| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.485 | | leniency | 0.97 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1204 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "barely above a whisper" |
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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) | |
| 33.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1204 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "echo" | | 1 | "flicker" | | 2 | "tracing" | | 3 | "etched" | | 4 | "silence" | | 5 | "familiar" | | 6 | "racing" | | 7 | "whisper" | | 8 | "uncanny" | | 9 | "pulse" | | 10 | "scanning" |
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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 | 75 | | matches | (empty) | |
| 66.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 75 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1197 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 878 | | uniqueNames | 14 | | maxNameDensity | 1.59 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | Tube | 2 | | Harlow | 14 | | Quinn | 1 | | Eva | 13 | | Kowalski | 1 | | Veil | 1 | | Compass | 1 | | Shade | 1 | | Lucien | 1 | | Voss | 1 | | Bloomsbury | 1 | | Met | 1 | | Market | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Kowalski" | | 4 | "Compass" | | 5 | "Lucien" | | 6 | "Voss" |
| | places | | | globalScore | 0.703 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.835 | | wordCount | 1197 | | matches | | 0 | "not loud, but insistent, like a thread tugging at the edge of memory" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 95.93% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 46.04 | | std | 22.36 | | cv | 0.486 | | sampleLengths | | 0 | 117 | | 1 | 44 | | 2 | 101 | | 3 | 53 | | 4 | 39 | | 5 | 50 | | 6 | 49 | | 7 | 36 | | 8 | 43 | | 9 | 19 | | 10 | 64 | | 11 | 46 | | 12 | 44 | | 13 | 60 | | 14 | 33 | | 15 | 37 | | 16 | 55 | | 17 | 48 | | 18 | 47 | | 19 | 8 | | 20 | 43 | | 21 | 33 | | 22 | 12 | | 23 | 36 | | 24 | 49 | | 25 | 31 |
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| 95.91% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 75 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 133 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 92 | | ratio | 0.054 | | matches | | 0 | "The Veil Compass—crafted by a Shade artisan, its needle etched with sigils that shimmer when the moon is full—has been her only clue since the body was found here, half-submerged in a puddle of black water that smelled of burnt sage and iron." | | 1 | "The walls are lined with graffiti—symbols carved into the concrete, some familiar, others alien." | | 2 | "“His sister. She vanished when they were kids. The police said she ran away. But Lucien… he never stopped looking.” She pulls a photograph from her satchel—a young girl with the same green eyes as her own, standing in front of a crumbling castle." | | 3 | "Somewhere in the distance, a bell tolls—three times, then silence." | | 4 | "Somewhere in the distance, a voice calls—not loud, but insistent, like a thread tugging at the edge of memory." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 888 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.02364864864864865 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0045045045045045045 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 13.01 | | std | 9.54 | | cv | 0.733 | | sampleLengths | | 0 | 20 | | 1 | 30 | | 2 | 25 | | 3 | 42 | | 4 | 24 | | 5 | 15 | | 6 | 5 | | 7 | 3 | | 8 | 5 | | 9 | 14 | | 10 | 43 | | 11 | 36 | | 12 | 7 | | 13 | 9 | | 14 | 37 | | 15 | 11 | | 16 | 7 | | 17 | 9 | | 18 | 10 | | 19 | 2 | | 20 | 12 | | 21 | 31 | | 22 | 7 | | 23 | 10 | | 24 | 7 | | 25 | 17 | | 26 | 15 | | 27 | 10 | | 28 | 26 | | 29 | 7 | | 30 | 14 | | 31 | 15 | | 32 | 5 | | 33 | 2 | | 34 | 8 | | 35 | 11 | | 36 | 24 | | 37 | 19 | | 38 | 21 | | 39 | 15 | | 40 | 31 | | 41 | 22 | | 42 | 15 | | 43 | 7 | | 44 | 2 | | 45 | 44 | | 46 | 14 | | 47 | 10 | | 48 | 4 | | 49 | 9 |
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| 48.55% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.33695652173913043 | | totalSentences | 92 | | uniqueOpeners | 31 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 67 | | matches | | 0 | "Instead, she steps forward, the" | | 1 | "Somewhere ahead, a door creaks" | | 2 | "Somewhere in the distance, a" | | 3 | "Somewhere in the distance, a" |
| | ratio | 0.06 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 67 | | matches | | 0 | "She pauses at the mouth" | | 1 | "She doesn’t answer right away." | | 2 | "she says, tapping the parchment" | | 3 | "Her watch ticks, a steady" | | 4 | "she murmurs, more to herself" | | 5 | "She pulls a small vial" | | 6 | "she says, recalling the old" | | 7 | "She turns back to Eva," | | 8 | "she says, her voice barely" | | 9 | "She pulls a photograph from" | | 10 | "She thinks of the body" | | 11 | "They move through the tunnels," | | 12 | "She’s already scanning the walls," | | 13 | "Her watch ticks, a metronome" | | 14 | "she says, her voice steady" | | 15 | "She reaches out, her fingers" | | 16 | "It is a wound." |
| | ratio | 0.254 | |
| 4.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 67 | | matches | | 0 | "Rain slicks the iron stairs" | | 1 | "Detective Harlow Quinn’s boots leave" | | 2 | "The air smells of rust" | | 3 | "She pauses at the mouth" | | 4 | "Eva asks, her voice low," | | 5 | "The satchel at her side" | | 6 | "Harlow’s jaw tightens." | | 7 | "She doesn’t answer right away." | | 8 | "The Veil Compass—crafted by a" | | 9 | "The victim, a man named" | | 10 | "Eva follows her gaze to" | | 11 | "she says, tapping the parchment" | | 12 | "Harlow kneels, brushing her fingers" | | 13 | "The surface ripples, though there’s" | | 14 | "Her watch ticks, a steady" | | 15 | "she murmurs, more to herself" | | 16 | "Eva leans closer, her freckled" | | 17 | "She pulls a small vial" | | 18 | "Harlow lifts the vial, holding" | | 19 | "The substance pulses faintly, as" |
| | ratio | 0.91 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "The air smells of rust and damp wool, a scent that clings to the back of her throat like a memory she can’t quite place." | | 1 | "The Veil Compass—crafted by a Shade artisan, its needle etched with sigils that shimmer when the moon is full—has been her only clue since the body was found he…" |
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| 31.25% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 3 | | matches | | 0 | "she murmurs, more to herself than Eva" | | 1 | "she says, her voice barely above a whisper" | | 2 | "she says, her voice steady" |
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| 89.39% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 2 | | fancyTags | | 0 | "she murmurs (murmur)" | | 1 | "she whispers (whisper)" |
| | dialogueSentences | 33 | | tagDensity | 0.394 | | leniency | 0.788 | | rawRatio | 0.154 | | effectiveRatio | 0.121 | |