| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1575 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "reluctantly" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "very" | | 1 | "suddenly" | | 2 | "reluctantly" | | 3 | "truly" |
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| 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) | |
| 61.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1575 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "wavered" | | 1 | "efficient" | | 2 | "echoing" | | 3 | "whisper" | | 4 | "trembled" | | 5 | "silk" | | 6 | "velvet" | | 7 | "familiar" | | 8 | "stomach" | | 9 | "maw" |
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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 | 2 | | narrationSentences | 121 | | matches | | 0 | "was afraid" | | 1 | "felt the jolt" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 121 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1564 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1562 | | uniqueNames | 24 | | maxNameDensity | 0.58 | | worstName | "Herrera" | | maxWindowNameDensity | 1 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 8 | | Metropolitan | 1 | | Police | 1 | | Wardour | 1 | | Street | 1 | | Soho | 2 | | Herrera | 9 | | Raven | 2 | | Nest | 2 | | Morris | 6 | | Camden | 4 | | Saint | 1 | | Christopher | 1 | | Tottenham | 1 | | Court | 1 | | Road | 1 | | London | 1 | | Victorian | 1 | | Hendon | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Met | 1 | | Glock | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Police" | | 2 | "Herrera" | | 3 | "Raven" | | 4 | "Nest" | | 5 | "Morris" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Market" |
| | places | | 0 | "Wardour" | | 1 | "Street" | | 2 | "Soho" | | 3 | "Tottenham" | | 4 | "Court" | | 5 | "Road" | | 6 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 8.18% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.918 | | wordCount | 1564 | | matches | | 0 | "not just the streets but their hidden frequencies" | | 1 | "not with rails but with makeshift stalls" | | 2 | "not currency but whispered secrets" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 121 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 68 | | std | 46.17 | | cv | 0.679 | | sampleLengths | | 0 | 158 | | 1 | 109 | | 2 | 117 | | 3 | 76 | | 4 | 117 | | 5 | 7 | | 6 | 86 | | 7 | 92 | | 8 | 70 | | 9 | 96 | | 10 | 11 | | 11 | 12 | | 12 | 128 | | 13 | 40 | | 14 | 10 | | 15 | 128 | | 16 | 72 | | 17 | 11 | | 18 | 68 | | 19 | 95 | | 20 | 37 | | 21 | 15 | | 22 | 9 |
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| 99.46% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 121 | | matches | | 0 | "been oiled" | | 1 | "was cracked" |
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| 87.96% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 238 | | matches | | 0 | "was making" | | 1 | "was making" | | 2 | "was shedding" | | 3 | "was buying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 3 | | flaggedSentences | 11 | | totalSentences | 121 | | ratio | 0.091 | | matches | | 0 | "Tonight, he had slipped The Raven's Nest seconds before she could seal the rear exit—bolting the moment her surveillance went loud, a rabbit who had smelled the fox." | | 1 | "She had spent three nights studying that bar's rhythms—the old maps and black-and-white photographs crowding its walls, the secret back room behind a false bookshelf where the clique conducted its real business." | | 2 | "For an instant, under a streetlamp's sodium glare, she saw the pale ridge of the scar ribboning his left forearm—a memento from a knife attack in another life—and the flash of a Saint Christopher medallion bouncing against his olive skin." | | 3 | "\"Met Police!\" she shouted, though the warning was pure formality; they were past the point of civilized negotiation." | | 4 | "She knew this area—had canvassed it after Morris's death, in fact—but she had never seen the doorway he was making for." | | 5 | "A door stood recessed in the shadows—heavy steel, pocked with rust, conspicuous only in its absolute lack of signage." | | 6 | "She stood in an abandoned Tube station beneath Camden—tiled walls the color of old teeth, the track bed filled not with rails but with makeshift stalls and huddled figures." | | 7 | "The air stank of ozone and burning sage, and the light came from everywhere and nowhere: phosphorescent liquids bubbling in blown-glass vials; candles that burned with violet flames; bioluminescent moss cultivated in wire cages along the platform's edge." | | 8 | "Dozens of faces turned toward her—not all of them entirely human." | | 9 | "She kept the torch high, its beam sweeping across wares that defied physics—a compass that spun toward the beating of her own heart, a mirror that reflected the stall behind it rather than her face." | | 10 | "He lifted his left hand, the scarred forearm bare, and tapped two fingers against his sternum—an acknowledgment, a farewell." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1585 | | adjectiveStacks | 2 | | stackExamples | | 0 | "paramedic turned unlicensed ghost," | | 1 | "proving occupied different universes," |
