| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1509 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 60.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1509 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "synthetic" | | 1 | "standard" | | 2 | "footsteps" | | 3 | "weight" | | 4 | "etched" | | 5 | "crystal" | | 6 | "trembled" | | 7 | "magnetic" | | 8 | "rhythmic" | | 9 | "flickered" | | 10 | "stark" |
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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 | 80 | | matches | (empty) | |
| 89.29% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 80 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1506 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 40.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1003 | | uniqueNames | 14 | | maxNameDensity | 2.19 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Tube | 1 | | Harlow | 1 | | Quinn | 22 | | Northern | 1 | | Line | 1 | | Sergeant | 1 | | Miller | 7 | | Bovril | 1 | | West | 1 | | End | 1 | | Morris | 1 | | Smithfield | 1 | | Eva | 7 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Line" | | 3 | "Sergeant" | | 4 | "Miller" | | 5 | "Morris" | | 6 | "Eva" |
| | places | | 0 | "West" | | 1 | "End" | | 2 | "Smithfield" |
| | globalScore | 0.403 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.664 | | wordCount | 1506 | | matches | | 0 | "not of a body, but of a circle" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 30.12 | | std | 17.02 | | cv | 0.565 | | sampleLengths | | 0 | 47 | | 1 | 25 | | 2 | 31 | | 3 | 12 | | 4 | 59 | | 5 | 28 | | 6 | 17 | | 7 | 49 | | 8 | 3 | | 9 | 32 | | 10 | 41 | | 11 | 14 | | 12 | 15 | | 13 | 4 | | 14 | 50 | | 15 | 33 | | 16 | 41 | | 17 | 41 | | 18 | 25 | | 19 | 4 | | 20 | 17 | | 21 | 38 | | 22 | 29 | | 23 | 5 | | 24 | 15 | | 25 | 26 | | 26 | 53 | | 27 | 36 | | 28 | 20 | | 29 | 56 | | 30 | 21 | | 31 | 27 | | 32 | 53 | | 33 | 5 | | 34 | 40 | | 35 | 34 | | 36 | 52 | | 37 | 34 | | 38 | 54 | | 39 | 6 | | 40 | 29 | | 41 | 5 | | 42 | 57 | | 43 | 28 | | 44 | 28 | | 45 | 66 | | 46 | 23 | | 47 | 7 | | 48 | 22 | | 49 | 49 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 80 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 150 | | matches | (empty) | |
| 61.99% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 106 | | ratio | 0.028 | | matches | | 0 | "She stopped beside the chalk outline—not of a body, but of a circle." | | 1 | "The air near the tracks didn't just feel cold; it pulled at the fine hairs on her wrists, like the static off an old television tube." | | 2 | "As she shifted her weight, the iron sliver twitched, tracking the movement of her watch—no, tracking the bone token in her pocket." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1017 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.015732546705998034 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007866273352999017 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 14.21 | | std | 8.02 | | cv | 0.565 | | sampleLengths | | 0 | 14 | | 1 | 22 | | 2 | 10 | | 3 | 1 | | 4 | 20 | | 5 | 5 | | 6 | 20 | | 7 | 11 | | 8 | 12 | | 9 | 3 | | 10 | 20 | | 11 | 19 | | 12 | 17 | | 13 | 13 | | 14 | 15 | | 15 | 17 | | 16 | 11 | | 17 | 38 | | 18 | 3 | | 19 | 19 | | 20 | 13 | | 21 | 4 | | 22 | 16 | | 23 | 11 | | 24 | 6 | | 25 | 2 | | 26 | 2 | | 27 | 1 | | 28 | 13 | | 29 | 15 | | 30 | 4 | | 31 | 15 | | 32 | 12 | | 33 | 17 | | 34 | 5 | | 35 | 1 | | 36 | 11 | | 37 | 7 | | 38 | 15 | | 39 | 28 | | 40 | 7 | | 41 | 6 | | 42 | 12 | | 43 | 29 | | 44 | 7 | | 45 | 18 | | 46 | 4 | | 47 | 17 | | 48 | 16 | | 49 | 22 |
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| 86.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5428571428571428 | | totalSentences | 105 | | uniqueOpeners | 57 | |
| 45.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 73 | | matches | | 0 | "Instead, she reached beneath the" |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 73 | | matches | | 0 | "She checked the worn leather" | | 1 | "He gestured with his chin" | | 2 | "She squared her shoulders, moving" | | 3 | "She stopped beside the chalk" | | 4 | "She pinched the plastic, tilting" | | 5 | "She crouched, the knees of" | | 6 | "She dragged a nitrile-gloved finger" | | 7 | "It rolled under her fingertip," | | 8 | "It was a fabrication, a" | | 9 | "She ran a hand over" | | 10 | "She pushed a pair of" | | 11 | "She didn't look at the" | | 12 | "Her fingers closed around something" | | 13 | "It pointed straight down into" |
| | ratio | 0.192 | |
| 69.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 73 | | matches | | 0 | "Halogen work lights hummed against" | | 1 | "Detective Harlow Quinn ducked under" | | 2 | "She checked the worn leather" | | 3 | "Ozone, mixed with burnt sage." | | 4 | "Detective Sergeant Miller stood near" | | 5 | "He gestured with his chin" | | 6 | "Quinn didn't answer." | | 7 | "She squared her shoulders, moving" | | 8 | "Soot coated the vintage advertisements" | | 9 | "The tiles inside those rectangles" | | 10 | "She stopped beside the chalk" | | 11 | "Miller took a sip of" | | 12 | "Miller pulled a clear evidence" | | 13 | "Quinn took the bag." | | 14 | "She pinched the plastic, tilting" | | 15 | "Quinn's sharp jaw tightened" | | 16 | "Quinn pocketed the bone token" | | 17 | "She crouched, the knees of" | | 18 | "The floor directly beneath the" | | 19 | "She dragged a nitrile-gloved finger" |
| | ratio | 0.781 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 3 | | matches | | 0 | "She squared her shoulders, moving with the rigid posture of her military days, her brown eyes sweeping the tiled walls." | | 1 | "A figure in a white forensic boilersuit crouched near the edge of the pit, holding a digital camera that refused to flash." | | 2 | "Quinn pivoted, her hand dropping toward the baton at her hip before she registered the woman emerging from the shadows." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva stepped, her gaze sweeping the clean rectangles along the tiled wall" | | 1 | "Eva didn't, though her fingers returned to her left ear, twisting a red ringlet" |
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| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn snapped (snap)" | | 1 | "Eva murmured (murmur)" |
| | dialogueSentences | 36 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0.5 | | effectiveRatio | 0.111 | |