| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1120 | | 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 | 1120 | | totalAiIsms | 34 | | 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 | | | 25 | |
| | highlights | | 0 | "footsteps" | | 1 | "echoed" | | 2 | "reminder" | | 3 | "navigating" | | 4 | "depths" | | 5 | "flicker" | | 6 | "raced" | | 7 | "footfall" | | 8 | "silence" | | 9 | "echoes" | | 10 | "familiar" | | 11 | "loomed" | | 12 | "maw" | | 13 | "predator" | | 14 | "charm" | | 15 | "weight" | | 16 | "magnetic" | | 17 | "cascading" | | 18 | "steeled" | | 19 | "determined" | | 20 | "spectral" | | 21 | "otherworldly" | | 22 | "enigma" | | 23 | "clandestine" | | 24 | "resolve" | | 25 | "macabre" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 84.02% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 2 | | adjustedGibberishSentences | 2 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0.028 | | matches | | 0 | "<chapter>" | | 1 | "</chapter>" |
| |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1094 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1054 | | uniqueNames | 15 | | maxNameDensity | 1.42 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Wet | 1 | | Detective | 1 | | Harlow | 3 | | Quinn | 15 | | Morris | 1 | | Victorian-era | 1 | | Veil | 3 | | Market | 3 | | Tube | 1 | | London | 1 | | Herrera | 1 | | Tomás | 2 | | Saint | 1 | | Christopher | 1 | | Rain | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Market" | | 4 | "Herrera" | | 5 | "Tomás" | | 6 | "Saint" | | 7 | "Christopher" |
| | places | | 0 | "Detective" | | 1 | "London" | | 2 | "Rain" |
| | globalScore | 0.788 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | 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 | 1094 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 33.15 | | std | 16.59 | | cv | 0.5 | | sampleLengths | | 0 | 1 | | 1 | 70 | | 2 | 34 | | 3 | 54 | | 4 | 44 | | 5 | 44 | | 6 | 42 | | 7 | 40 | | 8 | 46 | | 9 | 66 | | 10 | 17 | | 11 | 53 | | 12 | 14 | | 13 | 36 | | 14 | 52 | | 15 | 38 | | 16 | 31 | | 17 | 48 | | 18 | 23 | | 19 | 24 | | 20 | 16 | | 21 | 51 | | 22 | 21 | | 23 | 34 | | 24 | 28 | | 25 | 16 | | 26 | 35 | | 27 | 21 | | 28 | 27 | | 29 | 16 | | 30 | 18 | | 31 | 33 | | 32 | 1 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 71 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 195 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 19 | | semicolonCount | 0 | | flaggedSentences | 15 | | totalSentences | 71 | | ratio | 0.211 | | matches | | 0 | "\"Stop!\" she barked into the darkness, authoritative yet breathless, hoping—not expecting—a miracle, an error, anything to trip him up." | | 1 | "Pursuit was only part of her job—not her life." | | 2 | "She spotted him again—a twist of torso, a leg, unmistaken in its motion, as he emerged from hyper-darkness, sunken spaces." | | 3 | "Phantom sellers bartering hexes, charms, secrets—a weight orbiting the word \"temptation.\" And yet here she stood at its entrance, preparing to enter." | | 4 | "Her decision was preordained—inevitably drawn by duty, by the magnetic pull of her obligation." | | 5 | "The Veil Market felt alive now—more than mere commerce." | | 6 | "A seller with penetrating eyes and a scar running along his left forearm approached, focus smoothing from object to spectre—from hawking to hunting." | | 7 | "\"To find him means finding yourself equal. Are you ready for absolution, detective?\" Quinn's jaw flexed, questions driven to her tongue by the weight of this bargain—the necessity of a discovery that could transform darkness into light, resolve into closure." | | 8 | "Tomás turned, leading Quinn through uncertain thickets—of secrets undisturbed by time, loyalties teased by force—his Saint Christopher medallion reflecting unseen flames." | | 9 | "Within the glowing market, silhouettes shifted incessantly—a world transitioning with each dawn." | | 10 | "Liquid shadows pooled at their feet—the rain and its mark serving all before them." | | 11 | "Rain droplets continued their frantic fall, untouched by the reality of Quinn's resolve—that this would be her ending, a choice from which her heart could never return." | | 12 | "The Veil Market loomed around them, strengthened by stories woven—not imaginary—with meaning pulled from soul's depths." | | 13 | "Whether resolution emerged was undecided—quiet between predator and prey, the market's macabre cultivations cresting upon their shared silence." | | 14 | "In this place, beneath moon-drenched sky, the chase finally closed, hunger sated, justice meted—yet not without challenge, whether lost or gained in equal measure—fates resting on a precipice never owned." