| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.184 | | leniency | 0.367 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1608 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 59.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1608 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "fluttered" | | 1 | "weight" | | 2 | "shattered" | | 3 | "standard" | | 4 | "etched" | | 5 | "echoed" | | 6 | "pulse" | | 7 | "trembled" | | 8 | "whisper" | | 9 | "silk" | | 10 | "pulsed" |
| |
| 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 | 109 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 109 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1628 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1091 | | uniqueNames | 8 | | maxNameDensity | 1.37 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Quinn | 15 | | Camden | 1 | | Alfie | 1 | | Chen | 9 | | Morris | 1 | | Kowalski | 1 | | Eva | 7 |
| | persons | | 0 | "Detective" | | 1 | "Quinn" | | 2 | "Alfie" | | 3 | "Chen" | | 4 | "Morris" | | 5 | "Kowalski" | | 6 | "Eva" |
| | places | (empty) | | globalScore | 0.813 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like shattered ceramic" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.614 | | wordCount | 1628 | | matches | | 0 | "Not identical, but related" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 149 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 24.3 | | std | 20.2 | | cv | 0.831 | | sampleLengths | | 0 | 64 | | 1 | 29 | | 2 | 3 | | 3 | 42 | | 4 | 4 | | 5 | 23 | | 6 | 54 | | 7 | 89 | | 8 | 9 | | 9 | 42 | | 10 | 32 | | 11 | 58 | | 12 | 7 | | 13 | 32 | | 14 | 3 | | 15 | 26 | | 16 | 15 | | 17 | 15 | | 18 | 72 | | 19 | 21 | | 20 | 6 | | 21 | 31 | | 22 | 6 | | 23 | 71 | | 24 | 33 | | 25 | 7 | | 26 | 9 | | 27 | 5 | | 28 | 15 | | 29 | 36 | | 30 | 7 | | 31 | 24 | | 32 | 5 | | 33 | 3 | | 34 | 14 | | 35 | 11 | | 36 | 41 | | 37 | 31 | | 38 | 56 | | 39 | 1 | | 40 | 11 | | 41 | 32 | | 42 | 23 | | 43 | 18 | | 44 | 49 | | 45 | 54 | | 46 | 5 | | 47 | 5 | | 48 | 11 | | 49 | 25 |
| |
| 95.61% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 109 | | matches | | 0 | "been sealed" | | 1 | "been drawn" | | 2 | "been sealed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 175 | | matches | | 0 | "was doing" | | 1 | "was choosing" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 149 | | ratio | 0.067 | | matches | | 0 | "The beam of her torch swept across cracked tile walls, graffiti from decades ago bleeding into something newer — symbols that didn't belong to any tagging crew she'd ever profiled." | | 1 | "Male, as Chen had said — white, heavyset, dressed in a bespoke suit that probably cost more than Quinn's annual salary." | | 2 | "And around the body, scratched into the tile floor with what might have been a knife or a fingernail — a circle of symbols she didn't recognize." | | 3 | "She studied the skin — no lividity." | | 4 | "Its needle spun in a slow, steady rotation — not searching." | | 5 | "The concourse was larger than she'd expected — vaulted ceiling, pillars along the perimeter, most of them half-collapsed or stripped to rebar." | | 6 | "The needle stopped spinning and pointed — not north, not to any direction that made sense in the geography of the station." | | 7 | "A sound rose from the floor — low, resonant, like a tuning fork struck against stone." | | 8 | "She noticed now what she'd missed before — a single word carved into the skin of his wrist, so fresh the cuts still wept." | | 9 | "Chen shouted something behind her — about procedure, about contamination, about the forensics team being ten minutes out." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 880 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.025 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.00909090909090909 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 10.93 | | std | 8.97 | | cv | 0.821 | | sampleLengths | | 0 | 12 | | 1 | 30 | | 2 | 22 | | 3 | 11 | | 4 | 3 | | 5 | 15 | | 6 | 3 | | 7 | 23 | | 8 | 19 | | 9 | 4 | | 10 | 13 | | 11 | 10 | | 12 | 4 | | 13 | 18 | | 14 | 17 | | 15 | 15 | | 16 | 17 | | 17 | 21 | | 18 | 6 | | 19 | 7 | | 20 | 38 | | 21 | 3 | | 22 | 2 | | 23 | 4 | | 24 | 27 | | 25 | 2 | | 26 | 2 | | 27 | 5 | | 28 | 6 | | 29 | 12 | | 30 | 20 | | 31 | 16 | | 32 | 7 | | 33 | 22 | | 34 | 4 | | 35 | 5 | | 36 | 4 | | 37 | 7 | | 38 | 32 | | 39 | 3 | | 40 | 26 | | 41 | 15 | | 42 | 3 | | 43 | 12 | | 44 | 4 | | 45 | 14 | | 46 | 25 | | 47 | 15 | | 48 | 11 | | 49 | 3 |
