| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 593 | | totalAiIsmAdverbs | 1 | | 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) | |
| 40.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 593 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "silence" | | 1 | "pulse" | | 2 | "pulsed" | | 3 | "tracing" | | 4 | "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 | 57 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 57 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 69 | | 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 | 6 | | markdownWords | 7 | | totalWords | 583 | | ratio | 0.012 | | matches | | 0 | "twitch" | | 1 | "hers" | | 2 | "key" | | 3 | "Veil." | | 4 | "doorway" | | 5 | "pull them." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 71.10% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 507 | | uniqueNames | 9 | | maxNameDensity | 1.58 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Davies" | | discoveredNames | | Harlow | 8 | | Quinn | 1 | | Tube | 1 | | Camden | 1 | | Davies | 8 | | Veil | 4 | | Market | 2 | | Compass | 1 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Davies" |
| | places | | 0 | "Veil" | | 1 | "Compass" | | 2 | "London" |
| | globalScore | 0.711 | | windowScore | 0.833 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like it had been there for decades" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 583 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 20.1 | | std | 16.98 | | cv | 0.845 | | sampleLengths | | 0 | 1 | | 1 | 65 | | 2 | 26 | | 3 | 21 | | 4 | 45 | | 5 | 15 | | 6 | 29 | | 7 | 44 | | 8 | 8 | | 9 | 12 | | 10 | 48 | | 11 | 12 | | 12 | 5 | | 13 | 33 | | 14 | 7 | | 15 | 4 | | 16 | 1 | | 17 | 5 | | 18 | 48 | | 19 | 1 | | 20 | 31 | | 21 | 12 | | 22 | 19 | | 23 | 37 | | 24 | 6 | | 25 | 19 | | 26 | 9 | | 27 | 6 | | 28 | 14 |
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| 86.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 57 | | matches | | 0 | "been yanked" | | 1 | "was supposed" | | 2 | "was blackened" |
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| 50.19% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 89 | | matches | | 0 | "was trying" | | 1 | "was trying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 69 | | ratio | 0.087 | | matches | | 0 | "The air smelled of wet stone and something older—ozone, maybe, or the faint metallic tang of blood that had long since dried." | | 1 | "She let her gaze drift over the scene—the scattered bones, the sigils carved into the concrete, the way the shadows seemed to *twitch* at the edges of her vision." | | 2 | "Then she saw it—the Veil Compass, just as she’d described it." | | 3 | "The symbols were the same as the ones carved into the walls—the same as the ones on the compass." | | 4 | "She’d heard the stories—the Veil Market, the underground black market where the supernatural traded in secrets and sins." | | 5 | "A sound cut through the silence—a wet, guttural whisper, like a voice dragged through water." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 518 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.03667953667953668 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.009652509652509652 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 69 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 69 | | mean | 8.43 | | std | 6.29 | | cv | 0.746 | | sampleLengths | | 0 | 30 | | 1 | 13 | | 2 | 22 | | 3 | 4 | | 4 | 13 | | 5 | 9 | | 6 | 16 | | 7 | 5 | | 8 | 5 | | 9 | 29 | | 10 | 11 | | 11 | 9 | | 12 | 6 | | 13 | 8 | | 14 | 8 | | 15 | 5 | | 16 | 8 | | 17 | 4 | | 18 | 19 | | 19 | 10 | | 20 | 11 | | 21 | 3 | | 22 | 5 | | 23 | 5 | | 24 | 7 | | 25 | 10 | | 26 | 8 | | 27 | 11 | | 28 | 5 | | 29 | 14 | | 30 | 4 | | 31 | 8 | | 32 | 3 | | 33 | 2 | | 34 | 3 | | 35 | 14 | | 36 | 2 | | 37 | 3 | | 38 | 3 | | 39 | 8 | | 40 | 7 | | 41 | 2 | | 42 | 2 | | 43 | 1 | | 44 | 5 | | 45 | 9 | | 46 | 19 | | 47 | 20 | | 48 | 1 | | 49 | 3 |
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| 67.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.42028985507246375 | | totalSentences | 69 | | uniqueOpeners | 29 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 51 | | matches | | 0 | "Then Davies pointed his light" | | 1 | "Then she saw it—the Veil" | | 2 | "Only this one wasn’t brass." | | 3 | "Instead, he reached into his" | | 4 | "Instead, she turned back to" |
| | ratio | 0.098 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 51 | | matches | | 0 | "she muttered, straightening" | | 1 | "She let her gaze drift" | | 2 | "She followed his light, her" | | 3 | "It was blackened steel, its" | | 4 | "He didn’t answer." | | 5 | "His silence was answer enough." | | 6 | "She snatched the paper, unfolding" | | 7 | "She’d heard the stories—the Veil" | | 8 | "It was a *doorway*." | | 9 | "he said, his voice low" | | 10 | "She didn’t turn." | | 11 | "She already knew." |
| | ratio | 0.235 | |
| 87.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 51 | | matches | | 0 | "The brass compass lay half-buried" | | 1 | "Detective Harlow Quinn crouched beside" | | 2 | "The air smelled of wet" | | 3 | "she muttered, straightening" | | 4 | "The abandoned Tube station beneath" | | 5 | "DS Davies stood near the" | | 6 | "Harlow didn’t answer right away." | | 7 | "She let her gaze drift" | | 8 | "Davies exhaled sharply, his breath" | | 9 | "Harlow turned the compass over" | | 10 | "The sigils were protective, but" | | 11 | "A beat of silence." | | 12 | "The kind you needed to" | | 13 | "The kind that only appeared" | | 14 | "Harlow’s pulse jumped." | | 15 | "Davies didn’t meet her eyes." | | 16 | "She followed his light, her" | | 17 | "The token pulsed faintly, like" | | 18 | "It was blackened steel, its" | | 19 | "Davies crouched beside it." |
| | ratio | 0.745 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 2 | | matches | | 0 | "The brass compass lay half-buried in the damp earth, its needle frozen at a jagged angle, as if the hand that had set it there had been yanked away mid-swing." | | 1 | "The air smelled of wet stone and something older—ozone, maybe, or the faint metallic tang of blood that had long since dried." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, his voice low" |
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| 16.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she demanded (demand)" |
| | dialogueSentences | 15 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.667 | | effectiveRatio | 0.267 | |