| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 17 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0.125 | | effectiveRatio | 0.118 | |
| 91.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1181 | | 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) | |
| 6.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1181 | | totalAiIsms | 22 | | 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 | |
| | highlights | | 0 | "familiar" | | 1 | "database" | | 2 | "churning" | | 3 | "flickered" | | 4 | "oppressive" | | 5 | "gloom" | | 6 | "echoing" | | 7 | "palpable" | | 8 | "shimmered" | | 9 | "throbbed" | | 10 | "chaotic" | | 11 | "intensity" | | 12 | "pulsed" | | 13 | "tangible" | | 14 | "weight" | | 15 | "sense of" | | 16 | "down her spine" | | 17 | "traced" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
| | 2 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "hung in the air" | | 2 | "sent a shiver down" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 106 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 106 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1181 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1049 | | uniqueNames | 18 | | maxNameDensity | 1.05 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Quinn | 1 | | Greek | 1 | | Street | 1 | | London | 1 | | Elias | 2 | | Vance | 6 | | Veil | 1 | | Market | 1 | | Tube | 1 | | Harlow | 11 | | Metropolitan | 2 | | Police | 2 | | Morris | 2 | | Saint | 1 | | Christopher | 1 | | Seville | 1 | | Herrera | 3 | | Three | 3 |
| | persons | | 0 | "Quinn" | | 1 | "Elias" | | 2 | "Vance" | | 3 | "Market" | | 4 | "Harlow" | | 5 | "Morris" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Herrera" |
| | places | | 0 | "Greek" | | 1 | "Street" | | 2 | "London" | | 3 | "Seville" |
| | globalScore | 0.976 | | windowScore | 0.833 | |
| 38.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 3 | | matches | | 0 | "stretched on, seemingly endless, before abr" | | 1 | "looked like an abandoned Tube station pla" | | 2 | "beings that seemed to distort the light around them, and humans, but…" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1181 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 115 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 28.12 | | std | 18.6 | | cv | 0.662 | | sampleLengths | | 0 | 58 | | 1 | 39 | | 2 | 69 | | 3 | 36 | | 4 | 44 | | 5 | 44 | | 6 | 13 | | 7 | 2 | | 8 | 46 | | 9 | 5 | | 10 | 3 | | 11 | 50 | | 12 | 55 | | 13 | 62 | | 14 | 11 | | 15 | 43 | | 16 | 35 | | 17 | 13 | | 18 | 37 | | 19 | 6 | | 20 | 37 | | 21 | 53 | | 22 | 8 | | 23 | 18 | | 24 | 45 | | 25 | 18 | | 26 | 8 | | 27 | 19 | | 28 | 9 | | 29 | 15 | | 30 | 11 | | 31 | 14 | | 32 | 8 | | 33 | 28 | | 34 | 7 | | 35 | 42 | | 36 | 23 | | 37 | 23 | | 38 | 31 | | 39 | 56 | | 40 | 17 | | 41 | 20 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 106 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 177 | | matches | | 0 | "was speaking" | | 1 | "was handing" |
| |
| 18.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 115 | | ratio | 0.043 | | matches | | 0 | "The stench grew stronger here – damp earth, something vaguely metallic, and an underlying aroma that reminded her unpleasantly of formaldehyde." | | 1 | "Creatures Harlow had only read about in obscure case files moved amongst the stalls – gaunt figures with elongated limbs, shimmering beings that seemed to distort the light around them, and humans, but…" | | 2 | "The woman – whatever she was – examined the box with a practiced eye." | | 3 | "“Detective Quinn, I presume?” he said softly, his voice laced with a faint accent – Seville, she thought." | | 4 | "But something else – a deeper, more primal fear – warned her to retreat." |
| |