| |
| 64.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.42953020134228187 | | totalSentences | 149 | | uniqueOpeners | 64 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 97 | | matches | | 0 | "Officially, structural damage." | | 1 | "Unofficially, nobody in local council" | | 2 | "Too clean for a derelict" | | 3 | "Somewhere deeper in the tunnel," |
| | ratio | 0.041 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 97 | | matches | | 0 | "He stood at the mouth" | | 1 | "She'd learned three years ago," | | 2 | "She pressed forward through the" | | 3 | "His face wore an expression" | | 4 | "She studied the skin —" | | 5 | "She checked the fingers." | | 6 | "She pulled on nitrile gloves" | | 7 | "Its needle spun in a" | | 8 | "She held it closer." | | 9 | "She knelt again, running a" | | 10 | "Her phone buzzed." | | 11 | "She checked the screen." | | 12 | "She stepped away from the" | | 13 | "Its needle still turned." | | 14 | "It pointed straight down." | | 15 | "He jogged over." | | 16 | "He stumbled back." | | 17 | "She watched the glow pulse," | | 18 | "She noticed now what she'd" | | 19 | "She crouched, angling her torch." |
| | ratio | 0.258 | |
| 47.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 97 | | matches | | 0 | "The tape fluttered against Detective" | | 1 | "The beam of her torch" | | 2 | "The air sat heavy in" | | 3 | "The abandoned Camden tube station" | | 4 | "The voice belonged to PC" | | 5 | "He stood at the mouth" | | 6 | "Chen shifted his weight" | | 7 | "Quinn didn't ask why." | | 8 | "She'd learned three years ago," | | 9 | "She pressed forward through the" | | 10 | "The beam ahead widened where" | | 11 | "The body lay in the" | | 12 | "The other clutched something to" | | 13 | "His face wore an expression" | | 14 | "The geometry was precise, deliberate." | | 15 | "Someone had taken time with" | | 16 | "Chen said, pointing at the" | | 17 | "Quinn crouched beside the body," | | 18 | "She studied the skin —" | | 19 | "The body should have been" |
| | ratio | 0.825 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 97 | | matches | (empty) | | ratio | 0 | |
| 17.86% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 7 | | matches | | 0 | "The beam of her torch swept across cracked tile walls, graffiti from decades ago bleeding into something newer — symbols that didn't belong to any tagging crew …" | | 1 | "His face wore an expression she'd seen before, in photographs, in case files she kept in a drawer she never opened: the look of a man who'd seen something impos…" | | 2 | "Inside: a small brass compass, its face etched with markings that caught the torchlight and threw it back at angles that shouldn't have been possible." | | 3 | "The kind of pause that said Eva was choosing her next words with the care of someone handling old glass." | | 4 | "The needle stopped spinning and pointed — not north, not to any direction that made sense in the geography of the station." | | 5 | "The symbols around the body began to brighten, a sickly phosphorescent glow that painted the underside of Chen's face in shades of green and gold." | | 6 | "The compass needle swung wild in its casing, and from somewhere beneath the floor came a sound like a door opening in a place that had been sealed for centuries…" |
| |
| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice steady despite the ice moving through her chest" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.061 | | leniency | 0.122 | | rawRatio | 0 | | effectiveRatio | 0 | |