| 91.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said simply [simply]" | | 1 | "he said quietly [quietly]" |
| | dialogueSentences | 37 | | tagDensity | 0.405 | | leniency | 0.811 | | rawRatio | 0.133 | | effectiveRatio | 0.108 | |
| 91.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1153 | | 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) | |
| 26.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1153 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "silk" | | 1 | "echo" | | 2 | "glint" | | 3 | "jaw clenched" | | 4 | "pulsed" | | 5 | "shimmered" | | 6 | "standard" | | 7 | "silence" | | 8 | "flicker" | | 9 | "glinting" | | 10 | "flickered" | | 11 | "pulse" | | 12 | "quickened" | | 13 | "raced" | | 14 | "echoes" | | 15 | "whisper" | | 16 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 120 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 120 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 13 | | totalWords | 1137 | | ratio | 0.011 | | matches | | 0 | "This wasn’t on any police map." | | 1 | "they" | | 2 | "“It’s not underground, Harlow. It’s underneath.”" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 809 | | uniqueNames | 7 | | maxNameDensity | 0.87 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Tomás" | | discoveredNames | | Soho | 1 | | Quinn | 7 | | Morris | 2 | | Tube | 1 | | Spanish | 1 | | Christopher | 1 | | Tomás | 7 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Christopher" | | 3 | "Tomás" |
| | places | | | globalScore | 1 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 24.10% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.759 | | wordCount | 1137 | | matches | | 0 | "not for a weapon, but a small silver medallion on a chain" | | 1 | "not by bulbs, but by floating orbs of cold blue flame" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 141 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 18.64 | | std | 15.98 | | cv | 0.857 | | sampleLengths | | 0 | 82 | | 1 | 32 | | 2 | 68 | | 3 | 2 | | 4 | 44 | | 5 | 5 | | 6 | 38 | | 7 | 25 | | 8 | 6 | | 9 | 6 | | 10 | 41 | | 11 | 3 | | 12 | 28 | | 13 | 6 | | 14 | 21 | | 15 | 15 | | 16 | 4 | | 17 | 39 | | 18 | 13 | | 19 | 18 | | 20 | 9 | | 21 | 21 | | 22 | 16 | | 23 | 12 | | 24 | 9 | | 25 | 15 | | 26 | 15 | | 27 | 45 | | 28 | 4 | | 29 | 26 | | 30 | 9 | | 31 | 28 | | 32 | 26 | | 33 | 15 | | 34 | 42 | | 35 | 14 | | 36 | 8 | | 37 | 16 | | 38 | 3 | | 39 | 6 | | 40 | 16 | | 41 | 22 | | 42 | 21 | | 43 | 3 | | 44 | 40 | | 45 | 15 | | 46 | 8 | | 47 | 4 | | 48 | 15 | | 49 | 11 |
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| 99.42% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 120 | | matches | | 0 | "was gone" | | 1 | "being swallowed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 153 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 0 | | flaggedSentences | 16 | | totalSentences | 141 | | ratio | 0.113 | | matches | | 0 | "Harlow Quinn moved through it like a blade through silk—focused, relentless, her salt-and-pepper hair barely damp despite the downpour, held tight in its military-short crop." | | 1 | "Ahead, a shadow darted between two narrow alleyways—the glint of a silver chain caught the dim glow of a neon sign just long enough for her to see it." | | 2 | "The scent of stale beer and wet concrete mingled with something else—something sharp, almost bitter, like scorched copper." | | 3 | "It pulsed—subtly, like a heartbeat." | | 4 | "That some people didn’t just vanish—they stepped through." | | 5 | "Just a bloodstain on the pavement—and the smell of burnt feathers." | | 6 | "The door had no handle, no keyhole—just a series of engraved symbols worn nearly smooth by time." | | 7 | "But it was warm—unnaturally so." | | 8 | "But this—this was something else." | | 9 | "His voice was soft, accented—Spanish, maybe." | | 10 | "Something flickered in his eyes—recognition, maybe pity." | | 11 | "But the bone token thrummed in her palm, and the door groaned—just slightly—like something on the other side had turned." | | 12 | "Tomás reached into his coat—not for a weapon, but a small silver medallion on a chain." | | 13 | "It shuddered beneath her, the symbols glowing faintly now—blue, then red, then black." | | 14 | "Her mind flashed—Morris’s last call." | | 15 | "The air that rushed up was thick with the scent of myrrh and rotting parchment, and beneath it—blood." |
