| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 2 | | adverbTags | | 0 | "Harlow gestured dismissively [dismissively]" | | 1 | "she murmured sharply [sharply]" |
| | dialogueSentences | 39 | | tagDensity | 0.641 | | leniency | 1 | | rawRatio | 0.08 | | effectiveRatio | 0.08 | |
| 63.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1249 | | totalAiIsmAdverbs | 9 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "deliberately" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | |
| | highlights | | 0 | "utterly" | | 1 | "suddenly" | | 2 | "coldly" | | 3 | "deliberately" | | 4 | "nervously" | | 5 | "really" | | 6 | "very" | | 7 | "sharply" |
| |
| 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 | 1249 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | |
| | highlights | | 0 | "dancing" | | 1 | "shattered" | | 2 | "gloom" | | 3 | "echoed" | | 4 | "weight" | | 5 | "racing" | | 6 | "glistening" | | 7 | "furrowing" | | 8 | "intricate" | | 9 | "stomach" | | 10 | "apprehension" | | 11 | "pulse" | | 12 | "echo" | | 13 | "amidst" | | 14 | "glint" | | 15 | "etched" | | 16 | "raced" | | 17 | "implication" | | 18 | "scanning" | | 19 | "tapestry" | | 20 | "whisper" | | 21 | "pulsed" | | 22 | "looming" |
| |
| 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 | 2 | | narrationSentences | 72 | | matches | | 0 | "y with urgency" | | 1 | "t with confusion" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 72 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 10 | | totalWords | 1241 | | ratio | 0.008 | | matches | | 0 | "The Veil Market" | | 1 | "Your least favourite element, boy" | | 2 | "compass" | | 3 | "really" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 1 | | matches | | 0 | "Without lifting her head, Quinn grunted, focusing on the fine tendrils of crimson that twisted and pooled beneath the bo…" |
| |
| 89.39% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 990 | | uniqueNames | 6 | | maxNameDensity | 1.21 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Harris" | | discoveredNames | | Tube | 1 | | Harlow | 4 | | Quinn | 12 | | Harris | 12 | | Veil | 1 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Harris" |
| | places | | | globalScore | 0.894 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 4 | | matches | | 0 | "appeared reluctant at the entrance, casting nervous glances deeper into the shadows" | | 1 | "seemed particularly potent here" | | 2 | "seemed alive vibrating with energy that didn’t belong to the mortal realm" | | 3 | "as though trying to dislodge her interpretation of events" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1241 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 86 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 38.78 | | std | 22.18 | | cv | 0.572 | | sampleLengths | | 0 | 67 | | 1 | 29 | | 2 | 62 | | 3 | 49 | | 4 | 49 | | 5 | 52 | | 6 | 64 | | 7 | 38 | | 8 | 63 | | 9 | 37 | | 10 | 41 | | 11 | 6 | | 12 | 70 | | 13 | 9 | | 14 | 22 | | 15 | 79 | | 16 | 69 | | 17 | 65 | | 18 | 10 | | 19 | 25 | | 20 | 14 | | 21 | 21 | | 22 | 10 | | 23 | 39 | | 24 | 54 | | 25 | 21 | | 26 | 2 | | 27 | 56 | | 28 | 40 | | 29 | 3 | | 30 | 39 | | 31 | 36 |
| |
| 90.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 72 | | matches | | 0 | "been murdered" | | 1 | "was layered" | | 2 | "been awakened" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 169 | | matches | | 0 | "were winding" | | 1 | "was coming" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 3 | | flaggedSentences | 7 | | totalSentences | 86 | | ratio | 0.081 | | matches | | 0 | "The victim lay sprawled near a shattered vending machine, the candy wrappers strewn like confetti around him—a grotesque celebration of an end no one had wanted." | | 1 | "**The Veil Market** sold charms, yes, but to see it here—at a murder scene—-it settled coldly in the pit of her stomach." | | 2 | "At Quinn’s feet, the paper still lay waiting—an echo of the past and a promise of the future." | | 3 | "Amidst the wreckage, a silver glint caught her attention, glimmering through the debris—a small brass **compass**." | | 4 | "“Do you *really* think a local gang decided to base themselves in an abandoned underground?” She felt the vibrations of frustration rolling through her; her instincts screamed that this was layered, like an intricate tapestry woven with exquisite care." | | 5 | "Quinn felt something deeper spiral inside her; the thrill of the chase igniting against the encroaching darkness." | | 6 | "Someone would bleed tonight, but it wouldn’t be them; not if she could help it." