| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 30 | | adverbTagCount | 3 | | adverbTags | | 0 | "Quinn said coldly [coldly]" | | 1 | "Eva asked softly [softly]" | | 2 | "Eva said softly [softly]" |
| | dialogueSentences | 67 | | tagDensity | 0.448 | | leniency | 0.896 | | rawRatio | 0.1 | | effectiveRatio | 0.09 | |
| 80.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1502 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "coldly" | | 2 | "softly" | | 3 | "suddenly" |
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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) | |
| 46.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1502 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "pumping" | | 1 | "gloom" | | 2 | "churn" | | 3 | "scanned" | | 4 | "intensity" | | 5 | "velvet" | | 6 | "etched" | | 7 | "intricate" | | 8 | "flickered" | | 9 | "unspoken" | | 10 | "rhythmic" | | 11 | "porcelain" | | 12 | "echoing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 87 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1499 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 988 | | uniqueNames | 11 | | maxNameDensity | 2.33 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 23 | | Miller | 9 | | Camden | 1 | | Underground | 1 | | Blitz | 1 | | Kowalski | 1 | | Eva | 13 | | Service | 1 | | Glock | 1 | | Victorian | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Kowalski" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0.336 | | windowScore | 0.167 | |
| 75.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 2 | | matches | | 0 | "smelled like a blown transformer, yet the" | | 1 | "sounded like two dry stones grinding toget" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.667 | | wordCount | 1499 | | matches | | 0 | "not with concrete, but with rib-like arches of blackened iron, glowing with a faint" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 124 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 24.98 | | std | 16.35 | | cv | 0.655 | | sampleLengths | | 0 | 12 | | 1 | 38 | | 2 | 36 | | 3 | 23 | | 4 | 43 | | 5 | 17 | | 6 | 34 | | 7 | 2 | | 8 | 48 | | 9 | 64 | | 10 | 13 | | 11 | 2 | | 12 | 60 | | 13 | 20 | | 14 | 45 | | 15 | 12 | | 16 | 18 | | 17 | 6 | | 18 | 17 | | 19 | 10 | | 20 | 64 | | 21 | 10 | | 22 | 26 | | 23 | 24 | | 24 | 33 | | 25 | 14 | | 26 | 43 | | 27 | 29 | | 28 | 43 | | 29 | 19 | | 30 | 6 | | 31 | 38 | | 32 | 25 | | 33 | 11 | | 34 | 22 | | 35 | 9 | | 36 | 18 | | 37 | 40 | | 38 | 4 | | 39 | 5 | | 40 | 43 | | 41 | 7 | | 42 | 58 | | 43 | 21 | | 44 | 26 | | 45 | 18 | | 46 | 34 | | 47 | 5 | | 48 | 5 | | 49 | 49 |
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| 97.20% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 87 | | matches | | 0 | "was swallowed" | | 1 | "was lined" |
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| 5.07% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 171 | | matches | | 0 | "were standing" | | 1 | "wasn't floating" | | 2 | "was vibrating" | | 3 | "was already disappearing" | | 4 | "was deafening" |
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| 27.65% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 2 | | flaggedSentences | 5 | | totalSentences | 124 | | ratio | 0.04 | | matches | | 0 | "It twitched, spinning violently in full circles before snapping violently toward the back wall of the pumping station—a solid bulkhead ofVictorian engineering covered in black rot." | | 1 | "Her military precision kicked in; her posture stiffened, her sharp jaw setting into a hard line." | | 2 | "The radio on Miller's shoulder burst into static—a loud, rhythmic crunching sound like heavy boots stepping on dry bones." | | 3 | "The back wall didn't crumble; it dissolved." | | 4 | "Voices drifted out from the darkness—a chorus of high-pitched bartering, harsh laughs, and the clatter of wooden tokens on tin tables." |
