writing-intelligence git:20260527.19f56b6A

Immutable. This exact content never changes and is served at /api/v1/blob/dc9cad2ad36d9e71.

---
name: writing-intelligence
description: Writing Intelligence v3.0 — Sovereign Writing Operating System. 11-pass governed compiler, 12 engines, 12 specialist agents, 11 machine-readable schemas, epistemic ledger, voice fingerprinting, genre stacking, storyworld memory, arena delivery, benchmark regression. 27 domain packs (fiction, dialogue, thriller, transmedia, grant/NOFO, sermon, technical docs, social media, YouTube, newsletter, real estate, loan officer, church leadership, small business, journalism, resume, academic, sales, email, speech, pitch, government brief, medical, legal, patent, cinematic). Trigger on: write, rewrite, edit, draft, revise, ghostwrite, compile, audit, score, grade, redline, voice fingerprint, voice drift, genre stack, epistemic ledger, architecture graph, scene graph, delivery bundle, benchmark, prose, chapter, sermon, speech, pitch, memo, narrative, dialogue, scene, thriller, anti-slop, AI detection, grant writing, NOFO, resume, journalism, novel, screenplay, fiction writing.
---

# Writing Intelligence v3.0 — Sovereign Writing Operating System

**Author:** Antonio T. Smith Jr. — Founder & CEO, Density6 LLC
**License:** MIT
**Version:** 3.0.0 (Sovereign Writing OS)
**Lineage:** v1.0 (7-pass compiler, 52 files) → v2.0 (Fiction Intelligence Engine, 58 files) → **v3.0 (11-pass governed kernel, 12 engines, 12 agents, schemas, benchmarks, governance)**

---

## 0. What v3.0 Is

v1.0 proved AI-sounding prose can be defeated by compilation instead of cosmetic cleanup.
v2.0 proved fiction can be engineered as living architecture — scene, chapter, role, dialogue, power, tension, transmedia.

v3.0 proves something larger: **authorship can be governed without being flattened.**

Writing Intelligence v3.0 is no longer only a writing skill. It is an operating system for producing, auditing, scoring, preserving, and deploying high-integrity writing across genres, voices, teams, products, and longform worlds. It runs as one skill or as a coordinated multi-agent writing board. It emits human-readable scorecards and machine-readable JSON. It governs intent, voice, evidence, structure, and delivery — and it remembers what worked so the next release is provably better than the last.

**The v3.0 Law**: *If a rule cannot be applied, audited, scored, tested, or explained — it is not a v3.0 rule yet.*

---

## 1. The v3.0 Formula

**Intent → Corpus → Voice → Genre → Architecture → Evidence → Prose → Scene/Argument → Stress → Score → Delivery → Memory → Benchmark**

| Stage | Meaning | Required Output |
|---|---|---|
| Intent | What the writing must cause | Mission contract |
| Corpus | What source material governs it | Source map / input manifest |
| Voice | Who the writing must sound like | Voiceprint or fingerprint |
| Genre | Which domain rules apply | Genre pack stack |
| Architecture | How the piece is structured | Section / scene blueprint |
| Evidence | Which claims need support | Epistemic ledger |
| Prose | Actual language production | Draft output |
| Scene/Argument | Narrative or persuasive engine | Scene or argument graph |
| Stress | Weakness interrogation | Adversarial audit |
| Score | Quality measurement | Scorecard (human + JSON) |
| Delivery | Format-specific packaging | Output mode bundle |
| Memory | What persists across sessions | Continuity + project memory update |
| Benchmark | Whether quality improved | Regression results |

---

## 2. Architecture: 11-Pass Compilation Kernel

Every piece of writing processed by v3.0 runs through eleven sequential passes. Passes may be skipped only by explicit reason. Each pass leaves an audit artifact. Each rewrite preserves an original-to-new trace when redline mode is active.

