| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.393 | | leniency | 0.786 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1216 | | totalAiIsmAdverbs | 2 | | 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) | |
| 50.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1216 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "gloom" | | 1 | "rhythmic" | | 2 | "echoing" | | 3 | "measured" | | 4 | "silk" | | 5 | "weight" | | 6 | "scanning" | | 7 | "pristine" | | 8 | "perfect" | | 9 | "etched" | | 10 | "footsteps" |
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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 | 76 | | matches | (empty) | |
| 86.47% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | 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 | 1215 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 936 | | uniqueNames | 10 | | maxNameDensity | 1.6 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 15 | | Camden | 2 | | Detective | 1 | | Sergeant | 1 | | Miller | 14 | | North | 1 | | South | 1 | | East | 1 | | West | 1 | | Victorian | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Sergeant" | | 2 | "Miller" |
| | places | (empty) | | globalScore | 0.699 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1215 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 26.41 | | std | 15.18 | | cv | 0.575 | | sampleLengths | | 0 | 47 | | 1 | 9 | | 2 | 39 | | 3 | 14 | | 4 | 39 | | 5 | 2 | | 6 | 44 | | 7 | 45 | | 8 | 8 | | 9 | 34 | | 10 | 34 | | 11 | 5 | | 12 | 22 | | 13 | 39 | | 14 | 9 | | 15 | 9 | | 16 | 29 | | 17 | 22 | | 18 | 35 | | 19 | 9 | | 20 | 22 | | 21 | 7 | | 22 | 31 | | 23 | 13 | | 24 | 38 | | 25 | 22 | | 26 | 52 | | 27 | 9 | | 28 | 33 | | 29 | 50 | | 30 | 19 | | 31 | 26 | | 32 | 54 | | 33 | 13 | | 34 | 17 | | 35 | 17 | | 36 | 2 | | 37 | 39 | | 38 | 47 | | 39 | 41 | | 40 | 20 | | 41 | 10 | | 42 | 27 | | 43 | 22 | | 44 | 54 | | 45 | 36 |
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| 96.03% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 76 | | matches | | 0 | "were blackened" | | 1 | "were etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 147 | | matches | | |
| 81.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 93 | | ratio | 0.022 | | matches | | 0 | "The air grew progressively warmer, the scent of damp coal giving way to a strange, dry fragrance—clove, copper, and burned lavender." | | 1 | "It didn't ring like steel; it gave a dull, heavy clink." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 944 | | adjectiveStacks | 1 | | stackExamples | | 0 | "thick, greenish-blue patina" |
| | adverbCount | 22 | | adverbRatio | 0.023305084745762712 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009533898305084746 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 13.06 | | std | 7.16 | | cv | 0.548 | | sampleLengths | | 0 | 3 | | 1 | 12 | | 2 | 13 | | 3 | 19 | | 4 | 9 | | 5 | 22 | | 6 | 17 | | 7 | 14 | | 8 | 5 | | 9 | 19 | | 10 | 10 | | 11 | 5 | | 12 | 2 | | 13 | 12 | | 14 | 17 | | 15 | 15 | | 16 | 18 | | 17 | 9 | | 18 | 18 | | 19 | 8 | | 20 | 34 | | 21 | 5 | | 22 | 21 | | 23 | 8 | | 24 | 5 | | 25 | 13 | | 26 | 9 | | 27 | 18 | | 28 | 9 | | 29 | 12 | | 30 | 9 | | 31 | 9 | | 32 | 5 | | 33 | 24 | | 34 | 17 | | 35 | 5 | | 36 | 11 | | 37 | 24 | | 38 | 9 | | 39 | 6 | | 40 | 16 | | 41 | 7 | | 42 | 12 | | 43 | 14 | | 44 | 5 | | 45 | 6 | | 46 | 7 | | 47 | 13 | | 48 | 8 | | 49 | 17 |
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| 70.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4731182795698925 | | totalSentences | 93 | | uniqueOpeners | 44 | |
| 45.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 73 | | matches | | 0 | "Instead, deep, angular sigils were" |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 73 | | matches | | 0 | "Her gloved hand gripped the" | | 1 | "He tapped a plastic pen" | | 2 | "She adjusted the collar of" | | 3 | "She checked the worn leather" | | 4 | "He led her past a" | | 5 | "His head slumped toward his" | | 6 | "Her sharp jaw set as" | | 7 | "His heavy boots left deep," | | 8 | "She shone her own torch" | | 9 | "She reached down, lifting one" | | 10 | "She walked past the body," | | 11 | "Her salt-and-pepper hair stirred in" | | 12 | "Her boot struck something metallic" | | 13 | "It didn't ring like steel;" | | 14 | "She knelt again, her fingers" | | 15 | "She lifted it into the" | | 16 | "It was a brass compass," | | 17 | "She turned her back to" | | 18 | "She glanced at her watch" | | 19 | "She walked back toward the" |
| | ratio | 0.274 | |
| 42.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 73 | | matches | | 0 | "Harlow Quinn descended into the" | | 1 | "Her gloved hand gripped the" | | 2 | "The air tasted of dead" | | 3 | "He tapped a plastic pen" | | 4 | "Quinn stepped onto the platform." | | 5 | "She adjusted the collar of" | | 6 | "She checked the worn leather" | | 7 | "Miller turned, his torch beam" | | 8 | "He led her past a" | | 9 | "Halfway into the tunnel mouth," | | 10 | "The victim was a young" | | 11 | "The expensive fabric looked absurd" | | 12 | "His head slumped toward his" | | 13 | "Miller pointed the beam at" | | 14 | "Quinn knelt in the gravel." | | 15 | "The damp cold of the" | | 16 | "Her sharp jaw set as" | | 17 | "Miller stepped closer, his boots" | | 18 | "Quinn pulled a pair of" | | 19 | "The fabric was stiff, but" |
| | ratio | 0.836 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 3 | | matches | | 0 | "Her salt-and-pepper hair stirred in a draft that shouldn't exist in a sealed tunnel." | | 1 | "Quinn closed her hand over the compass, her fingers absorbing the unnatural heat radiating from the brass." | | 2 | "Quinn stood over the dead youth, her hand resting on the pocket containing the warm brass weight." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 5 | | matches | | 0 | "Miller stepped, his boots crunching on the loose stone" | | 1 | "Miller shifted, his leather jacket creaking" | | 2 | "Miller crossed, his pen tapping his clipboard again" | | 3 | "Miller's footsteps hurried, his boots kicking up clouds of soot" | | 4 | "Quinn said, her voice dropping to a low, cold register" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn murmured (murmur)" |
| | dialogueSentences | 28 | | tagDensity | 0.179 | | leniency | 0.357 | | rawRatio | 0.2 | | effectiveRatio | 0.071 | |