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| 99.92% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 995 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.02814070351758794 | | lyAdverbCount | 20 | | lyAdverbRatio | 0.020100502512562814 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 12.09 | | std | 6.97 | | cv | 0.577 | | sampleLengths | | 0 | 12 | | 1 | 15 | | 2 | 23 | | 3 | 14 | | 4 | 22 | | 5 | 19 | | 6 | 4 | | 7 | 25 | | 8 | 18 | | 9 | 7 | | 10 | 10 | | 11 | 16 | | 12 | 18 | | 13 | 2 | | 14 | 19 | | 15 | 29 | | 16 | 11 | | 17 | 9 | | 18 | 11 | | 19 | 18 | | 20 | 15 | | 21 | 13 | | 22 | 2 | | 23 | 15 | | 24 | 23 | | 25 | 11 | | 26 | 11 | | 27 | 11 | | 28 | 9 | | 29 | 19 | | 30 | 18 | | 31 | 8 | | 32 | 6 | | 33 | 6 | | 34 | 7 | | 35 | 11 | | 36 | 6 | | 37 | 3 | | 38 | 14 | | 39 | 8 | | 40 | 2 | | 41 | 12 | | 42 | 17 | | 43 | 26 | | 44 | 9 | | 45 | 7 | | 46 | 3 | | 47 | 5 | | 48 | 21 | | 49 | 24 |
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| 61.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4112903225806452 | | totalSentences | 124 | | uniqueOpeners | 51 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 79 | | matches | | 0 | "She wiped her gloved fingers" | | 1 | "They were standing deep within" | | 2 | "She turned away from the" | | 3 | "It smelled like a blown" | | 4 | "She clutched a worn leather" | | 5 | "Her green eyes darted past" | | 6 | "She tucked a rogue spiral" | | 7 | "She kept her distance from" | | 8 | "She reached into her bag" | | 9 | "It twitched, spinning violently in" | | 10 | "Her military precision kicked in;" | | 11 | "She picked up the compass," | | 12 | "It was vibrating so rapidly" | | 13 | "She pulled her Service Glock" | | 14 | "It was lined not with" | | 15 | "she whispered, checking her wrist" | | 16 | "It wore a heavy coat" | | 17 | "It sounded like two dry" | | 18 | "He bolted for the stairs," | | 19 | "It simply tilted its head" |
| | ratio | 0.266 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 79 | | matches | | 0 | "The jagged piece of copper" | | 1 | "Detective Harlow Quinn straightened up," | | 2 | "She wiped her gloved fingers" | | 3 | "PC Miller said, hovering near" | | 4 | "Quinn adjusted her worn leather" | | 5 | "They were standing deep within" | | 6 | "Miller stepped closer, squinting through" | | 7 | "Quinn corrected, using a pencil" | | 8 | "Quinn tapped the brass tip" | | 9 | "She turned away from the" | | 10 | "The crime scene was a" | | 11 | "London Underground blueprints from 1924" | | 12 | "A faint, ozone stench hung" | | 13 | "It smelled like a blown" | | 14 | "A heavy iron door at" | | 15 | "Eva Kowalski stepped over the" | | 16 | "She clutched a worn leather" | | 17 | "Her green eyes darted past" | | 18 | "She tucked a rogue spiral" | | 19 | "Quinn said, her voice dropping" |
| | ratio | 0.962 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 84.94% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 3 | | matches | | 0 | "The casing bore a thick patina of verdigris, its surface etched with tiny, intricate symbols that looked less like navigational marks and more like interlocking…" | | 1 | "It was vibrating so rapidly it hummed, a high-pitched whine that rattled the teeth in Quinn's jaw." | | 2 | "Miller grabbed the handset, shouting into it, but his voice was swallowed by a sudden drop in air pressure that made everyone's ears pop." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 30 | | uselessAdditionCount | 5 | | matches | | 0 | "Quinn adjusted, the brass buckle catching the dim, flickering light overhead" | | 1 | "Quinn said, her voice dropping an octave" | | 2 | "Eva said, her breath hitching slightly as she approached the workbench" | | 3 | "Miller offered, eager to contribute" | | 4 | "Quinn shouted, but the constable was already disappearing up the spiral staircase toward the street" |
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| 30.60% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 21 | | fancyCount | 8 | | fancyTags | | 0 | "Quinn corrected (correct)" | | 1 | "Eva murmured (murmur)" | | 2 | "Eva whispered (whisper)" | | 3 | "Quinn snapped (snap)" | | 4 | "Quinn yelled (yell)" | | 5 | "she whispered (whisper)" | | 6 | "Quinn shouted (shout)" | | 7 | "seller murmured (murmur)" |
| | dialogueSentences | 67 | | tagDensity | 0.313 | | leniency | 0.627 | | rawRatio | 0.381 | | effectiveRatio | 0.239 | |