| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 44 | | tagDensity | 0.409 | | leniency | 0.818 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1423 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 43.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1423 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "silence" | | 1 | "navigating" | | 2 | "familiar" | | 3 | "weight" | | 4 | "shimmered" | | 5 | "vibrated" | | 6 | "scanning" | | 7 | "flicker" | | 8 | "etched" | | 9 | "magnetic" | | 10 | "furrowing" | | 11 | "scanned" | | 12 | "glint" | | 13 | "resonance" | | 14 | "chill" | | 15 | "resolve" |
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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 | 75 | | matches | | 0 | "e with terror" | | 1 | "felt a chill" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 75 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1416 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 27.66% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 940 | | uniqueNames | 15 | | maxNameDensity | 2.45 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 1 | | Harlow | 23 | | Quinn | 1 | | October | 1 | | London | 1 | | Camden | 1 | | Veil | 3 | | Market | 1 | | Victorian | 1 | | Miller | 8 | | North | 1 | | Eva | 6 | | Morris | 1 | | Whitechapel | 1 | | Compass | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Miller" | | 4 | "Eva" | | 5 | "Morris" |
| | places | | | globalScore | 0.277 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like it had been blown from sand a" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.706 | | wordCount | 1416 | | matches | | 0 | "not touching the body, but hovering her hand an inch above the victim’s chest" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 34.54 | | std | 19.28 | | cv | 0.558 | | sampleLengths | | 0 | 57 | | 1 | 61 | | 2 | 65 | | 3 | 6 | | 4 | 87 | | 5 | 33 | | 6 | 44 | | 7 | 58 | | 8 | 27 | | 9 | 21 | | 10 | 11 | | 11 | 34 | | 12 | 23 | | 13 | 28 | | 14 | 66 | | 15 | 5 | | 16 | 2 | | 17 | 43 | | 18 | 56 | | 19 | 16 | | 20 | 28 | | 21 | 37 | | 22 | 28 | | 23 | 27 | | 24 | 30 | | 25 | 41 | | 26 | 15 | | 27 | 21 | | 28 | 51 | | 29 | 63 | | 30 | 42 | | 31 | 26 | | 32 | 40 | | 33 | 1 | | 34 | 22 | | 35 | 44 | | 36 | 51 | | 37 | 22 | | 38 | 36 | | 39 | 31 | | 40 | 17 |
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| 81.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 75 | | matches | | 0 | "was supposed" | | 1 | "being told" | | 2 | "been blown" | | 3 | "was etched" | | 4 | "was focused" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 171 | | matches | | 0 | "was standing" | | 1 | "was wearing" | | 2 | "wasn't pointing" | | 3 | "was spinning" | | 4 | "was crouching" | | 5 | "were pointing" | | 6 | "were defying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 101 | | ratio | 0.059 | | matches | | 0 | "The station was supposed to be abandoned, a ghost of the Victorian underground, but the evidence of life—and something far stranger than life—was everywhere." | | 1 | "He lacked the scar tissue that lived on Harlow’s psyche—the kind that came from losing a partner to a shadow and being told by the brass it was a gas leak." | | 2 | "There were shards of glass everywhere—deep green glass that looked like it had been blown from sand and emeralds." | | 3 | "It was a girl—hardly more than a student." | | 4 | "She immediately tucked a stray strand of hair behind her left ear—a nervous tic that spoke of chronic anxiety." | | 5 | "But then she realized the shadows cast by the stalls were pointing toward the center of the platform—directly toward the obsidian fountain." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 725 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.015172413793103448 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004137931034482759 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 14.02 | | std | 8.55 | | cv | 0.61 | | sampleLengths | | 0 | 16 | | 1 | 24 | | 2 | 17 | | 3 | 10 | | 4 | 4 | | 5 | 23 | | 6 | 24 | | 7 | 24 | | 8 | 26 | | 9 | 15 | | 10 | 6 | | 11 | 9 | | 12 | 27 | | 13 | 20 | | 14 | 31 | | 15 | 13 | | 16 | 8 | | 17 | 12 | | 18 | 12 | | 19 | 32 | | 20 | 4 | | 21 | 21 | | 22 | 13 | | 23 | 20 | | 24 | 11 | | 25 | 16 | | 26 | 17 | | 27 | 4 | | 28 | 11 | | 29 | 10 | | 30 | 19 | | 31 | 5 | | 32 | 16 | | 33 | 7 | | 34 | 15 | | 35 | 7 | | 36 | 6 | | 37 | 11 | | 38 | 9 | | 39 | 28 | | 40 | 5 | | 41 | 13 | | 42 | 5 | | 43 | 2 | | 44 | 17 | | 45 | 26 | | 46 | 9 | | 47 | 14 | | 48 | 11 | | 49 | 22 |
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| 53.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3564356435643564 | | totalSentences | 101 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 98.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 69 | | matches | | 0 | "It was an unnatural heat" | | 1 | "She stepped over a rusted" | | 2 | "She had spent the last" | | 3 | "He lacked the scar tissue" | | 4 | "She kept her eyes moving," | | 5 | "Her closely cropped salt-and-pepper hair" | | 6 | "They lay sprawled on the" | | 7 | "She knelt, her sharp jaw" | | 8 | "He was wearing heavy robes" | | 9 | "He stepped closer, peering over" | | 10 | "It was spinning in a" | | 11 | "She scanned the market again," | | 12 | "It was a girl—hardly more" | | 13 | "She looked up, her freckled" | | 14 | "She immediately tucked a stray" | | 15 | "Her green eyes were wide" | | 16 | "It was the same feeling" | | 17 | "She could see the girl" | | 18 | "She turned back to Eva," | | 19 | "She was focused on the" |
| | ratio | 0.304 | |
| 17.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 69 | | matches | | 0 | "The humidity of the derelict" | | 1 | "It was an unnatural heat" | | 2 | "She stepped over a rusted" | | 3 | "Harlow checked the worn leather" | | 4 | "She had spent the last" | | 5 | "The station was supposed to" | | 6 | "Stalls made of salvaged timber" | | 7 | "The air vibrated with a" | | 8 | "Harlow didn't need to turn" | | 9 | "DS Miller was standing near" | | 10 | "Miller was a good officer," | | 11 | "He lacked the scar tissue" | | 12 | "Harlow said, her voice a" | | 13 | "She kept her eyes moving," | | 14 | "Her closely cropped salt-and-pepper hair" | | 15 | "Miller said, gesturing toward the" | | 16 | "Harlow approached the bodies." | | 17 | "They lay sprawled on the" | | 18 | "She knelt, her sharp jaw" | | 19 | "He was wearing heavy robes" |
| | ratio | 0.884 | |
| 72.46% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 69 | | matches | | 0 | "Now, standing on the platform" |
| | ratio | 0.014 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 4 | | matches | | 0 | "The air vibrated with a low-frequency hum that made the fillings in Harlow’s teeth ache." | | 1 | "DS Miller was standing near a central fountain that shouldn’t have existed, carved from a single slab of obsidian that bled black water into a circular basin." | | 2 | "He was wearing heavy robes of reinforced leather, and tucked into his belt was a pouch that had spilled open." | | 3 | "She immediately tucked a stray strand of hair behind her left ear—a nervous tic that spoke of chronic anxiety." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 8 | | matches | | 0 | "Harlow said, her voice a low rasp" | | 1 | "Miller muttered, though his voice lacked conviction" | | 2 | "Harlow stood up, her brow furrowing" | | 3 | "Harlow shouted, her hand instinctively dropping to the holster at her hip" | | 4 | "the girl cried, her voice trembling" | | 5 | "Eva said, her voice gaining a sudden, sharp edge of authority" | | 6 | "Harlow asked, her voice softening" | | 7 | "Harlow said, her voice a low promise of retribution" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 8 | | fancyTags | | 0 | "Miller continued (continue)" | | 1 | "Miller muttered (mutter)" | | 2 | "Harlow whispered (whisper)" | | 3 | "Harlow shouted (shout)" | | 4 | "the girl cried (cry)" | | 5 | "Harlow corrected (correct)" | | 6 | "Eva whispered (whisper)" | | 7 | "Miller protested (protest)" |
| | dialogueSentences | 44 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.5 | | effectiveRatio | 0.364 | |