| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva gestured vaguely [vaguely]" | | 1 | "Eva said quietly [quietly]" |
| | dialogueSentences | 89 | | tagDensity | 0.258 | | leniency | 0.517 | | rawRatio | 0.087 | | effectiveRatio | 0.045 | |
| 93.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1643 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 63.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1643 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "flicked" | | 1 | "mechanical" | | 2 | "familiar" | | 3 | "shattered" | | 4 | "silence" | | 5 | "unreadable" | | 6 | "fractured" | | 7 | "stomach" | | 8 | "warmth" | | 9 | "reminder" | | 10 | "chill" |
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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 | 108 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 108 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 174 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1640 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1010 | | uniqueNames | 10 | | maxNameDensity | 1.78 | | worstName | "Eva" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Eva" | | discoveredNames | | Vienna | 1 | | Silas | 11 | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Wednesday | 1 | | Rory | 15 | | Eva | 18 | | Blood | 1 | | City | 1 |
| | persons | | 0 | "Silas" | | 1 | "Raven" | | 2 | "Rory" | | 3 | "Eva" | | 4 | "Blood" |
| | places | | | globalScore | 0.609 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | 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 | 1640 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 174 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 103 | | mean | 15.92 | | std | 15.76 | | cv | 0.99 | | sampleLengths | | 0 | 39 | | 1 | 37 | | 2 | 13 | | 3 | 2 | | 4 | 3 | | 5 | 17 | | 6 | 10 | | 7 | 54 | | 8 | 36 | | 9 | 7 | | 10 | 6 | | 11 | 12 | | 12 | 1 | | 13 | 1 | | 14 | 43 | | 15 | 9 | | 16 | 2 | | 17 | 6 | | 18 | 9 | | 19 | 28 | | 20 | 12 | | 21 | 26 | | 22 | 7 | | 23 | 16 | | 24 | 4 | | 25 | 2 | | 26 | 37 | | 27 | 24 | | 28 | 2 | | 29 | 1 | | 30 | 45 | | 31 | 21 | | 32 | 2 | | 33 | 1 | | 34 | 1 | | 35 | 40 | | 36 | 2 | | 37 | 1 | | 38 | 40 | | 39 | 5 | | 40 | 8 | | 41 | 22 | | 42 | 4 | | 43 | 1 | | 44 | 40 | | 45 | 3 | | 46 | 8 | | 47 | 17 | | 48 | 8 | | 49 | 18 |
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| 95.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 108 | | matches | | 0 | "being asked" | | 1 | "been wiped" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 177 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 174 | | ratio | 0.006 | | matches | | 0 | "The other—Eva—showed nothing, but her knuckles had gone white around the umbrella's handle." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1013 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 27 | | adverbRatio | 0.02665350444225074 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007897334649555774 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 174 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 174 | | mean | 9.43 | | std | 8.12 | | cv | 0.861 | | sampleLengths | | 0 | 9 | | 1 | 9 | | 2 | 16 | | 3 | 5 | | 4 | 18 | | 5 | 19 | | 6 | 8 | | 7 | 5 | | 8 | 2 | | 9 | 3 | | 10 | 13 | | 11 | 4 | | 12 | 10 | | 13 | 3 | | 14 | 41 | | 15 | 5 | | 16 | 5 | | 17 | 4 | | 18 | 10 | | 19 | 22 | | 20 | 7 | | 21 | 6 | | 22 | 5 | | 23 | 7 | | 24 | 1 | | 25 | 1 | | 26 | 14 | | 27 | 8 | | 28 | 8 | | 29 | 13 | | 30 | 9 | | 31 | 2 | | 32 | 6 | | 33 | 9 | | 34 | 6 | | 35 | 11 | | 36 | 11 | | 37 | 12 | | 38 | 9 | | 39 | 10 | | 40 | 7 | | 41 | 7 | | 42 | 13 | | 43 | 3 | | 44 | 4 | | 45 | 2 | | 46 | 15 | | 47 | 18 | | 48 | 4 | | 49 | 11 |
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| 61.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.40229885057471265 | | totalSentences | 174 | | uniqueOpeners | 70 | |
| 70.18% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 95 | | matches | | 0 | "Somewhere in the building, a" | | 1 | "Then he looked at the" |
| | ratio | 0.021 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 95 | | matches | | 0 | "She set them behind the" | | 1 | "She wasn't wrong." | | 2 | "She had run from familiar." | | 3 | "She stopped three steps inside" | | 4 | "he said, nodding toward the" | | 5 | "She crouched to gather the" | | 6 | "She deposited the glass into" | | 7 | "Her back was turned now," | | 8 | "She crossed to the bar," | | 9 | "Her expression had settled into" | | 10 | "She gestured at the dim" | | 11 | "he offered, setting the bottle" | | 12 | "Her palms were pressed flat" | | 13 | "She set it on the" | | 14 | "Her eyes lingered on Rory's" | | 15 | "She felt the impact but" | | 16 | "She gathered her umbrella and" | | 17 | "He set it down with" | | 18 | "She finally moved, reaching for" | | 19 | "It sat empty and waiting," |
| | ratio | 0.263 | |
| 7.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 95 | | matches | | 0 | "The man at the corner" | | 1 | "Every three minutes, his eyes" | | 2 | "Silas had seen that particular" | | 3 | "A man waiting for ghosts." | | 4 | "Rory emerged from the back" | | 5 | "She set them behind the" | | 6 | "Silas poured two fingers of" | | 7 | "She wasn't wrong." | | 8 | "Familiarity sat strange on her." | | 9 | "She had run from familiar." | | 10 | "The door swung open." | | 11 | "A woman stepped through, shaking" | | 12 | "Shoulder-length auburn hair, expensive coat," | | 13 | "She stopped three steps inside" | | 14 | "The tray slipped from Rory's" | | 15 | "Glass shattered against the hardwood." | | 16 | "Neither of them moved to" | | 17 | "Silas reached for a dustpan" | | 18 | "The younger one's face had" | | 19 | "The other—Eva—showed nothing, but her" |
| | ratio | 0.905 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "She set them behind the bar with the mechanical efficiency of someone who had stopped counting shifts months ago." | | 1 | "Her back was turned now, presenting Eva with the rigid line of her shoulders, the deliberate focus of someone cleaning a stain that had already been wiped away." | | 2 | "Silas emerged with a fresh bottle of something amber, moving through the scene with the practiced blindness of a man who had survived decades by knowing when no…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva's laugh came out, fractured" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "Eva pressed (press)" | | 1 | "Eva continued (continue)" |
| | dialogueSentences | 89 | | tagDensity | 0.101 | | leniency | 0.202 | | rawRatio | 0.222 | | effectiveRatio | 0.045 | |