| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 28 | | adverbTagCount | 6 | | adverbTags | | 0 | "He looked genuinely [genuinely]" | | 1 | "Quinn stated flatly [flatly]" | | 2 | "Eva Kowalski Aurora's childhood friend standing nervously [nervously]" | | 3 | "Quinn nodded curtly [curtly]" | | 4 | "She swallowed hard [hard]" | | 5 | "Quinn said grimly [grimly]" |
| | dialogueSentences | 55 | | tagDensity | 0.509 | | leniency | 1 | | rawRatio | 0.214 | | effectiveRatio | 0.214 | |
| 78.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1163 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "very" | | 1 | "quickly" | | 2 | "nervously" | | 3 | "slowly" |
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| 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) | |
| 22.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1163 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "echoing" | | 1 | "gloom" | | 2 | "shimmered" | | 3 | "stomach" | | 4 | "familiar" | | 5 | "spectral" | | 6 | "intricate" | | 7 | "whisper" | | 8 | "vibrated" | | 9 | "remarkable" | | 10 | "etched" | | 11 | "echoes" | | 12 | "furrowed" | | 13 | "echoed" |
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| 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 | 1 | | narrationSentences | 81 | | matches | | |
| 89.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1167 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 8.56% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 707 | | uniqueNames | 9 | | maxNameDensity | 2.83 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Sergeant | 1 | | Davies | 10 | | Quinn | 20 | | Veil | 1 | | Market | 1 | | London | 1 | | Eva | 6 | | Kowalski | 1 | | Aurora | 1 |
| | persons | | 0 | "Sergeant" | | 1 | "Davies" | | 2 | "Quinn" | | 3 | "Eva" | | 4 | "Kowalski" | | 5 | "Aurora" |
| | places | | | globalScore | 0.086 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1167 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 28.46 | | std | 17.3 | | cv | 0.608 | | sampleLengths | | 0 | 38 | | 1 | 65 | | 2 | 25 | | 3 | 40 | | 4 | 45 | | 5 | 6 | | 6 | 39 | | 7 | 8 | | 8 | 56 | | 9 | 6 | | 10 | 50 | | 11 | 40 | | 12 | 28 | | 13 | 31 | | 14 | 54 | | 15 | 28 | | 16 | 9 | | 17 | 41 | | 18 | 21 | | 19 | 51 | | 20 | 1 | | 21 | 13 | | 22 | 23 | | 23 | 18 | | 24 | 12 | | 25 | 41 | | 26 | 8 | | 27 | 20 | | 28 | 34 | | 29 | 53 | | 30 | 15 | | 31 | 50 | | 32 | 6 | | 33 | 46 | | 34 | 8 | | 35 | 12 | | 36 | 18 | | 37 | 21 | | 38 | 51 | | 39 | 13 | | 40 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 130 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 2 | | flaggedSentences | 7 | | totalSentences | 108 | | ratio | 0.065 | | matches | | 0 | "“The chitin was fresh.” Quinn didn’t need to announce herself; Sergeant Davies already knew she was there." | | 1 | "Its texture was wrong – too smooth, too…" | | 2 | "“The blood isn’t just splattered, it’s… applied. Like paint. And the symbols; they aren't traditional pentagrams.”" | | 3 | "“I’m thinking someone with a very specific skillset decided to stage a ritualistic murder.\" Her eyes locked on a peculiar detail – a fine, almost invisible network of copper wire woven through the graffiti a few feet from the body." | | 4 | "“Something tells me the ‘obvious’ cause of death is going to be a lot more complicated than we think.” Quinn walked over to a section of wall covered in frantic, looping script – more graffiti." | | 5 | "They were rare, intricate devices used to detect supernatural rifts – gateways to other realms." | | 6 | "\"I... I got a text,\" Eva stammered, tucking a strand of her curly red hair behind her ear - a nervous habit Quinn instantly recognized." |
