| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1250 | | 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) | |
| 28.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1250 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "echo" | | 1 | "stomach" | | 2 | "could feel" | | 3 | "lilt" | | 4 | "silence" | | 5 | "whisper" | | 6 | "pulse" | | 7 | "pulsed" | | 8 | "echoed" | | 9 | "silk" | | 10 | "flickered" | | 11 | "flicked" | | 12 | "fluttered" | | 13 | "depths" | | 14 | "velvet" |
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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 | 3 | | narrationSentences | 124 | | matches | | 0 | "was scared" | | 1 | "felt the sting" | | 2 | "f with panic" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 124 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 12 | | totalWords | 1228 | | ratio | 0.01 | | matches | | 0 | "Eva did not tell you the whole price." | | 1 | "Rory, it changes you" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1201 | | uniqueNames | 23 | | maxNameDensity | 1.33 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Eva" | | discoveredNames | | Brixton | 1 | | Globe-Trotter | 1 | | London | 2 | | Wandsworth | 1 | | Park | 2 | | Heathrow | 1 | | Eva | 8 | | Cardiff | 1 | | Rory | 16 | | Lee | 1 | | Fae | 1 | | Grove | 1 | | Heartstone | 2 | | British | 1 | | London-normal | 1 | | Margate | 1 | | Notting | 1 | | Hill | 1 | | Welsh | 1 | | Isa | 1 | | Carter | 2 | | Aurore | 1 | | Lalia | 1 |
| | persons | | 0 | "Wandsworth" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Lee" | | 4 | "Heartstone" | | 5 | "Isa" | | 6 | "Carter" | | 7 | "Lalia" |
| | places | | 0 | "Brixton" | | 1 | "London" | | 2 | "Park" | | 3 | "Cardiff" | | 4 | "Fae" | | 5 | "Grove" | | 6 | "Margate" | | 7 | "Notting" | | 8 | "Hill" |
| | globalScore | 0.834 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 90 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 37.13% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.629 | | wordCount | 1228 | | matches | | 0 | "not north, not south, but straight into the ring of oaks" | | 1 | "not south, but straight into the ring of oaks" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 27.91 | | std | 24.41 | | cv | 0.875 | | sampleLengths | | 0 | 97 | | 1 | 75 | | 2 | 15 | | 3 | 13 | | 4 | 2 | | 5 | 51 | | 6 | 2 | | 7 | 12 | | 8 | 2 | | 9 | 39 | | 10 | 44 | | 11 | 2 | | 12 | 68 | | 13 | 76 | | 14 | 40 | | 15 | 9 | | 16 | 44 | | 17 | 7 | | 18 | 51 | | 19 | 9 | | 20 | 68 | | 21 | 5 | | 22 | 33 | | 23 | 4 | | 24 | 47 | | 25 | 2 | | 26 | 49 | | 27 | 45 | | 28 | 6 | | 29 | 27 | | 30 | 37 | | 31 | 5 | | 32 | 37 | | 33 | 34 | | 34 | 32 | | 35 | 7 | | 36 | 5 | | 37 | 35 | | 38 | 5 | | 39 | 2 | | 40 | 42 | | 41 | 8 | | 42 | 28 | | 43 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 124 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 205 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 22 | | semicolonCount | 6 | | flaggedSentences | 24 | | totalSentences | 128 | | ratio | 0.188 | | matches | | 0 | "That, and the dreams—velvety things that unspooled when she closed her eyes: a crimson pendant pulsing like a second heart." | | 1 | "The Heathrow flight path hummed overhead once every ninety seconds—soundtrack of insomnia." | | 2 | "The pulse ran wicked fast—once, twice, three times—then smoothed out, leaving a bruised sensation behind." | | 3 | "No jasmine or night-blooming stock—just earth and rust." | | 4 | "The gaps between them didn’t look like gaps; they pulsed faintly, like swollen eyelids." | | 5 | "That wasn’t news—she’d turned it off before leaving the flat after Eva’s third, frantic voicemail: “Come to the Grove alone. Bring the stone. They’re awake.” No address, no map, just a voice stretched thin over a bad line." | | 6 | "A low, wet clicking started beyond the stones—teeth getting ready." | | 7 | "She forced herself to breathe, shallow counts—4-2-6, the rhythm the counsellor had drilled into her before she deleted the calendar invite." | | 8 | "Tall—too tall—limbs too long, knees bending the wrong way." | | 9 | "The thing behind her outran the sound of fossilised leaves; she could hear its breath, a phlegmy rasp." | | 10 | "The park was a labyrinth mapped in darkness; every turn hit another wall of blackthorn." | | 11 | "She’d taken delivery rounds up here in daylight—never at night." | | 12 | "Richmond Park wasn’t a place; it was a set for horror films." | | 13 | "The contact seared—sharp as holding a live wire." | | 14 | "The creature shrieked; a noise like tearing silk." | | 15 | "The night felt normal—British, damp, London-normal." | | 16 | "Pain flared in her wrist—old scar sliced