| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.069 | | leniency | 0.138 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1800 | | totalAiIsmAdverbs | 3 | | 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) | |
| 50.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1800 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "shattered" | | 1 | "standard" | | 2 | "echoed" | | 3 | "maw" | | 4 | "silence" | | 5 | "rhythmic" | | 6 | "throb" | | 7 | "vibrated" | | 8 | "constructed" | | 9 | "weight" | | 10 | "depths" | | 11 | "dancing" | | 12 | "etched" | | 13 | "echoing" | | 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 | 1 | | narrationSentences | 127 | | matches | | |
| 41.62% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 7 | | narrationSentences | 127 | | filterMatches | | | hedgeMatches | | 0 | "began to" | | 1 | "seemed to" | | 2 | "tried to" | | 3 | "begin to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 154 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1784 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 1503 | | uniqueNames | 15 | | maxNameDensity | 1.4 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 21 | | Camden | 1 | | Finch | 15 | | Tube | 1 | | Underground | 1 | | Blitz | 1 | | Veil | 2 | | Market | 2 | | Saint | 1 | | Christopher | 1 | | Morris | 1 | | Black | 1 | | Shuck | 3 | | London | 1 | | Tomás | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Finch" | | 2 | "Market" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Morris" | | 6 | "Shuck" | | 7 | "Tomás" |
| | places | | | globalScore | 0.801 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 98 | | glossingSentenceCount | 6 | | matches | | 0 | "sounded like a heartbeat, or perhaps a mas" | | 1 | "furs that seemed to still be twitching whispered to a bird with three eyes" | | 2 | "looked like a cross between a man and a l" | | 3 | "ones that seemed to be stretching and lengthening of their own accord" | | 4 | "felt like hammer strikes against her wr" | | 5 | "sounded like a tomb closing" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.561 | | wordCount | 1784 | | matches | | 0 | "not at the hound, but at a cluster of exposed, humming power cables she’d spotted" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 154 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 75 | | mean | 23.79 | | std | 17.21 | | cv | 0.724 | | sampleLengths | | 0 | 30 | | 1 | 2 | | 2 | 65 | | 3 | 62 | | 4 | 11 | | 5 | 35 | | 6 | 2 | | 7 | 66 | | 8 | 45 | | 9 | 6 | | 10 | 64 | | 11 | 42 | | 12 | 49 | | 13 | 5 | | 14 | 34 | | 15 | 10 | | 16 | 52 | | 17 | 13 | | 18 | 56 | | 19 | 48 | | 20 | 1 | | 21 | 31 | | 22 | 9 | | 23 | 7 | | 24 | 20 | | 25 | 23 | | 26 | 23 | | 27 | 23 | | 28 | 16 | | 29 | 9 | | 30 | 24 | | 31 | 7 | | 32 | 13 | | 33 | 46 | | 34 | 24 | | 35 | 8 | | 36 | 40 | | 37 | 13 | | 38 | 4 | | 39 | 11 | | 40 | 27 | | 41 | 4 | | 42 | 9 | | 43 | 42 | | 44 | 3 | | 45 | 37 | | 46 | 24 | | 47 | 13 | | 48 | 17 | | 49 | 34 |
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| 94.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 127 | | matches | | 0 | "were rusted" | | 1 | "been touched" | | 2 | "were draped" | | 3 | "been mentioned" | | 4 | "was thrown" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 248 | | matches | | 0 | "was chasing" | | 1 | "was darting" | | 2 | "was tending" |
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| 12.99% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 154 | | ratio | 0.045 | | matches | | 0 | "The man she was chasing—a thin, twitching informant known only as Finch—turned a sharp corner toward the mouth of an abandoned Tube station." | | 1 | "The smell of rain and wet rubbish vanished, replaced by the cloying, sweet scent of incense, scorched ozone, and something deeper—the metallic tang of old blood." | | 2 | "It was a riot of flickering lanterns and neon signs that glowed in impossible colours—violet, deep ochre, and a shimmering, oily black." | | 3 | "The vaulted ceilings of the station were draped in tattered silks, and the tracks—long stripped of their electrified rails—were now a bustling thoroughfare of stalls constructed from dragon bone and reclaimed driftwood." | | 4 | "The moment her skin touched the metal, a scream erupted in her mind—a thousand voices crying out in a language of salt and stars." | | 5 | "She threw the box—not at the hound, but at a cluster of exposed, humming power cables she’d spotted hanging from the ceiling." | | 6 | "A scream echoed from the deep—a human scream, one she hadn't heard in three years." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1518 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.021080368906455864 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.007246376811594203 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 154 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 154 | | mean | 11.58 | | std | 6.78 | | cv | 0.585 | | sampleLengths | | 0 | 16 | | 1 | 14 | | 2 | 2 | | 3 | 5 | | 4 | 20 | | 5 | 14 | | 6 | 6 | | 7 | 20 | | 8 | 23 | | 9 | 6 | | 10 | 20 | | 11 | 13 | | 12 | 4 | | 13 | 7 | | 14 | 20 | | 15 | 15 | | 16 | 2 | | 17 | 11 | | 18 | 24 | | 19 | 5 | | 20 | 26 | | 21 | 13 | | 22 | 6 | | 23 | 11 | | 24 | 15 | | 25 | 6 | | 26 | 5 | | 27 | 22 | | 28 | 5 | | 29 | 32 | | 30 | 6 | | 31 | 18 | | 32 | 18 | | 33 | 15 | | 34 | 9 | | 35 | 1 | | 36 | 24 | | 37 | 5 | | 38 | 19 | | 39 | 15 | | 40 | 10 | | 41 | 11 | | 42 | 3 | | 43 | 14 | | 44 | 3 | | 45 | 21 | | 46 | 10 | | 47 | 3 | | 48 | 9 | | 49 | 8 |
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| 37.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.2792207792207792 | | totalSentences | 154 | | uniqueOpeners | 43 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 123 | | matches | (empty) | | ratio | 0 | |
| 73.66% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 123 | | matches | | 0 | "He vaulted over a display" | | 1 | "She didn't reach for her" | | 2 | "She saw the flash of" | | 3 | "She reached the gate just" | | 4 | "She wedged her heavy duty" | | 5 | "It sounded like a heartbeat," | | 6 | "It was a riot of" | | 7 | "She looked for the flash" | | 8 | "He was darting past a" | | 9 | "It didn't speak, but the" | | 10 | "She reached into her pocket" | | 11 | "She’d confiscated it from a" | | 12 | "It stepped aside." | | 13 | "She passed a stall where" | | 14 | "He didn't drop the needle," | | 15 | "She broke into a jog," | | 16 | "She saw Finch." | | 17 | "He was fifty yards ahead," | | 18 | "He stumbled, falling hard against" | | 19 | "He looked terrified, but not" |
| | ratio | 0.366 | |
| 4.72% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 112 | | totalSentences | 123 | | matches | | 0 | "The heavy glass jar of" | | 1 | "Vinegar and brine sprayed her" | | 2 | "The suspect didn't even flinch." | | 3 | "He vaulted over a display" | | 4 | "Harlow wiped the fluid from" | | 5 | "She didn't reach for her" | | 6 | "The man she was chasing—a" | | 7 | "This wasn't a standard Underground" | | 8 | "The iron gates were rusted" | | 9 | "A dull click echoed." | | 10 | "The chains slithered away like" | | 11 | "Harlow skidded around the corner," | | 12 | "She saw the flash of" | | 13 | "She reached the gate just" | | 14 | "She wedged her heavy duty" | | 15 | "The air inside changed instantly." | | 16 | "The smell of rain and" | | 17 | "The stairs were steep, descending" | | 18 | "A low, rhythmic throb vibrated" | | 19 | "It sounded like a heartbeat," |
| | ratio | 0.911 | |
| 40.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 123 | | matches | | 0 | "Yet, as Finch approached, he" |
| | ratio | 0.008 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 78 | | technicalSentenceCount | 6 | | matches | | 0 | "The stairs were steep, descending into a darkness that swallowed her torch beam." | | 1 | "He was darting past a stall draped in distinctive green neon, weaving through a crowd of entities that didn't leave shadows on the floor." | | 2 | "The clatter of wooden charms, the smell of roasting meat that smelled suspiciously like pork but wasn't, the heat of alchemical fires." | | 3 | "The man had short curly dark brown hair and olive skin that looked sallow under the artificial lanterns." | | 4 | "He kept glancing at the shadows behind him, the ones that seemed to be stretching and lengthening of their own accord." | | 5 | "It was a man in a well-tailored suit that looked entirely too clean for the London underground." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "Harlow held, her voice steady despite the sweat stinging her eyes" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.034 | | leniency | 0.069 | | rawRatio | 0 | | effectiveRatio | 0 | |