| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.059 | | leniency | 0.118 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1093 | | 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) | |
| 22.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1093 | | totalAiIsms | 17 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "down her spine" | | count | 1 |
| | 11 | | | 12 | |
| | highlights | | 0 | "flickered" | | 1 | "silence" | | 2 | "scanning" | | 3 | "footsteps" | | 4 | "echoed" | | 5 | "gloom" | | 6 | "pulse" | | 7 | "raced" | | 8 | "weight" | | 9 | "chill" | | 10 | "down her spine" | | 11 | "flicker" | | 12 | "stomach" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 121 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 121 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 136 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 5 | | totalWords | 1080 | | ratio | 0.005 | | matches | | 0 | "They knew she was coming." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 59.09% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 990 | | uniqueNames | 7 | | maxNameDensity | 1.82 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Quinn | 18 | | Raven | 1 | | Nest | 1 | | Empty | 1 | | Detective | 2 | | Black | 5 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Detective" | | 4 | "Black" |
| | places | | | globalScore | 0.591 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1080 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 136 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 20.77 | | std | 15.55 | | cv | 0.749 | | sampleLengths | | 0 | 80 | | 1 | 42 | | 2 | 3 | | 3 | 41 | | 4 | 5 | | 5 | 7 | | 6 | 38 | | 7 | 28 | | 8 | 1 | | 9 | 37 | | 10 | 22 | | 11 | 31 | | 12 | 48 | | 13 | 11 | | 14 | 28 | | 15 | 40 | | 16 | 5 | | 17 | 34 | | 18 | 2 | | 19 | 10 | | 20 | 33 | | 21 | 10 | | 22 | 9 | | 23 | 8 | | 24 | 17 | | 25 | 7 | | 26 | 23 | | 27 | 40 | | 28 | 8 | | 29 | 8 | | 30 | 9 | | 31 | 16 | | 32 | 14 | | 33 | 14 | | 34 | 15 | | 35 | 10 | | 36 | 4 | | 37 | 30 | | 38 | 9 | | 39 | 20 | | 40 | 5 | | 41 | 22 | | 42 | 38 | | 43 | 6 | | 44 | 29 | | 45 | 11 | | 46 | 21 | | 47 | 5 | | 48 | 32 | | 49 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 121 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 177 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 136 | | ratio | 0.088 | | matches | | 0 | "The suspect—some twitchy kid in a leather jacket—had bolted from the bar the moment her badge flashed." | | 1 | "Then—silence." | | 2 | "She cleared the rooftop in a crouch, gun raised—" | | 3 | "The beam faltered—batteries dying." | | 4 | "Further down, the tunnel branched—one path sloping downward into deeper gloom, another narrower passage leading deeper into the city’s guts." | | 5 | "Not the suspect—no, these were different." | | 6 | "\"—should’ve been dealt with by now,\" a man’s voice growled." | | 7 | "\"—Detective’s on our tail,\" another replied, smooth and mocking." | | 8 | "She stepped forward, torch glowing just enough to see the trio—her suspect, sandwiched between two men she didn’t recognize." | | 9 | "The tunnel split ahead—a narrow passage veering off sharply, the walls slick with something darker than water." | | 10 | "The torch dimmed again, its last gasps of light flickering over ancient graffiti—symbols Quinn didn’t recognize, carved deep into the brick." | | 11 | "The last flicker of light caught something—carvings near the gate." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1003 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.022931206380857428 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0029910269192422734 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 136 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 136 | | mean | 7.94 | | std | 5.25 | | cv | 0.661 | | sampleLengths | | 0 | 18 | | 1 | 18 | | 2 | 17 | | 3 | 3 | | 4 | 24 | | 5 | 16 | | 6 | 14 | | 7 | 12 | | 8 | 3 | | 9 | 14 | | 10 | 16 | | 11 | 10 | | 12 | 1 | | 13 | 4 | | 14 | 1 | | 15 | 7 | | 16 | 8 | | 17 | 17 | | 18 | 13 | | 19 | 8 | | 20 | 11 | | 21 | 9 | | 22 | 1 | | 23 | 4 | | 24 | 16 | | 25 | 7 | | 26 | 1 | | 27 | 9 | | 28 | 11 | | 29 | 8 | | 30 | 3 | | 31 | 5 | | 32 | 12 | | 33 | 2 | | 34 | 7 | | 35 | 5 | | 36 | 12 | | 37 | 13 | | 38 | 9 | | 39 | 4 | | 40 | 10 | | 41 | 3 | | 42 | 2 | | 43 | 1 | | 44 | 5 | | 45 | 8 | | 46 | 14 | | 47 | 6 | | 48 | 4 | | 49 | 16 |
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| 53.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.36764705882352944 | | totalSentences | 136 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 106 | | matches | | 0 | "Then the scraping of metal" | | 1 | "Just her and the dark." | | 2 | "Then she stepped inside." | | 3 | "Further down, the tunnel branched—one" |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 106 | | matches | | 0 | "She’d been trailing him for" | | 1 | "She tightened her grip on" | | 2 | "Her torch cut through the" | | 3 | "She could hear him breathing" | | 4 | "She slowed, ears straining." | | 5 | "She reached the ladder just" | | 6 | "She cleared the rooftop in" | | 7 | "She cursed under her breath," | | 8 | "He’d headed underground." | | 9 | "She swung her leg over" | | 10 | "She pulled out her torch" | | 11 | "She smacked the casing, and" | | 12 | "She took a breath, steeling" | | 13 | "She chose the downward slope." | | 14 | "Her breath misted in front" | | 15 | "She inched forward, the cold" | | 16 | "*They knew she was coming.*" | | 17 | "She could back out, call" | | 18 | "She stepped forward, torch glowing" | | 19 | "She shifted her weight, fingers" |
| | ratio | 0.217 | |
| 63.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 106 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Quinn kept her stride" | | 2 | "The suspect—some twitchy kid in" | | 3 | "She’d been trailing him for" | | 4 | "She tightened her grip on" | | 5 | "The Raven’s Nest’s green sign" | | 6 | "The kid ducked into an" | | 7 | "Quinn didn’t hesitate." | | 8 | "The alley reeked of stale" | | 9 | "Her torch cut through the" | | 10 | "She could hear him breathing" | | 11 | "She slowed, ears straining." | | 12 | "Quinn lunged forward, boots skidding" | | 13 | "A rusted fire escape groaned" | | 14 | "She reached the ladder just" | | 15 | "The rain hammered the tin" | | 16 | "She cleared the rooftop in" | | 17 | "The ledge overlooked a narrow" | | 18 | "Quinn moved to the edge," | | 19 | "A flash of leather disappearing" |
| | ratio | 0.792 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 1 | | matches | | 0 | "Detective Quinn kept her stride steady, boots splashing through puddles that reflected the chaos of the street above." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |