| 66.67% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "He stepped back [back]" | | 1 | "she shouted again [again]" |
| | dialogueSentences | 26 | | tagDensity | 0.577 | | leniency | 1 | | rawRatio | 0.133 | | effectiveRatio | 0.133 | |
| 95.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1138 | | totalAiIsmAdverbs | 1 | | 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) | |
| 16.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1138 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "down her spine" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "echoed" | | 1 | "pounding" | | 2 | "chill" | | 3 | "down her spine" | | 4 | "silence" | | 5 | "scanning" | | 6 | "racing" | | 7 | "palpable" | | 8 | "sense of" | | 9 | "otherworldly" | | 10 | "stomach" | | 11 | "footsteps" | | 12 | "anticipation" | | 13 | "chaotic" | | 14 | "resolve" | | 15 | "pulse" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 69 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 80 | | 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 | 1129 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 974 | | uniqueNames | 11 | | maxNameDensity | 1.03 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 10 | | Dean | 1 | | Street | 1 | | Raven | 1 | | Nest | 1 | | Veil | 1 | | Market | 1 | | Tube | 1 | | Herrera | 1 | | Tomás | 5 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Market" | | 4 | "Herrera" | | 5 | "Tomás" |
| | places | | | globalScore | 0.987 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.886 | | wordCount | 1129 | | matches | | 0 | "not just from the chase but from the palpable sense of otherworldly energy threading thr" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 27.54 | | std | 16.9 | | cv | 0.614 | | sampleLengths | | 0 | 65 | | 1 | 28 | | 2 | 45 | | 3 | 57 | | 4 | 52 | | 5 | 65 | | 6 | 58 | | 7 | 21 | | 8 | 12 | | 9 | 30 | | 10 | 15 | | 11 | 17 | | 12 | 34 | | 13 | 9 | | 14 | 33 | | 15 | 15 | | 16 | 22 | | 17 | 36 | | 18 | 42 | | 19 | 11 | | 20 | 24 | | 21 | 27 | | 22 | 36 | | 23 | 30 | | 24 | 6 | | 25 | 25 | | 26 | 32 | | 27 | 45 | | 28 | 49 | | 29 | 3 | | 30 | 36 | | 31 | 37 | | 32 | 8 | | 33 | 25 | | 34 | 7 | | 35 | 5 | | 36 | 12 | | 37 | 12 | | 38 | 11 | | 39 | 12 | | 40 | 20 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 169 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 80 | | ratio | 0.063 | | matches | | 0 | "She should have waited for backup, but the urge to catch him—to put a name to the whispering suspicions that had dogged her for months—overpowered caution." | | 1 | "The figure was nearly gone, but she spotted a glimpse of his dark coat—a wraith slipping through shadows." | | 2 | "Then she felt it—a sudden shift in the air, a tingling anticipation that pulled her attention." | | 3 | "Quinn's gut twisted as she caught snippets of their murmurs—something about a deal gone wrong, something dark lurking beneath the surface." | | 4 | "She chased him into one last alcove—a tight space lined with colorful tapestries and an ominous doorway leading to an unseen path." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 924 | | adjectiveStacks | 1 | | stackExamples | | 0 | "ex-paramedic turned underground medic," |
| | adverbCount | 24 | | adverbRatio | 0.025974025974025976 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.00974025974025974 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 80 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 80 | | mean | 14.11 | | std | 6.91 | | cv | 0.49 | | sampleLengths | | 0 | 23 | | 1 | 30 | | 2 | 12 | | 3 | 28 | | 4 | 14 | | 5 | 5 | | 6 | 26 | | 7 | 23 | | 8 | 18 | | 9 | 16 | | 10 | 7 | | 11 | 15 | | 12 | 8 | | 13 | 7 | | 14 | 15 | | 15 | 10 | | 16 | 15 | | 17 | 22 | | 18 | 18 | | 19 | 21 | | 20 | 15 | | 21 | 22 | | 22 | 16 | | 23 | 5 | | 24 | 12 | | 25 | 18 | | 26 | 12 | | 27 | 15 | | 28 | 12 | | 29 | 5 | | 30 | 10 | | 31 | 24 | | 32 | 5 | | 33 | 4 | | 34 | 9 | | 35 | 24 | | 36 | 11 | | 37 | 4 | | 38 | 11 | | 39 | 11 | | 40 | 10 | | 41 | 11 | | 42 | 15 | | 43 | 9 | | 44 | 10 | | 45 | 23 | | 46 | 7 | | 47 | 4 | | 48 | 24 | | 49 | 16 |
