| 13.95% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 4 | | adverbTags | | 0 | "DS Morris stood just [just]" | | 1 | "She nudged aside [aside]" | | 2 | "Her voice lowered like [like]" | | 3 | "Evelyn whispered suddenly [suddenly]" |
| | dialogueSentences | 43 | | tagDensity | 0.326 | | leniency | 0.651 | | rawRatio | 0.286 | | effectiveRatio | 0.186 | |
| 71.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 869 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "sharply" | | 2 | "suddenly" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 869 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "marble" | | 1 | "jaw clenched" | | 2 | "scanned" | | 3 | "chaotic" | | 4 | "echo" | | 5 | "silence" | | 6 | "weight" | | 7 | "perfect" | | 8 | "furrowed" | | 9 | "etched" | | 10 | "quivered" | | 11 | "echoed" | | 12 | "trembled" | | 13 | "tension" | | 14 | "gloom" | | 15 | "flickered" | | 16 | "whisper" | | 17 | "depths" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 54 | | matches | (empty) | |
| 89.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 54 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 858 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 510 | | uniqueNames | 8 | | maxNameDensity | 3.92 | | worstName | "Quinn" | | maxWindowNameDensity | 6 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 20 | | London | 1 | | Morris | 13 | | Evelyn | 3 | | Leary | 3 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Evelyn" | | 4 | "Leary" | | 5 | "Market" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 83.45% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.166 | | wordCount | 858 | | matches | | 0 | "Not a witch, but a Shade’s handiwork" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 17.16 | | std | 12.61 | | cv | 0.735 | | sampleLengths | | 0 | 73 | | 1 | 41 | | 2 | 24 | | 3 | 20 | | 4 | 19 | | 5 | 5 | | 6 | 22 | | 7 | 19 | | 8 | 6 | | 9 | 13 | | 10 | 14 | | 11 | 39 | | 12 | 20 | | 13 | 6 | | 14 | 21 | | 15 | 48 | | 16 | 24 | | 17 | 18 | | 18 | 12 | | 19 | 30 | | 20 | 13 | | 21 | 6 | | 22 | 21 | | 23 | 13 | | 24 | 14 | | 25 | 26 | | 26 | 20 | | 27 | 14 | | 28 | 8 | | 29 | 3 | | 30 | 17 | | 31 | 9 | | 32 | 14 | | 33 | 10 | | 34 | 12 | | 35 | 6 | | 36 | 14 | | 37 | 8 | | 38 | 12 | | 39 | 6 | | 40 | 4 | | 41 | 11 | | 42 | 17 | | 43 | 15 | | 44 | 22 | | 45 | 11 | | 46 | 12 | | 47 | 2 | | 48 | 8 | | 49 | 36 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 54 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 96 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 82 | | ratio | 0.073 | | matches | | 0 | "Quinn tapped the floor where something protruded—a faint, jagged, ink-black symbol scorched into the marble." | | 1 | "Leary laid the evidence on the cracked floor—an ancient bone talisman, carved with cryptic symbols, oddly warm beneath the pale light." | | 2 | "A shadow detached from the far end—an indistinct figure blurred like smoke." | | 3 | "The figure stepped into faint torchlight—a slender silhouette clad in dark clothes, face obscured." | | 4 | "The shadow flickered—almost a grin before it vanished into a slit in the crypt wall, leaving behind an icy whisper of dread." | | 5 | "Something ancient was stirring—and the uneasy thrum of the Veil Market’s dark tide was pulling her deeper into its depths." |
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| 87.07% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 521 | | adjectiveStacks | 2 | | stackExamples | | 0 | "faint, jagged, ink-black symbol" | | 1 | "faint, oily black smear" |
| | adverbCount | 16 | | adverbRatio | 0.030710172744721688 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.02111324376199616 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 10.46 | | std | 7.03 | | cv | 0.672 | | sampleLengths | | 0 | 14 | | 1 | 10 | | 2 | 21 | | 3 | 28 | | 4 | 29 | | 5 | 12 | | 6 | 4 | | 7 | 20 | | 8 | 12 | | 9 | 8 | | 10 | 19 | | 11 | 3 | | 12 | 2 | | 13 | 15 | | 14 | 7 | | 15 | 9 | | 16 | 8 | | 17 | 2 | | 18 | 3 | | 19 | 3 | | 20 | 13 | | 21 | 3 | | 22 | 11 | | 23 | 8 | | 24 | 31 | | 25 | 18 | | 26 | 2 | | 27 | 6 | | 28 | 4 | | 29 | 17 | | 30 | 28 | | 31 | 7 | | 32 | 13 | | 33 | 10 | | 34 | 14 | | 35 | 7 | | 36 | 11 | | 37 | 3 | | 38 | 9 | | 39 | 17 | | 40 | 13 | | 41 | 13 | | 42 | 6 | | 43 | 21 | | 44 | 13 | | 45 | 14 | | 46 | 26 | | 47 | 7 | | 48 | 13 | | 49 | 14 |
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| 94.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.573170731707317 | | totalSentences | 82 | | uniqueOpeners | 47 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 49 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 49 | | matches | | 0 | "Her sharp jaw clenched as" | | 1 | "His voice carried an uneasy" | | 2 | "His brow furrowed." | | 3 | "She nudged aside a fallen" | | 4 | "Her voice lowered, like confessing" | | 5 | "He glanced toward the back" | | 6 | "Its needle quivered violently, struggling" | | 7 | "She knocked sharply on the" | | 8 | "She tightened her leather watch" |
| | ratio | 0.184 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 49 | | matches | | 0 | "Detective Harlow Quinn crouched beside" | | 1 | "Her sharp jaw clenched as" | | 2 | "The forgotten mausoleum lay far" | | 3 | "The faint echo of dripping" | | 4 | "DS Morris stood just beyond" | | 5 | "His voice carried an uneasy" | | 6 | "Quinn didn’t look up." | | 7 | "Morris stepped closer, peering at" | | 8 | "His brow furrowed." | | 9 | "Quinn tapped the floor where" | | 10 | "She nudged aside a fallen" | | 11 | "Her voice lowered, like confessing" | | 12 | "Morris frowned, hesitant." | | 13 | "Morris chuckled darkly." | | 14 | "Quinn’s gaze snapped to him," | | 15 | "He glanced toward the back" | | 16 | "Morris shook his head." | | 17 | "Quinn reached into her coat" | | 18 | "Its needle quivered violently, struggling" | | 19 | "Morris reached for the strange" |
| | ratio | 0.98 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 49 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "DS Morris stood just, hands shoved into the pockets of his rumpled coat" | | 1 | "Morris asked, eyes narrowing" |
| |
| 56.98% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "Leary explained (explain)" | | 1 | "Evelyn whispered suddenly (whisper)" | | 2 | "Quinn muttered (mutter)" | | 3 | "the messenger warned (warn)" |
| | dialogueSentences | 43 | | tagDensity | 0.163 | | leniency | 0.326 | | rawRatio | 0.571 | | effectiveRatio | 0.186 | |