| 94.74% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 19 | | tagDensity | 0.158 | | leniency | 0.316 | | rawRatio | 0.333 | | effectiveRatio | 0.105 | |
| 94.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1808 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 72.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1808 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "fractured" | | 1 | "flickered" | | 2 | "standard" | | 3 | "glistening" | | 4 | "silence" | | 5 | "echoed" | | 6 | "streaming" | | 7 | "pulsed" | | 8 | "etched" | | 9 | "weight" |
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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 | 145 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 145 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "happened to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 161 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1816 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1650 | | uniqueNames | 23 | | maxNameDensity | 0.61 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 3 | | Quinn | 10 | | Dean | 1 | | Street | 1 | | Tomás | 1 | | Herrera | 5 | | London | 2 | | Raven | 3 | | Nest | 3 | | Saint | 1 | | Christopher | 1 | | Morris | 3 | | Deptford | 2 | | Underground | 1 | | Tube | 1 | | Oyster | 1 | | Camden | 2 | | Metropolitan | 1 | | Police | 1 | | Seville | 1 | | Silence | 1 | | Tuesday | 1 | | Rain | 3 |
| | persons | | 0 | "Quinn" | | 1 | "Tomás" | | 2 | "Herrera" | | 3 | "Raven" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Morris" | | 7 | "Deptford" | | 8 | "Rain" |
| | places | | 0 | "Soho" | | 1 | "Dean" | | 2 | "Street" | | 3 | "London" | | 4 | "Seville" |
| | globalScore | 1 | | windowScore | 1 | |
| 46.91% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 97 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like ceramic tile" | | 1 | "looked like bone, pale and polished by th" | | 2 | "felt like the Deptford warehouse all ov" | | 3 | "as if checking for forgery" |
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| 89.87% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.101 | | wordCount | 1816 | | matches | | 0 | "not the sanitised version from the memorial service, but the real memory, the one she carried like a stone in her che" | | 1 | "not her warrant card, but a plain white business card with her mobile number" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 161 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 32.43 | | std | 25.63 | | cv | 0.79 | | sampleLengths | | 0 | 71 | | 1 | 40 | | 2 | 70 | | 3 | 3 | | 4 | 13 | | 5 | 77 | | 6 | 11 | | 7 | 45 | | 8 | 55 | | 9 | 92 | | 10 | 3 | | 11 | 64 | | 12 | 84 | | 13 | 36 | | 14 | 1 | | 15 | 8 | | 16 | 3 | | 17 | 37 | | 18 | 13 | | 19 | 12 | | 20 | 71 | | 21 | 4 | | 22 | 18 | | 23 | 3 | | 24 | 65 | | 25 | 32 | | 26 | 7 | | 27 | 11 | | 28 | 73 | | 29 | 39 | | 30 | 10 | | 31 | 6 | | 32 | 20 | | 33 | 4 | | 34 | 4 | | 35 | 77 | | 36 | 30 | | 37 | 13 | | 38 | 35 | | 39 | 30 | | 40 | 31 | | 41 | 22 | | 42 | 1 | | 43 | 13 | | 44 | 50 | | 45 | 14 | | 46 | 39 | | 47 | 23 | | 48 | 86 | | 49 | 39 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 145 | | matches | | 0 | "been modified" | | 1 | "was carved" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 273 | | matches | | 0 | "was looking" | | 1 | "was carrying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 0 | | flaggedSentences | 14 | | totalSentences | 161 | | ratio | 0.087 | | matches | | 0 | "The beam cut a pale wedge through the dark and found nothing — overturned bins, a mattress bloated with water, a rat the size of a terrier that regarded her with flat disinterest before sliding into a drainpipe." | | 1 | "There — a service door, painted the same dull brown as the brickwork, standing two inches ajar." | | 2 | "A smell rose from below — old stone, ozone, something organic and sweet she couldn't place." | | 3 | "DS Morris flickered through her mind — not the sanitised version from the memorial service, but the real memory, the one she carried like a stone in her chest." | | 4 | "The walls changed texture under her trailing hand — from brick to rough stone to something smooth and cool that felt like ceramic tile." | | 5 | "Old London Underground, she recognized — the rounded tunnel shape, the tile work." | | 6 | "She'd heard it whispered in interview rooms over the past year — fragments, half-sentences from suspects who clammed up the moment they realized they'd said too much." | | 7 | "Maybe Camden was last month, and this — this was now." | | 8 | "In the sudden dark, she could see light bleeding around the edges of the platform — warm, flickering, the colour of firelight." | | 9 | "But the alternative — walking back up those stairs, driving home, lying in bed while the rain battered her window — felt like the Deptford warehouse all over again." | | 10 | "She pulled a card from her wallet — not her warrant card, but a plain white business card with her mobile number and nothing else." | | 11 | "She could hear music now — something stringed and old, a melody she didn't recognize." | | 12 | "The image showed the stairs clearly enough — stone, spiralling, disappearing into dark." | | 13 | "A disc the size of a two-pound coin, carved from pale material, smooth on one side, etched with a symbol on the other — a circle bisected by a vertical line, radiating smaller marks like a compass rose." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1641 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.028031687995124923 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.006093845216331505 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 161 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 161 | | mean | 11.28 | | std | 8.48 | | cv | 0.752 | | sampleLengths | | 0 | 27 | | 1 | 28 | | 2 | 16 | | 3 | 4 | | 4 | 3 | | 5 | 2 | | 6 | 19 | | 7 | 12 | | 8 | 11 | | 9 | 5 | | 10 | 25 | | 11 | 29 | | 12 | 3 | | 13 | 13 | | 14 | 3 | | 15 | 13 | | 16 | 12 | | 17 | 11 | | 18 | 38 | | 19 | 2 | | 20 | 6 | | 21 | 3 | | 22 | 10 | | 23 | 17 | | 24 | 5 | | 25 | 13 | | 26 | 5 | | 27 | 28 | | 28 | 16 | | 29 | 6 | | 30 | 17 | | 31 | 2 | | 32 | 2 | | 33 | 6 | | 34 | 29 | | 35 | 12 | | 36 | 12 | | 37 | 6 | | 38 | 6 | | 39 | 3 | | 40 | 9 | | 41 | 24 | | 42 | 3 | | 43 | 10 | | 44 | 2 | | 45 | 16 | | 46 | 10 | | 47 | 13 | | 48 | 12 | | 49 | 14 |
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| 67.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.45962732919254656 | | totalSentences | 161 | | uniqueOpeners | 74 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 131 | | matches | | 0 | "Maybe it moved." | | 1 | "Maybe Camden was last month," | | 2 | "More like a recalibration." | | 3 | "Somewhere in there, a former" | | 4 | "Then he tucked it into" | | 5 | "Then she climbed." | | 6 | "Just a detective on a" |
| | ratio | 0.053 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 131 | | matches | | 0 | "She keyed her radio." | | 1 | "She'd been losing signal for" | | 2 | "She stuffed the radio back" | | 3 | "He was quick for someone" | | 4 | "She'd only wanted to talk." | | 5 | "She'd watched him." | | 6 | "She swept the torch along" | | 7 | "She stood at the top" | | 8 | "His face in the torchlight" | | 9 | "She went down." | | 10 | "She was looking at an" | | 11 | "He looked at Quinn the" | | 12 | "She reached for her warrant" | | 13 | "She held up the ID" | | 14 | "She'd heard it whispered in" | | 15 | "She turned the torch back" | | 16 | "She considered forcing the issue." | | 17 | "She might as well handcuff" | | 18 | "She pressed her lips together" | | 19 | "She stared past him at" |
| | ratio | 0.29 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 131 | | matches | | 0 | "Harlow Quinn's boots slapped through" | | 1 | "She keyed her radio." | | 2 | "Static hissed back." | | 3 | "She'd been losing signal for" | | 4 | "She stuffed the radio back" | | 5 | "He was quick for someone" | | 6 | "She'd only wanted to talk." | | 7 | "The alley narrowed." | | 8 | "Brick walls climbed five stories" | | 9 | "A fire escape hung overhead," | | 10 | "Quinn's hand found the grip" | | 11 | "The beam cut a pale" | | 12 | "She'd watched him." | | 13 | "She swept the torch along" | | 14 | "There — a service door," | | 15 | "Rain pooled on its threshold." | | 16 | "A scuff mark in the" | | 17 | "Quinn pulled the door open." | | 18 | "Stone steps descended into a" | | 19 | "A smell rose from below" |
| | ratio | 0.679 | |
| 38.17% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 131 | | matches | | 0 | "As if the camera's sensor" |
| | ratio | 0.008 | |
| 80.36% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 80 | | technicalSentenceCount | 7 | | matches | | 0 | "Rain hammered the pavement in sheets, turning Soho's narrow streets into black mirrors that reflected the amber glow of streetlamps and the fractured neon of sh…" | | 1 | "She'd been losing signal for the past two blocks, which shouldn't have been possible this close to central London." | | 2 | "Where an Oyster card reader should have sat, a small dish waited, carved from bone or something that looked like bone, pale and polished by the passage of count…" | | 3 | "Alone, underground, no communications, in a place that shouldn't exist, surrounded by people who had every reason to dislike the Metropolitan Police." | | 4 | "Information about the people who gathered in the back room of The Raven's Nest, behind that bookshelf she'd glimpsed once through the bar's rear window." | | 5 | "Rain echoed down the stairwell behind her, a distant percussion that reminded her the real world waited at the top of those steps, with its rules and its report…" | | 6 | "She straightened, slipped it into the pocket opposite her phone, and stood there on the kerb, rain hammering her shoulders, staring at the empty alley she'd jus…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.105 | | leniency | 0.211 | | rawRatio | 0 | | effectiveRatio | 0 | |