| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1021 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1021 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | word | "down her spine" | | count | 1 |
| | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "footsteps" | | 1 | "echoed" | | 2 | "pounding" | | 3 | "chilled" | | 4 | "resolving" | | 5 | "rhythmic" | | 6 | "flicker" | | 7 | "glint" | | 8 | "echoing" | | 9 | "determined" | | 10 | "scanning" | | 11 | "flicked" | | 12 | "pulsed" | | 13 | "raced" | | 14 | "calculated" | | 15 | "clandestine" | | 16 | "down her spine" | | 17 | "predator" | | 18 | "dancing" | | 19 | "glinting" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "shiver down spine" | | count | 1 |
| | 1 | | label | "heart pounded in chest" | | count | 1 |
| | 2 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | 0 | "A shiver ran down her spine" | | 1 | "heart hammered in her chest" | | 2 | "eyes widened" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 65 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 65 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 67 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1007 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 997 | | uniqueNames | 6 | | maxNameDensity | 0.7 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 7 | | Soho | 1 | | Glock | 1 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Glock" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 55.66% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like relics from some bygone era" | | 1 | "looked like a ghost in the fog—standing," |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1007 | | matches | (empty) | |
| 67.16% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 67 | | matches | | 0 | "knew that bar" | | 1 | "shouted that this" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 45.77 | | std | 25.22 | | cv | 0.551 | | sampleLengths | | 0 | 91 | | 1 | 78 | | 2 | 36 | | 3 | 52 | | 4 | 66 | | 5 | 50 | | 6 | 45 | | 7 | 62 | | 8 | 33 | | 9 | 13 | | 10 | 2 | | 11 | 59 | | 12 | 58 | | 13 | 52 | | 14 | 85 | | 15 | 69 | | 16 | 56 | | 17 | 44 | | 18 | 4 | | 19 | 29 | | 20 | 11 | | 21 | 12 |
| |
| 99.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 65 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 161 | | matches | | 0 | "was weaving" | | 1 | "was closing" | | 2 | "was approaching" | | 3 | "was seeking" | | 4 | "was closing" | | 5 | "was lurking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 67 | | ratio | 0.164 | | matches | | 0 | "The suspect—clad in a dark hoodie and jeans soaked from head to boots—had a lead, or so she told herself, but now he was weaving through the labyrinth of Soho like a rat in a trap." | | 1 | "Quinn’s heart hammered in her chest—her ears tuned to the rhythmic clatter of her shoes, the muted whoosh of rain hitting the pavement." | | 2 | "A faint sound from behind, hurried, uneven footsteps—someone else was closing in." | | 3 | "The suspect disappeared into that bar and her instincts buzzed—this wasn’t about some petty theft or a simple street thief." | | 4 | "She remembered the whispers about the underground market she unwittingly uncovered—the Veil Market, a place where all manner of supernatural paraphernalia shuffled from hand to hand, hidden beneath the city in abandoned tunnels and forgotten vaults." | | 5 | "Quinn’s mind raced—she could corner him here, or follow." | | 6 | "Among the clientele, she saw the signs of illicit dealings—men in mismatched suits, a couple of figures cloaked in hooded jackets with eyes flicking around." | | 7 | "She knew this was a dangerous game—once inside this alley of secrets, she’d be taking a step off the map, into territory no normal cop was supposed to venture." | | 8 | "But stories of the supernatural always sounded absurd until someone—somehow—had seen it." | | 9 | "The figure with the hoodie now looked like a ghost in the fog—standing, eyeing the crowd with a predator’s focus." | | 10 | "He reached into his pocket, fingers closing around a small, shiny object—something metallic, glinting under the low light." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1011 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.03560830860534125 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009891196834817012 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 67 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 67 | | mean | 15.03 | | std | 9.36 | | cv | 0.623 | | sampleLengths | | 0 | 18 | | 1 | 23 | | 2 | 14 | | 3 | 36 | | 4 | 16 | | 5 | 23 | | 6 | 39 | | 7 | 20 | | 8 | 11 | | 9 | 5 | | 10 | 2 | | 11 | 26 | | 12 | 18 | | 13 | 6 | | 14 | 12 | | 15 | 25 | | 16 | 3 | | 17 | 4 | | 18 | 22 | | 19 | 9 | | 20 | 21 | | 21 | 20 | | 22 | 1 | | 23 | 3 | | 24 | 4 | | 25 | 16 | | 26 | 14 | | 27 | 7 | | 28 | 20 | | 29 | 2 | | 30 | 4 | | 31 | 36 | | 32 | 16 | | 33 | 17 | | 34 | 13 | | 35 | 2 | | 36 | 7 | | 37 | 14 | | 38 | 20 | | 39 | 18 | | 40 | 36 | | 41 | 9 | | 42 | 13 | | 43 | 13 | | 44 | 29 | | 45 | 10 | | 46 | 24 | | 47 | 11 | | 48 | 22 | | 49 | 11 |
| |
| 70.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.43283582089552236 | | totalSentences | 67 | | uniqueOpeners | 29 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 62 | | matches | | 0 | "Only the muffled squelch of" | | 1 | "Further down the alley, an" | | 2 | "Just then the figure behind" | | 3 | "Then he saw her." |
| | ratio | 0.065 | |
| 58.71% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 62 | | matches | | 0 | "Her coat billowed behind her," | | 1 | "She kept her eyes on" | | 2 | "He turned sharply into a" | | 3 | "She hesitated, instincts battling her" | | 4 | "She glimpsed a flickering neon" | | 5 | "Her gut clenched." | | 6 | "She knew that bar." | | 7 | "Her hand tightened on her" | | 8 | "She could give chase, or" | | 9 | "It was something else." | | 10 | "She remembered the whispers about" | | 11 | "She hesitated, scanning the dimly" | | 12 | "Her gaze flicked back to" | | 13 | "She could go after him," | | 14 | "It would be risky, buying" | | 15 | "He appeared again in the" | | 16 | "She took a calculated breath," | | 17 | "She pushed the door open" | | 18 | "Her gaze lingered on the" | | 19 | "She knew this was a" |
| | ratio | 0.403 | |
| 72.90% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 62 | | matches | | 0 | "The crack of footsteps echoed" | | 1 | "Detective Harlow Quinn darted between" | | 2 | "Her coat billowed behind her," | | 3 | "The suspect—clad in a dark" | | 4 | "The streets narrowed, the world" | | 5 | "Quinn’s heart hammered in her" | | 6 | "She kept her eyes on" | | 7 | "He turned sharply into a" | | 8 | "Quinn cursed, quickening her pace," | | 9 | "Quinn pressed her palm against" | | 10 | "She hesitated, instincts battling her" | | 11 | "A faint sound from behind," | | 12 | "She glimpsed a flickering neon" | | 13 | "Her gut clenched." | | 14 | "She knew that bar." | | 15 | "Her hand tightened on her" | | 16 | "The suspect had disappeared into" | | 17 | "Quinn’s eyes darted around." | | 18 | "She could give chase, or" | | 19 | "The suspect disappeared into that" |
| | ratio | 0.774 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 62 | | matches | | 0 | "Yet, a gnawing suspicion moved" | | 1 | "If he was seeking out" |
| | ratio | 0.032 | |
| 51.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 6 | | matches | | 0 | "The crack of footsteps echoed behind him, pounding in a staccato rhythm that blurred through the rain-slicked pavement." | | 1 | "She kept her eyes on him, lungs screaming with each breath, mind sharpening on every detail: the flickering streetlamp that cast a flicker of blue light over hi…" | | 2 | "The neon sign pulsed with an infected green glow that made her skin crawl." | | 3 | "He appeared again in the alley’s mouth for half a second, sprinting toward a grey metal staircase that led into the building’s side, his figure vanishing behind…" | | 4 | "Wood panels, dark and scratched, lined the walls, covered with old photographs and maps that looked like relics from some bygone era." | | 5 | "Her gaze lingered on the darkened back room, concealed behind a stack of antique bookshelves that seemed more like a doorway to clandestine dealings than a part…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |