| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.533 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 933 | | 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) | |
| 46.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 933 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "perfect" | | 1 | "footsteps" | | 2 | "echoed" | | 3 | "glinting" | | 4 | "scanning" | | 5 | "determined" | | 6 | "unreadable" | | 7 | "hulking" | | 8 | "stomach" | | 9 | "pulsed" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "The air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 922 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 46.21% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 819 | | uniqueNames | 16 | | maxNameDensity | 2.08 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 17 | | Raven | 1 | | Nest | 1 | | Glock | 1 | | Tube | 1 | | Camden | 1 | | Town | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 1 | | Spanish | 1 | | Veil | 1 | | Market | 1 | | Tomás | 5 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Herrera" | | 6 | "Market" | | 7 | "Tomás" |
| | places | | | globalScore | 0.462 | | windowScore | 0.5 | |
| 59.09% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like blood" | | 1 | "sounded like a tomb sealing shut" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 922 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 99.86% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 38.42 | | std | 19.19 | | cv | 0.5 | | sampleLengths | | 0 | 65 | | 1 | 47 | | 2 | 67 | | 3 | 56 | | 4 | 51 | | 5 | 50 | | 6 | 49 | | 7 | 23 | | 8 | 39 | | 9 | 14 | | 10 | 13 | | 11 | 22 | | 12 | 19 | | 13 | 56 | | 14 | 23 | | 15 | 21 | | 16 | 48 | | 17 | 39 | | 18 | 77 | | 19 | 48 | | 20 | 43 | | 21 | 8 | | 22 | 36 | | 23 | 8 |
| |
| 95.24% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 70 | | matches | | 0 | "were cracked" | | 1 | "were obscured" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 141 | | matches | | 0 | "was chasing" | | 1 | "was already disappearing" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 77 | | ratio | 0.117 | | matches | | 0 | "\"Met Police! Stop!\" she shouted, but the figure—just a silhouette in a dark hood—darted down an alleyway." | | 1 | "The smell of damp garbage and something sharper—ozone?—filled the narrow space." | | 2 | "Her military training kicked in—the precise calculation of distance, the perfect tuck and roll on landing." | | 3 | "The building stank of mildew and something else—incense?" | | 4 | "The platform was empty except for a single figure standing beneath a flickering gas lamp—a man with olive skin and a Saint Christopher medallion glinting at his throat." | | 5 | "Quinn pulled out her phone, but the flashlight only illuminated a few feet ahead—just enough to see the symbols painted on the walls in what looked like blood." | | 6 | "The Veil Market sprawled before her—a nightmare bazaar lit by floating lanterns that cast shifting shadows." | | 7 | "Then she saw it—the hooded figure slipping into a tent at the far end of the platform." | | 8 | "The hooded figure turned, and Quinn finally saw its face—pale, elongated, with eyes that reflected the light like a cat's." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 833 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.027611044417767107 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009603841536614645 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 11.97 | | std | 7.03 | | cv | 0.587 | | sampleLengths | | 0 | 15 | | 1 | 21 | | 2 | 29 | | 3 | 17 | | 4 | 18 | | 5 | 2 | | 6 | 10 | | 7 | 13 | | 8 | 11 | | 9 | 12 | | 10 | 22 | | 11 | 9 | | 12 | 16 | | 13 | 10 | | 14 | 16 | | 15 | 14 | | 16 | 16 | | 17 | 20 | | 18 | 8 | | 19 | 7 | | 20 | 19 | | 21 | 18 | | 22 | 13 | | 23 | 5 | | 24 | 5 | | 25 | 9 | | 26 | 28 | | 27 | 2 | | 28 | 13 | | 29 | 10 | | 30 | 8 | | 31 | 19 | | 32 | 2 | | 33 | 10 | | 34 | 4 | | 35 | 10 | | 36 | 4 | | 37 | 9 | | 38 | 4 | | 39 | 18 | | 40 | 6 | | 41 | 7 | | 42 | 6 | | 43 | 5 | | 44 | 35 | | 45 | 16 | | 46 | 10 | | 47 | 8 | | 48 | 5 | | 49 | 5 |
| |
| 62.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4155844155844156 | | totalSentences | 77 | | uniqueOpeners | 32 | |
| 52.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 64 | | matches | | 0 | "Then she saw it—the hooded" |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 64 | | matches | | 0 | "she shouted, but the figure—just" | | 1 | "She followed into the alley," | | 2 | "Her quarry vaulted over a" | | 3 | "Her military training kicked in—the" | | 4 | "She came up with her" | | 5 | "she called out, but the" | | 6 | "She moved forward, her service" | | 7 | "he said, his Spanish accent" | | 8 | "His left hand hovered near" | | 9 | "He reached into his pocket" | | 10 | "It was warm in her" | | 11 | "He turned and melted into" | | 12 | "Their faces were obscured by" | | 13 | "She moved through the crowd," | | 14 | "She followed, pushing aside the" | | 15 | "She was in their world" |
| | ratio | 0.25 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 64 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn sprinted after" | | 2 | "The green glow of The" | | 3 | "she shouted, but the figure—just" | | 4 | "Quinn's hand went to her" | | 5 | "She followed into the alley," | | 6 | "The smell of damp garbage" | | 7 | "Her quarry vaulted over a" | | 8 | "Quinn gritted her teeth and" | | 9 | "The cold rain stung her" | | 10 | "Quinn hesitated only a second" | | 11 | "Her military training kicked in—the" | | 12 | "She came up with her" | | 13 | "she called out, but the" | | 14 | "Quinn followed at a careful" | | 15 | "The building stank of mildew" | | 16 | "The hair on her arms" | | 17 | "The tiled walls were cracked" | | 18 | "The air was thick with" | | 19 | "Quinn slowed her breathing, listening." |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 2 | | matches | | 0 | "Detective Harlow Quinn sprinted after the shadowy figure, her boots splashing through oily puddles that reflected the garish neon signs overhead." | | 1 | "Stalls lined the abandoned tracks, selling things that made Quinn's stomach turn: jars of glowing liquid, twisted roots that pulsed like hearts, books bound in …" |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "she called out, but the figure was already disappearing through a rooftop access door" | | 1 | "he said, his Spanish accent thicker than usual" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 5 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "she called out (call out)" | | 2 | "Quinn demanded (demand)" | | 3 | "Tomás interrupted (interrupt)" | | 4 | "it hissed (hiss)" |
| | dialogueSentences | 15 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.833 | | effectiveRatio | 0.667 | |