| 78.79% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva said quickly [quickly]" | | 1 | "She gestured vaguely [vaguely]" |
| | dialogueSentences | 33 | | tagDensity | 0.485 | | leniency | 0.97 | | rawRatio | 0.125 | | effectiveRatio | 0.121 | |
| 77.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1544 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "truly" | | 1 | "utterly" | | 2 | "completely" | | 3 | "slightly" | | 4 | "quickly" | | 5 | "carefully" |
| |
| 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) | |
| 48.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1544 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "chill" | | 1 | "warmth" | | 2 | "silence" | | 3 | "stark" | | 4 | "intricate" | | 5 | "familiar" | | 6 | "symphony" | | 7 | "gloom" | | 8 | "trembled" | | 9 | "flicker" | | 10 | "weight" | | 11 | "etched" | | 12 | "fascinating" | | 13 | "shattered" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 115 | | matches | (empty) | |
| 93.17% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 115 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1540 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 57.41% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 58 | | wordCount | 1242 | | uniqueNames | 16 | | maxNameDensity | 1.85 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 23 | | Northern | 1 | | Line | 1 | | Tube | 1 | | Constable | 1 | | Fletcher | 7 | | Agnes | 1 | | Weasel | 1 | | Morris | 2 | | Hackney | 1 | | Vagal | 1 | | Inhibition | 1 | | Eva | 9 | | Kowalski | 3 | | Detective | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Constable" | | 3 | "Fletcher" | | 4 | "Agnes" | | 5 | "Morris" | | 6 | "Eva" | | 7 | "Kowalski" |
| | places | | | globalScore | 0.574 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 87 | | glossingSentenceCount | 10 | | matches | | 0 | "looked like a marketplace, hastily abando" | | 1 | "something like cloves and burnt sugar, layer" | | 2 | "looked like charcoal were looping, intric" | | 3 | "looked like the staging for a simple drug" | | 4 | "felt like walking into a film set an ho" | | 5 | "looked like a lost university student, ut" | | 6 | "looked like familiarity in them" | | 7 | "looked like rags" | | 8 | "as if searching for something it couldn’t find" | | 9 | "smelled like cloves and burnt sugar" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.649 | | wordCount | 1540 | | matches | | 0 | "not on Fletcher but on the platform itself" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 132 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 35.81 | | std | 23.57 | | cv | 0.658 | | sampleLengths | | 0 | 82 | | 1 | 69 | | 2 | 48 | | 3 | 66 | | 4 | 7 | | 5 | 29 | | 6 | 73 | | 7 | 41 | | 8 | 12 | | 9 | 13 | | 10 | 90 | | 11 | 71 | | 12 | 33 | | 13 | 59 | | 14 | 30 | | 15 | 14 | | 16 | 21 | | 17 | 19 | | 18 | 34 | | 19 | 43 | | 20 | 4 | | 21 | 31 | | 22 | 7 | | 23 | 12 | | 24 | 33 | | 25 | 11 | | 26 | 29 | | 27 | 58 | | 28 | 40 | | 29 | 84 | | 30 | 21 | | 31 | 59 | | 32 | 32 | | 33 | 7 | | 34 | 33 | | 35 | 13 | | 36 | 29 | | 37 | 18 | | 38 | 47 | | 39 | 62 | | 40 | 9 | | 41 | 14 | | 42 | 33 |
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| 96.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 115 | | matches | | 0 | "was taped" | | 1 | "was arranged" | | 2 | "was written" |
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| 12.21% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 213 | | matches | | 0 | "were looping" | | 1 | "wasn’t pointing" | | 2 | "wasn’t pointing" | | 3 | "was rotating" | | 4 | "was watching" | | 5 | "was finally beginning" |