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| 94.13% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 835 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.046706586826347304 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.013173652694610778 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 8.06 | | std | 6.75 | | cv | 0.837 | | sampleLengths | | 0 | 24 | | 1 | 25 | | 2 | 28 | | 3 | 5 | | 4 | 29 | | 5 | 3 | | 6 | 3 | | 7 | 12 | | 8 | 8 | | 9 | 5 | | 10 | 22 | | 11 | 18 | | 12 | 2 | | 13 | 19 | | 14 | 6 | | 15 | 5 | | 16 | 14 | | 17 | 5 | | 18 | 12 | | 19 | 2 | | 20 | 2 | | 21 | 14 | | 22 | 8 | | 23 | 6 | | 24 | 2 | | 25 | 2 | | 26 | 2 | | 27 | 2 | | 28 | 11 | | 29 | 2 | | 30 | 4 | | 31 | 6 | | 32 | 8 | | 33 | 17 | | 34 | 16 | | 35 | 3 | | 36 | 7 | | 37 | 1 | | 38 | 1 | | 39 | 3 | | 40 | 5 | | 41 | 11 | | 42 | 6 | | 43 | 4 | | 44 | 8 | | 45 | 5 | | 46 | 4 | | 47 | 7 | | 48 | 4 | | 49 | 4 |
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| 56.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.36879432624113473 | | totalSentences | 141 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 86 | | matches | | 0 | "Then it vanished." | | 1 | "Just a bloodstain on the" | | 2 | "Then a whisper:" | | 3 | "Then at Tomás." | | 4 | "Then extended his hand." |
| | ratio | 0.058 | |
| 66.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 86 | | matches | | 0 | "She was closing the gap." | | 1 | "She veered left, her sharp" | | 2 | "She knew the streets, every" | | 3 | "It pulsed—subtly, like a heartbeat." | | 4 | "Her partner, Morris, had screamed" | | 5 | "She edged forward, heart drumming" | | 6 | "She crouched, glove-covered fingers plucking" | | 7 | "She knew the underground." | | 8 | "She spun, gun raised." | | 9 | "He wore a long, oilskin" | | 10 | "She didn’t recognize him, but" | | 11 | "His voice was soft, accented—Spanish," | | 12 | "she ordered, finger tightening on" | | 13 | "He didn’t move." | | 14 | "He tilted his head." | | 15 | "She narrowed her eyes." | | 16 | "She didn’t lower the gun." | | 17 | "He glanced at the token" | | 18 | "He stepped forward slowly, hands" | | 19 | "She didn’t believe him." |
| | ratio | 0.384 | |
| 99.53% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 86 | | matches | | 0 | "Rain fell in relentless sheets," | | 1 | "Harlow Quinn moved through it" | | 2 | "The worn leather of her" | | 3 | "She was closing the gap." | | 4 | "Quinn didn’t hesitate." | | 5 | "She veered left, her sharp" | | 6 | "She knew the streets, every" | | 7 | "The alley narrowed, the walls" | | 8 | "The scent of stale beer" | | 9 | "It pulsed—subtly, like a heartbeat." | | 10 | "The air above it shimmered," | | 11 | "Quinn pressed her back against" | | 12 | "That some people didn’t just" | | 13 | "Her partner, Morris, had screamed" | | 14 | "Something scraped behind the iron" | | 15 | "She edged forward, heart drumming" | | 16 | "The door had no handle," | | 17 | "A bone token." | | 18 | "She crouched, glove-covered fingers plucking" | | 19 | "*This wasn’t on any police" |
| | ratio | 0.721 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 3 | | matches | | 0 | "The alley narrowed, the walls closing in like jaws, trash bags split open and spilling dark pulp that clung to her soles." | | 1 | "The air above it shimmered, distorted, as if heat rose from the pavement beneath." | | 2 | "The air that rushed up was thick with the scent of myrrh and rotting parchment, and beneath it—blood." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "she ordered, finger tightening on the trigger" |
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| 68.92% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 3 | | fancyTags | | 0 | "she ordered (order)" | | 1 | "Quinn snapped (snap)" | | 2 | "Tomás admitted (admit)" |
| | dialogueSentences | 37 | | tagDensity | 0.378 | | leniency | 0.757 | | rawRatio | 0.214 | | effectiveRatio | 0.162 | |