| 98.36% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1049 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.04003813155386082 | | lyAdverbCount | 23 | | lyAdverbRatio | 0.0219256434699714 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 10.27 | | std | 6.91 | | cv | 0.673 | | sampleLengths | | 0 | 5 | | 1 | 19 | | 2 | 12 | | 3 | 2 | | 4 | 20 | | 5 | 22 | | 6 | 5 | | 7 | 5 | | 8 | 7 | | 9 | 19 | | 10 | 17 | | 11 | 33 | | 12 | 11 | | 13 | 3 | | 14 | 22 | | 15 | 17 | | 16 | 17 | | 17 | 10 | | 18 | 8 | | 19 | 21 | | 20 | 15 | | 21 | 13 | | 22 | 2 | | 23 | 9 | | 24 | 8 | | 25 | 16 | | 26 | 13 | | 27 | 5 | | 28 | 3 | | 29 | 20 | | 30 | 11 | | 31 | 19 | | 32 | 8 | | 33 | 33 | | 34 | 1 | | 35 | 13 | | 36 | 14 | | 37 | 30 | | 38 | 18 | | 39 | 11 | | 40 | 16 | | 41 | 17 | | 42 | 10 | | 43 | 8 | | 44 | 6 | | 45 | 15 | | 46 | 6 | | 47 | 3 | | 48 | 4 | | 49 | 3 |
| |
| 57.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.391304347826087 | | totalSentences | 115 | | uniqueOpeners | 45 | |
| 73.26% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 91 | | matches | | 0 | "More like a panicked rabbit." | | 1 | "Just this swirling mass of…" |
| | ratio | 0.022 | |
| 96.92% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 91 | | matches | | 0 | "Her worn leather watch, familiar" | | 1 | "He moved with a frantic" | | 2 | "She kept a steady pace," | | 3 | "She pulled a small flashlight" | | 4 | "she called out, her voice" | | 5 | "She descended, each step echoing" | | 6 | "It was a sprawling labyrinth" | | 7 | "Their eyes glowed with an" | | 8 | "He was speaking urgently to" | | 9 | "She wore a long, flowing" | | 10 | "He was handing her a" | | 11 | "She needed to observe, to" | | 12 | "Her gut clenched." | | 13 | "She nodded curtly, then produced" | | 14 | "He didn’t see her." | | 15 | "She thought of DS Morris." | | 16 | "He was of medium height," | | 17 | "he said softly, his voice" | | 18 | "he said, a wry smile" | | 19 | "she said, her voice tight" |
| | ratio | 0.308 | |
| 53.41% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 91 | | matches | | 0 | "The rain tasted like grit." | | 1 | "Harlow Quinn wiped a bead" | | 2 | "Her worn leather watch, familiar" | | 3 | "That's how long she’d been" | | 4 | "He moved with a frantic" | | 5 | "The scent of wet asphalt" | | 6 | "She kept a steady pace," | | 7 | "The man, she’d learned from" | | 8 | "Vance ducked into a narrow" | | 9 | "Harlow didn’t hesitate." | | 10 | "Years on the force had" | | 11 | "The alley ended abruptly at" | | 12 | "A single bare bulb flickered" | | 13 | "Harlow hesitated at the top" | | 14 | "The stench grew stronger here" | | 15 | "She pulled a small flashlight" | | 16 | "she called out, her voice" | | 17 | "She descended, each step echoing" | | 18 | "The air grew colder, the" | | 19 | "The staircase opened into a" |
| | ratio | 0.813 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 82.07% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 4 | | matches | | 0 | "He moved with a frantic energy that belied his age, a wiry man in a charcoal suit, constantly looking over his shoulder." | | 1 | "The stench grew stronger here – damp earth, something vaguely metallic, and an underlying aroma that reminded her unpleasantly of formaldehyde." | | 2 | "Creatures Harlow had only read about in obscure case files moved amongst the stalls – gaunt figures with elongated limbs, shimmering beings that seemed to disto…" | | 3 | "She glanced back at Vance, who was now disappearing into the throng, the obsidian-skinned woman swallowed by the crowd." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 4 | | matches | | 0 | "she called out, her voice echoing strangely in the confined space" | | 1 | "he said, a wry smile playing on his lips" | | 2 | "she said, her voice tight" | | 3 | "she said, her voice low" |
| |
| 32.35% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "Harlow pressed (press)" |
| | dialogueSentences | 17 | | tagDensity | 0.353 | | leniency | 0.706 | | rawRatio | 0.333 | | effectiveRatio | 0.235 | |