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| 77.92% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 132 | | ratio | 0.023 | | matches | | 0 | "That feeling—a discordant note in the symphony of a crime scene—was one she hadn’t truly felt in three years." | | 1 | "She watched the nervous tic repeat—the tuck of hair behind the ear." | | 2 | "The curated lies had crumbled, and behind them was a truth Quinn could only begin to guess at—a truth of floating things in jars and sigils that hummed with a purpose she couldn't name." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1045 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.02966507177033493 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009569377990430622 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 11.67 | | std | 6.93 | | cv | 0.594 | | sampleLengths | | 0 | 21 | | 1 | 19 | | 2 | 17 | | 3 | 25 | | 4 | 25 | | 5 | 22 | | 6 | 22 | | 7 | 20 | | 8 | 28 | | 9 | 12 | | 10 | 6 | | 11 | 17 | | 12 | 7 | | 13 | 24 | | 14 | 7 | | 15 | 11 | | 16 | 18 | | 17 | 12 | | 18 | 15 | | 19 | 8 | | 20 | 7 | | 21 | 4 | | 22 | 16 | | 23 | 6 | | 24 | 3 | | 25 | 2 | | 26 | 5 | | 27 | 11 | | 28 | 21 | | 29 | 4 | | 30 | 12 | | 31 | 9 | | 32 | 4 | | 33 | 9 | | 34 | 7 | | 35 | 11 | | 36 | 9 | | 37 | 12 | | 38 | 3 | | 39 | 2 | | 40 | 21 | | 41 | 16 | | 42 | 19 | | 43 | 35 | | 44 | 8 | | 45 | 4 | | 46 | 5 | | 47 | 11 | | 48 | 14 | | 49 | 8 |
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| 59.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3939393939393939 | | totalSentences | 132 | | uniqueOpeners | 52 | |
| 30.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 111 | | matches | | 0 | "Then she turned and began" |
| | ratio | 0.009 | |
| 93.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 111 | | matches | | 0 | "It wasn’t just a disused" | | 1 | "It looked like a marketplace," | | 2 | "She lifted a corner of" | | 3 | "His face was a rictus" | | 4 | "She let the sheet fall." | | 5 | "Her gaze drifted from the" | | 6 | "They were elegant, deliberate." | | 7 | "she murmured, more to herself" | | 8 | "he said, right on cue" | | 9 | "It didn’t fit." | | 10 | "It felt like walking into" | | 11 | "Her worn leather watch felt" | | 12 | "He pointed with his pen" | | 13 | "She clutched the strap of" | | 14 | "She looked like a lost" | | 15 | "Her green eyes were wide" | | 16 | "she said, her voice crisp" | | 17 | "Her fingers trembled slightly." | | 18 | "She gestured vaguely at the" | | 19 | "She watched the nervous tic" |
| | ratio | 0.315 | |
| 23.06% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 111 | | matches | | 0 | "The air grew colder with" | | 1 | "Detective Harlow Quinn descended into" | | 2 | "Police-issue light bars cast the" | | 3 | "The scene was taped off," | | 4 | "Quinn ducked under the blue" | | 5 | "Detective Constable Fletcher, young and" | | 6 | "Quinn grunted, her eyes not" | | 7 | "It wasn’t just a disused" | | 8 | "The space was arranged into" | | 9 | "It looked like a marketplace," | | 10 | "A strange, sweet smell hung" | | 11 | "Quinn said, her voice flat" | | 12 | "Quinn walked towards the body," | | 13 | "The forensics officer, a stoic" | | 14 | "Quinn crouched, the fabric of" | | 15 | "She lifted a corner of" | | 16 | "Jimmy the Weasel, indeed." | | 17 | "His face was a rictus" | | 18 | "The wounds were vicious, clustered" | | 19 | "She let the sheet fall." |
| | ratio | 0.874 | |
| 45.05% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 111 | | matches | | | ratio | 0.009 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 2 | | matches | | 0 | "She watched the way Eva’s eyes refused to meet hers, darting around the strange marketplace instead, a flicker of something that looked like familiarity in them…" | | 1 | "It was rotating in a slow, lazy circle, as if searching for something it couldn’t find." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 5 | | matches | | 0 | "Quinn said, her voice flat" | | 1 | "she murmured, more to herself than to Fletcher" | | 2 | "she said, her voice crisp" | | 3 | "Eva said quickly, her words a little too rehearsed" | | 4 | "Quinn said, her voice low and dangerous" |
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| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 3 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "she whispered (whisper)" | | 2 | "Quinn pressed (press)" |
| | dialogueSentences | 33 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.273 | | effectiveRatio | 0.182 | |