| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1403 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1403 | | totalAiIsms | 36 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | |
| | highlights | | 0 | "quickened" | | 1 | "measured" | | 2 | "scanned" | | 3 | "crystal" | | 4 | "calculating" | | 5 | "glistening" | | 6 | "flicked" | | 7 | "trembled" | | 8 | "weight" | | 9 | "echoing" | | 10 | "could feel" | | 11 | "pulse" | | 12 | "echo" | | 13 | "unreadable" | | 14 | "whisper" | | 15 | "raced" | | 16 | "resolve" | | 17 | "pounding" | | 18 | "tension" | | 19 | "etched" | | 20 | "familiar" | | 21 | "magnetic" | | 22 | "footfall" | | 23 | "calculated" | | 24 | "tapestry" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 77 | | matches | (empty) | |
| 50.09% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 77 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1402 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.79% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1311 | | uniqueNames | 12 | | maxNameDensity | 1.14 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 15 | | Raven | 1 | | Nest | 1 | | Grigori | 6 | | Tomás | 3 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Greek | 1 | | Veil | 2 | | Market | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Grigori" | | 5 | "Tomás" | | 6 | "Herrera" | | 7 | "Saint" | | 8 | "Christopher" | | 9 | "Market" |
| | places | | | globalScore | 0.928 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 5 | | matches | | 0 | "as if expecting her arrival" | | 1 | "as if weighing the odds of escape" | | 2 | "as if breathing" | | 3 | "seemed ordinary geography textbooks, poetry collections" | | 4 | "whisper that seemed to blend with the rustle of paper" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1402 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 82.28% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 46.73 | | std | 20.47 | | cv | 0.438 | | sampleLengths | | 0 | 83 | | 1 | 72 | | 2 | 71 | | 3 | 74 | | 4 | 70 | | 5 | 50 | | 6 | 11 | | 7 | 41 | | 8 | 21 | | 9 | 36 | | 10 | 24 | | 11 | 67 | | 12 | 27 | | 13 | 64 | | 14 | 44 | | 15 | 30 | | 16 | 47 | | 17 | 62 | | 18 | 16 | | 19 | 8 | | 20 | 50 | | 21 | 48 | | 22 | 65 | | 23 | 40 | | 24 | 33 | | 25 | 17 | | 26 | 58 | | 27 | 50 | | 28 | 65 | | 29 | 58 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 77 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 216 | | matches | | |
| 40.82% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 84 | | ratio | 0.036 | | matches | | 0 | "Quinn's gaze dropped to the bookshelf lining the far wall, noticing a row of titles that seemed ordinary—geography textbooks, poetry collections." | | 1 | "Yet the pursuit had never been about safety; it had always been about uncovering truth, about chasing the shadows that lingered behind the city's bright lights." | | 2 | "The chase was not over; it had only turned inward, and Quinn was now deep within the Veil Market's labyrinth, her decision made, her resolve hardened, but the outcome still uncertain." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1312 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.019054878048780487 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005335365853658537 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 81.73% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 16.69 | | std | 5.91 | | cv | 0.354 | | sampleLengths | | 0 | 18 | | 1 | 14 | | 2 | 21 | | 3 | 30 | | 4 | 20 | | 5 | 18 | | 6 | 20 | | 7 | 14 | | 8 | 13 | | 9 | 23 | | 10 | 12 | | 11 | 23 | | 12 | 15 | | 13 | 17 | | 14 | 15 | | 15 | 27 | | 16 | 22 | | 17 | 23 | | 18 | 6 | | 19 | 12 | | 20 | 7 | | 21 | 22 | | 22 | 16 | | 23 | 12 | | 24 | 11 | | 25 | 10 | | 26 | 15 | | 27 | 16 | | 28 | 16 | | 29 | 5 | | 30 | 3 | | 31 | 16 | | 32 | 17 | | 33 | 16 | | 34 | 8 | | 35 | 19 | | 36 | 21 | | 37 | 27 | | 38 | 16 | | 39 | 11 | | 40 | 21 | | 41 | 14 | | 42 | 15 | | 43 | 14 | | 44 | 12 | | 45 | 20 | | 46 | 12 | | 47 | 21 | | 48 | 9 | | 49 | 6 |
