marketplace/plugins/linkedin-studio/config/personas.template.md
Kjell Tore Guttormsen e69ea1f4c9 feat(linkedin-studio): v3.1.0 — Endring 9 adversarial review-pakke + per-artefakt personas
Cold, adversarial review package for the long-form pipeline + configurable
per-edition personas. Motivated by Del 4 (Security Champions pivot): the
in-session editor + persona sweep shared the drafting session's framing-bias,
so the shipped version was never independently re-reviewed.

Headless package (9a/9b):
- New Step 6.5 (headless-review) in /linkedin:newsletter, after the persona
  sweep, before lock — the independence layer the in-session gates can't be.
- New standalone /linkedin:headless-review command (run in a fresh session for
  maximum isolation; reconstructs frozen draft + contract + personas from disk).
- 3 new Opus archetypes, each with a cardinal context-isolation block that
  refuses drafting-session framing as "context pollution":
  - content-reviewer (argument integrity C1–C5, ≤8 flags)
  - language-reviewer (Norwegian language L1–L5, ≤10 flags)
  - fact-reviewer (cold re-verification F1–F4, risk-sort + pivot-risk, WebSearch)
- Deliberate redundancy with fact-checker / editorial-reviewer documented so
  the pairs are never de-duplicated.

Pivot-reopen (9c):
- New /linkedin:pivot command: logs articles.NN.pivots[], resets currentPhase,
  un-locks, marks gates to re-run.
- Pivot-detection gate in Step 8 lock precondition (>20% word-count change or
  >2 new sections re-opens cleared gates). Del 4 v8→v11 worked example.

Per-artifact personas (new requirement):
- articles.NN.personas with resolution order (edition-state → series file →
  plugin library → interactive). One or more readers configurable per edition.

Schema/docs:
- edition-state.template.json: additive personas[], pivots[], headlessReview,
  headless-review phase (16 phases); personaSweep.resonance.wordCount baseline.
- 3 fasit fixtures + 3 structural lint tests (Del 4 worked cases).
- Counts: 24→26 commands, 16→19 agents, 15→16 newsletter phases.
- README + CLAUDE.md (plugin + root) + CHANGELOG synced.

Verification: 35 agent-fixture + 59 hook + 20 render tests green. Backward-
compatible (additive state); reload required before the 3 new agents resolve.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-05-29 13:01:24 +02:00