| Pass | Name | Purpose | Core Artifact |
|---|---|---|---|
| 0 | Intake Contract | Lock task, source, constraints, audience, output mode | `IntakeContractV3` |
| 1 | Mission Lock | Define what the text must do | `MissionLockV3` |
| 2 | Corpus & Context Ingestion | Map source material, user inputs, prior docs | `CorpusMapV3` |
| 3 | Diagnostic Scan | Identify residue, gaps, drift, slop, weak claims | `DiagnosticReportV3` |
| 4 | Architecture Compile | Build section, paragraph, scene, or argument structure | `ArchitecturePlanV3` |
| 5 | Evidence & Epistemic Ledger | Classify claims, sources, inferences, recommendations | `EpistemicLedgerV3` |
| 6 | Sentence Surgery | Remove slop, inject variance, sharpen language | `SentenceSurgeryLogV3` |
| 7 | Voice Restoration | Restore author fingerprint and voice integrity | `VoiceMatchReportV3` |
| 8 | Genre & Arena Alignment | Fit output to channel, profession, platform, reader | `ArenaAlignmentV3` |
| 9 | Adversarial Stress Battery | Attack the draft as reader, editor, skeptic, detector | `StressBatteryV3` |
| 10 | Score & Delivery Packaging | Produce final draft, scorecard, notes, formats | `DeliveryBundleV3` |
| 11 | Memory & Benchmark Update | Save learnings and regression data | `MemoryBenchmarkUpdateV3` |

### 2.1 Pass-Level Execution Rules

- Every pass must be skippable only by explicit reason.
- Every pass must leave an audit artifact.
- Every score must identify the rule it came from.
- Every rewrite must preserve an original-to-new trace when redline mode is active.
- Every output must declare whether it is final, draft, audit-only, or benchmark-only.
- Every claim must be classified before it is strengthened.
- Every voice change must explain whether it increased or decreased authorial fidelity.

### 2.2 Pass 0 — Intake Contract

Read `references/compiler/intake_contract.md` and emit `schemas/intake_contract.schema.json`-shaped object. Lock task mode (draft / rewrite / score / redline / compress / expand / audit / convert / certify), word-count constraints, citation requirements, output formats, forbidden changes, audience, voice target. User-provided constraints override auto-detection.

### 2.3 Pass 1 — Mission Lock

Declare:
- **Intent**: inform / convert / warn / teach / dignify / dominate / comfort / reveal / mobilize / persuade / entertain / defend / terrify / disorient
- **Audience**: vocabulary, abstraction, evidence expectations
- **Voice**: voiceprint from `references/voiceprints/`
- **Genre stack**: one or more packs from `references/genre_packs/`
- **Scale**: sentence / paragraph / scene / chapter / arc / series
- **Success condition**: one sentence describing what "worked" looks like

### 2.4 Pass 2 — Corpus & Context Ingestion

Read `references/compiler/corpus_governance.md`. Separate: user-provided text, repo knowledge, source documents, prior project memory, examples, generated ideas. Mark source priority. Flag stale, contradictory, unsupported claims. Block invented source attribution. Emit `CorpusMapV3`.

### 2.5 Pass 3 — Diagnostic Scan

Read `references/anti_patterns/phrases.md`, `structures.md`, `cadence.md`, `fake_depth.md`. Identify:
- AI residue (phrases, structures, cadence patterns)
- Contradictions within the text
- Vagueness (claims without actors, actions, stakes, specifics)
- Cadence repetition (sentence-length uniformity, transition homogeneity)
- Argument gaps (unsupported claims, missing premises)
- Evidence gaps (assertions without backing)
- Tone drift (sections that shift register without cause)
- Perplexity flatness (vocabulary predictability across paragraphs)
- Burstiness deficit (lack of sentence-length variance)

### 2.6 Pass 4 — Architecture Compile

Read `references/compiler/architecture_graph.md` (sections, paragraphs, claims). For narrative work, also read `references/compiler/scene_graph.md`. For persuasive work, also read `references/compiler/argument_graph.md`. Build the graph. Detect orphan sections, unsupported claims, dead scenes, repeated beats. Emit `ArchitecturePlanV3`.

### 2.7 Pass 5 — Evidence & Epistemic Ledger

Read `references/compiler/epistemic_ledger.md`. Classify each major sentence as **observed fact / sourced fact / inference / synthesis / recommendation / rhetoric**. Mark source status: **verified / user-provided / assumed / inferred / missing / unsafe**. Cap scores for unsupported claims, fabricated citations, universal language. Emit `EpistemicLedgerV3`. **No high-stakes output may pass v3.0 without claim classification.**

### 2.8 Pass 6 — Sentence Surgery

Read `references/compiler/prose_compiler_v3.md`. Apply hard bans, soft bans, earned exceptions. Inject variance. Compress without loss. Track every transformation in `SentenceSurgeryLogV3`. Every cut, strengthening, and preservation is recorded.

