| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1271 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "reluctantly" | | count | 1 |
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| | highlights | | 0 | "sharply" | | 1 | "quickly" | | 2 | "very" | | 3 | "reluctantly" |
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| 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) | |
| 37.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1271 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "electric" | | 2 | "scanned" | | 3 | "weight" | | 4 | "silence" | | 5 | "cacophony" | | 6 | "velvet" | | 7 | "shimmered" | | 8 | "echoing" | | 9 | "shattered" | | 10 | "raced" | | 11 | "grave" |
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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 | 0 | | narrationSentences | 105 | | matches | (empty) | |
| 88.44% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 105 | | 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 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1271 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.62% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1170 | | uniqueNames | 11 | | maxNameDensity | 1.37 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 16 | | Soho | 1 | | Camden | 2 | | Tube | 1 | | Met | 1 | | Veil | 1 | | Market | 1 | | Morris | 2 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Saint" | | 4 | "Christopher" |
| | places | | 0 | "Soho" | | 1 | "Camden" | | 2 | "Market" |
| | globalScore | 0.816 | | windowScore | 1 | |
| 55.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like sliding into a colder, darker" | | 1 | "lamps that seemed to breathe" | | 2 | "felt like a toy" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.787 | | wordCount | 1271 | | matches | | 0 | "Not a scream of pain, but of sudden, absolute terror" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 23.11 | | std | 13.4 | | cv | 0.58 | | sampleLengths | | 0 | 3 | | 1 | 42 | | 2 | 46 | | 3 | 27 | | 4 | 34 | | 5 | 3 | | 6 | 27 | | 7 | 31 | | 8 | 33 | | 9 | 16 | | 10 | 40 | | 11 | 29 | | 12 | 31 | | 13 | 14 | | 14 | 47 | | 15 | 3 | | 16 | 32 | | 17 | 48 | | 18 | 5 | | 19 | 40 | | 20 | 15 | | 21 | 4 | | 22 | 32 | | 23 | 6 | | 24 | 42 | | 25 | 6 | | 26 | 34 | | 27 | 56 | | 28 | 27 | | 29 | 8 | | 30 | 30 | | 31 | 12 | | 32 | 30 | | 33 | 15 | | 34 | 7 | | 35 | 24 | | 36 | 5 | | 37 | 28 | | 38 | 24 | | 39 | 29 | | 40 | 22 | | 41 | 13 | | 42 | 31 | | 43 | 10 | | 44 | 4 | | 45 | 22 | | 46 | 7 | | 47 | 28 | | 48 | 16 | | 49 | 25 |
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| 98.58% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 105 | | matches | | 0 | "was panicked" | | 1 | "was gone" |
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| 98.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 197 | | matches | | 0 | "wasn't running" | | 1 | "was walking" | | 2 | "was pleading" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 115 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1174 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.019591141396933562 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.007666098807495741 | |
| 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 | 11.05 | | std | 6.58 | | cv | 0.595 | | sampleLengths | | 0 | 3 | | 1 | 19 | | 2 | 4 | | 3 | 19 | | 4 | 4 | | 5 | 15 | | 6 | 15 | | 7 | 12 | | 8 | 8 | | 9 | 8 | | 10 | 11 | | 11 | 7 | | 12 | 4 | | 13 | 11 | | 14 | 12 | | 15 | 3 | | 16 | 6 | | 17 | 9 | | 18 | 12 | | 19 | 14 | | 20 | 1 | | 21 | 16 | | 22 | 4 | | 23 | 16 | | 24 | 6 | | 25 | 7 | | 26 | 16 | | 27 | 15 | | 28 | 15 | | 29 | 10 | | 30 | 10 | | 31 | 4 | | 32 | 15 | | 33 | 4 | | 34 | 11 | | 35 | 16 | | 36 | 3 | | 37 | 11 | | 38 | 14 | | 39 | 8 | | 40 | 7 | | 41 | 18 | | 42 | 3 | | 43 | 5 | | 44 | 8 | | 45 | 19 | | 46 | 4 | | 47 | 28 | | 48 | 16 | | 49 | 5 |
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| 31.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.2956521739130435 | | totalSentences | 115 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 63.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 102 | | matches | | 0 | "He vaulted over a stack" | | 1 | "She breathed, a rhythmic, controlled" | | 2 | "She maintained the distance, her" | | 3 | "He was fast, but he" | | 4 | "He skidded on a patch" | | 5 | "He recovered quickly, but the" | | 6 | "She was ten feet away" | | 7 | "She could see the fraying" | | 8 | "He reached a heavy steel" | | 9 | "She rattled the handle, the" | | 10 | "She scanned the alley." | | 11 | "She climbed, her movements precise," | | 12 | "She reached the roof and" | | 13 | "She spotted him again near" | | 14 | "He wasn't running anymore." | | 15 | "He was walking, his posture" | | 16 | "She stepped behind a soot-stained" | | 17 | "He stopped at the mouth" | | 18 | "He looked back." | | 19 | "He pressed it against a" |
| | ratio | 0.392 | |
| 9.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 102 | | matches | | 0 | "Detective Harlow Quinn lunged forward," | | 1 | "The suspect didn't stop." | | 2 | "He vaulted over a stack" | | 3 | "Quinn didn't scream again." | | 4 | "She breathed, a rhythmic, controlled" | | 5 | "She maintained the distance, her" | | 6 | "Rain blurred the world into" | | 7 | "The suspect veered sharply into" | | 8 | "Quinn followed, her shoulder clipping" | | 9 | "The scent of damp cardboard" | | 10 | "He was fast, but he" | | 11 | "He skidded on a patch" | | 12 | "He recovered quickly, but the" | | 13 | "She was ten feet away" | | 14 | "She could see the fraying" | | 15 | "He reached a heavy steel" | | 16 | "Quinn slammed into the door," | | 17 | "She rattled the handle, the" | | 18 | "She scanned the alley." | | 19 | "A fire escape clung to" |
| | ratio | 0.902 | |
| 49.02% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 102 | | matches | | 0 | "Yet, as the bone touched" |
| | ratio | 0.01 | |
| 30.08% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 9 | | matches | | 0 | "Detective Harlow Quinn lunged forward, her boots splashing through a deep puddle that mirrored the neon filth of Soho." | | 1 | "She breathed, a rhythmic, controlled cadence that kept her heart from hammering against her ribs." | | 2 | "He had vanished into a shadow that shouldn't have existed, leaving behind nothing but a blood-stained notebook and a void in Quinn's life that no promotion coul…" | | 3 | "The descent was a winding spiral of damp stone and flickering gas lamps that seemed to breathe." | | 4 | "Some had skin the color of bruised plums, others possessed eyes that glowed with a soft, bioluminescent gold." | | 5 | "They sold things that defied logic: jars of captured screams, silver needles that could stitch a shadow back to its owner, and vials of iridescent liquids that …" | | 6 | "Olive skin, short curly dark brown hair, and a Saint Christopher medallion that caught the dim light." | | 7 | "Quinn pushed past him, her shoulder hitting a vendor selling dried tongues." | | 8 | "The hood shifted, revealing a face that had no eyes, only two smooth patches of pale skin." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn demanded, her voice echoing in the vaulted space" | | 1 | "the creature hissed, the sound like dry leaves scraping on a grave" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn demanded (demand)" | | 1 | "the creature hissed (hiss)" |
| | dialogueSentences | 12 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 1 | | effectiveRatio | 0.333 | |