| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.344 | | leniency | 0.688 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1846 | | totalAiIsmAdverbs | 1 | | 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) | |
| 37.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1846 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | word | "mask of indifference" | | count | 1 |
| | 19 | | | 20 | |
| | highlights | | 0 | "rhythmic" | | 1 | "measured" | | 2 | "foreboding" | | 3 | "glint" | | 4 | "echoed" | | 5 | "facade" | | 6 | "mosaic" | | 7 | "vibrated" | | 8 | "gloom" | | 9 | "standard" | | 10 | "structure" | | 11 | "silence" | | 12 | "depths" | | 13 | "velvet" | | 14 | "constructed" | | 15 | "scanned" | | 16 | "silk" | | 17 | "navigate" | | 18 | "mask of indifference" | | 19 | "predator" | | 20 | "chaotic" |
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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 | 186 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 186 | | filterMatches | | | hedgeMatches | | 0 | "try to" | | 1 | "began to" | | 2 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 209 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1833 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1610 | | uniqueNames | 11 | | maxNameDensity | 1.3 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Quinn | 21 | | Herrera | 15 | | Saint | 2 | | Christopher | 2 | | Tube | 2 | | Morris | 2 | | Victorian | 1 | | Veil | 1 | | Market | 1 | | Camden | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Herrera" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Morris" | | 5 | "Market" |
| | places | | 0 | "London" | | 1 | "Tube" | | 2 | "Veil" | | 3 | "Camden" |
| | globalScore | 0.848 | | windowScore | 0.833 | |
| 84.21% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 114 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like nothing more than a crack in" | | 1 | "looked like moss, blocked the way forward" | | 2 | "looked like a man watching a ghost walk t" |
| |
| 90.89% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.091 | | wordCount | 1833 | | matches | | 0 | "Not the normal radio static, but a multi-tonal screeching, like a choir of birds dying at onc" | | 1 | "Not observing her with curiosity, but with hunger" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 209 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 85 | | mean | 21.56 | | std | 15.19 | | cv | 0.705 | | sampleLengths | | 0 | 44 | | 1 | 2 | | 2 | 53 | | 3 | 13 | | 4 | 2 | | 5 | 9 | | 6 | 50 | | 7 | 36 | | 8 | 28 | | 9 | 29 | | 10 | 40 | | 11 | 17 | | 12 | 3 | | 13 | 55 | | 14 | 7 | | 15 | 3 | | 16 | 44 | | 17 | 2 | | 18 | 24 | | 19 | 56 | | 20 | 5 | | 21 | 29 | | 22 | 1 | | 23 | 20 | | 24 | 12 | | 25 | 5 | | 26 | 12 | | 27 | 22 | | 28 | 27 | | 29 | 12 | | 30 | 49 | | 31 | 21 | | 32 | 47 | | 33 | 19 | | 34 | 15 | | 35 | 34 | | 36 | 4 | | 37 | 29 | | 38 | 3 | | 39 | 42 | | 40 | 15 | | 41 | 39 | | 42 | 5 | | 43 | 13 | | 44 | 25 | | 45 | 11 | | 46 | 38 | | 47 | 4 | | 48 | 8 | | 49 | 28 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 186 | | matches | | 0 | "was gone" | | 1 | "been transformed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 293 | | matches | | |
| 60.83% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 209 | | ratio | 0.029 | | matches | | 0 | "A glint of silver flashed at his neck—a Saint Christopher medallion swinging wildly outside his shirt." | | 1 | "Light bled from the edges—shifting hues of purple and sickly green." | | 2 | "He was speaking to a vendor—a hunched figure whose arms were too long for its torso." | | 3 | "A gun prompted panic; panic caused riots." | | 4 | "The noise of the market swirled around them—haggling in tongues she didn't recognize, the screech of metal, the roar of flame—but she pitched her voice so only he could hear." | | 5 | "The ambient noise rushed back in—a deafening roar." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 700 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.014285714285714285 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002857142857142857 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 209 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 209 | | mean | 8.77 | | std | 6.12 | | cv | 0.698 | | sampleLengths | | 0 | 22 | | 1 | 11 | | 2 | 11 | | 3 | 2 | | 4 | 15 | | 5 | 9 | | 6 | 4 | | 7 | 1 | | 8 | 1 | | 9 | 11 | | 10 | 6 | | 11 | 6 | | 12 | 13 | | 13 | 2 | | 14 | 9 | | 15 | 3 | | 16 | 7 | | 17 | 12 | | 18 | 16 | | 19 | 12 | | 20 | 3 | | 21 | 11 | | 22 | 22 | | 23 | 17 | | 24 | 11 | | 25 | 11 | | 26 | 13 | | 27 | 3 | | 28 | 2 | | 29 | 3 | | 30 | 9 | | 31 | 12 | | 32 | 16 | | 33 | 6 | | 34 | 8 | | 35 | 3 | | 36 | 3 | | 37 | 3 | | 38 | 16 | | 39 | 21 | | 40 | 15 | | 41 | 4 | | 42 | 2 | | 43 | 1 | | 44 | 3 | | 45 | 9 | | 46 | 4 | | 47 | 5 | | 48 | 20 | | 49 | 6 |
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| 40.83% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 23 | | diversityRatio | 0.31100478468899523 | | totalSentences | 209 | | uniqueOpeners | 65 | |
| 40.40% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 165 | | matches | | 0 | "Instead, he fumbled in his" | | 1 | "Then, sound began to bleed" |
| | ratio | 0.012 | |
| 55.15% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 68 | | totalSentences | 165 | | matches | | 0 | "Her focus narrowed to the" | | 1 | "He moved with a desperate," | | 2 | "His boots scrabbled for traction" | | 3 | "She didn't need to outsprint" | | 4 | "She just needed to outlast" | | 5 | "Her breath plumed in the" | | 6 | "He threw a glance over" | | 7 | "He clutched his chest, hand" | | 8 | "Her leather watch felt heavy" | | 9 | "She vaulted a discarded crate" | | 10 | "It was a jagged scar" | | 11 | "Her hand drifted to her" | | 12 | "Her voice echoed, bouncing off" | | 13 | "He didn't stop." | | 14 | "He pushed off the wall," | | 15 | "It was the shell of" | | 16 | "He didn't rattle it." | | 17 | "He didn't try to climb." | | 18 | "He produced a small, jagged" | | 19 | "He jammed the bone token" |
| | ratio | 0.412 | |
| 2.42% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 151 | | totalSentences | 165 | | matches | | 0 | "The rain lashed the pavement," | | 1 | "Harlow Quinn ignored the freezing" | | 2 | "Her focus narrowed to the" | | 3 | "He moved with a desperate," | | 4 | "His boots scrabbled for traction" | | 5 | "Quinn adjusted her pace." | | 6 | "Military precision hammered into her" | | 7 | "She didn't need to outsprint" | | 8 | "She just needed to outlast" | | 9 | "Her breath plumed in the" | | 10 | "The command tore from her" | | 11 | "Herrera didn't slow." | | 12 | "He threw a glance over" | | 13 | "The warm brown eyes, usually" | | 14 | "He clutched his chest, hand" | | 15 | "Quinn pushed harder." | | 16 | "Her leather watch felt heavy" | | 17 | "She vaulted a discarded crate" | | 18 | "Herrera took a sharp left," | | 19 | "It was a jagged scar" |
| | ratio | 0.915 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 165 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 66 | | technicalSentenceCount | 6 | | matches | | 0 | "He paused on the other side, looking back from the top of a spiral staircase that descended into suffocating blackness." | | 1 | "It smelled of sulfur, dried sage, and something coppery that reminded her of the crime scene where she’d found DS Morris three years ago." | | 2 | "The light cut through the gloom, illuminating crumbling tile work and ancient posters advertising products that ceased existing in the forties." | | 3 | "It fought her, heavy and resistant, as if the station itself denied her entry." | | 4 | "It sensed the violence coiled inside her, the predator's intent that had nothing to do with supernatural abilities and everything to do with a woman who had not…" | | 5 | "The metal slats were twisting, elongating, stretching away into a void that didn't lead to Camden." |
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| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 2 | | matches | | 0 | "he yelled, his chest heaving" | | 1 | "she announced, though the word felt small here" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "Quinn shouted (shout)" | | 1 | "he yelled (yell)" | | 2 | "she announced (announce)" | | 3 | "he whispered (whisper)" |
| | dialogueSentences | 32 | | tagDensity | 0.219 | | leniency | 0.438 | | rawRatio | 0.571 | | effectiveRatio | 0.25 | |