### 2.9 Pass 7 — Voice Restoration

Read `references/voiceprints/voice_fingerprint_engine.md` + the applicable voiceprint. Measure baseline: avg sentence length, variance, compression, abstraction tolerance, metaphor density, question frequency, transition habits, dominant syntactic structures. Detect drift. Restore fingerprint. Emit `VoiceMatchReportV3` showing whether fidelity increased or decreased.

### 2.10 Pass 8 — Genre & Arena Alignment

Read `references/compiler/arena_delivery.md` + each active pack from `references/genre_packs/`. Resolve genre collisions per `references/diagnostics/genre_collision_matrix.md`. Output as memo, grant response, sermon, caption, article, chapter, email, pitch slide, YouTube script, newsletter, government brief, SOP, speech, landing page. Enforce channel constraints. Emit `ArenaAlignmentV3`.

### 2.11 Pass 9 — Adversarial Stress Battery

Interrogate:
1. What would a skeptical, smart reader attack first?
2. What sentence could appear in any AI output?
3. What could be cut without losing meaning?
4. What line actually lands?
5. Does the opening earn the next 30 seconds?
6. Does the closing leave residue?
7. Is there a single sentence a human would never write this way?
8. (Narrative) Would a reader turn the page?
9. (Narrative) Does the final image burn?
10. (Dialogue) Can you tell who's speaking with names removed?
11. (High-stakes) What is the worst-faith reading of the strongest claim?
12. (Detector) Could a detector flag any passage on cadence alone?

Emit `StressBatteryV3`.

### 2.12 Pass 10 — Score & Delivery Packaging

Apply all applicable scorecards (see Section 4). Bundle outputs per Pass 0 contract: clean / annotated / redline / scorecard / violations / scene-audit / epistemic-ledger / next-pass. Emit `DeliveryBundleV3`.

### 2.13 Pass 11 — Memory & Benchmark Update

Update project memory (`references/compiler/memory_system.md`). Append benchmark result. Run regression matrix against prior version. If quality dropped > 3 points on any case, log to `tests/regression_matrix.md` and surface for review. Emit `MemoryBenchmarkUpdateV3`.

---

## 3. The 12 Engines of v3.0

| # | Engine | Purpose | Primary Reference |
|---|---|---|---|
| 1 | Intake Contract Engine | Convert every request into a governed task object | `references/compiler/intake_contract.md` |
| 2 | Corpus Governance Engine | Prevent source confusion and hallucinated context | `references/compiler/corpus_governance.md` |
| 3 | Voice Fingerprint Engine | Upgrade voiceprints into measurable authorial profiles | `references/voiceprints/voice_fingerprint_engine.md` |
| 4 | Genre Stack Engine | Allow multiple packs to operate without collision | `references/compiler/genre_stack_engine.md` |
| 5 | Architecture Graph Engine | Explicit graphs for sections, scenes, chapters, arguments | `references/compiler/architecture_graph.md` |
| 6 | Epistemic Ledger Engine | Make factual integrity a first-class primitive | `references/compiler/epistemic_ledger.md` |
| 7 | Prose Compiler Engine | Testable sentence and paragraph rewriting | `references/compiler/prose_compiler_v3.md` |
| 8 | Narrative Intelligence Engine | Storyworld memory, series arcs, continuity | `references/compiler/narrative_intelligence_engine.md` |
| 9 | Arena Delivery Engine | Format for the exact arena where it must win | `references/compiler/arena_delivery.md` |
| 10 | Benchmark & Regression Engine | Prove the system improves over time | `benchmarks/README.md` |
| 11 | Agent Orchestration Engine | Decompose the compiler into specialist agents | `agents/README.md` |
| 12 | Certification & Governance Engine | Turn open-source repo into trusted ecosystem | `governance/` + `certification/` |

---

## 4. Scoring Systems (v3.0)

v3.0 preserves and extends the seven v2.0 rubrics, then adds a v3-grade composite.

