| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "Miller turned back [back]" |
| | dialogueSentences | 32 | | tagDensity | 0.406 | | leniency | 0.813 | | rawRatio | 0.077 | | effectiveRatio | 0.063 | |
| 96.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1282 | | 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) | |
| 53.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1282 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "familiar" | | 1 | "shattered" | | 2 | "pristine" | | 3 | "etched" | | 4 | "rhythmic" | | 5 | "echoed" | | 6 | "velvet" | | 7 | "gloom" | | 8 | "silk" | | 9 | "intensity" |
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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 | 81 | | matches | (empty) | |
| 72.31% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1282 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 64.57% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 995 | | uniqueNames | 15 | | maxNameDensity | 1.71 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Northern | 1 | | Line | 1 | | Camden | 1 | | High | 1 | | Street | 1 | | Miller | 12 | | Quinn | 17 | | North | 1 | | Tube | 2 | | Victorian | 1 | | London | 1 | | Underground | 1 | | West | 1 | | End | 1 | | Shade | 3 |
| | persons | | 0 | "Line" | | 1 | "Miller" | | 2 | "Quinn" | | 3 | "Shade" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "London" | | 4 | "West" | | 5 | "End" |
| | globalScore | 0.646 | | windowScore | 0.667 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 3 | | matches | | 0 | "sigils that seemed to shimmer when they caught the light" | | 1 | "darkness that seemed to swallow the light from Quinn’s torch" | | 2 | "looked like a librarian who had lost her" |
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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 | 1282 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 31.27 | | std | 22.42 | | cv | 0.717 | | sampleLengths | | 0 | 68 | | 1 | 7 | | 2 | 55 | | 3 | 40 | | 4 | 61 | | 5 | 6 | | 6 | 19 | | 7 | 6 | | 8 | 81 | | 9 | 4 | | 10 | 15 | | 11 | 60 | | 12 | 8 | | 13 | 2 | | 14 | 62 | | 15 | 27 | | 16 | 6 | | 17 | 23 | | 18 | 19 | | 19 | 53 | | 20 | 18 | | 21 | 20 | | 22 | 54 | | 23 | 54 | | 24 | 17 | | 25 | 10 | | 26 | 45 | | 27 | 21 | | 28 | 55 | | 29 | 7 | | 30 | 34 | | 31 | 10 | | 32 | 23 | | 33 | 46 | | 34 | 20 | | 35 | 12 | | 36 | 58 | | 37 | 24 | | 38 | 19 | | 39 | 77 | | 40 | 36 |
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| 83.60% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 81 | | matches | | 0 | "was sprawled" | | 1 | "was etched" | | 2 | "was gone" | | 3 | "been severed" | | 4 | "were buried" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 171 | | matches | | 0 | "was meticulously cleaning" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 99 | | ratio | 0.01 | | matches | | 0 | "The Shade didn't run; it simply existed in one spot, then another, closing the distance between the platform and the tracks in a heartbeat." |
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| 60.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1006 | | adjectiveStacks | 7 | | stackExamples | | 0 | "tarnished old small round brass" | | 1 | "tiny, jagged protective sigils" | | 2 | "tiny, delicate silver watch" | | 3 | "old rectangular black oak" | | 4 | "cramped old circular Victorian" | | 5 | "ancient, vellum-bound books." | | 6 | "violent, bone-shaking intensity" |
| | adverbCount | 25 | | adverbRatio | 0.02485089463220676 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009940357852882704 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 12.95 | | std | 7.3 | | cv | 0.564 | | sampleLengths | | 0 | 17 | | 1 | 14 | | 2 | 15 | | 3 | 22 | | 4 | 7 | | 5 | 18 | | 6 | 20 | | 7 | 17 | | 8 | 15 | | 9 | 25 | | 10 | 4 | | 11 | 5 | | 12 | 12 | | 13 | 4 | | 14 | 14 | | 15 | 18 | | 16 | 4 | | 17 | 6 | | 18 | 19 | | 19 | 6 | | 20 | 7 | | 21 | 16 | | 22 | 16 | | 23 | 4 | | 24 | 10 | | 25 | 28 | | 26 | 4 | | 27 | 7 | | 28 | 8 | | 29 | 17 | | 30 | 5 | | 31 | 19 | | 32 | 19 | | 33 | 8 | | 34 | 2 | | 35 | 6 | | 36 | 10 | | 37 | 22 | | 38 | 12 | | 39 | 12 | | 40 | 9 | | 41 | 18 | | 42 | 6 | | 43 | 6 | | 44 | 17 | | 45 | 5 | | 46 | 10 | | 47 | 4 | | 48 | 4 | | 49 | 17 |
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| 48.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.35353535353535354 | | totalSentences | 99 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 81.54% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 78 | | matches | | 0 | "It wasn't the usual vibration" | | 1 | "She adjusted the worn leather" | | 2 | "He looked too small for" | | 3 | "She focused on the victim." | | 4 | "He was sprawled across a" | | 5 | "It smelled of ozone." | | 6 | "Her fingers brushed against something" | | 7 | "She pulled it out." | | 8 | "It was a tarnished old" | | 9 | "It spun in a frantic," | | 10 | "She ignored the way Miller’s" | | 11 | "She walked toward the back" | | 12 | "It was a stout little" | | 13 | "She shoved it open." | | 14 | "She counted forty-two steps before" | | 15 | "It wasn't a basement." | | 16 | "It was a ghost station," | | 17 | "It pointed fixedly toward a" | | 18 | "She moved silently, her boots" | | 19 | "She reached the crates and" |
| | ratio | 0.346 | |
| 17.69% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 78 | | matches | | 0 | "Quinn stepped over the blue" | | 1 | "It wasn't the usual vibration" | | 2 | "This was different, a low-frequency" | | 3 | "She adjusted the worn leather" | | 4 | "DC Miller stood by the" | | 5 | "He looked too small for" | | 6 | "Miller gestured to the heavy" | | 7 | "Quinn didn't look up." | | 8 | "She focused on the victim." | | 9 | "He was sprawled across a" | | 10 | "The edges of the wound" | | 11 | "It smelled of ozone." | | 12 | "Quinn reached into the open" | | 13 | "Miller made a gagging sound," | | 14 | "Her fingers brushed against something" | | 15 | "She pulled it out." | | 16 | "It was a tarnished old" | | 17 | "The casing had a thick" | | 18 | "Miller turned back, his face" | | 19 | "Quinn held up the compass" |
| | ratio | 0.885 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 15.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 8 | | matches | | 0 | "This was different, a low-frequency grit that made her want to peel her skin off." | | 1 | "The casing had a thick patina of verdigris, and the glass face was etched with tiny, jagged protective sigils that seemed to shimmer when they caught the light." | | 2 | "It spun in a frantic, clicking circle, a rhythmic tick-tock that echoed the frantic beating of a trapped bird." | | 3 | "In its place was a cramped old circular Victorian brick stairwell, spiralling down into a darkness that seemed to swallow the light from Quinn’s torch." | | 4 | "The tracks were buried under layers of filth and discarded items that didn't belong in a city of millions: piles of bleached animal bones, jars filled with glow…" | | 5 | "She wore round glasses that reflected the sickly yellow light of a chemical lantern." | | 6 | "It was a silhouette that lacked a third dimension, a hole in reality that moved with a sickening, jerky grace." | | 7 | "The Shade let out a sound like a thousand whispers screaming at once, and the platform began to vibrate with a violent, bone-shaking intensity that brought the …" |
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| 9.62% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 3 | | matches | | 0 | "Miller turned back, his face paling" | | 1 | "Eva said, her voice trembling as she stood" | | 2 | "Miller stepped, his gun drawn" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 4 | | fancyTags | | 0 | "Miller described (describe)" | | 1 | "Miller gasped (gasp)" | | 2 | "Miller whispered (whisper)" | | 3 | "Quinn snapped (snap)" |
| | dialogueSentences | 32 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.5 | | effectiveRatio | 0.25 | |