| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said slowly [slowly]" |
| | dialogueSentences | 31 | | tagDensity | 0.387 | | leniency | 0.774 | | rawRatio | 0.083 | | effectiveRatio | 0.065 | |
| 74.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1354 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "gently" | | 3 | "slowly" | | 4 | "carefully" | | 5 | "completely" |
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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) | |
| 33.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1354 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "stark" | | 1 | "reminder" | | 2 | "scanned" | | 3 | "glint" | | 4 | "etched" | | 5 | "familiar" | | 6 | "tracing" | | 7 | "silence" | | 8 | "flicked" | | 9 | "calculating" | | 10 | "cataloged" | | 11 | "unspoken" | | 12 | "weight" | | 13 | "churned" | | 14 | "navigate" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "The air was heavy with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 67 | | matches | (empty) | |
| 57.57% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1349 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 954 | | uniqueNames | 12 | | maxNameDensity | 1.57 | | worstName | "Harlow" | | maxWindowNameDensity | 4 | | worstWindowName | "Harlow" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Harlow | 15 | | Quinn | 5 | | Market | 5 | | Ewan | 1 | | Veil | 3 | | Detective | 5 | | Eva | 15 | | Kowalski | 1 | | Compass | 1 | | London | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Detective" | | 3 | "Eva" | | 4 | "Kowalski" | | 5 | "Compass" |
| | places | | | globalScore | 0.714 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | 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 | 1349 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 65.12% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 42.16 | | std | 15.93 | | cv | 0.378 | | sampleLengths | | 0 | 66 | | 1 | 59 | | 2 | 54 | | 3 | 52 | | 4 | 35 | | 5 | 51 | | 6 | 67 | | 7 | 28 | | 8 | 68 | | 9 | 39 | | 10 | 53 | | 11 | 43 | | 12 | 40 | | 13 | 50 | | 14 | 39 | | 15 | 42 | | 16 | 8 | | 17 | 15 | | 18 | 47 | | 19 | 65 | | 20 | 14 | | 21 | 23 | | 22 | 25 | | 23 | 31 | | 24 | 63 | | 25 | 59 | | 26 | 38 | | 27 | 35 | | 28 | 25 | | 29 | 44 | | 30 | 38 | | 31 | 33 |
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| 94.79% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 67 | | matches | | 0 | "was abandoned" | | 1 | "were torn" | | 2 | "were marred" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 157 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 86 | | ratio | 0.07 | | matches | | 0 | "The air was heavy with moisture, and every breath carried a hint of something more—something that spoke of secrets and darkness." | | 1 | "His clothes were torn, and patches of skin were marred with strange splotches—a mix of blue and black." | | 2 | "The protective sigils were familiar to her—though she couldn't read them, they exuded an aura of ancient caution." | | 3 | "Nearby, an unfinished sigil lingered on the floor—scratched hurriedly into the dirt and stone." | | 4 | "Eva pulled out a small notepad from her satchel full of books—the worn leather had seen better days." | | 5 | "\"Then we need to be prepared; whatever did this has left tracks. We just have to pick up the scent.\"" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 761 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.026281208935611037 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.013140604467805518 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 15.69 | | std | 7.22 | | cv | 0.461 | | sampleLengths | | 0 | 19 | | 1 | 26 | | 2 | 21 | | 3 | 17 | | 4 | 4 | | 5 | 21 | | 6 | 17 | | 7 | 26 | | 8 | 12 | | 9 | 16 | | 10 | 20 | | 11 | 18 | | 12 | 14 | | 13 | 14 | | 14 | 18 | | 15 | 3 | | 16 | 14 | | 17 | 19 | | 18 | 18 | | 19 | 19 | | 20 | 25 | | 21 | 23 | | 22 | 4 | | 23 | 24 | | 24 | 16 | | 25 | 18 | | 26 | 21 | | 27 | 13 | | 28 | 8 | | 29 | 14 | | 30 | 17 | | 31 | 17 | | 32 | 14 | | 33 | 11 | | 34 | 6 | | 35 | 5 | | 36 | 18 | | 37 | 12 | | 38 | 13 | | 39 | 4 | | 40 | 9 | | 41 | 22 | | 42 | 5 | | 43 | 30 | | 44 | 20 | | 45 | 19 | | 46 | 20 | | 47 | 7 | | 48 | 23 | | 49 | 12 |
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| 72.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.45348837209302323 | | totalSentences | 86 | | uniqueOpeners | 39 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 66 | | matches | | 0 | "Her worn leather watch caught" | | 1 | "She glanced at the hand-carved" | | 2 | "It granted her entry to" | | 3 | "His clothes were torn, and" | | 4 | "She turned her head slightly," | | 5 | "she said, rising to her" | | 6 | "It was a silence that" | | 7 | "She stepped closer and gestured" | | 8 | "she said slowly, She tapped" | | 9 | "She stood, her bearing even" | | 10 | "Her eyes, sharp and calculating," | | 11 | "She gave the station one" | | 12 | "She had always been more" | | 13 | "she said, her voice decisive" | | 14 | "It was a labyrinth of" | | 15 | "They moved with matched strides" |
| | ratio | 0.242 | |
| 20.61% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 66 | | matches | | 0 | "The abandoned Tube station beneath" | | 1 | "Detective Harlow Quinn stepped off" | | 2 | "The air was heavy with" | | 3 | "Her worn leather watch caught" | | 4 | "The Market was abandoned for" | | 5 | "Harlow didn't have the patience" | | 6 | "She glanced at the hand-carved" | | 7 | "It granted her entry to" | | 8 | "Eva gave a quick, dismissive" | | 9 | "Detective Quinn scanned the surroundings," | | 10 | "Eva said, tucking a stray" | | 11 | "The movement spoke of her" | | 12 | "Detective Quinn crouched beside the" | | 13 | "A man, mid-thirties, lay spread-eagle" | | 14 | "His clothes were torn, and" | | 15 | "Harlow murmured, her voice flat" | | 16 | "She turned her head slightly," | | 17 | "The beam of her flashlight" | | 18 | "Eva followed her gaze." | | 19 | "Harlow reached out with gloved" |
| | ratio | 0.879 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 38.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 6 | | matches | | 0 | "The air was heavy with moisture, and every breath carried a hint of something more—something that spoke of secrets and darkness." | | 1 | "Eva gave a quick, dismissive wave at the uniformed officers standing by, their presence lingering like nervous shadows." | | 2 | "Every detail was carefully cataloged in her mind, from the arcane inscriptions to the subtle shifts in shadows that whispered of secrets she wasn't yet privy to…" | | 3 | "As they ascended, Harlow was acutely aware of the heavy weight on her shoulders, the nuanced and delicate web of connections that could be the making or undoing…" | | 4 | "The night was far from over, and the full moon approached, drawing out ancient secrets that refused to remain hidden." | | 5 | "They moved with matched strides into the quietude of the London night, the empty streets awash with the distant hum of life unaware, and the promise of enigmas …" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 3 | | matches | | 0 | "Eva offered, her voice growing stronger as she latched onto the theory" | | 1 | "She stood, her bearing even more rigid" | | 2 | "she said, her voice decisive" |
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| 53.23% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "Harlow murmured (murmur)" | | 1 | "Eva suggested (suggest)" | | 2 | "she muttered (mutter)" |
| | dialogueSentences | 31 | | tagDensity | 0.226 | | leniency | 0.452 | | rawRatio | 0.429 | | effectiveRatio | 0.194 | |