| System | Points | Scope |
|---|---|---|
| Prose Quality | 100 | Clarity, specificity, rhythm, voice, argument, evidence, density, audience, memorability, structure |
| Chapter Construction | 100 | Setting, props, tension, power, pacing, foreshadowing, roles, identity, fatal detail, aftermath |
| Dialogue | 100 | Voice distinction, subtext, tension, rhythm, conflict, attribution, compression, exposition, silence, memorability |
| Power Dynamics | 100 | Power object, dual-purpose objects, consumption, spatial coding, gesture warfare, environment |
| Tension Mechanics | 100 | Compression model, false relief, fatal detail, silence, psychological warfare, atmosphere |
| Thriller Scene | 100 | Confined space, cold open, five beats, the turn, the button, violence, WWGW progression |
| Transmedia | 100 | Voice consistency, canon integrity, standalone quality, cross-platform integration |
| **Epistemic Integrity (v3.0)** | 100 | Claim classification coverage, source verification rate, citation honesty, universal-quantifier discipline, hallucination resistance |
| **Arena Fit (v3.0)** | 100 | Channel constraint compliance, audience calibration, format integrity, CTA discipline, readability |
| **v3.0 Composite** | 1000 | Weighted sum of applicable systems |

**Grade Thresholds (per 100-point system):**

- Below 70 — Weak: significant revision required
- 70–79 — Usable but soft: tighten argument and voice
- 80–89 — Strong: publishable with minor polish
- 90–94 — Elite: distinctive, defensible, memorable
- 95–100 — Signature-grade: this could only have come from this author

**Automatic Fail Conditions (score capped at 65 regardless of other marks):**

- 3+ hard-ban phrases detected
- Perplexity flatness across 5+ consecutive sentences
- Zero domain-specific vocabulary in 500+ words
- Argument contains unsupported universal claim
- Fabricated citation, statistic, or quote
- **(v3.0)** Any claim in a high-stakes domain not classified by the Epistemic Ledger
- **(v3.0)** Channel constraint violation in a packaged delivery bundle

---

## 5. The Writing Board — 12 Specialist Agents

v3.0 decomposes the kernel into a coordinated multi-agent writing board. Each agent owns one job and emits one artifact. The board runs as one skill or as a multi-agent orchestration. Read `agents/agent_manifest.yaml` for the canonical roster.

| # | Agent | Job | Artifact |
|---|---|---|---|
| 1 | Intake Architect | Translate request into governed contract | Intake contract |
| 2 | Corpus Auditor | Map allowed sources, prevent blending | Corpus map |
| 3 | Voice Fingerprinter | Identify target voice, measure drift | Voice report |
| 4 | Genre Marshal | Choose genre stack, weight conflicts | Genre matrix |
| 5 | Structure Engineer | Build section / scene / argument plan | Architecture graph |
| 6 | Evidence Prosecutor | Attack unsupported claims, enforce sources | Epistemic ledger |
| 7 | Sentence Surgeon | Repair prose without flattening voice | Rewrite log |
| 8 | Dialogue Commander | Fix conversation, subtext, tension | Dialogue stress report |
| 9 | Narrative Architect | Audit storyworld, chapter, arc, series | Narrative report |
| 10 | Stress Tester | Adversarial battery: reader / editor / skeptic / detector | Stress battery |
| 11 | Scorekeeper | Score all applicable rubrics | Scorecard |
| 12 | Delivery Packager | Format final assets to arena spec | Delivery bundle |

### 5.1 Orchestration Rules

- Intake Architect always runs first.
- Corpus Auditor always runs when sources matter.
- Evidence Prosecutor always runs in academic / medical / legal / government / grant / financial / high-stakes work.
- Narrative Architect runs only for fiction / story / screenplay / scene / lore / transmedia / chapter work.
- Scorekeeper cannot override Evidence Prosecutor's cap rules.
- Delivery Packager cannot invent content; it formats approved content only.

### 5.2 Conflict Resolution

| Conflict | Winner |
|---|---|
| User constraint vs. auto-detected genre | User constraint |
| Evidence integrity vs. persuasive force | Evidence integrity |
| Voice fidelity vs. factual clarity | Factual clarity in high-stakes domains; voice fidelity elsewhere |
| Compression vs. required compliance content | Compliance content |
| Drama vs. story continuity | Story continuity |
| CTA force vs. trust preservation | Trust preservation |

---

## 6. Genre Packs (26 Total in v3.0)

**Preserved from v2.0 (16):** strategy, fiction, sales, academic, speech, sermon, email, pitch_deck, legal_positioning, cinematic_narration, dialogue, government_brief, medical_writing, patent_claims, thriller_scene_architecture, transmedia_character.