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| 92.47% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 527 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 22 | | adverbRatio | 0.04174573055028463 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.013282732447817837 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 10.81 | | std | 7.19 | | cv | 0.665 | | sampleLengths | | 0 | 17 | | 1 | 15 | | 2 | 6 | | 3 | 13 | | 4 | 9 | | 5 | 7 | | 6 | 16 | | 7 | 8 | | 8 | 6 | | 9 | 6 | | 10 | 12 | | 11 | 13 | | 12 | 14 | | 13 | 13 | | 14 | 13 | | 15 | 6 | | 16 | 6 | | 17 | 3 | | 18 | 13 | | 19 | 8 | | 20 | 1 | | 21 | 8 | | 22 | 6 | | 23 | 12 | | 24 | 10 | | 25 | 1 | | 26 | 16 | | 27 | 2 | | 28 | 6 | | 29 | 35 | | 30 | 10 | | 31 | 11 | | 32 | 6 | | 33 | 40 | | 34 | 10 | | 35 | 7 | | 36 | 9 | | 37 | 3 | | 38 | 3 | | 39 | 4 | | 40 | 14 | | 41 | 13 | | 42 | 15 | | 43 | 5 | | 44 | 26 | | 45 | 35 | | 46 | 19 | | 47 | 18 | | 48 | 9 | | 49 | 1 |
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| 76.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.49074074074074076 | | totalSentences | 108 | | uniqueOpeners | 53 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 99.45% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 73 | | matches | | 0 | "He pointed a gloved hand" | | 1 | "He was a solid man," | | 2 | "They shimmered with an unnatural" | | 3 | "She plucked a piece from" | | 4 | "Its texture was wrong –" | | 5 | "He looked genuinely confused" | | 6 | "She tapped the fragment in" | | 7 | "Her eyes locked on a" | | 8 | "She fought back the familiar" | | 9 | "He paused, adding" | | 10 | "She ran a gloved finger" | | 11 | "It was a stylized compass," | | 12 | "She had seen or heard" | | 13 | "They were rare, intricate devices" | | 14 | "She was already moving toward" | | 15 | "She saw scorch marks on" | | 16 | "They always said that." | | 17 | "It was a bone token," | | 18 | "It was Eva Kowalski, Aurora's" | | 19 | "She clutched a worn leather" |
| | ratio | 0.301 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 73 | | matches | | 0 | "Quinn didn’t need to announce" | | 1 | "He pointed a gloved hand" | | 2 | "The abandoned tube station reeked" | | 3 | "The air hung thick and" | | 4 | "Graffiti clawed at the curved," | | 5 | "A flickering emergency light cast" | | 6 | "The usual crime scene tape" | | 7 | "Quinn asked, pulling on a" | | 8 | "The worn leather watch on" | | 9 | "Davies replied, not meeting her" | | 10 | "He was a solid man," | | 11 | "Quinn crouched, examining the chitinous" | | 12 | "They shimmered with an unnatural" | | 13 | "She plucked a piece from" | | 14 | "Its texture was wrong –" | | 15 | "He looked genuinely confused" | | 16 | "Quinn instructed, gesturing to the" | | 17 | "The blood had been meticulously" | | 18 | "Quinn rose to her feet," | | 19 | "She tapped the fragment in" |
| | ratio | 0.932 | |
| 68.49% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 73 | | matches | | 0 | "Before Eva could respond, a" |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 17.86% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 28 | | uselessAdditionCount | 6 | | matches | | 0 | "Davies replied, not meeting her gaze" | | 1 | "Quinn said, her voice tight" | | 2 | "Quinn repeated, her brow furrowed" | | 3 | "Eva said, her voice trembling" | | 4 | "Davies fumbled, his face pale with fear" | | 5 | "Quinn said grimly, her hand instinctively moving to her holster" |
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| 4.55% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 8 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Quinn ordered (order)" | | 2 | "Quinn stated flatly (state)" | | 3 | "she murmured (murmur)" | | 4 | "Quinn responded (respond)" | | 5 | "Eva stammered (stammer)" | | 6 | "Quinn repeated (repeat)" | | 7 | "Quinn stated (state)" |
| | dialogueSentences | 55 | | tagDensity | 0.255 | | leniency | 0.509 | | rawRatio | 0.571 | | effectiveRatio | 0.291 | |