| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1888 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slowly" | | 1 | "quickly" | | 2 | "carefully" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 68.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1888 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "echoing" | | 1 | "pulsed" | | 2 | "tension" | | 3 | "sense of" | | 4 | "flicked" | | 5 | "etched" | | 6 | "standard" | | 7 | "could feel" | | 8 | "chill" | | 9 | "traced" | | 10 | "wavered" |
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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 | 136 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 136 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 165 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1888 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 1 | | matches | | 0 | "A supernatural black market, they said." |
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| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1298 | | uniqueNames | 14 | | maxNameDensity | 1.39 | | worstName | "Harlow" | | maxWindowNameDensity | 4 | | worstWindowName | "Harlow" | | discoveredNames | | Quinn | 1 | | Thursday | 2 | | Blitz | 1 | | Harlow | 18 | | Veil | 2 | | Market | 1 | | Patel | 7 | | Young | 1 | | Eastern | 1 | | European | 1 | | Eva | 8 | | Morris | 3 | | Kowalski | 1 | | London | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Harlow" | | 2 | "Veil" | | 3 | "Patel" | | 4 | "Eva" | | 5 | "Morris" | | 6 | "Kowalski" |
| | places | | | globalScore | 0.807 | | windowScore | 0.333 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 5 | | matches | | 0 | "seemed wrong somehow, too steady, too even, like something was sustaining them beyond the laws of thermodynamics" | | 1 | "hair that seemed to have a mind of its own" | | 2 | "looked like books" | | 3 | "looked like fear" | | 4 | "quite place" |
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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 | 1888 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 165 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 29.97 | | std | 22.67 | | cv | 0.756 | | sampleLengths | | 0 | 78 | | 1 | 3 | | 2 | 34 | | 3 | 9 | | 4 | 64 | | 5 | 9 | | 6 | 86 | | 7 | 35 | | 8 | 53 | | 9 | 5 | | 10 | 62 | | 11 | 48 | | 12 | 32 | | 13 | 64 | | 14 | 4 | | 15 | 27 | | 16 | 6 | | 17 | 17 | | 18 | 3 | | 19 | 59 | | 20 | 17 | | 21 | 5 | | 22 | 26 | | 23 | 10 | | 24 | 8 | | 25 | 16 | | 26 | 98 | | 27 | 41 | | 28 | 16 | | 29 | 31 | | 30 | 49 | | 31 | 2 | | 32 | 48 | | 33 | 8 | | 34 | 66 | | 35 | 6 | | 36 | 50 | | 37 | 13 | | 38 | 9 | | 39 | 33 | | 40 | 34 | | 41 | 21 | | 42 | 28 | | 43 | 56 | | 44 | 6 | | 45 | 52 | | 46 | 48 | | 47 | 23 | | 48 | 12 | | 49 | 29 |
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| 92.36% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 136 | | matches | | 0 | "been erected" | | 1 | "been abandoned" | | 2 | "been called" | | 3 | "was etched" | | 4 | "been told" |
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| 38.97% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 207 | | matches | | 0 | "was sustaining" | | 1 | "was examining" | | 2 | "was holding" | | 3 | "was pointing" | | 4 | "was still pointing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 165 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1304 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.02530674846625767 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003067484662576687 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 165 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 165 | | mean | 11.44 | | std | 10.33 | | cv | 0.903 | | sampleLengths | | 0 | 8 | | 1 | 14 | | 2 | 1 | | 3 | 32 | | 4 | 3 | | 5 | 20 | | 6 | 3 | | 7 | 8 | | 8 | 4 | | 9 | 22 | | 10 | 9 | | 11 | 3 | | 12 | 19 | | 13 | 6 | | 14 | 5 | | 15 | 7 | | 16 | 24 | | 17 | 4 | | 18 | 5 | | 19 | 18 | | 20 | 2 | | 21 | 4 | | 22 | 6 | | 23 | 16 | | 24 | 6 | | 25 | 34 | | 26 | 16 | | 27 | 1 | | 28 | 1 | | 29 | 14 | | 30 | 3 | | 31 | 11 | | 32 | 14 | | 33 | 3 | | 34 | 25 | | 35 | 3 | | 36 | 2 | | 37 | 9 | | 38 | 13 | | 39 | 16 | | 40 | 11 | | 41 | 3 | | 42 | 2 | | 43 | 8 | | 44 | 5 | | 45 | 43 | | 46 | 5 | | 47 | 9 | | 48 | 18 | | 49 | 5 |