**New in v3.0 (10):**

| Pack | Why It Matters | Core Rules |
|---|---|---|
| `grant_nofo.md` | High-value, complex, evidence-heavy | Compliance matrix, funder language, outcome logic, budget narrative alignment |
| `technical_documentation.md` | Developer adoption | Procedural clarity, examples, API structure, error-state documentation |
| `journalism.md` | Public trust, narrative nonfiction | Source discipline, nut graf, scene/reporting balance, quote handling |
| `resume_cover_letter.md` | Mass-market utility | Evidence of impact, role fit, ATS clarity, achievement compression |
| `social_media.md` | Distribution engine | Platform cadence, hook variants, proof compression, CTA discipline |
| `youtube_script.md` | Creator utility | Retention hooks, beat pacing, verbal clarity, open loops |
| `newsletter.md` | Audience ownership | Recurring sections, voice consistency, scannability, argument flow |
| `real_estate.md` | Professional vertical | Listing copy, investor memo, buyer education, local proof |
| `loan_officer.md` | Professional vertical | Trust, compliance-safe clarity, borrower education, rate/term precision |
| `church_leadership.md` | Mission vertical | Sermon, study guide, devotional, announcement, pastoral care tone |
| `small_business_operator.md` | Core user base | Offer clarity, customer journey, proof, local-market persuasion |

Each v3.0 pack obeys the **Domain Pack Schema**: purpose → when to use → when not to use → audience model → required evidence → forbidden claims → voice weighting → structure templates → scoring adjustments → failure modes → before/after examples → stress tests → delivery formats → schema hooks → benchmark cases.

---

## 7. Voiceprint System (v3.0 Measurable)

Read `references/voiceprints/voice_fingerprint_engine.md`. The v3.0 fingerprint upgrades voiceprints from descriptive docs into measurable authorial profiles.

**Measured dimensions:**

- Average sentence length and variance
- Compression ratio (words removed without meaning loss)
- Abstraction tolerance (% of sentences operating above concrete plane)
- Metaphor density (per 500 words)
- Question frequency
- Transition habits (top-5 transition words)
- Opening pattern repertoire
- Closing pattern repertoire
- Dominant syntactic structures
- Authority posture (warmth/dominance dial)

**Available voiceprints (preserved):** sovereign_commander, literary_recursive, sermon_black_church, investor_precision, founder_manifesto, academic_rigorous, casual_sharp, custom.

**New in v3.0:** `courageous_builder.md` — pattern for branded operator personas (Grace, founder assistants, ministry assistants, sales assistants, grant assistants, vertical bots).

---

## 8. Machine-Readable Schemas (11 Schemas)

v3.0's most important technical leap. Every pass output is also a JSON object.

| Schema | Purpose |
|---|---|
| `intake_contract.schema.json` | Formalize user request, constraints, mode, output |
| `corpus_map.schema.json` | Track allowed sources and source priority |
| `voice_fingerprint.schema.json` | Store measurable voice features |
| `genre_stack.schema.json` | Active genre packs and weights |
| `architecture_graph.schema.json` | Section / scene / claim / evidence nodes |
| `epistemic_ledger.schema.json` | Factual status and citation risk |
| `prose_rewrite_log.schema.json` | Sentence transformation log |
| `storyworld_memory.schema.json` | Continuity for longform fiction |
| `delivery_bundle.schema.json` | Final output assets |
| `benchmark_result.schema.json` | Regression and quality deltas |
| `agent_task.schema.json` | Multi-agent orchestration |

Schemas live in `schemas/`. They unlock: CLI execution, MCP server execution, web app integration, CI writing checks, automated scoring, benchmark reports, issue templates, standard contribution tests, reproducible outputs, traceable quality improvement.

---

## 9. Rewrite Operators (24 in v3.0)

Preserved from v2.0 (19) + 5 new in v3.0:

| Operator | Effect |
|---|---|
| `compress(N%)` | Reduce word count by N% without losing meaning |
| `raise_intelligence` | Increase sophistication without jargon |
| `add_specificity` | Replace abstractions with actors, numbers, examples |
| `abstract_to_scene` | Convert conceptual passage into grounded narrative |
| `sharpen_thesis` | Make core claim precise and defensible |
| `strip_corporate` | Remove institutional voice patterns |
| `make_colder` / `make_warmer` | Adjust warmth/dominance dial |
| `make_executable` | Convert insight into action steps |
| `genre_transfer(from, to)` | Rewrite in target genre, preserve content |
| `audience_shift(from, to)` | Adjust register for different reader |
| `inject_variance` | Add sentence-length and vocabulary unpredictability |
| `kill_padding` | Remove every sentence not advancing the argument |
| `strengthen_closing` | Rewrite final paragraph for maximum residue |
| `scene_audit` | Run chapter construction checklist |
| `role_audit` | Map every character to structural archetype |
| `dialogue_stress_test` | Score dialogue against 9 elements + 22 techniques |
| `power_map` | Track power object migration |
| `plant_audit` | Verify foreshadowing plants and payoffs |
| **`intake_contract`** *(v3.0)* | Emit governed task object from chaotic request |
| **`corpus_audit`** *(v3.0)* | Map allowed sources, flag stale/contradictory |
| **`epistemic_classify`** *(v3.0)* | Tag every claim with type + source status |
| **`voice_fingerprint`** *(v3.0)* | Emit measurable voice profile + drift report |
| **`arena_repackage`** *(v3.0)* | Convert approved content to target arena format |
| **`benchmark_run`** *(v3.0)* | Run regression against prior version |

---

## 10. File Reference Map (v3.0)

When this skill triggers, read files in this order based on task:

1. **Always**: This SKILL.md
2. **Always**: `references/anti_patterns/phrases.md`
3. **Pass 0**: `references/compiler/intake_contract.md`
4. **Pass 2**: `references/compiler/corpus_governance.md`
5. **Pass 3**: `references/anti_patterns/structures.md` + `cadence.md` + `fake_depth.md`
6. **Pass 4 (general)**: `references/compiler/architecture_graph.md`
7. **Pass 4 (persuasive)**: `references/compiler/argument_graph.md`
8. **Pass 4 (narrative)**: `references/compiler/scene_graph.md`
9. **Pass 5**: `references/compiler/epistemic_ledger.md`
10. **Pass 6**: `references/compiler/prose_compiler_v3.md` + `references/positive_patterns/paragraph_shapes.md`
11. **Pass 7**: `references/voiceprints/voice_fingerprint_engine.md` + applicable voiceprint
12. **Pass 8 (general)**: `references/compiler/arena_delivery.md`
13. **Pass 8 (mixed genre)**: `references/diagnostics/genre_collision_matrix.md`
14. **Pass 9**: `tests/adversarial_cases.md`
15. **Pass 10**: `references/diagnostics/scorecard.md`
16. **Pass 11**: `references/compiler/memory_system.md` + `benchmarks/runbook.md`
17. **Fiction**: `references/compiler/narrative_intelligence_engine.md` + `storyworld_memory.md` + `chapter_construction.md` + `character_role_archetypes.md`
18. **Thriller**: above + `references/genre_packs/thriller_scene_architecture.md` + `references/positive_patterns/tension_mechanics.md`
19. **Dialogue**: `references/genre_packs/dialogue.md`
20. **Grant / NOFO**: `references/genre_packs/grant_nofo.md` + Pass 5 + Pass 8
21. **Technical docs**: `references/genre_packs/technical_documentation.md`
22. **Journalism**: `references/genre_packs/journalism.md` + Pass 5
23. **Social media**: `references/genre_packs/social_media.md` + Pass 8
24. **YouTube script**: `references/genre_packs/youtube_script.md` + Pass 8
25. **Newsletter**: `references/genre_packs/newsletter.md`
26. **Resume / cover letter**: `references/genre_packs/resume_cover_letter.md`
27. **Real estate**: `references/genre_packs/real_estate.md`
28. **Loan officer**: `references/genre_packs/loan_officer.md` + Pass 5
29. **Church leadership**: `references/genre_packs/church_leadership.md` + `sermon.md`
30. **Small business operator**: `references/genre_packs/small_business_operator.md`
31. **Custom persona**: `references/voiceprints/courageous_builder.md`
32. **Schemas**: `schemas/*.schema.json` for machine-readable execution
33. **Agent execution**: `agents/agent_manifest.yaml` + applicable agent docs
34. **Benchmark**: `benchmarks/benchmark_manifest.yaml`
35. **Certification**: `certification/operator_levels.md`

