| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.448 | | leniency | 0.897 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 878 | | 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) | |
| 37.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 878 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "traced" | | 1 | "gleaming" | | 2 | "familiar" | | 3 | "perfect" | | 4 | "shattered" | | 5 | "silk" | | 6 | "navigating" | | 7 | "pulsed" | | 8 | "magnetic" | | 9 | "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 | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 877 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 56.40% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 641 | | uniqueNames | 10 | | maxNameDensity | 1.87 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Intact | 1 | | London | 1 | | Underground | 1 | | Eva | 5 | | Quinn | 12 | | Brixton | 1 | | Morris | 2 | | Glock | 1 | | Holloway | 2 |
| | persons | | 0 | "Underground" | | 1 | "Eva" | | 2 | "Quinn" | | 3 | "Morris" | | 4 | "Holloway" |
| | places | | | globalScore | 0.564 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.281 | | wordCount | 877 | | matches | | 0 | "not on the body but on the tunnel ceiling" | | 1 | "not seeking magnetic north, but pointing unerringly toward the tunnel mouth" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 31.32 | | std | 20.53 | | cv | 0.656 | | sampleLengths | | 0 | 5 | | 1 | 84 | | 2 | 30 | | 3 | 32 | | 4 | 3 | | 5 | 52 | | 6 | 70 | | 7 | 8 | | 8 | 46 | | 9 | 18 | | 10 | 52 | | 11 | 25 | | 12 | 14 | | 13 | 51 | | 14 | 3 | | 15 | 38 | | 16 | 17 | | 17 | 30 | | 18 | 63 | | 19 | 19 | | 20 | 48 | | 21 | 10 | | 22 | 24 | | 23 | 10 | | 24 | 38 | | 25 | 31 | | 26 | 27 | | 27 | 29 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 70 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 105 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 85 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 642 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.0264797507788162 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.012461059190031152 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 10.32 | | std | 7.12 | | cv | 0.69 | | sampleLengths | | 0 | 5 | | 1 | 26 | | 2 | 26 | | 3 | 15 | | 4 | 4 | | 5 | 13 | | 6 | 4 | | 7 | 11 | | 8 | 15 | | 9 | 11 | | 10 | 12 | | 11 | 9 | | 12 | 3 | | 13 | 13 | | 14 | 1 | | 15 | 3 | | 16 | 15 | | 17 | 20 | | 18 | 15 | | 19 | 9 | | 20 | 6 | | 21 | 20 | | 22 | 20 | | 23 | 8 | | 24 | 9 | | 25 | 17 | | 26 | 7 | | 27 | 13 | | 28 | 8 | | 29 | 10 | | 30 | 19 | | 31 | 17 | | 32 | 16 | | 33 | 17 | | 34 | 8 | | 35 | 14 | | 36 | 2 | | 37 | 35 | | 38 | 4 | | 39 | 1 | | 40 | 9 | | 41 | 3 | | 42 | 19 | | 43 | 7 | | 44 | 9 | | 45 | 1 | | 46 | 1 | | 47 | 1 | | 48 | 6 | | 49 | 11 |
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| 89.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5764705882352941 | | totalSentences | 85 | | uniqueOpeners | 49 | |
| 58.48% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 57 | | matches | | 0 | "Instead, the body remained pliant," |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 57 | | matches | | 0 | "It climbed the curved tiles" | | 1 | "She checked her watch, the" | | 2 | "He stood two metres back," | | 3 | "Her knees ached, military precision" | | 4 | "She ran her torch along" | | 5 | "It was fifteen degrees too" | | 6 | "She carried a worn leather" | | 7 | "Her green eyes, magnified by" | | 8 | "She pointed toward the victim's" | | 9 | "She knelt again, drawing a" | | 10 | "She'd found it in Morris's" |
| | ratio | 0.193 | |
| 65.26% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 57 | | matches | | 0 | "The blood had spattered upward." | | 1 | "Quinn crouched beside the third" | | 2 | "It climbed the curved tiles" | | 3 | "She checked her watch, the" | | 4 | "The station had supposedly died" | | 5 | "He stood two metres back," | | 6 | "Quinn didn't look up" | | 7 | "Her knees ached, military precision" | | 8 | "She ran her torch along" | | 9 | "Silk cravat undisturbed." | | 10 | "Patent shoes polished to a" | | 11 | "The air stank of copper" | | 12 | "It was fifteen degrees too" | | 13 | "The cold of abandoned London" | | 14 | "A shift in the peripheral" | | 15 | "A woman stood just beyond" | | 16 | "She carried a worn leather" | | 17 | "Quinn stood, her sharp jaw" | | 18 | "Eva tucked a stray curl" | | 19 | "Her green eyes, magnified by" |
| | ratio | 0.789 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 2 | | matches | | 0 | "Quinn crouched beside the third rail, ignoring the grime that transferred from the iron to her camel coat, and traced the arterial spray with her torch." | | 1 | "Patent shoes polished to a mirror sheen that reflected the tunnel's darkness back at her." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 4 | | matches | | 0 | "Quinn stood, her sharp jaw tightening" | | 1 | "Quinn stepped, her boots crunching on ballast" | | 2 | "Quinn stood, her hand drifting toward her sidearm" | | 3 | "Eva whispered, her hand reaching for Quinn's sleeve" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Eva whispered (whisper)" |
| | dialogueSentences | 29 | | tagDensity | 0.069 | | leniency | 0.138 | | rawRatio | 0.5 | | effectiveRatio | 0.069 | |