| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.526 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1258 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
| | 1 | |
| | highlights | | 0 | "barely above a whisper" | | 1 | "tightly" |
| |
| 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) | |
| 20.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1258 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "skipped a beat" | | count | 1 |
| | 11 | | | 12 | | | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "echoing" | | 1 | "fluttered" | | 2 | "stark" | | 3 | "reminder" | | 4 | "scanning" | | 5 | "stomach" | | 6 | "churned" | | 7 | "etched" | | 8 | "whisper" | | 9 | "racing" | | 10 | "skipped a beat" | | 11 | "determined" | | 12 | "peril" | | 13 | "tracing" | | 14 | "delving" | | 15 | "unravel" |
| |
| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 5 | | maxInWindow | 5 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 2 |
| | 2 | | label | "stomach dropped/sank" | | count | 1 |
| | 3 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "heart pounded in her chest" | | 1 | "eyes narrowed" | | 2 | "eyes widened" | | 3 | "stomach churned" | | 4 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1254 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1140 | | uniqueNames | 13 | | maxNameDensity | 1.67 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 19 | | Tube | 1 | | Eva | 9 | | Kowalski | 1 | | British | 1 | | Museum | 1 | | Veil | 3 | | Market | 4 | | Morris | 1 | | Compass | 1 | | Shade | 2 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Kowalski" | | 4 | "Museum" | | 5 | "Market" | | 6 | "Morris" | | 7 | "Compass" |
| | places | | 0 | "British" | | 1 | "Shade" | | 2 | "London" |
| | globalScore | 0.667 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1254 | | matches | (empty) | |
| 15.15% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 4 | | totalSentences | 88 | | matches | | 0 | "knew that Quinn" | | 1 | "knew that she" | | 2 | "knew that she" | | 3 | "knew that she" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 44.79 | | std | 22.94 | | cv | 0.512 | | sampleLengths | | 0 | 72 | | 1 | 66 | | 2 | 69 | | 3 | 13 | | 4 | 36 | | 5 | 12 | | 6 | 21 | | 7 | 84 | | 8 | 11 | | 9 | 67 | | 10 | 75 | | 11 | 13 | | 12 | 19 | | 13 | 51 | | 14 | 40 | | 15 | 70 | | 16 | 30 | | 17 | 23 | | 18 | 32 | | 19 | 57 | | 20 | 10 | | 21 | 56 | | 22 | 74 | | 23 | 59 | | 24 | 53 | | 25 | 40 | | 26 | 61 | | 27 | 40 |
| |
| 78.61% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 79 | | matches | | 0 | "was hidden" | | 1 | "was tucked" | | 2 | "was said" | | 3 | "were huddled" | | 4 | "been destroyed" | | 5 | "were covered" |
| |
| 63.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 196 | | matches | | 0 | "was spinning were trying" | | 1 | "was looking" | | 2 | "was following" |
| |
| 77.92% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 88 | | ratio | 0.023 | | matches | | 0 | "The air was thick with the scent of damp concrete and something else—something metallic and sharp." | | 1 | "It was a lead she had been chasing for three years, ever since she found a bone token in his pocket—the key to entering the Market." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1144 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.022727272727272728 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.007867132867132868 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 14.25 | | std | 6.65 | | cv | 0.467 | | sampleLengths | | 0 | 19 | | 1 | 16 | | 2 | 16 | | 3 | 5 | | 4 | 16 | | 5 | 21 | | 6 | 18 | | 7 | 13 | | 8 | 6 | | 9 | 8 | | 10 | 9 | | 11 | 16 | | 12 | 21 | | 13 | 23 | | 14 | 8 | | 15 | 5 | | 16 | 22 | | 17 | 14 | | 18 | 7 | | 19 | 5 | | 20 | 8 | | 21 | 13 | | 22 | 4 | | 23 | 22 | | 24 | 15 | | 25 | 17 | | 26 | 26 | | 27 | 11 | | 28 | 19 | | 29 | 19 | | 30 | 13 | | 31 | 16 | | 32 | 13 | | 33 | 14 | | 34 | 11 | | 35 | 20 | | 36 | 17 | | 37 | 13 | | 38 | 11 | | 39 | 8 | | 40 | 10 | | 41 | 17 | | 42 | 24 | | 43 | 5 | | 44 | 16 | | 45 | 19 | | 46 | 6 | | 47 | 15 | | 48 | 23 | | 49 | 13 |
| |
| 42.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.26136363636363635 | | totalSentences | 88 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 91.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 78 | | matches | | 0 | "She adjusted the cuff of" | | 1 | "It was hidden, secretive, and" | | 2 | "She turned to see Eva" | | 3 | "She clutched a worn leather" | | 4 | "It was said to move" | | 5 | "It was a lead she" | | 6 | "His eyes were wide and" | | 7 | "She pulled out a small" | | 8 | "It was a Veil Compass," | | 9 | "It was a rare and" | | 10 | "It was a sign of" | | 11 | "She walked over to the" | | 12 | "She turned back to Eva," | | 13 | "she said, her voice firm" | | 14 | "she said, holding up the" | | 15 | "She knew the risks, the" | | 16 | "She knew the road ahead" | | 17 | "She had to find the" | | 18 | "She would start with the" | | 19 | "She would talk to the" |
| | ratio | 0.321 | |
| 68.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 78 | | matches | | 0 | "Detective Harlow Quinn stepped off" | | 1 | "The air was thick with" | | 2 | "She adjusted the cuff of" | | 3 | "The time was 3:17 AM." | | 4 | "The full moon hung heavy" | | 5 | "The station was a hive" | | 6 | "The crime scene tape fluttered" | | 7 | "Quinn's sharp jaw set in" | | 8 | "This was no ordinary crime" | | 9 | "It was hidden, secretive, and" | | 10 | "a voice called out from" | | 11 | "She turned to see Eva" | | 12 | "Eva's curly red hair was" | | 13 | "She clutched a worn leather" | | 14 | "Quinn acknowledged, her voice steady" | | 15 | "Eva explained, tucking a strand" | | 16 | "Quinn nodded, her eyes scanning" | | 17 | "Eva hesitated, her gaze flickering" | | 18 | "Quinn's eyebrows shot up." | | 19 | "The Veil Market was a" |
| | ratio | 0.782 | |
| 64.10% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 78 | | matches | | 0 | "If the compass was the" |
| | ratio | 0.013 | |
| 61.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 6 | | matches | | 0 | "The station was a hive of activity, officers in high-vis vests scurrying about like ants, their flashlights cutting through the darkness." | | 1 | "The Veil Market was a legend among the supernatural community, a hidden black market that sold enchanted goods and banned alchemical substances." | | 2 | "The needle was spinning wildly, as if it were trying to point in all directions at once." | | 3 | "The Market was the key to unlocking the secrets of the supernatural world, a world that was becoming increasingly intertwined with their own." | | 4 | "She had to find the Veil Market, had to uncover the truth behind her partner's death and the supernatural forces that were at play." | | 5 | "As she stepped out into the night, the full moon casting a silver glow over the city, she knew that she was on the right path, that she was following the trail …" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 6 | | matches | | 0 | "Quinn acknowledged, her voice steady and calm" | | 1 | "Quinn demanded, her voice leaving no room for argument" | | 2 | "Quinn asked, her voice barely above a whisper" | | 3 | "the officers replied, his voice shaky" | | 4 | "she said, her voice firm and determined" | | 5 | "Eva said, her voice steady and resolute" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "Quinn acknowledged (acknowledge)" | | 1 | "Eva explained (explain)" | | 2 | "Quinn demanded (demand)" | | 3 | "she protested (protest)" |
| | dialogueSentences | 19 | | tagDensity | 0.474 | | leniency | 0.947 | | rawRatio | 0.444 | | effectiveRatio | 0.421 | |