---

## 11. Output Modes (v3.0)

Default output is **clean**. Pass 0 contract may request any combination:

- `clean` — final draft, no markup
- `annotated` — draft with margin notes explaining decisions
- `redline` — original with tracked changes
- `scorecard` — full evaluation (human + JSON)
- `violations` — every rule triggered and how resolved
- `next-pass` — recommendations for further improvement
- `scene-audit` — chapter construction scorecard (narrative)
- **`epistemic-ledger`** *(v3.0)* — claim classification with source status
- **`delivery-bundle`** *(v3.0)* — packaged for target arena (memo / grant / social / YouTube / etc.)
- **`voice-drift-report`** *(v3.0)* — fingerprint baseline vs. current
- **`benchmark-result`** *(v3.0)* — regression vs. prior version

---

## 12. Epistemic Integrity Layer (v3.0 Hardened)

Every draft classifies sentences as: **observed fact / sourced fact / inference / synthesis / recommendation / rhetoric**.

**Enforcement rules:**

- Sourced facts require citations.
- Inferences must identify their premises.
- Recommendations must state the basis.
- Rhetoric must not masquerade as fact.
- Universal quantifiers (all, every, never, always) require evidence or qualification.
- Inflated verbs (revolutionize, transform, redefine) require concrete backing.
- No fabricated citations, statistics, quotes, or studies — ever.
- **(v3.0)** Every high-stakes domain (academic, medical, legal, government, grant, financial) MUST emit `EpistemicLedgerV3`.
- **(v3.0)** Source status flags: `verified`, `user-provided`, `assumed`, `inferred`, `missing`, `unsafe`. Any `unsafe` flag halts delivery.

---

## 13. Memory and Continuity (Longform)

For multi-chapter or multi-document projects, read `references/compiler/memory_system.md` and `references/compiler/storyworld_memory.md`. Track:

- Character voice continuity
- Thesis continuity
- Repeated metaphor detection
- Cross-section contradictions
- Emotional arc continuity
- Terminology lock (same concept = same word)
- Character role consistency (archetype doesn't shift without cause)
- Power object tracking across chapters
- Foreshadowing ledger (planted / paid off / orphaned)
- **(v3.0)** Storyworld canon hierarchy (canonical / sanctioned / fan-tier)
- **(v3.0)** Series escalation curve (does each book raise stakes or repeat?)
- **(v3.0)** Cross-book voice fingerprint stability

---

## 14. Benchmark Discipline

Read `benchmarks/README.md`, `benchmark_manifest.yaml`, `runbook.md`. v3.0 ships with 60 benchmark cases across 12 categories. A release cannot ship until it passes benchmark thresholds:

| Gate | Requirement |
|---|---|
| Score improvement | v3 output beats v2 baseline by 5+ points on 70%+ of cases |
| No regression | No case drops more than 3 points without documented reason |
| Evidence safety | 100% of fabricated-source traps must be flagged |
| Voice preservation | Voice drift cases identify correct direction 80%+ of time |
| Genre collision | Mixed-genre tasks produce declared genre stack |
| Narrative audit | Story cases identify dead props, flat setting, missing payoff |
| Output packaging | Every benchmark produces valid delivery bundle |

---

## 15. The v3.0 Vow

Writing Intelligence v1.0 proved AI-sounding writing could be defeated by compilation instead of cosmetic cleanup.

Writing Intelligence v2.0 proved fiction could be engineered as a living architecture.

Writing Intelligence v3.0 proves something larger:

> *Authorship can be governed without being flattened. Voice can be preserved while evidence is audited. Creativity can be systematized without becoming sterile. Language can be scored without becoming soulless. And writing can become infrastructure.*

That is the category. That is the moat. That is the release.

**— Antonio T. Smith Jr. / Density6 LLC**