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| 35.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.25 | | totalSentences | 84 | | uniqueOpeners | 21 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 53.77% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 77 | | matches | | 0 | "She pressed her palm to" | | 1 | "She slipped a hand into" | | 2 | "She rounded the corner and" | | 3 | "She scanned the room, eyes" | | 4 | "He lifted a glass, the" | | 5 | "She could call for backup," | | 6 | "She could press forward, risking" | | 7 | "He stepped forward, his scarred" | | 8 | "He spoke, his voice low" | | 9 | "She recognized the desperation in" | | 10 | "She understood the stakes, the" | | 11 | "He set his glass down" | | 12 | "He turned his head, his" | | 13 | "he whispered, his breath forming" | | 14 | "She could feel the city’s" | | 15 | "She stepped closer, the scent" | | 16 | "She reached out, her fingers" | | 17 | "She glanced at Tomás, whose" | | 18 | "He gave a small nod," | | 19 | "She could retreat, let Grigori" |
| | ratio | 0.416 | |
| 18.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 77 | | matches | | 0 | "Detective Harlow Quinn moved fast," | | 1 | "The street stretched ahead, empty" | | 2 | "She pressed her palm to" | | 3 | "The suspect turned a corner," | | 4 | "Quinn quickened her pace, the" | | 5 | "She slipped a hand into" | | 6 | "The chase was a rhythm" | | 7 | "She rounded the corner and" | | 8 | "The sign of The Raven's" | | 9 | "The bar's windows were fogged," | | 10 | "Quinn slipped past the guard," | | 11 | "The door swung open, revealing" | | 12 | "A low hum of conversation" | | 13 | "She scanned the room, eyes" | | 14 | "He lifted a glass, the" | | 15 | "Quinn's stride slowed, her mind" | | 16 | "She could call for backup," | | 17 | "She could press forward, risking" | | 18 | "He stepped forward, his scarred" | | 19 | "He spoke, his voice low" |
| | ratio | 0.883 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 6.30% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 68 | | technicalSentenceCount | 13 | | matches | | 0 | "Rain hammered the pavement, turning the city into a slick mirror that reflected neon signs and distant headlights." | | 1 | "She pressed her palm to the worn leather watch on her left wrist, feeling the steady tick against her skin, and took a breath that tasted of ozone and exhaust." | | 2 | "The suspect turned a corner, disappearing into the mouth of an alley that smelled of damp stone and old coffee." | | 3 | "At that table sat the suspect, a wiry man named Grigori, his eyes darting toward the entrance as if expecting her arrival." | | 4 | "From the shadows, Tomás Herrera emerged, his olive skin glistening with rain, the Saint Christopher medallion around his neck catching the light." | | 5 | "He turned his head, his gaze fixed on the doorway, as if weighing the odds of escape." | | 6 | "She stepped closer, the scent of old paper and dust rising from the floorboards, the maps on the walls shifting in the low light as if breathing." | | 7 | "Quinn's gaze dropped to the bookshelf lining the far wall, noticing a row of titles that seemed ordinary—geography textbooks, poetry collections." | | 8 | "He gave a small nod, his thumb tapping the side of his medallion in a rhythm that matched her heartbeat." | | 9 | "She could feel the pulse of the city in her veins, the relentless rhythm that had driven her career." | | 10 | "She felt the weight of her badge lighten, as if the weight of her duty shifted to something more primal." | | 11 | "A voice rose from the darkness, smooth and resonant, speaking in a language that seemed both foreign and familiar." | | 12 | "Yet the pursuit had never been about safety; it had always been about uncovering truth, about chasing the shadows that lingered behind the city's bright lights." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn said, her voice cutting through the ambient noise" | | 1 | "he whispered, his breath forming a mist in the cold air" | | 2 | "Grigori murmured, his voice barely audible over the rain" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "he whispered (whisper)" | | 1 | "Grigori murmured (murmur)" | | 2 | "Tomás continued (continue)" |
| | dialogueSentences | 12 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.75 | | effectiveRatio | 0.5 | |