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| 63.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.41818181818181815 | | totalSentences | 165 | | uniqueOpeners | 69 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 114 | | matches | | 0 | "Still believed the job was" | | 1 | "More like sigils." | | 2 | "Then at the body." | | 3 | "Then back at Eva." |
| | ratio | 0.035 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 114 | | matches | | 0 | "She could hear voices echoing" | | 1 | "She'd heard whispers about it" | | 2 | "She'd filed it under urban" | | 3 | "She followed him past the" | | 4 | "She'd been called out of" | | 5 | "His face was slack, eyes" | | 6 | "She'd seen that before, in" | | 7 | "She leaned closer, caught a" | | 8 | "She turned, taking in the" | | 9 | "Her gaze caught on a" | | 10 | "She crossed the platform toward" | | 11 | "She was examining something on" | | 12 | "It was pointing at the" | | 13 | "She had a slight accent" | | 14 | "She nodded toward the body" | | 15 | "She could feel it now" | | 16 | "She crouched again, looking at" | | 17 | "She'd seen it before." | | 18 | "She looked at Eva Kowalski," | | 19 | "She tucked her hair behind" |
| | ratio | 0.219 | |
| 91.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 114 | | matches | | 0 | "The stairs smelled of rust" | | 1 | "Harlow Quinn descended with her" | | 2 | "The same as last Thursday" | | 3 | "Both times, nothing." | | 4 | "The responding officers had found" | | 5 | "Tonight was different." | | 6 | "She could hear voices echoing" | | 7 | "The acoustics of the place" | | 8 | "The platform opened up before" | | 9 | "The Veil Market." | | 10 | "She'd heard whispers about it" | | 11 | "A supernatural black market, they" | | 12 | "She'd filed it under urban" | | 13 | "Stalls had been erected along" | | 14 | "Objects she couldn't begin to" | | 15 | "Someone had knocked over a" | | 16 | "DC Patel approached from the" | | 17 | "She followed him past the" | | 18 | "The worn leather watch on" | | 19 | "She'd been called out of" |
| | ratio | 0.737 | |
| 43.86% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 114 | | matches | | 0 | "If someone had attacked him," |
| | ratio | 0.009 | |
| 3.11% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 9 | | matches | | 0 | "Harlow Quinn descended with her hand trailing the wall, counting steps out of habit." | | 1 | "The responding officers had found empty platforms and pigeons and the kind of darkness that made their torches feel inadequate." | | 2 | "She'd filed it under urban legend, same as the ghost stories and the vampire cult nonsense that landed on her desk every few weeks." | | 3 | "Someone had knocked over a brazier, and the coals still pulsed with a faint orange glow that seemed wrong somehow, too steady, too even, like something was sust…" | | 4 | "The woman was short, maybe five-four, with a mass of curly red hair that seemed to have a mind of its own." | | 5 | "The casing had a greenish patina that spoke of age, and the needle inside was moving, but not pointing north." | | 6 | "Green eyes behind those round glasses, sharp with intelligence and shadowed with something that looked like fear." | | 7 | "The case that had ended with her partner dead in a locked room with no witnesses and no explanation and a residue on his hands that the forensics team had class…" | | 8 | "The young woman with the red hair and the round glasses and the satchel full of books about things that shouldn't exist." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "DC Patel approached, his notebook already out" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.05 | | leniency | 0.1 | | rawRatio | 0 | | effectiveRatio | 0 | |