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| 73.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.45 | | totalSentences | 80 | | uniqueOpeners | 36 | |
| 98.04% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 68 | | matches | | 0 | "Dimly lit stalls lined the" | | 1 | "Then she felt it—a sudden" |
| | ratio | 0.029 | |
| 78.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 68 | | matches | | 0 | "Her gaze fixed on the" | | 1 | "she shouted, but the figure" | | 2 | "She swore under her breath" | | 3 | "She should have waited for" | | 4 | "Her footfalls splashed through a" | | 5 | "She edged toward the gates," | | 6 | "she called, her voice steady" | | 7 | "He gestured toward the stalls" | | 8 | "she retorted, scanning the area" | | 9 | "He stepped back, pointing towards" | | 10 | "She pushed deeper into the" | | 11 | "It felt absurd, illicit, and" | | 12 | "She focused, narrowing her thoughts" | | 13 | "Her footsteps echoed sharply against" | | 14 | "She pressed on, stepping through" | | 15 | "His dark coat glimmered with" | | 16 | "she shouted again, lunging forward" | | 17 | "He bolted, dodging past startled" | | 18 | "They plunged into the heart" | | 19 | "She pushed past, her focus" |
| | ratio | 0.353 | |
| 11.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 68 | | matches | | 0 | "Detective Harlow Quinn's boots splashed" | | 1 | "The chatter of late-night drunks" | | 2 | "Her gaze fixed on the" | | 3 | "she shouted, but the figure" | | 4 | "She swore under her breath" | | 5 | "A bad idea, chasing him." | | 6 | "She should have waited for" | | 7 | "Her footfalls splashed through a" | | 8 | "The figure was nearly gone," | | 9 | "Quinn’s instincts screamed at her" | | 10 | "This alley led to The" | | 11 | "The thought sent a chill" | | 12 | "She edged toward the gates," | | 13 | "The moment she stepped through," | | 14 | "A scent of something distinctly" | | 15 | "A sudden burst of laughter" | | 16 | "The inhabitants of the market" | | 17 | "Quinn pushed onward, heart racing" | | 18 | "a voice teased from behind" | | 19 | "Quinn tensed, recognizing the tone." |
| | ratio | 0.897 | |
| 73.53% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 68 | | matches | | 0 | "Just as she rounded the" |
| | ratio | 0.015 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 4 | | matches | | 0 | "A sudden burst of laughter echoed, and she turned her head, scanning the shadows, looking for any signs of her quarry." | | 1 | "Then she felt it—a sudden shift in the air, a tingling anticipation that pulled her attention." | | 2 | "Quinn sprinted after him, her muscles burning, determination fueling her pace." | | 3 | "The rain dripped from her hair, merging with the sweat on her brow as she called again, desperation creeping into her voice." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 4 | | matches | | 0 | "she shouted, but the figure darted into a narrow alley, the flickering neon sign of The Raven's Nest casting eerie green light over the slick brick walls" | | 1 | "she called, her voice steady despite the unease swirling within her" | | 2 | "a voice hollered, but the market faded away behind her as she followed the figure into a deeper section lined with archways and shadowed corners" | | 3 | "Tomás pleaded, urgency lining his voice" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 10 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "a voice teased (tease)" | | 2 | "she retorted (retort)" | | 3 | "old sign declared (declare)" | | 4 | "a vendor snarled (snarl)" | | 5 | "She pressed on (press on)" | | 6 | "she shouted again (shout)" | | 7 | "a voice hollered (holler)" | | 8 | "she snapped (snap)" | | 9 | "Tomás pleaded (plead)" |
| | dialogueSentences | 26 | | tagDensity | 0.423 | | leniency | 0.846 | | rawRatio | 0.909 | | effectiveRatio | 0.769 | |