open afresh, thin bloom of red against the tattoo of faded ink from last summer’s drunken night in Margate." | | 17 | "Then a sound like paper tearing—pages flicked open, too fast." | | 18 | "No note, no body, no prints on the fire escape ladder—just the pendant left on Eva’s pillow, still warm." | | 19 | "The pendant wasn’t a gift; it called to her because it recognised kindred blood." | | 20 | "Eva had been something else before she met Rory—something older than generation-old Welsh families." | | 21 | "Her left wrist bled in two fresh lines—mirror of the crescent scar from childhood." | | 22 | "The Heartstone grew warmer, pulling her forward—not north, not south, but straight into the ring of oaks." | | 23 | "Behind her, the modern park remained—empty, peaceful, unaware." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1231 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 49 | | adverbRatio | 0.039805036555645816 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005686433793663688 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 9.59 | | std | 6.19 | | cv | 0.645 | | sampleLengths | | 0 | 14 | | 1 | 7 | | 2 | 28 | | 3 | 19 | | 4 | 9 | | 5 | 20 | | 6 | 20 | | 7 | 6 | | 8 | 21 | | 9 | 10 | | 10 | 6 | | 11 | 12 | | 12 | 15 | | 13 | 13 | | 14 | 2 | | 15 | 6 | | 16 | 2 | | 17 | 20 | | 18 | 21 | | 19 | 1 | | 20 | 1 | | 21 | 2 | | 22 | 2 | | 23 | 10 | | 24 | 2 | | 25 | 11 | | 26 | 15 | | 27 | 13 | | 28 | 5 | | 29 | 14 | | 30 | 4 | | 31 | 13 | | 32 | 8 | | 33 | 2 | | 34 | 6 | | 35 | 6 | | 36 | 14 | | 37 | 14 | | 38 | 8 | | 39 | 17 | | 40 | 3 | | 41 | 6 | | 42 | 13 | | 43 | 14 | | 44 | 5 | | 45 | 38 | | 46 | 2 | | 47 | 5 | | 48 | 14 | | 49 | 9 |
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| 48.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3515625 | | totalSentences | 128 | | uniqueOpeners | 45 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 113 | | matches | | 0 | "Then the whisper again, nearer," | | 1 | "Maybe it was paranoia." | | 2 | "Maybe she’d knelt on a" | | 3 | "Then laughter, high and wet," | | 4 | "Somewhere a fox cried once," | | 5 | "Then a sound like paper" |
| | ratio | 0.053 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 113 | | matches | | 0 | "She shouldered her delivery backpack," | | 1 | "She spun, knees bent, arms" | | 2 | "It wasn’t Eva’s nasal Cardiff" | | 3 | "It flared once more when" | | 4 | "It came from everywhere." | | 5 | "She forced herself to breathe," | | 6 | "Its skin was the colour" | | 7 | "Its mouth was a lipless" | | 8 | "Her lungs ignited." | | 9 | "She’d taken delivery rounds up" | | 10 | "Her boot caught a root." | | 11 | "She hit the loam face-first." | | 12 | "Its form flickered, melted between" | | 13 | "She panted, ribs scalding." | | 14 | "She whipped round." | | 15 | "She hadn’t come for answers." | | 16 | "She’d come because the pendant" | | 17 | "Her left wrist bled in" | | 18 | "They came from inside the" | | 19 | "Her foot crossed the threshold." |
| | ratio | 0.195 | |
| 39.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 113 | | matches | | 0 | "The black cab’s engine coughed" | | 1 | "Rory killed the lights before" | | 2 | "The scars on her wrists" | | 3 | "That was why she’d finally" | | 4 | "That, and the dreams—velvety things" | | 5 | "She shouldered her delivery backpack," | | 6 | "Clouds had eaten the moon" | | 7 | "The glow of Wandsworth’s sodium" | | 8 | "Richmond Park sprawled ahead, a" | | 9 | "The Heathrow flight path hummed" | | 10 | "Rory’s boots hit the gravel" | | 11 | "A voice called from the" | | 12 | "She spun, knees bent, arms" | | 13 | "The voice had come from" | | 14 | "It wasn’t Eva’s nasal Cardiff" | | 15 | "The pendant beneath her shirt" | | 16 | "The pulse ran wicked fast—once," | | 17 | "The thing pulsed like it" | | 18 | "Rory exhaled through her teeth." | | 19 | "Consequence of quitting the pills:" |
| | ratio | 0.841 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 113 | | matches | (empty) | | ratio | 0 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 4 | | matches | | 0 | "That, and the dreams—velvety things that unspooled when she closed her eyes: a crimson pendant pulsing like a second heart." | | 1 | "It wasn’t Eva’s nasal Cardiff lilt, wasn’t the cockney whine of the bar regulars who thought her name was Rory Lee." | | 2 | "Then laughter, high and wet, like a child who’d discovered a new game." | | 3 | "Its mouth was a lipless gash full of needle teeth that clicked like castanets." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Rory whispered (whisper)" |
| | dialogueSentences | 7 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 1 | | effectiveRatio | 0.286 | |