| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 978 | | totalAiIsmAdverbs | 2 | | 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) | |
| 2.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 978 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "raced" | | 1 | "footsteps" | | 2 | "pounding" | | 3 | "glistening" | | 4 | "glinting" | | 5 | "echoing" | | 6 | "resolve" | | 7 | "charged" | | 8 | "scanning" | | 9 | "scanned" | | 10 | "could feel" | | 11 | "tension" | | 12 | "familiar" | | 13 | "imposing" | | 14 | "unwavering" | | 15 | "determined" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 2 |
|
| | highlights | | 0 | "heart pounded in her chest" | | 1 | "eyes narrowed" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 47 | | matches | (empty) | |
| 21.28% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 47 | | filterMatches | | | hedgeMatches | | 0 | "started to" | | 1 | "seemed to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 56 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 981 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 77.97% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 833 | | uniqueNames | 11 | | maxNameDensity | 1.44 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 12 | | Soho | 1 | | Tomás | 1 | | Herrera | 5 | | Veil | 1 | | Market | 1 | | Raven | 1 | | Nest | 1 | | Silas | 5 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Raven" | | 5 | "Silas" |
| | places | | | globalScore | 0.78 | | windowScore | 1 | |
| 96.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 1 | | matches | | 0 | "eyes that seemed to bore into her soul" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 981 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 56 | | matches | | |
| 65.94% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 37.73 | | std | 14.37 | | cv | 0.381 | | sampleLengths | | 0 | 53 | | 1 | 51 | | 2 | 53 | | 3 | 73 | | 4 | 52 | | 5 | 46 | | 6 | 37 | | 7 | 57 | | 8 | 51 | | 9 | 22 | | 10 | 15 | | 11 | 40 | | 12 | 17 | | 13 | 30 | | 14 | 35 | | 15 | 34 | | 16 | 38 | | 17 | 31 | | 18 | 25 | | 19 | 41 | | 20 | 33 | | 21 | 21 | | 22 | 41 | | 23 | 17 | | 24 | 20 | | 25 | 48 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 47 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 126 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 56 | | ratio | 0.054 | | matches | | 0 | "The Veil Market, an infamous supernatural black market, lay beneath these streets – a place she had only heard whispers about, a realm of the unknown that she had purposefully avoided." | | 1 | "Her eyes landed on a bookshelf in the corner, and she noticed a faint shimmer of energy around it – a sign that there was more to this place than met the eye." | | 2 | "She had to make a choice – turn back and walk away, or plunge headfirst into the unknown, determined to follow the trail of her suspect, no matter where it led." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 835 | | adjectiveStacks | 1 | | stackExamples | | 0 | "infamous supernatural black market," |
| | adverbCount | 13 | | adverbRatio | 0.015568862275449102 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.011976047904191617 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 56 | | echoCount | 0 | | echoWords | (empty) | |
| 76.05% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 56 | | mean | 17.52 | | std | 5.96 | | cv | 0.34 | | sampleLengths | | 0 | 31 | | 1 | 22 | | 2 | 24 | | 3 | 19 | | 4 | 8 | | 5 | 13 | | 6 | 20 | | 7 | 20 | | 8 | 12 | | 9 | 19 | | 10 | 11 | | 11 | 31 | | 12 | 15 | | 13 | 19 | | 14 | 18 | | 15 | 17 | | 16 | 11 | | 17 | 18 | | 18 | 27 | | 19 | 10 | | 20 | 18 | | 21 | 21 | | 22 | 18 | | 23 | 18 | | 24 | 33 | | 25 | 22 | | 26 | 15 | | 27 | 20 | | 28 | 20 | | 29 | 8 | | 30 | 9 | | 31 | 18 | | 32 | 12 | | 33 | 16 | | 34 | 19 | | 35 | 11 | | 36 | 23 | | 37 | 15 | | 38 | 23 | | 39 | 14 | | 40 | 17 | | 41 | 10 | | 42 | 15 | | 43 | 18 | | 44 | 23 | | 45 | 15 | | 46 | 18 | | 47 | 15 | | 48 | 6 | | 49 | 21 |
| |
| 75.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4642857142857143 | | totalSentences | 56 | | uniqueOpeners | 26 | |
| 70.92% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 47 | | matches | | 0 | "Suddenly, Herrera veered to the" |
| | ratio | 0.021 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 47 | | matches | | 0 | "She had been tracking Herrera" | | 1 | "She hesitated for a split" | | 2 | "Her eyes landed on a" | | 3 | "He was tall and slender," | | 4 | "she said, her voice low" | | 5 | "she said, her voice firm" | | 6 | "he said, his voice low" | | 7 | "She knew she was in" | | 8 | "she growled, her hand tightening" | | 9 | "She had to make a" |
| | ratio | 0.213 | |
| 87.66% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 47 | | matches | | 0 | "The rain fell in a" | | 1 | "The suspect, a young man" | | 2 | "Quinn's blood roared in her" | | 3 | "She had been tracking Herrera" | | 4 | "Herrera darted down an alley," | | 5 | "Quinn followed, her worn leather" | | 6 | "The alley was narrow and" | | 7 | "Quinn's eyes narrowed as she" | | 8 | "She hesitated for a split" | | 9 | "The Veil Market, an infamous" | | 10 | "The air grew thick and" | | 11 | "The air felt heavy, charged" | | 12 | "Quinn tightened her grip on" | | 13 | "The patrons, a diverse array" | | 14 | "Quinn scanned the room, her" | | 15 | "Her eyes landed on a" | | 16 | "Quinn turned to see a" | | 17 | "He was tall and slender," | | 18 | "she said, her voice low" | | 19 | "Silas's lips curled into a" |
| | ratio | 0.745 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 47 | | matches | | 0 | "Now, she was tantalizingly close" |
| | ratio | 0.021 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 2 | | matches | | 0 | "Quinn scanned the room, her gaze sweeping over the old maps and black-and-white photographs that adorned the walls." | | 1 | "He was tall and slender, with a sharp jawline and piercing blue eyes that seemed to bore into her soul." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 4 | | matches | | 0 | "she said, her voice low and steady" | | 1 | "she said, her voice firm and unyielding" | | 2 | "he said, his voice low and menacing" | | 3 | "she growled, her hand tightening around the grip of her sidearm" |
| |
| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.25 | | effectiveRatio | 0.154 | |