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 765 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.032679738562091505 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.01699346405228758 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 15.41 | | std | 7.93 | | cv | 0.515 | | sampleLengths | | 0 | 1 | | 1 | 31 | | 2 | 9 | | 3 | 30 | | 4 | 19 | | 5 | 15 | | 6 | 22 | | 7 | 16 | | 8 | 7 | | 9 | 9 | | 10 | 21 | | 11 | 23 | | 12 | 16 | | 13 | 1 | | 14 | 1 | | 15 | 3 | | 16 | 15 | | 17 | 8 | | 18 | 19 | | 19 | 23 | | 20 | 20 | | 21 | 20 | | 22 | 4 | | 23 | 19 | | 24 | 23 | | 25 | 19 | | 26 | 14 | | 27 | 17 | | 28 | 16 | | 29 | 3 | | 30 | 14 | | 31 | 10 | | 32 | 21 | | 33 | 22 | | 34 | 14 | | 35 | 23 | | 36 | 13 | | 37 | 20 | | 38 | 14 | | 39 | 7 | | 40 | 11 | | 41 | 18 | | 42 | 20 | | 43 | 15 | | 44 | 9 | | 45 | 4 | | 46 | 3 | | 47 | 12 | | 48 | 14 | | 49 | 22 |
| |
| 84.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5352112676056338 | | totalSentences | 71 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 67 | | matches | | 0 | "Her breath steamed in the" | | 1 | "She clenched her teeth, navigating" | | 2 | "she barked into the darkness," | | 3 | "Her quarry responded invisibly, as" | | 4 | "Her eyes, sharp and hungry," | | 5 | "It wasn't supposed to be" | | 6 | "Her heart raced as she" | | 7 | "She couldn't silence the echoes," | | 8 | "She sought the suspect visually," | | 9 | "She spotted him again—a twist" | | 10 | "Her suspect descended a flight" | | 11 | "Her jaw tightened and she" | | 12 | "It loomed like the maw" | | 13 | "Her own hand fidgeted instinctively" | | 14 | "Her decision was preordained—inevitably drawn" | | 15 | "She crept through the subterranean" | | 16 | "She pressed forward." | | 17 | "He nodded knowingly, a myriad" | | 18 | "Her gaze fell upon the" | | 19 | "he whispered, hoarse and raw," |
| | ratio | 0.299 | |
| 42.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 67 | | matches | | 0 | "Her breath steamed in the" | | 1 | "She clenched her teeth, navigating" | | 2 | "she barked into the darkness," | | 3 | "Her quarry responded invisibly, as" | | 4 | "Quinn discerned the flicker of" | | 5 | "Her eyes, sharp and hungry," | | 6 | "It wasn't supposed to be" | | 7 | "Pursuit was only part of" | | 8 | "The figure ducked down a" | | 9 | "Her heart raced as she" | | 10 | "Each footfall beat against the" | | 11 | "An unfinished reckoning." | | 12 | "She couldn't silence the echoes," | | 13 | "DS Morris's face haunted every" | | 14 | "Harlow's lungs burned as she" | | 15 | "A curious bristle in the" | | 16 | "She sought the suspect visually," | | 17 | "She spotted him again—a twist" | | 18 | "The chase tumbled downward." | | 19 | "Her suspect descended a flight" |
| | ratio | 0.836 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 67 | | matches | | 0 | "Whether resolution emerged was undecided—quiet" |
| | ratio | 0.015 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 3 | | matches | | 0 | "She clenched her teeth, navigating the labyrinthine pathways of the backstreets with the confidence of someone who knows every corner, every hideaway, yet feels…" | | 1 | "A bone token clutched in his hand, flashing momentarily like an artifact from a ritual, before vanishing into the obscurity of his palm." | | 2 | "The dim aisles offered no refuge from clandestine souls who watched with practised innocuousness." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn didn't, her brows framing her piercing visage" | | 1 | "Quinn stated, purpose seeping from the vowels spoken" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "she barked (bark)" | | 1 | "Quinn stated (state)" | | 2 | "he whispered (whisper)" |
| | dialogueSentences | 7 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 1 | | effectiveRatio | 0.857 | |