| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.652 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1127 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "perfectly" | | 1 | "slowly" | | 2 | "slightly" | | 3 | "completely" |
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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) | |
| 42.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1127 | | totalAiIsms | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "carried the weight" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "chill" | | 1 | "weight" | | 2 | "echo" | | 3 | "gloom" | | 4 | "flickered" | | 5 | "carried the weight" | | 6 | "stomach" | | 7 | "scanned" | | 8 | "echoes" | | 9 | "silence" | | 10 | "vibrated" |
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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 | 148 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 148 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 154 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 19 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1127 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1021 | | uniqueNames | 8 | | maxNameDensity | 2.45 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | London | 2 | | Harlow | 1 | | Quinn | 25 | | Morris | 1 | | Low | 1 | | Echoes | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Echoes" |
| | places | | | globalScore | 0.276 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like wet earth and ash" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.887 | | wordCount | 1127 | | matches | | 0 | "not at the suspect, but at the ground" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 154 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 27.49 | | std | 15.66 | | cv | 0.57 | | sampleLengths | | 0 | 68 | | 1 | 33 | | 2 | 11 | | 3 | 52 | | 4 | 34 | | 5 | 49 | | 6 | 16 | | 7 | 47 | | 8 | 25 | | 9 | 16 | | 10 | 21 | | 11 | 15 | | 12 | 16 | | 13 | 28 | | 14 | 25 | | 15 | 26 | | 16 | 33 | | 17 | 17 | | 18 | 8 | | 19 | 45 | | 20 | 18 | | 21 | 16 | | 22 | 19 | | 23 | 50 | | 24 | 20 | | 25 | 24 | | 26 | 55 | | 27 | 16 | | 28 | 48 | | 29 | 8 | | 30 | 52 | | 31 | 25 | | 32 | 8 | | 33 | 43 | | 34 | 23 | | 35 | 22 | | 36 | 33 | | 37 | 7 | | 38 | 39 | | 39 | 10 | | 40 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 148 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 180 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 154 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1025 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavier, pressing against Quinn’s" |
| | adverbCount | 30 | | adverbRatio | 0.02926829268292683 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.00878048780487805 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 154 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 154 | | mean | 7.32 | | std | 3.88 | | cv | 0.53 | | sampleLengths | | 0 | 11 | | 1 | 12 | | 2 | 13 | | 3 | 13 | | 4 | 10 | | 5 | 9 | | 6 | 7 | | 7 | 2 | | 8 | 3 | | 9 | 10 | | 10 | 11 | | 11 | 3 | | 12 | 8 | | 13 | 5 | | 14 | 11 | | 15 | 10 | | 16 | 3 | | 17 | 11 | | 18 | 12 | | 19 | 9 | | 20 | 17 | | 21 | 1 | | 22 | 7 | | 23 | 10 | | 24 | 4 | | 25 | 8 | | 26 | 4 | | 27 | 10 | | 28 | 8 | | 29 | 5 | | 30 | 4 | | 31 | 3 | | 32 | 9 | | 33 | 3 | | 34 | 2 | | 35 | 6 | | 36 | 15 | | 37 | 5 | | 38 | 16 | | 39 | 6 | | 40 | 11 | | 41 | 8 | | 42 | 3 | | 43 | 6 | | 44 | 2 | | 45 | 5 | | 46 | 9 | | 47 | 6 | | 48 | 1 | | 49 | 5 |
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| 43.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3116883116883117 | | totalSentences | 154 | | uniqueOpeners | 48 | |
| 76.92% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 130 | | matches | | 0 | "Just sudden movement and a" | | 1 | "Just a rusted latch and" | | 2 | "Just brick and mortar smoothed" |
| | ratio | 0.023 | |
| 72.31% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 130 | | matches | | 0 | "Her breath fogged in the" | | 1 | "She checked the worn leather" | | 2 | "Her voice cut through the" | | 3 | "They dropped down a fire" | | 4 | "She didn’t stop for the" | | 5 | "She grabbed the railing, muscles" | | 6 | "It bore no signage." | | 7 | "She checked the perimeter." | | 8 | "She wasn’t sure if her" | | 9 | "They were never close enough." | | 10 | "She turned the handle." | | 11 | "It clicked loose." | | 12 | "She stepped onto the tiles." | | 13 | "They gleamed under the flickering" | | 14 | "She watched the suspect's left" | | 15 | "Her boots rang against the" | | 16 | "She pointed at the drop" | | 17 | "It wasn’t a friendly expression." | | 18 | "It carried the weight of" | | 19 | "She squeezed her jaw, the" |
| | ratio | 0.369 | |
| 6.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 118 | | totalSentences | 130 | | matches | | 0 | "Water hammered the tarmac of" | | 1 | "Detective Harlow Quinn kept her" | | 2 | "Rain plastered the closely cropped" | | 3 | "Her breath fogged in the" | | 4 | "She checked the worn leather" | | 5 | "The figure ahead darted between" | | 6 | "Quinn drew her service weapon," | | 7 | "Her voice cut through the" | | 8 | "The figure didn’t look back." | | 9 | "They dropped down a fire" | | 10 | "A heavy door slammed shut" | | 11 | "Quinn sprinted forward." | | 12 | "She didn’t stop for the" | | 13 | "She grabbed the railing, muscles" | | 14 | "The alley smelled of damp" | | 15 | "The suspect moved with a" | | 16 | "The person vanished into a" | | 17 | "Quinn reached the door at" | | 18 | "It bore no signage." | | 19 | "She checked the perimeter." |
| | ratio | 0.908 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 130 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 1 | | matches | | 0 | "The rain that had soaked her coat minutes ago stopped dripping from her hair." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "the suspect said, voice dropping an octave" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 4 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "Quinn ordered (order)" | | 2 | "Quinn shouted (shout)" | | 3 | "Quinn muttered (mutter)" |
| | dialogueSentences | 23 | | tagDensity | 0.435 | | leniency | 0.87 | | rawRatio | 0.4 | | effectiveRatio | 0.348 | |