| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "She crouched again [again]" |
| | dialogueSentences | 42 | | tagDensity | 0.452 | | leniency | 0.905 | | rawRatio | 0.053 | | effectiveRatio | 0.048 | |
| 89.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1461 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "gently" | | 1 | "carefully" | | 2 | "very" |
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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) | |
| 86.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1461 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "standard" | | 1 | "traced" | | 2 | "warmth" |
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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 | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1479 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.79% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 859 | | uniqueNames | 6 | | maxNameDensity | 1.16 | | worstName | "Patel" | | maxWindowNameDensity | 2 | | worstWindowName | "Patel" | | discoveredNames | | Harlow | 1 | | Quinn | 8 | | Tuesday | 1 | | Northern | 1 | | Patel | 10 | | Harwood | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Patel" | | 3 | "Harwood" |
| | places | (empty) | | globalScore | 0.918 | | windowScore | 1 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like old copper and wet stone" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1479 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 36.07 | | std | 28.51 | | cv | 0.79 | | sampleLengths | | 0 | 99 | | 1 | 23 | | 2 | 10 | | 3 | 46 | | 4 | 58 | | 5 | 30 | | 6 | 18 | | 7 | 5 | | 8 | 62 | | 9 | 13 | | 10 | 82 | | 11 | 3 | | 12 | 13 | | 13 | 61 | | 14 | 7 | | 15 | 62 | | 16 | 7 | | 17 | 14 | | 18 | 10 | | 19 | 49 | | 20 | 67 | | 21 | 4 | | 22 | 14 | | 23 | 6 | | 24 | 34 | | 25 | 9 | | 26 | 77 | | 27 | 6 | | 28 | 94 | | 29 | 10 | | 30 | 74 | | 31 | 9 | | 32 | 63 | | 33 | 38 | | 34 | 47 | | 35 | 11 | | 36 | 30 | | 37 | 79 | | 38 | 25 | | 39 | 44 | | 40 | 66 |
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| 94.79% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 67 | | matches | | 0 | "was gone" | | 1 | "been drawn" | | 2 | "been scuffed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 135 | | matches | | 0 | "was looking" | | 1 | "was crumbling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 90 | | ratio | 0.089 | | matches | | 0 | "Camden had turned out an unremarkable Tuesday above — market stalls half-packed, a dog barking at a bicycle — but beneath it the tunnel opened into a platform she'd never logged, never mapped, never seen in any survey of the Northern line's abandoned sections." | | 1 | "The air changed as she reached the platform floor — thicker, warmer, carrying a sweetness underneath the copper that she couldn't place." | | 2 | "The dust on the platform was uneven — a fine layer of it everywhere except in a rough circle maybe a metre wide, centred on where Harwood's head would have been." | | 3 | "The tunnel curved gently to the left, and around the curve the brickwork changed — older, rougher, with patches of mortar that looked wet and fresh in places." | | 4 | "The angles were different — the first nearly horizontal, the second at maybe thirty degrees, the third steep." | | 5 | "\"No? Maybe your informants don't pay in bone.\" Quinn reached into her coat pocket and pulled out a small object she'd been carrying for months — a disc of yellowed bone the size of a two-pound coin, smooth on both sides, warm to the touch." | | 6 | "The dust stirred, and beneath it — just at the edge of the clean circle — she saw it." | | 7 | "This time she noticed something she hadn't seen on the first pass — between the second and third cut, half-hidden by a patch of old efflorescence, a symbol pressed into the mortar." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 855 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.03391812865497076 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007017543859649123 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 16.43 | | std | 13.12 | | cv | 0.799 | | sampleLengths | | 0 | 9 | | 1 | 46 | | 2 | 44 | | 3 | 23 | | 4 | 10 | | 5 | 38 | | 6 | 8 | | 7 | 5 | | 8 | 22 | | 9 | 31 | | 10 | 18 | | 11 | 12 | | 12 | 18 | | 13 | 5 | | 14 | 34 | | 15 | 28 | | 16 | 3 | | 17 | 10 | | 18 | 31 | | 19 | 1 | | 20 | 2 | | 21 | 48 | | 22 | 3 | | 23 | 6 | | 24 | 7 | | 25 | 28 | | 26 | 33 | | 27 | 3 | | 28 | 4 | | 29 | 8 | | 30 | 28 | | 31 | 26 | | 32 | 7 | | 33 | 4 | | 34 | 10 | | 35 | 10 | | 36 | 11 | | 37 | 33 | | 38 | 5 | | 39 | 5 | | 40 | 13 | | 41 | 5 | | 42 | 9 | | 43 | 18 | | 44 | 17 | | 45 | 3 | | 46 | 1 | | 47 | 14 | | 48 | 4 | | 49 | 2 |
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| 83.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5 | | totalSentences | 90 | | uniqueOpeners | 45 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 57 | | matches | | 0 | "Then a third set, higher." | | 1 | "Somewhere deep in the tunnel," |
| | ratio | 0.035 | |
| 58.60% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 57 | | matches | | 0 | "She followed Patel's light into" | | 1 | "She crouched beside the outline" | | 2 | "She was looking at the" | | 3 | "She moved her beam along" | | 4 | "She pointed with her chin" | | 5 | "He didn't say anything." | | 6 | "Her torch caught something on" | | 7 | "She traced it with a" | | 8 | "She angled her beam up" | | 9 | "She continued along the corridor." | | 10 | "She stood back and looked" | | 11 | "She kept her eyes on" | | 12 | "She held it up between" | | 13 | "She tucked the bone back" | | 14 | "She met his eyes" | | 15 | "She counted them off on" | | 16 | "She crouched again by the" | | 17 | "She lifted the edge of" | | 18 | "It curved around the outline" | | 19 | "He was quiet for a" |
| | ratio | 0.404 | |
| 3.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 57 | | matches | | 0 | "The stairs down from the" | | 1 | "Detective Harlow Quinn counted fourteen" | | 2 | "Camden had turned out an" | | 3 | "DS Patel waited at the" | | 4 | "Patel swung his lantern toward" | | 5 | "Quinn descended the last step." | | 6 | "The air changed as she" | | 7 | "She followed Patel's light into" | | 8 | "The body was gone, but" | | 9 | "She crouched beside the outline" | | 10 | "Patel pulled out his notebook," | | 11 | "Quinn didn't answer." | | 12 | "She was looking at the" | | 13 | "The dust on the platform" | | 14 | "She moved her beam along" | | 15 | "Patel stepped closer and looked" | | 16 | "She pointed with her chin" | | 17 | "Patel's jaw tightened." | | 18 | "He didn't say anything." | | 19 | "Quinn rose and walked further" |
| | ratio | 0.912 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 5 | | matches | | 0 | "Detective Harlow Quinn counted fourteen steps before the last one dropped away into black, and she stood on the lip of it with her torch beam cutting ahead thro…" | | 1 | "She followed Patel's light into the corridor and found the area taped off in blue-and-white chevrons, the floor swept with the kind of care that forensics reser…" | | 2 | "The tunnel curved gently to the left, and around the curve the brickwork changed — older, rougher, with patches of mortar that looked wet and fresh in places." | | 3 | "The mortar was crumbling in fine crumbs, but directly above the groove it was intact, undisturbed, as though whatever had made the cut had protected it from wha…" | | 4 | "A faint discoloration, darker than the surrounding brick, arranged in a line that continued under the tape." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 42 | | tagDensity | 0.095 | | leniency | 0.19 | | rawRatio | 0 | | effectiveRatio | 0 | |