| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 41.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1618 | | totalAiIsmAdverbs | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "suddenly" | | 1 | "quickly" | | 2 | "slightly" | | 3 | "sharply" | | 4 | "completely" | | 5 | "slowly" | | 6 | "softly" | | 7 | "lightly" | | 8 | "perfectly" | | 9 | "gently" | | 10 | "precisely" | | 11 | "deliberately" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1618 | | totalAiIsms | 44 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | | 26 | | | 27 | | | 28 | | | 29 | | | 30 | | | 31 | | | 32 | | | 33 | | | 34 | | | 35 | |
| | highlights | | 0 | "fractured" | | 1 | "etched" | | 2 | "echoed" | | 3 | "footsteps" | | 4 | "aligned" | | 5 | "perfect" | | 6 | "traced" | | 7 | "magnetic" | | 8 | "quickened" | | 9 | "silence" | | 10 | "flickered" | | 11 | "navigated" | | 12 | "pulse" | | 13 | "anticipation" | | 14 | "standard" | | 15 | "synchronized" | | 16 | "mechanical" | | 17 | "pulsed" | | 18 | "tension" | | 19 | "shimmered" | | 20 | "trembled" | | 21 | "complex" | | 22 | "rhythmic" | | 23 | "echoes" | | 24 | "vibrated" | | 25 | "crystal" | | 26 | "resolved" | | 27 | "structure" | | 28 | "pristine" | | 29 | "stomach" | | 30 | "churned" | | 31 | "resonated" | | 32 | "resonance" | | 33 | "weight" | | 34 | "absolutely" | | 35 | "fragmented" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 371 | | matches | | 0 | "d with frustration" | | 1 | "d with anticipation" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 371 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 371 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 10 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1618 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 3 | | matches | | 0 | "Slips leave scuff marks on trousers, Quinn said." | | 1 | "This market operates on schedule, Quinn murmured." | | 2 | "Behind her, Miller coughed sharply." |
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| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 1618 | | uniqueNames | 9 | | maxNameDensity | 1.24 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Miller | 12 | | Quinn | 20 | | Underground | 1 | | Harlow | 1 | | Victorian | 1 | | Camden | 1 | | Whitechapel | 2 | | London | 2 | | Metal | 3 |
| | persons | | 0 | "Miller" | | 1 | "Quinn" | | 2 | "Metal" |
| | places | | | globalScore | 0.882 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1618 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 371 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 43.73 | | std | 22.13 | | cv | 0.506 | | sampleLengths | | 0 | 58 | | 1 | 43 | | 2 | 32 | | 3 | 13 | | 4 | 12 | | 5 | 27 | | 6 | 21 | | 7 | 80 | | 8 | 78 | | 9 | 27 | | 10 | 50 | | 11 | 27 | | 12 | 14 | | 13 | 69 | | 14 | 23 | | 15 | 47 | | 16 | 53 | | 17 | 20 | | 18 | 51 | | 19 | 45 | | 20 | 15 | | 21 | 44 | | 22 | 21 | | 23 | 73 | | 24 | 68 | | 25 | 20 | | 26 | 57 | | 27 | 68 | | 28 | 49 | | 29 | 28 | | 30 | 14 | | 31 | 71 | | 32 | 90 | | 33 | 36 | | 34 | 65 | | 35 | 41 | | 36 | 68 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 371 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 377 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 371 | | ratio | 0 | | matches | (empty) | |
| 38.16% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1623 | | adjectiveStacks | 2 | | stackExamples | | 0 | "Impossible under normal conditions." | | 1 | "Liquid absorbed ambient heat." |
| | adverbCount | 111 | | adverbRatio | 0.06839186691312385 | | lyAdverbCount | 89 | | lyAdverbRatio | 0.05483672211953173 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 371 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 371 | | mean | 4.36 | | std | 1.83 | | cv | 0.419 | | sampleLengths | | 0 | 8 | | 1 | 5 | | 2 | 8 | | 3 | 10 | | 4 | 8 | | 5 | 5 | | 6 | 4 | | 7 | 6 | | 8 | 4 | | 9 | 4 | | 10 | 2 | | 11 | 7 | | 12 | 9 | | 13 | 6 | | 14 | 4 | | 15 | 3 | | 16 | 8 | | 17 | 5 | | 18 | 9 | | 19 | 4 | | 20 | 7 | | 21 | 7 | | 22 | 8 | | 23 | 5 | | 24 | 2 | | 25 | 5 | | 26 | 3 | | 27 | 2 | | 28 | 5 | | 29 | 3 | | 30 | 9 | | 31 | 7 | | 32 | 3 | | 33 | 2 | | 34 | 4 | | 35 | 6 | | 36 | 4 | | 37 | 5 | | 38 | 2 | | 39 | 5 | | 40 | 7 | | 41 | 9 | | 42 | 6 | | 43 | 6 | | 44 | 4 | | 45 | 7 | | 46 | 8 | | 47 | 6 | | 48 | 7 | | 49 | 5 |
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| 98.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.7978436657681941 | | totalSentences | 371 | | uniqueOpeners | 296 | |
| 41.80% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 319 | | matches | | 0 | "Somewhere below, water dripped into" | | 1 | "Then he bought supplies, Miller" | | 2 | "Just don't cross federal jurisdiction" | | 3 | "Only black pools remained." |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 319 | | matches | | 0 | "Her knees struck cold concrete." | | 1 | "His fingers curled around a" | | 2 | "It spun without stopping." | | 3 | "He gestured toward the track" | | 4 | "Your dead man was tracking" | | 5 | "He adjusted latex gloves." | | 6 | "She moved past the ticket" | | 7 | "She spotted a makeshift stall" | | 8 | "She lifted a leather-bound ledger" | | 9 | "He kept his distance." | | 10 | "We need to cordon this" | | 11 | "She traced the column with" | | 12 | "Our victim paid upfront." | | 13 | "She examined the compass needle." | | 14 | "It stopped suddenly." | | 15 | "She pressed the glass cover." | | 16 | "His breathing quickened." | | 17 | "She unfolded the paper." | | 18 | "They ignored structural collapse timing." | | 19 | "You build circumstantial cases on" |
| | ratio | 0.085 | |
| 88.53% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 237 | | totalSentences | 319 | | matches | | 0 | "Quinn dropped to one knee" | | 1 | "Her knees struck cold concrete." | | 2 | "The dead man wore a" | | 3 | "His fingers curled around a" | | 4 | "The casing displayed heavy verdigris." | | 5 | "The glass face cracked." | | 6 | "Quinn wiped grit from the" | | 7 | "It spun without stopping." | | 8 | "Boots crunched behind her." | | 9 | "The fluorescent vest reflected off" | | 10 | "Pathology confirmed blunt force trauma" | | 11 | "He gestured toward the track" | | 12 | "Looks like a slip." | | 13 | "Compass fell from his pocket" | | 14 | "Quinn stared at the device." | | 15 | "A genuine shade craft." | | 16 | "London street mugs dealt in" | | 17 | "This piece cost more than" | | 18 | "Slips leave scuff marks on" | | 19 | "This jacket shows zero abrasion." |
| | ratio | 0.743 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 319 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 4 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |