| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 722 | | 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) | |
| 23.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 722 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "maw" | | 1 | "shattered" | | 2 | "weight" | | 3 | "vibrated" | | 4 | "gleaming" | | 5 | "trembled" | | 6 | "flicked" | | 7 | "etched" | | 8 | "shimmered" | | 9 | "pulse" | | 10 | "whisper" |
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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 | 49 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 49 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 64 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 717 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 20.78% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 503 | | uniqueNames | 9 | | maxNameDensity | 2.58 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Veil | 3 | | Market | 2 | | Camden | 1 | | Tube | 1 | | Quinn | 13 | | Davies | 5 | | Compass | 4 | | Kowalski | 1 | | Eva | 7 |
| | persons | | 0 | "Market" | | 1 | "Camden" | | 2 | "Quinn" | | 3 | "Davies" | | 4 | "Kowalski" | | 5 | "Eva" |
| | places | (empty) | | globalScore | 0.208 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 60.53% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.395 | | wordCount | 717 | | matches | | 0 | "not at the station’s exit, but at the far wall" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 29.88 | | std | 17.76 | | cv | 0.595 | | sampleLengths | | 0 | 77 | | 1 | 53 | | 2 | 43 | | 3 | 31 | | 4 | 44 | | 5 | 9 | | 6 | 24 | | 7 | 64 | | 8 | 12 | | 9 | 17 | | 10 | 40 | | 11 | 20 | | 12 | 12 | | 13 | 26 | | 14 | 13 | | 15 | 29 | | 16 | 29 | | 17 | 18 | | 18 | 10 | | 19 | 35 | | 20 | 42 | | 21 | 18 | | 22 | 8 | | 23 | 43 |
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| 98.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 49 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 80 | | matches | | |
| 53.57% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 64 | | ratio | 0.031 | | matches | | 0 | "Detective Quinn’s boots crunched over the broken glass of a shattered ticket booth, the scent of damp earth and something metallic—copper, maybe—clinging to the air like a warning." | | 1 | "The Veil Compass in her satchel—her only link to the supernatural—lay open on the ground, its brass casing gleaming dully in the dim light." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 507 | | adjectiveStacks | 1 | | stackExamples | | 0 | "last known resting spot." |
| | adverbCount | 14 | | adverbRatio | 0.027613412228796843 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.005917159763313609 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 64 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 64 | | mean | 11.2 | | std | 6.98 | | cv | 0.623 | | sampleLengths | | 0 | 30 | | 1 | 28 | | 2 | 19 | | 3 | 21 | | 4 | 17 | | 5 | 15 | | 6 | 3 | | 7 | 13 | | 8 | 15 | | 9 | 4 | | 10 | 3 | | 11 | 5 | | 12 | 11 | | 13 | 20 | | 14 | 3 | | 15 | 8 | | 16 | 19 | | 17 | 14 | | 18 | 9 | | 19 | 12 | | 20 | 12 | | 21 | 16 | | 22 | 24 | | 23 | 21 | | 24 | 3 | | 25 | 12 | | 26 | 3 | | 27 | 14 | | 28 | 20 | | 29 | 18 | | 30 | 2 | | 31 | 12 | | 32 | 8 | | 33 | 3 | | 34 | 9 | | 35 | 10 | | 36 | 16 | | 37 | 2 | | 38 | 11 | | 39 | 8 | | 40 | 21 | | 41 | 14 | | 42 | 9 | | 43 | 6 | | 44 | 3 | | 45 | 15 | | 46 | 8 | | 47 | 2 | | 48 | 14 | | 49 | 21 |
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| 48.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3125 | | totalSentences | 64 | | uniqueOpeners | 20 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 5 | | totalSentences | 47 | | matches | | 0 | "His voice was sharp, the" | | 1 | "She knelt, fingers brushing the" | | 2 | "It shifted with the tides" | | 3 | "It sold them." | | 4 | "It was a trap." |
| | ratio | 0.106 | |
| 23.83% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 47 | | matches | | 0 | "The Veil Market’s entrance yawned" | | 1 | "Detective Quinn’s boots crunched over" | | 2 | "The bone token in her" | | 3 | "DS Davies leaned against the" | | 4 | "His voice was sharp, the" | | 5 | "Quinn didn’t answer." | | 6 | "She knelt, fingers brushing the" | | 7 | "The skin was gone now," | | 8 | "Something else had taken her." | | 9 | "Davies said, stepping closer" | | 10 | "Quinn’s fingers twitched." | | 11 | "The Veil Market didn’t stay" | | 12 | "It shifted with the tides" | | 13 | "Quinn asked, voice low" | | 14 | "Davies exhaled through his nose," | | 15 | "A low hum vibrated through" | | 16 | "The Veil Compass in her" | | 17 | "The needle had settled, pointing" | | 18 | "Something was watching." | | 19 | "a voice whispered from the" |
| | ratio | 0.872 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 1 | | matches | | 0 | "A low hum vibrated through the station, the kind of sound that made Quinn’s skin prickle." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn asked, voice low" | | 1 | "Eva said, voice steady despite the way her fingers trembled" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "a voice whispered (whisper)" |
| | dialogueSentences | 21 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 0.2 | | effectiveRatio | 0.095 | |