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 996 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.03413654618473896 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.019076305220883535 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 14.43 | | std | 8.16 | | cv | 0.566 | | sampleLengths | | 0 | 23 | | 1 | 18 | | 2 | 26 | | 3 | 11 | | 4 | 13 | | 5 | 5 | | 6 | 20 | | 7 | 21 | | 8 | 21 | | 9 | 9 | | 10 | 19 | | 11 | 21 | | 12 | 20 | | 13 | 13 | | 14 | 16 | | 15 | 17 | | 16 | 10 | | 17 | 2 | | 18 | 23 | | 19 | 18 | | 20 | 17 | | 21 | 16 | | 22 | 13 | | 23 | 15 | | 24 | 23 | | 25 | 21 | | 26 | 8 | | 27 | 22 | | 28 | 12 | | 29 | 17 | | 30 | 18 | | 31 | 2 | | 32 | 15 | | 33 | 26 | | 34 | 6 | | 35 | 10 | | 36 | 45 | | 37 | 15 | | 38 | 3 | | 39 | 6 | | 40 | 10 | | 41 | 12 | | 42 | 11 | | 43 | 29 | | 44 | 16 | | 45 | 23 | | 46 | 12 | | 47 | 18 | | 48 | 32 | | 49 | 7 |
| |
| 84.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5116279069767442 | | totalSentences | 86 | | uniqueOpeners | 44 | |
| 49.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 67 | | matches | | 0 | "Suddenly, a sharp rattle echoed" |
| | ratio | 0.015 | |
| 88.66% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 67 | | matches | | 0 | "He appeared reluctant at the" | | 1 | "She turned her attention to" | | 2 | "she demanded, glancing absentmindedly at" | | 3 | "She could sense the tremors" | | 4 | "He’d been murdered, no doubt" | | 5 | "She waved Harris closer, reaching" | | 6 | "His voice faded out as" | | 7 | "She rolled the paper delicately" | | 8 | "He dropped his voice, even" | | 9 | "She felt the burn of" | | 10 | "She gestured towards the body" | | 11 | "she admitted, biting the inside" | | 12 | "She knew every jump and" | | 13 | "She tucked it inside, then" | | 14 | "She shot a glance toward" | | 15 | "he replied, eyes scanning the" | | 16 | "she said, twisting it in" | | 17 | "She felt the vibrations of" | | 18 | "she murmured sharply" | | 19 | "It pulsed in response, alive" |
| | ratio | 0.328 | |
| 49.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 67 | | matches | | 0 | "The pungent scent of decay" | | 1 | "Detective Harlow Quinn knelt beside" | | 2 | "The victim lay sprawled near" | | 3 | "Constable Harris’s voice broke through" | | 4 | "He appeared reluctant at the" | | 5 | "The victim, a middle-aged man" | | 6 | "She turned her attention to" | | 7 | "Harris’s face paled as he" | | 8 | "she demanded, glancing absentmindedly at" | | 9 | "Harris trailed off, his voice" | | 10 | "She could sense the tremors" | | 11 | "Quinn took a breath, her" | | 12 | "He’d been murdered, no doubt" | | 13 | "She waved Harris closer, reaching" | | 14 | "The wrinkled piece of paper" | | 15 | "Quinn picked it up and" | | 16 | "Each curl and twist seemed" | | 17 | "Harris asked, peering over her" | | 18 | "His voice faded out as" | | 19 | "She rolled the paper delicately" |
| | ratio | 0.821 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 67 | | matches | | 0 | "Before he could respond, the" |
| | ratio | 0.015 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 2 | | matches | | 0 | "Without lifting her head, Quinn grunted, focusing on the fine tendrils of crimson that twisted and pooled beneath the body." | | 1 | "She tucked it inside, then began to examine the surrounding area, her gaze darting between the body and the walls, the damp floor beneath them calling out to th…" |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 7 | | matches | | 0 | "Harris trailed, his voice small" | | 1 | "She felt, a mixture of curiosity and apprehension" | | 2 | "She gestured, as though it were a tick on the chalkboard of the universe, pointing out every scribble and line" | | 3 | "She shot, her voice dangerously low" | | 4 | "he replied, eyes scanning the area nervously" | | 5 | "Harlow raised, the needle spinning furiously" | | 6 | "she whispered, the predatory focus sharpening in her gaze" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 10 | | fancyTags | | 0 | "she demanded (demand)" | | 1 | "Harris stammered (stammer)" | | 2 | "she admitted (admit)" | | 3 | "she snapped (snap)" | | 4 | "he stammered (stammer)" | | 5 | "She felt (feel)" | | 6 | "Harlow ordered (order)" | | 7 | "She hissed (hiss)" | | 8 | "she murmured sharply (murmur)" | | 9 | "she whispered (whisper)" |
| | dialogueSentences | 39 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.769 | | effectiveRatio | 0.513 | |