| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn turned back [back]" | | 1 | "Quinn turned back [back]" |
| | dialogueSentences | 41 | | tagDensity | 0.439 | | leniency | 0.878 | | rawRatio | 0.111 | | effectiveRatio | 0.098 | |
| 87.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1194 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "carefully" | | 1 | "really" | | 2 | "quickly" |
| |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 53.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1194 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "furrowing" | | 1 | "flickered" | | 2 | "familiar" | | 3 | "footsteps" | | 4 | "echoing" | | 5 | "pulsed" | | 6 | "raced" | | 7 | "processed" | | 8 | "glint" | | 9 | "warmth" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 65 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 65 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1179 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 780 | | uniqueNames | 8 | | maxNameDensity | 1.15 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Webb" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 9 | | Marcus | 1 | | Webb | 6 | | London | 2 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Marcus" | | 3 | "Webb" |
| | places | | | globalScore | 0.923 | | windowScore | 0.667 | |
| 38.89% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 2 | | matches | | 0 | "quite close, always from witnesses who clammed up the moment she pushed" | | 1 | "something like emotion crossed her face" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.848 | | wordCount | 1179 | | matches | | 0 | "Not fresh in the way of days or weeks, but fresh compared to everything else around it" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 31.03 | | std | 23.93 | | cv | 0.771 | | sampleLengths | | 0 | 74 | | 1 | 23 | | 2 | 4 | | 3 | 66 | | 4 | 59 | | 5 | 4 | | 6 | 6 | | 7 | 23 | | 8 | 7 | | 9 | 23 | | 10 | 23 | | 11 | 6 | | 12 | 7 | | 13 | 59 | | 14 | 11 | | 15 | 55 | | 16 | 28 | | 17 | 56 | | 18 | 3 | | 19 | 53 | | 20 | 4 | | 21 | 1 | | 22 | 58 | | 23 | 19 | | 24 | 3 | | 25 | 59 | | 26 | 78 | | 27 | 15 | | 28 | 38 | | 29 | 2 | | 30 | 62 | | 31 | 33 | | 32 | 35 | | 33 | 6 | | 34 | 45 | | 35 | 51 | | 36 | 53 | | 37 | 27 |
| |
| 89.07% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 65 | | matches | | 0 | "been painted" | | 1 | "got buried" | | 2 | "been taken" | | 3 | "been meant" |
| |
| 93.33% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 125 | | matches | | 0 | "was looking" | | 1 | "was beginning" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 87 | | ratio | 0.115 | | matches | | 0 | "She stood at the edge of the crime scene—if you could call it that—her hands clasped behind her back, her posture rigid enough to drill through concrete." | | 1 | "The man's clothes were ordinary—jeans, a grey hoodie, trainers that had seen better days." | | 2 | "Webb's expression flickered—skepticism held in careful check." | | 3 | "She was looking at the wall—really looking—at the decades of grime and older stains, the water damage and the graffiti that had been painted over twice." | | 4 | "Someone had sprayed a symbol in black—a circle bisected by a vertical line, with smaller markings clustered at the top and bottom." | | 5 | "It looked almost like a rune, or a sigil, or—" | | 6 | "The calluses on his hands suggested he'd descended on a rope—not the action of a man who'd simply wandered into an abandoned station." | | 7 | "The absence of a weapon didn't mean there hadn't been one; it meant the weapon had been taken, or had never been meant to stay." | | 8 | "And the vendors who'd cleared out so quickly—their speed spoke of fear, not just discretion." | | 9 | "She knelt beside the body once more, studying the man's face—the slack features, the half-closed eyes that had seen their last moment." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 791 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.03666245259165613 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010113780025284451 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 13.55 | | std | 9.88 | | cv | 0.729 | | sampleLengths | | 0 | 23 | | 1 | 27 | | 2 | 24 | | 3 | 12 | | 4 | 11 | | 5 | 4 | | 6 | 38 | | 7 | 28 | | 8 | 13 | | 9 | 14 | | 10 | 13 | | 11 | 7 | | 12 | 12 | | 13 | 4 | | 14 | 3 | | 15 | 3 | | 16 | 8 | | 17 | 15 | | 18 | 7 | | 19 | 17 | | 20 | 3 | | 21 | 3 | | 22 | 23 | | 23 | 6 | | 24 | 6 | | 25 | 1 | | 26 | 10 | | 27 | 29 | | 28 | 20 | | 29 | 7 | | 30 | 4 | | 31 | 9 | | 32 | 44 | | 33 | 2 | | 34 | 19 | | 35 | 9 | | 36 | 18 | | 37 | 12 | | 38 | 26 | | 39 | 1 | | 40 | 2 | | 41 | 4 | | 42 | 17 | | 43 | 22 | | 44 | 10 | | 45 | 4 | | 46 | 1 | | 47 | 21 | | 48 | 13 | | 49 | 2 |
| |
| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4482758620689655 | | totalSentences | 87 | | uniqueOpeners | 39 | |
| 58.48% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 57 | | matches | | 0 | "Somewhere above them, London stirred" |
| | ratio | 0.018 | |
| 65.61% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 57 | | matches | | 0 | "She stood at the edge" | | 1 | "She crouched, ignoring the protest" | | 2 | "She pointed without touching" | | 3 | "Her eyes narrowed." | | 4 | "She'd heard the name three" | | 5 | "She gestured at the tunnel" | | 6 | "She walked toward the far" | | 7 | "She was looking at the" | | 8 | "It looked almost like a" | | 9 | "Her mind raced through the" | | 10 | "It wasn't quite anger." | | 11 | "It wasn't quite grief." | | 12 | "It was older than both." | | 13 | "She moved past him, back" | | 14 | "She met his gaze steadily" | | 15 | "Her voice caught" | | 16 | "She buried it." | | 17 | "She knelt beside the body" | | 18 | "She pulled out a bone" | | 19 | "She turned it over, and" |
| | ratio | 0.386 | |
| 38.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 57 | | matches | | 0 | "The ambulance lights painted the" | | 1 | "She stood at the edge" | | 2 | "The body lay sprawled between" | | 3 | "DC Marcus Webb appeared at" | | 4 | "Webb flipped a page" | | 5 | "Quinn finally moved, stepping closer" | | 6 | "The man's clothes were ordinary—jeans," | | 7 | "Nothing that marked him as" | | 8 | "She crouched, ignoring the protest" | | 9 | "Webb leaned in." | | 10 | "She pointed without touching" | | 11 | "Quinn stood, her gaze moving" | | 12 | "Her eyes narrowed." | | 13 | "Webb stopped, his brow furrowing" | | 14 | "Quinn said the words carefully," | | 15 | "She'd heard the name three" | | 16 | "Webb's expression flickered—skepticism held in" | | 17 | "Quinn turned back to the" | | 18 | "She gestured at the tunnel" | | 19 | "Webb's voice had gone careful," |
| | ratio | 0.842 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 6 | | matches | | 0 | "The body lay sprawled between two abandoned ticket barriers, the man's face turned toward the arched ceiling as though he'd been watching something fall." | | 1 | "She'd heard the name three times in the past month, always in connection with cases that didn't quite close, always from witnesses who clammed up the moment she…" | | 2 | "She was looking at the wall—really looking—at the decades of grime and older stains, the water damage and the graffiti that had been painted over twice." | | 3 | "The calluses on his hands suggested he'd descended on a rope—not the action of a man who'd simply wandered into an abandoned station." | | 4 | "She knelt beside the body once more, studying the man's face—the slack features, the half-closed eyes that had seen their last moment." | | 5 | "But in the tunnel, the shadows remained deep and undisturbed, and Quinn knew, with the certainty that had settled into her bones over three years of unanswered …" |
| |
| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 3 | | matches | | 0 | "DC Marcus Webb appeared, his notebook already open" | | 1 | "Webb stopped, his brow furrowing" | | 2 | "She walked, her footsteps echoing in the empty space" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 41 | | tagDensity | 0.122 | | leniency | 0.244 | | rawRatio | 0.2 | | effectiveRatio | 0.049 | |