| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 47 | | tagDensity | 0.191 | | leniency | 0.383 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1361 | | totalAiIsmAdverbs | 1 | | 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) | |
| 59.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1361 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "flickered" | | 1 | "scanned" | | 2 | "shattered" | | 3 | "pulse" | | 4 | "etched" | | 5 | "glistening" | | 6 | "flicked" | | 7 | "stomach" | | 8 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "eyes widened" | | 1 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 107 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1353 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 987 | | uniqueNames | 10 | | maxNameDensity | 2.63 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 26 | | Camden | 1 | | Town | 1 | | Patel | 10 | | British | 1 | | Museum | 1 | | Morris | 1 | | Eva | 9 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Patel" | | 3 | "Museum" | | 4 | "Morris" | | 5 | "Eva" |
| | places | | | globalScore | 0.183 | | windowScore | 0 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like he’d decided to take a nap on" | | 1 | "looked like he’d seen something impossibl" | | 2 | "looked like blood" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.739 | | wordCount | 1353 | | matches | | 0 | "not in the stiff rigor of death, but like he’d been clutching something" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 145 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 64 | | mean | 21.14 | | std | 18.94 | | cv | 0.896 | | sampleLengths | | 0 | 80 | | 1 | 66 | | 2 | 2 | | 3 | 50 | | 4 | 51 | | 5 | 5 | | 6 | 25 | | 7 | 77 | | 8 | 6 | | 9 | 5 | | 10 | 28 | | 11 | 5 | | 12 | 19 | | 13 | 47 | | 14 | 29 | | 15 | 6 | | 16 | 4 | | 17 | 66 | | 18 | 48 | | 19 | 12 | | 20 | 14 | | 21 | 10 | | 22 | 1 | | 23 | 38 | | 24 | 52 | | 25 | 5 | | 26 | 11 | | 27 | 19 | | 28 | 7 | | 29 | 8 | | 30 | 22 | | 31 | 9 | | 32 | 48 | | 33 | 14 | | 34 | 37 | | 35 | 19 | | 36 | 3 | | 37 | 9 | | 38 | 6 | | 39 | 12 | | 40 | 34 | | 41 | 7 | | 42 | 14 | | 43 | 36 | | 44 | 14 | | 45 | 9 | | 46 | 8 | | 47 | 23 | | 48 | 13 | | 49 | 29 |
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| 92.15% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 107 | | matches | | 0 | "were curled" | | 1 | "was etched" | | 2 | "was stamped" | | 3 | "been found" |
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| 80.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 168 | | matches | | 0 | "was trying" | | 1 | "was waiting" | | 2 | "was waiting" |
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| 4.93% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 145 | | ratio | 0.048 | | matches | | 0 | "The air was thick with the hum of generators and the low murmur of forensics teams, but beneath it all, something else thrummed—a wrongness, like a finger dragged down a chalkboard." | | 1 | "The victim—a man in his thirties, dressed in a rumpled suit—lay face-up, his limbs splayed at unnatural angles." | | 2 | "She ignored the twinge in her bad hip—the one that acted up when it rained, or when she spent too long standing over a corpse." | | 3 | "The station was a relic—peeling paint, graffiti-scrawled walls, a ticket booth with its glass long shattered." | | 4 | "The face was etched with strange symbols—sigils, maybe, or some kind of arcane script." | | 5 | "The graffiti there was fresh—still glistening under the lights." | | 6 | "“No. But…” She trailed off, tucking a strand of hair behind her left ear—a nervous habit, Quinn noted." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 999 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.02902902902902903 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004004004004004004 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 9.33 | | std | 7.85 | | cv | 0.841 | | sampleLengths | | 0 | 26 | | 1 | 23 | | 2 | 31 | | 3 | 21 | | 4 | 16 | | 5 | 29 | | 6 | 2 | | 7 | 2 | | 8 | 21 | | 9 | 11 | | 10 | 16 | | 11 | 9 | | 12 | 18 | | 13 | 2 | | 14 | 3 | | 15 | 19 | | 16 | 5 | | 17 | 2 | | 18 | 23 | | 19 | 5 | | 20 | 25 | | 21 | 16 | | 22 | 17 | | 23 | 14 | | 24 | 6 | | 25 | 2 | | 26 | 3 | | 27 | 2 | | 28 | 19 | | 29 | 2 | | 30 | 5 | | 31 | 5 | | 32 | 5 | | 33 | 14 | | 34 | 3 | | 35 | 11 | | 36 | 16 | | 37 | 17 | | 38 | 3 | | 39 | 15 | | 40 | 11 | | 41 | 6 | | 42 | 4 | | 43 | 48 | | 44 | 2 | | 45 | 2 | | 46 | 14 | | 47 | 13 | | 48 | 11 | | 49 | 14 |
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| 45.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.30344827586206896 | | totalSentences | 145 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 89 | | matches | | 0 | "Just a man who looked" | | 1 | "Just a man who’d looked" | | 2 | "Right before his body had" | | 3 | "Somewhere in the shadows, something" |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 89 | | matches | | 0 | "She adjusted the worn leather" | | 1 | "He jerked his chin toward" | | 2 | "She ignored the twinge in" | | 3 | "His mouth was open, lips" | | 4 | "His eyes were wide, unblinking," | | 5 | "She stood, brushing dust from" | | 6 | "She stepped closer." | | 7 | "She knew this compass." | | 8 | "She’d seen one just like" | | 9 | "She picked up the compass," | | 10 | "She didn’t recognize them, but" | | 11 | "She slipped the compass into" | | 12 | "She was too busy staring" | | 13 | "She didn’t recognize the language," | | 14 | "They were deliberate." | | 15 | "Her radio crackled." | | 16 | "She unclipped it from her" | | 17 | "She clutched a worn leather" | | 18 | "She trailed off, tucking a" | | 19 | "She pulled the compass from" |
| | ratio | 0.292 | |
| 21.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 89 | | matches | | 0 | "The abandoned Tube station stank" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "The air was thick with" | | 3 | "She adjusted the worn leather" | | 4 | "The station’s overhead lights flickered," | | 5 | "Quinn had seen plenty of" | | 6 | "DS Patel stood near the" | | 7 | "He jerked his chin toward" | | 8 | "Quinn stepped closer, her gaze" | | 9 | "The victim—a man in his" | | 10 | "Quinn crouched, her knees popping." | | 11 | "She ignored the twinge in" | | 12 | "The victim’s skin was pale," | | 13 | "His mouth was open, lips" | | 14 | "His eyes were wide, unblinking," | | 15 | "The man’s fingers were curled" | | 16 | "Something that wasn’t there anymore." | | 17 | "Patel exhaled through his nose." | | 18 | "Quinn didn’t answer." | | 19 | "She stood, brushing dust from" |
| | ratio | 0.876 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 4 | | matches | | 0 | "The abandoned Tube station stank of damp concrete and rust, the kind of smell that clung to the back of your throat like a bad memory." | | 1 | "The station’s overhead lights flickered, casting long shadows that pooled in the corners like spilled ink." | | 2 | "The victim’s skin was pale, almost waxy, but it was his expression that caught her attention." | | 3 | "She clutched a worn leather satchel in her lap, her fingers digging into the straps like she was trying to anchor herself." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 47 | | tagDensity | 0.128 | | leniency | 0.255 | | rawRatio | 0 | | effectiveRatio | 0 | |