| | adverbCount | 35 | | adverbRatio | 0.022082018927444796 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.006309148264984227 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 12.93 | | std | 9.72 | | cv | 0.752 | | sampleLengths | | 0 | 20 | | 1 | 18 | | 2 | 26 | | 3 | 16 | | 4 | 25 | | 5 | 2 | | 6 | 1 | | 7 | 22 | | 8 | 28 | | 9 | 19 | | 10 | 4 | | 11 | 20 | | 12 | 26 | | 13 | 8 | | 14 | 25 | | 15 | 5 | | 16 | 2 | | 17 | 14 | | 18 | 8 | | 19 | 32 | | 20 | 32 | | 21 | 5 | | 22 | 11 | | 23 | 15 | | 24 | 10 | | 25 | 40 | | 26 | 19 | | 27 | 3 | | 28 | 1 | | 29 | 3 | | 30 | 18 | | 31 | 27 | | 32 | 13 | | 33 | 22 | | 34 | 16 | | 35 | 21 | | 36 | 4 | | 37 | 2 | | 38 | 1 | | 39 | 3 | | 40 | 12 | | 41 | 1 | | 42 | 18 | | 43 | 14 | | 44 | 17 | | 45 | 21 | | 46 | 19 | | 47 | 19 | | 48 | 20 | | 49 | 2 |
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| 71.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.475 | | totalSentences | 120 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 99 | | matches | | 0 | "Then he was moving again," | | 1 | "Then he hooked a sharp" | | 2 | "Then he stepped backward into" |
| | ratio | 0.03 | |
| 62.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 99 | | matches | | 0 | "She kept her chin tucked" | | 1 | "She ignored the fire in" | | 2 | "Her stride never wavered." | | 3 | "She wore the years now" | | 4 | "She checked it without breaking" | | 5 | "She didn't believe in coincidences." | | 6 | "She had spent three nights" | | 7 | "She knew they were dirty." | | 8 | "She knew they traded in" | | 9 | "He vaulted a low railing," | | 10 | "He was afraid." | | 11 | "she shouted, though the warning" | | 12 | "Her voice cracked against the" | | 13 | "She felt the cold shock" | | 14 | "She gained on him." | | 15 | "He was making for the" | | 16 | "She knew this area—had canvassed" | | 17 | "He pressed it to a" | | 18 | "He slipped through." | | 19 | "She reached it three seconds" |
| | ratio | 0.394 | |
| 50.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 81 | | totalSentences | 99 | | matches | | 0 | "Harlow Quinn ran with the" | | 1 | "Rain drilled the pavement of" | | 2 | "She kept her chin tucked" | | 3 | "The suspect stayed thirty yards" | | 4 | "Tonight, he had slipped The" | | 5 | "She ignored the fire in" | | 6 | "Her stride never wavered." | | 7 | "Military precision, her old firearms" | | 8 | "She wore the years now" | | 9 | "She checked it without breaking" | | 10 | "She didn't believe in coincidences." | | 11 | "Herrera cut left, vanishing down" | | 12 | "Quinn followed, her shoes squeaking" | | 13 | "She had spent three nights" | | 14 | "She knew they were dirty." | | 15 | "She knew they traded in" | | 16 | "He vaulted a low railing," | | 17 | "He was afraid." | | 18 | "Fear made mistakes." | | 19 | "she shouted, though the warning" |
| | ratio | 0.818 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 52.31% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 71 | | technicalSentenceCount | 9 | | matches | | 0 | "The suspect stayed thirty yards ahead, moving with the fluid unpredictability of a man who had memorized not just the streets but their hidden frequencies." | | 1 | "Former NHS paramedic turned unlicensed ghost, a man who stitched up criminals in basement flats and evaporated before constables could finish knocking." | | 2 | "She ignored the fire in her thighs, the insistent ache behind her left knee that flared in bad weather." | | 3 | "Iron treads slick with condensation, the walls sweating black mold that smelled of copper and centuries." | | 4 | "And Herrera was shedding light on the same shadows that had swallowed Morris whole." | | 5 | "The air stank of ozone and burning sage, and the light came from everywhere and nowhere: phosphorescent liquids bubbling in blown-glass vials; candles that burn…" | | 6 | "On a mat of stained velvet, a woman with reflective, cat-slit eyes weighed a vial of something that moved against the glass with the blind insistence of an eel." | | 7 | "She kept the torch high, its beam sweeping across wares that defied physics—a compass that spun toward the beating of her own heart, a mirror that reflected the…" | | 8 | "The dark beyond the tunnel was total, a velvet nullity that devoured her torch beam." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "she shouted, though the warning was pure formality; they were past the point of civilized negotiation" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |