| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 97 | | tagDensity | 0.134 | | leniency | 0.268 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1556 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 90.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1556 | | totalAiIsms | 3 | | found | | 0 | | | 1 | | | 2 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "trembled" | | 1 | "perfect" | | 2 | "the last thing" |
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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 | 162 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 162 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 246 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1556 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 27.30% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 75 | | wordCount | 1141 | | uniqueNames | 10 | | maxNameDensity | 2.45 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 28 | | Sergeant | 1 | | Bell | 18 | | Camden | 1 | | Kowalski | 1 | | Eva | 15 | | Vale | 6 | | Morris | 3 | | Southwark | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Bell" | | 4 | "Kowalski" | | 5 | "Eva" | | 6 | "Vale" | | 7 | "Morris" |
| | places | | | globalScore | 0.273 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.643 | | wordCount | 1556 | | matches | | 0 | "not earth, but a depthless black threaded with pinpricks of blue light" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 246 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 173 | | mean | 8.99 | | std | 10.48 | | cv | 1.165 | | sampleLengths | | 0 | 5 | | 1 | 34 | | 2 | 5 | | 3 | 2 | | 4 | 8 | | 5 | 5 | | 6 | 60 | | 7 | 4 | | 8 | 42 | | 9 | 8 | | 10 | 25 | | 11 | 4 | | 12 | 11 | | 13 | 1 | | 14 | 1 | | 15 | 3 | | 16 | 7 | | 17 | 4 | | 18 | 49 | | 19 | 24 | | 20 | 13 | | 21 | 4 | | 22 | 2 | | 23 | 41 | | 24 | 2 | | 25 | 27 | | 26 | 8 | | 27 | 7 | | 28 | 6 | | 29 | 1 | | 30 | 4 | | 31 | 3 | | 32 | 6 | | 33 | 4 | | 34 | 12 | | 35 | 9 | | 36 | 5 | | 37 | 2 | | 38 | 4 | | 39 | 21 | | 40 | 6 | | 41 | 4 | | 42 | 5 | | 43 | 3 | | 44 | 3 | | 45 | 2 | | 46 | 5 | | 47 | 4 | | 48 | 10 | | 49 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 162 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 211 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 246 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1147 | | adjectiveStacks | 1 | | stackExamples | | 0 | "strange three-toed impressions." |
| | adverbCount | 16 | | adverbRatio | 0.013949433304272014 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0017436791630340018 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 246 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 246 | | mean | 6.33 | | std | 4.47 | | cv | 0.707 | | sampleLengths | | 0 | 5 | | 1 | 17 | | 2 | 17 | | 3 | 5 | | 4 | 2 | | 5 | 3 | | 6 | 5 | | 7 | 5 | | 8 | 7 | | 9 | 19 | | 10 | 6 | | 11 | 14 | | 12 | 14 | | 13 | 4 | | 14 | 15 | | 15 | 9 | | 16 | 5 | | 17 | 4 | | 18 | 9 | | 19 | 8 | | 20 | 5 | | 21 | 20 | | 22 | 4 | | 23 | 7 | | 24 | 4 | | 25 | 1 | | 26 | 1 | | 27 | 3 | | 28 | 2 | | 29 | 5 | | 30 | 4 | | 31 | 5 | | 32 | 12 | | 33 | 14 | | 34 | 5 | | 35 | 8 | | 36 | 5 | | 37 | 6 | | 38 | 18 | | 39 | 13 | | 40 | 4 | | 41 | 2 | | 42 | 7 | | 43 | 16 | | 44 | 8 | | 45 | 10 | | 46 | 2 | | 47 | 4 | | 48 | 23 | | 49 | 8 |
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| 50.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.33739837398373984 | | totalSentences | 246 | | uniqueOpeners | 83 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 135 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 135 | | matches | | 0 | "Their flames burned green." | | 1 | "She crouched without touching anything." | | 2 | "They formed no sensible pattern." | | 3 | "His constable moved in with" | | 4 | "She had seen it in" | | 5 | "Its metal had a dull," | | 6 | "He wore disposable overshoes, but" | | 7 | "She moved towards the corpse." | | 8 | "He had no answer." | | 9 | "It ran to the platform’s" | | 10 | "She glanced towards the corpse." | | 11 | "She knelt at the chalk" | | 12 | "His face emptied." | | 13 | "He stared at the radio." | | 14 | "His elbow jerked, scraping the" | | 15 | "It stretched across the tiles," | | 16 | "His face remained hidden beneath" |
| | ratio | 0.126 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 120 | | totalSentences | 135 | | matches | | 0 | "Detective Harlow Quinn stopped with" | | 1 | "Bell glanced down." | | 2 | "Quinn lowered her foot onto" | | 3 | "The abandoned station stretched beneath" | | 4 | "A dead escalator climbed into" | | 5 | "The rails had vanished beneath" | | 6 | "Someone had strung lamps along" | | 7 | "Their flames burned green." | | 8 | "The corpse lay beside the" | | 9 | "A dark coat spread around" | | 10 | "Bell drew a small notebook" | | 11 | "Quinn looked at him." | | 12 | "Bell tapped his notebook with" | | 13 | "She crouched without touching anything." | | 14 | "The platform carried a thin" | | 15 | "Footprints crowded the tiles, some" | | 16 | "They formed no sensible pattern." | | 17 | "Several trails approached the body," | | 18 | "None crossed the yellow line." | | 19 | "The victim’s right hand rested" |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 135 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 1 | | matches | | 0 | "The skin along his neck stretched as though invisible hands had hooked beneath it." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 97 | | tagDensity | 0.134 | | leniency | 0.268 | | rawRatio | 0.077 | | effectiveRatio | 0.021 | |