| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.233 | | leniency | 0.467 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1221 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 71.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1221 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "stomach" | | 1 | "footsteps" | | 2 | "perfect" | | 3 | "comforting" | | 4 | "crystal" | | 5 | "clenching" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 74 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 74 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1233 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 956 | | uniqueNames | 21 | | maxNameDensity | 0.94 | | worstName | "Herrera" | | maxWindowNameDensity | 2 | | worstWindowName | "Herrera" | | discoveredNames | | Old | 1 | | Compton | 1 | | Street | 3 | | Raven | 1 | | Nest | 3 | | Harlow | 1 | | Quinn | 7 | | Bering | 1 | | Strait | 1 | | Catacombs | 1 | | Palermo | 1 | | Herrera | 9 | | Dean | 1 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Centre | 1 | | Point | 1 | | Camden | 2 | | High | 1 | | Morris | 2 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Harlow" | | 3 | "Quinn" | | 4 | "Herrera" | | 5 | "Morris" |
| | places | | 0 | "Old" | | 1 | "Compton" | | 2 | "Street" | | 3 | "Bering" | | 4 | "Strait" | | 5 | "Palermo" | | 6 | "Dean" | | 7 | "Charing" | | 8 | "Cross" | | 9 | "Road" | | 10 | "Centre" | | 11 | "Point" | | 12 | "Camden" | | 13 | "High" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1233 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 24.66 | | std | 19.08 | | cv | 0.774 | | sampleLengths | | 0 | 23 | | 1 | 56 | | 2 | 2 | | 3 | 23 | | 4 | 52 | | 5 | 16 | | 6 | 42 | | 7 | 10 | | 8 | 5 | | 9 | 34 | | 10 | 2 | | 11 | 43 | | 12 | 2 | | 13 | 25 | | 14 | 2 | | 15 | 54 | | 16 | 23 | | 17 | 2 | | 18 | 14 | | 19 | 20 | | 20 | 13 | | 21 | 10 | | 22 | 71 | | 23 | 55 | | 24 | 47 | | 25 | 17 | | 26 | 49 | | 27 | 8 | | 28 | 24 | | 29 | 22 | | 30 | 4 | | 31 | 27 | | 32 | 47 | | 33 | 9 | | 34 | 35 | | 35 | 26 | | 36 | 6 | | 37 | 31 | | 38 | 1 | | 39 | 30 | | 40 | 4 | | 41 | 3 | | 42 | 60 | | 43 | 58 | | 44 | 16 | | 45 | 49 | | 46 | 20 | | 47 | 9 | | 48 | 11 | | 49 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 74 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 154 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 97 | | ratio | 0.093 | | matches | | 0 | "Maps papered the walls — the Bering Strait, the Catacombs of Palermo — each one pinned beneath black-and-white photographs of men long dead." | | 1 | "He glanced past her shoulder — the door, the rain, the street." | | 2 | "Then he was moving — over the bar hatch in one motion, through the bookshelf, which swung on a hidden hinge and crashed shut behind him." | | 3 | "Behind a construction hoarding stencilled DANGER — KEEP OUT, white chalk marked the brick in a spiral she didn't recognise, and Herrera wrenched open a rusted door that shouldn't have had a handle anymore." | | 4 | "Behind it, a figure in an oilskin coat held the lantern up, and the light caught no face she could name — only a jaw wrapped in grey wool and eyes that reflected the flame flat, like coins." | | 5 | "Herrera lifted a bone disc on a cord — twin to the one in her pocket — and pressed it to the iron." | | 6 | "Something crossed his face — grief, or its fossil." | | 7 | "Behind it, a tunnel breathed warm air up at her — smoke, wet stone, something copper underneath." | | 8 | "Her thumb found the watch on her wrist — worn leather, cracked at the clasp." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 949 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.02107481559536354 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.001053740779768177 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 12.71 | | std | 9.82 | | cv | 0.772 | | sampleLengths | | 0 | 23 | | 1 | 17 | | 2 | 23 | | 3 | 16 | | 4 | 2 | | 5 | 3 | | 6 | 3 | | 7 | 15 | | 8 | 2 | | 9 | 17 | | 10 | 35 | | 11 | 9 | | 12 | 7 | | 13 | 28 | | 14 | 14 | | 15 | 5 | | 16 | 5 | | 17 | 5 | | 18 | 12 | | 19 | 9 | | 20 | 13 | | 21 | 2 | | 22 | 6 | | 23 | 26 | | 24 | 11 | | 25 | 2 | | 26 | 25 | | 27 | 2 | | 28 | 24 | | 29 | 6 | | 30 | 24 | | 31 | 4 | | 32 | 1 | | 33 | 12 | | 34 | 6 | | 35 | 2 | | 36 | 8 | | 37 | 6 | | 38 | 10 | | 39 | 10 | | 40 | 6 | | 41 | 7 | | 42 | 10 | | 43 | 25 | | 44 | 14 | | 45 | 16 | | 46 | 8 | | 47 | 8 | | 48 | 21 | | 49 | 34 |
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| 79.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.4742268041237113 | | totalSentences | 97 | | uniqueOpeners | 46 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 71 | | matches | | 0 | "Then he was moving —" | | 1 | "Then the green of the" | | 2 | "Somewhere far down, voices spoke" |
| | ratio | 0.042 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 71 | | matches | | 0 | "He looked up." | | 1 | "She laid her warrant card" | | 2 | "She tipped her head toward" | | 3 | "He glanced past her shoulder" | | 4 | "He vaulted a market barrow," | | 5 | "Her radio crackled against her" | | 6 | "She keyed the transmit button" | | 7 | "Her thumb lifted off the" | | 8 | "she said to the rain," | | 9 | "He cut north up Charing" | | 10 | "She filed the question away" | | 11 | "He banked onto Camden High" | | 12 | "He tapped his own chest," | | 13 | "He turned and passed through" | | 14 | "She held up the bone" | | 15 | "She had checked every week" | | 16 | "Her thumb found the watch" | | 17 | "She'd cut it off Morris" | | 18 | "It still kept perfect time," | | 19 | "Her jaw ached from clenching." |
| | ratio | 0.296 | |
| 86.76% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 71 | | matches | | 0 | "Rain drove sideways up Old" | | 1 | "Detective Harlow Quinn shouldered the" | | 2 | "Maps papered the walls —" | | 3 | "He looked up." | | 4 | "A scar rode the outside" | | 5 | "She laid her warrant card" | | 6 | "Herrera folded the cloth, one" | | 7 | "She tipped her head toward" | | 8 | "Something shifted behind his face." | | 9 | "He glanced past her shoulder" | | 10 | "Herrera's hand closed around a" | | 11 | "A fire door banged somewhere" | | 12 | "The alley behind the Nest" | | 13 | "He vaulted a market barrow," | | 14 | "Her radio crackled against her" | | 15 | "She keyed the transmit button" | | 16 | "Herrera's voice came back over" | | 17 | "Her thumb lifted off the" | | 18 | "The radio went quiet in" | | 19 | "she said to the rain," |
| | ratio | 0.746 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 2 | | matches | | 0 | "Then he was moving — over the bar hatch in one motion, through the bookshelf, which swung on a hidden hinge and crashed shut behind him." | | 1 | "Behind a construction hoarding stencilled DANGER — KEEP OUT, white chalk marked the brick in a spiral she didn't recognise, and Herrera wrenched open a rusted d…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.033 | | leniency | 0.067 | | rawRatio | 0 | | effectiveRatio | 0 | |