| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "he began then [then]" | | 1 | "he asked quietly [quietly]" |
| | dialogueSentences | 76 | | tagDensity | 0.211 | | leniency | 0.421 | | rawRatio | 0.125 | | effectiveRatio | 0.053 | |
| 75.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1456 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "perfectly" | | 1 | "slightly" | | 2 | "lightly" | | 3 | "really" | | 4 | "very" |
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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) | |
| 48.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1456 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "flicker" | | 1 | "pulse" | | 2 | "weight" | | 3 | "fractured" | | 4 | "charm" | | 5 | "pulsed" | | 6 | "silence" | | 7 | "glinting" | | 8 | "methodical" | | 9 | "dance" |
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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 | 0 | | narrationSentences | 145 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 145 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 204 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 8 | | totalWords | 1447 | | ratio | 0.006 | | matches | | 0 | "roost" | | 1 | "prevent" | | 2 | "bother" | | 3 | "Thud. Thud." | | 4 | "now" | | 5 | "reworked" | | 6 | "both" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.74% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 944 | | uniqueNames | 11 | | maxNameDensity | 1.17 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 4 | | Brick | 1 | | Lane | 1 | | Ptolemy | 4 | | Moreau | 1 | | Knife | 1 | | Warm | 1 | | Rory | 11 | | Lucien | 6 | | Ran | 1 | | Silence | 1 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Moreau" | | 3 | "Rory" | | 4 | "Lucien" |
| | places | | | globalScore | 0.917 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.691 | | wordCount | 1447 | | matches | | 0 | "Not with his usual polished detachment, but with something raw beneath it" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 204 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 111 | | mean | 13.04 | | std | 12.04 | | cv | 0.924 | | sampleLengths | | 0 | 54 | | 1 | 17 | | 2 | 22 | | 3 | 30 | | 4 | 11 | | 5 | 15 | | 6 | 6 | | 7 | 5 | | 8 | 52 | | 9 | 5 | | 10 | 12 | | 11 | 21 | | 12 | 3 | | 13 | 30 | | 14 | 15 | | 15 | 3 | | 16 | 37 | | 17 | 6 | | 18 | 26 | | 19 | 9 | | 20 | 53 | | 21 | 18 | | 22 | 5 | | 23 | 7 | | 24 | 11 | | 25 | 22 | | 26 | 6 | | 27 | 13 | | 28 | 5 | | 29 | 30 | | 30 | 7 | | 31 | 8 | | 32 | 15 | | 33 | 22 | | 34 | 11 | | 35 | 1 | | 36 | 8 | | 37 | 15 | | 38 | 6 | | 39 | 20 | | 40 | 8 | | 41 | 13 | | 42 | 3 | | 43 | 7 | | 44 | 7 | | 45 | 5 | | 46 | 17 | | 47 | 5 | | 48 | 42 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 145 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 168 | | matches | | |
| 58.82% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 204 | | ratio | 0.029 | | matches | | 0 | "Through the thin curtains, Brick Lane’s evening bustle rumbled below—car horns, shouts, the occasional bass drop from a passing car." | | 1 | "Eva knocked like she was playing a piano with one finger—PTOOOM, PTOOOM, PTOOOM—never in code." | | 2 | "His gaze dropped to her wrist—the small crescent scar peeking out from under her sleeve." | | 3 | "The flat reacted instantly—walls covered in bookshelves bowed under the weight of occult texts, yellowed maps, stacks of handwritten notes in Eva’s looping cursive." | | 4 | "The street below jittered with life—drunk students, a guy selling bootleg DVDs, a young couple arguing over a kebab." | | 5 | "The curry house sign outside cast a sickly rhythm over them—red, gold, red, gold—like a pulse." |