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Markdown

# Reader Persona Library
Reusable reader profiles for the long-form pipeline (`/linkedin:newsletter`).
A reader persona is **not** a target-audience demographic — it is a named
reader who reads a finished draft *read-only* and judges whether it **lands**
(not whether it is "correct"). Personas give direction; the editor holds the
pen. Personas never write text.
Copy this file to `personas.local.md` and adjust the active set per project:
```bash
cp config/personas.template.md config/personas.local.md
```
`personas.local.md` is gitignored (via `*.local.md`) so your active overrides
stay local. The template ships the three Seres seed personas below; clone,
trim, or extend them per series.
---
## How the library is used
- **Per-project selection.** `/linkedin:newsletter` (Step 1) picks the relevant
personas from this library and marks the primary in the edition brief.
- **«primær trumfer».** Exactly one persona is the **primær** reader. On
conflict between personas, the primær weighs highest. A *secondary* NO caused
by role mismatch or an expertise ceiling («this I already know cold») is a
SIGNAL that the gate works — accept it, do not distort the text to chase it.
A *primær* NO is **not** accepted: the text is revised until the primær
reaches a clean YES.
- **Two sweep modes** (same `persona-reviewer` agent): resonance mode (Step 6,
BEFORE lock — «does the point land for this reader?») and conversion mode
(Step 9, after lock — binary «would YOU click?» on the hook only).
### Per-artifact personas (one or more personas per edition)
This library is a *starting point*, not a fixed cast. **Each artifact (each
newsletter edition) carries its own resolved persona set** — one or more
personas, exactly one marked `primær` — so different editions can target
different readers without editing a shared file. `/linkedin:newsletter` Step 1
**resolves** the active set in this order and records it in
`edition-state.json``articles.NN.personas` (so it is stable across the
multi-session pipeline and is the single source the Step 6 sweep AND the
Step 6.5 headless package read):
1. **Already in `articles.NN.personas`** → use as-is (a resumed edition keeps
the set it was calibrated with).
2. **`<serie>/linkedin/personas.md`** (a per-series file, same block grammar as
below) → load it. Use this when a whole series shares a cast.
3. **Plugin `config/personas.local.md`** (else this `personas.template.md`) →
select the relevant subset of the global library.
4. **None / insufficient****define interactively** in Step 1 (the operator
names one or more personas and their five fields via `AskUserQuestion`); the
resolved set is written to `articles.NN.personas`.
Each resolved entry carries the five fields below plus `tier`
(`primær` | `sekundær`) and `source` (`edition-state` | `series-file` |
`plugin-library` | `interactive`). Exactly one `primær` per artifact; «primær
trumfer» (below) is unchanged. Personas defined interactively for one edition
can be promoted to a reusable block by pasting them into `personas.local.md`
(plugin-wide) or `<serie>/linkedin/personas.md` (series-wide).
### The click-gate is blocking (bar = primær ekte JA)
The persona sweep is not advisory — it returns a **blocking verdict**
(PASS / REWORK / BLOCK), and the bar is the **primær reader's genuine, unqualified
JA**. The three Seres seed personas are the canonical set: **A = IT-divisjonsdirektør**
(sekundær), **B = KI-seksjonsleder** (sekundær), **C = Linjeleder** (PRIMÆR — trumfer).
- **Bar = C ekte JA.** A clean, unqualified yes from the primær. **«JA med store
forbehold» = NEI.**
-**Hard fail (= omskriv, ikke annotér):** the verdict is BLOCK, regardless of
the other axes, when the primær —
- «mistet meg» (disengaged before the takeaway), or
- does not own the action (the takeaway is someone else's job), or
- hits a **sjargong-mur** (a wall of technical vocabulary their `sjargong`
rejects), or
- hits a **modell-/navne-katalog** (product/model/benchmark names listed for
completeness).
- These are **rewrite triggers**, not annotations the editor can wave through. A
*sekundær* NO from a role/expertise ceiling stays a SIGNAL the gate works —
never distort the text to chase it.
Each persona documents five fields. Keep the lowercase field keys exactly — the
pipeline and the structural check key off them:
- **rolle** — who they are and what they own.
- **avkobler** — what disconnects them / makes them stop reading.
- **overbeviser** — what convinces them / earns their trust.
- **ekspertise** — expertise level, including any ceiling that makes basics fall flat.
- **sjargong** — jargon tolerance (which vocabulary lands, which repels).
---
## Seed personas (Seres series, public-sector AI adoption)
### Persona 1 — IT-divisjonsdirektør (sekundær)
- **rolle** — Leder IT-divisjonen i en stor offentlig virksomhet; eier drift,
sikkerhet, arkitektur og leverandørforhold med budsjett- og risikoansvar.
- **avkobler** — Hype uten driftskonsekvenser; «AI løser alt»; manglende kobling
til sikkerhet, forvaltningskrav og totalkostnad; abstrakt strategiprat uten et
klart hvem-eier-hva.
- **overbeviser** — Konkret arkitektur og driftsmodell, etterlevelse/sikkerhet,
realistisk totalkostnad, referanser fra sammenlignbar virksomhet, og en tydelig
ansvarsdeling.
- **ekspertise** — Høy teknisk og organisatorisk. Ekspertise-tak på grunnleggende
IT-forklaringer: en post som forklarer systemintegrasjon fra bunnen lander ikke
(sekundær-NEI her er et signal, ikke en svikt).
- **sjargong** — Høy toleranse for IT-/arkitektur-sjargong; lav for AI-buzzwords
og konsulentspråk.
### Persona 2 — KI-seksjonsleder (sekundær)
- **rolle** — Leder en KI-seksjon; bygger AI-kapabilitet, rådgir ledelsen og
balanserer eksperimentering mot forvaltningskrav.
- **avkobler** — Overforenkling av hva AI er; ignorering av governance, EU AI Act
og personvern; «bare kjør i gang»-holdning; manglende erkjennelse av at
dømmekraften ikke kan settes ut.
- **overbeviser** — Nyansert forståelse av hva AI kan og ikke kan, konkret kobling
til forvaltningsverdier, erfaringsbasert framfor teoretisk, og ærlighet om
begrensninger.
- **ekspertise** — Høy i AI-domenet. Ekspertise-tak: kjenner modellene og
teknikkene, så en «hva er en LLM»-post faller flatt. Verdien ligger i syntese
og dømmekraft, ikke grunnkurs.
- **sjargong** — Høy toleranse for AI-/ML-sjargong; lav for vagt lederspråk og
overdreven popularisering.
### Persona 3 — Linjeleder (primær)
> **Dette er primær-personaen.** Ved konflikt mellom personaer vekter denne
> høyest. En primær-NEI godtas ikke — teksten revideres til ren primær-JA.
- **rolle** — Mellomleder med fag- og personalansvar i offentlig virksomhet; skal
beslutte om og hvordan AI tas i bruk i egen enhet, uten dyp teknisk bakgrunn.
- **avkobler** — Teknisk dypdykk uten «hva betyr dette for meg og mine»;
frykt-retorikk; abstrakt policy; språk som forutsetter at hen kan koden.
- **overbeviser** — Konkrete eksempler fra arbeidshverdagen, et klart ansvars- og
dømmekraftsbilde, trygghet på at hen kan ta gode beslutninger uten å være
tekniker, og en leder-takeaway hen kan handle på allerede i morgen.
- **ekspertise** — Lav-til-middels teknisk; høy på ledelse og forvaltning. Trenger
oversettelse, ikke nedlatenhet.
- **sjargong** — Lav toleranse for teknisk sjargong; setter pris på presise,
hverdagsnære formuleringer.
---
## Adding a persona
Copy the block below into `personas.local.md` and fill every field. Mark at most
one persona as `primær` per project; if you add a new primary, demote the old one
to sekundær.
```markdown
### Persona N — [Title] ([primær | sekundær])
- **rolle** — [Who they are and what they own.]
- **avkobler** — [What makes them stop reading.]
- **overbeviser** — [What earns their trust.]
- **ekspertise** — [Expertise level + any ceiling that makes basics fall flat.]
- **sjargong** — [Which vocabulary lands, which repels.]
```