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| 92.68% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 951 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.048370136698212406 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.013669821240799159 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 204 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 204 | | mean | 7.09 | | std | 5.89 | | cv | 0.83 | | sampleLengths | | 0 | 17 | | 1 | 20 | | 2 | 17 | | 3 | 7 | | 4 | 8 | | 5 | 2 | | 6 | 3 | | 7 | 4 | | 8 | 15 | | 9 | 15 | | 10 | 7 | | 11 | 3 | | 12 | 2 | | 13 | 3 | | 14 | 5 | | 15 | 6 | | 16 | 4 | | 17 | 3 | | 18 | 8 | | 19 | 1 | | 20 | 5 | | 21 | 5 | | 22 | 18 | | 23 | 9 | | 24 | 8 | | 25 | 17 | | 26 | 3 | | 27 | 2 | | 28 | 12 | | 29 | 3 | | 30 | 3 | | 31 | 15 | | 32 | 3 | | 33 | 13 | | 34 | 9 | | 35 | 8 | | 36 | 12 | | 37 | 3 | | 38 | 3 | | 39 | 2 | | 40 | 15 | | 41 | 20 | | 42 | 6 | | 43 | 5 | | 44 | 3 | | 45 | 3 | | 46 | 15 | | 47 | 9 | | 48 | 24 | | 49 | 18 |
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| 51.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3480392156862745 | | totalSentences | 204 | | uniqueOpeners | 71 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 114 | | matches | | 0 | "Of course it was him." | | 1 | "Just stood there in her" | | 2 | "Just air leaving lungs, the" | | 3 | "Just for a second." | | 4 | "Then he laughed." | | 5 | "Then Lucien moved." | | 6 | "Just a shift of weight," | | 7 | "Just two people who knew" |
| | ratio | 0.07 | |
| 83.16% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 114 | | matches | | 0 | "Her pulse jumped." | | 1 | "His yellow eyes locked onto" | | 2 | "She yanked the door open." | | 3 | "He didn’t smile." | | 4 | "he said, voice smooth as" | | 5 | "She didn’t move." | | 6 | "She felt his judgment like" | | 7 | "He tilted his head slightly," | | 8 | "His gaze dropped to her" | | 9 | "She exhaled through her nose." | | 10 | "He stepped across the threshold" | | 11 | "She crossed her arms." | | 12 | "He gave her the ghost" | | 13 | "He tapped the cane once" | | 14 | "He crossed to the small" | | 15 | "She picked up the towel," | | 16 | "He set the cane against" | | 17 | "He looked at her." | | 18 | "She tossed the towel onto" | | 19 | "His jaw tightened." |
| | ratio | 0.342 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 114 | | matches | | 0 | "The neon flicker of a" | | 1 | "Rory froze halfway between the" | | 2 | "The knock came again, sharper" | | 3 | "Her pulse jumped." | | 4 | "That wasn’t Eva’s rhythm." | | 5 | "Eva knocked like she was" | | 6 | "The cat, Ptolemy, lifted his" | | 7 | "His yellow eyes locked onto" | | 8 | "A slow blink." | | 9 | "Rory set the towel down." | | 10 | "The other black, almost swallowed" | | 11 | "She yanked the door open." | | 12 | "Lucien Moreau stood in the" | | 13 | "Platinum blond hair slicked back" | | 14 | "Ivory cane resting against the" | | 15 | "He didn’t smile." | | 16 | "he said, voice smooth as" | | 17 | "She didn’t move." | | 18 | "The cat slunk closer, tail" | | 19 | "She felt his judgment like" |
| | ratio | 0.719 | |
| 43.86% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 114 | | matches | | 0 | "Even Ptolemy had gone rigid," |
| | ratio | 0.009 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 2 | | matches | | 0 | "The neon behind her pulsed, painting his face in flickering amber and black." | | 1 | "Just two people who knew each other’s rhythms, who’d danced this dance before, under different names, different disguises." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, voice smooth as aged brandy, rolling the r perfectly" | | 1 | "she said, voice low," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 76 | | tagDensity | 0.145 | | leniency | 0.289 | | rawRatio | 0 | | effectiveRatio | 0 | |