| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.206 | | leniency | 0.412 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 61.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 920 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
| | 3 | | adverb | "barely above a whisper" | | count | 1 |
| | 4 | | | 5 | |
| | highlights | | 0 | "softly" | | 1 | "slowly" | | 2 | "deliberately" | | 3 | "barely above a whisper" | | 4 | "sharply" | | 5 | "slightly" |
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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) | |
| 34.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 920 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "chill" | | 1 | "silence" | | 2 | "weight" | | 3 | "shimmered" | | 4 | "etched" | | 5 | "whisper" | | 6 | "glinting" | | 7 | "flickered" | | 8 | "tension" | | 9 | "trembled" |
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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 | 61 | | matches | (empty) | |
| 96.02% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 61 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 913 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 653 | | uniqueNames | 9 | | maxNameDensity | 3.22 | | worstName | "Quinn" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 21 | | Veil | 6 | | Market | 4 | | Morris | 8 | | Compass | 2 | | Kowalski | 1 | | Eva | 6 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Morris" | | 4 | "Kowalski" | | 5 | "Eva" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 1 | | matches | | 0 | "something like amusement" |
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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 | 913 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 25.36 | | std | 20.64 | | cv | 0.814 | | sampleLengths | | 0 | 85 | | 1 | 72 | | 2 | 66 | | 3 | 27 | | 4 | 27 | | 5 | 47 | | 6 | 9 | | 7 | 34 | | 8 | 44 | | 9 | 1 | | 10 | 53 | | 11 | 39 | | 12 | 30 | | 13 | 12 | | 14 | 11 | | 15 | 1 | | 16 | 49 | | 17 | 23 | | 18 | 8 | | 19 | 25 | | 20 | 13 | | 21 | 10 | | 22 | 10 | | 23 | 11 | | 24 | 9 | | 25 | 21 | | 26 | 1 | | 27 | 40 | | 28 | 11 | | 29 | 17 | | 30 | 9 | | 31 | 9 | | 32 | 29 | | 33 | 11 | | 34 | 10 | | 35 | 39 |
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| 93.76% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 61 | | matches | | |
| 78.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 110 | | matches | | 0 | "was reacting" | | 1 | "wasn’t leaving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 87 | | ratio | 0.057 | | matches | | 0 | "The air in the abandoned Tube station was thick with the scent of damp stone and something older—something that clung to the walls like a second skin." | | 1 | "His coat was torn, the pockets ripped open, but nothing inside—no wallet, no phone, no sign of struggle." | | 2 | "The only thing left was the way his eyes had been—glassier than usual, the pupils dilated, as if something had burned them from the inside out." | | 3 | "The needle had settled—slowly, deliberately—toward the center of the station." | | 4 | "The figure tilted his head, his eyes—if they could be called that—glinting with something like amusement." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 665 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.031578947368421054 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.015037593984962405 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 10.46 | | std | 6.66 | | cv | 0.637 | | sampleLengths | | 0 | 27 | | 1 | 36 | | 2 | 22 | | 3 | 12 | | 4 | 16 | | 5 | 18 | | 6 | 26 | | 7 | 15 | | 8 | 18 | | 9 | 16 | | 10 | 17 | | 11 | 12 | | 12 | 15 | | 13 | 4 | | 14 | 14 | | 15 | 9 | | 16 | 5 | | 17 | 18 | | 18 | 10 | | 19 | 2 | | 20 | 2 | | 21 | 2 | | 22 | 8 | | 23 | 2 | | 24 | 7 | | 25 | 7 | | 26 | 16 | | 27 | 11 | | 28 | 7 | | 29 | 14 | | 30 | 8 | | 31 | 15 | | 32 | 20 | | 33 | 18 | | 34 | 15 | | 35 | 15 | | 36 | 13 | | 37 | 11 | | 38 | 3 | | 39 | 6 | | 40 | 21 | | 41 | 3 | | 42 | 9 | | 43 | 6 | | 44 | 5 | | 45 | 18 | | 46 | 20 | | 47 | 11 | | 48 | 18 | | 49 | 5 |
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| 47.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.27586206896551724 | | totalSentences | 87 | | uniqueOpeners | 24 | |
| 59.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 56 | | matches | | 0 | "Instead, she gestured toward the" |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 56 | | matches | | 0 | "She crouched beside the body," | | 1 | "His coat was torn, the" | | 2 | "His face was pale, his" | | 3 | "She reached into her pocket" | | 4 | "She’d been waiting in the" | | 5 | "she asked, her voice barely" | | 6 | "His skin was too smooth," |
| | ratio | 0.125 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 56 | | matches | | 0 | "The air in the abandoned" | | 1 | "Detective Harlow Quinn adjusted the" | | 2 | "The Veil Market had moved" | | 3 | "She crouched beside the body," | | 4 | "The man lay sprawled across" | | 5 | "His coat was torn, the" | | 6 | "The only thing left was" | | 7 | "DS Morris’s voice cut through" | | 8 | "Quinn looked up to see" | | 9 | "His face was pale, his" | | 10 | "Quinn exhaled through her nose," | | 11 | "Quinn said, brushing her salt-and-pepper" | | 12 | "Morris followed her gaze." | | 13 | "The fabric shimmered faintly, as" | | 14 | "Quinn didn’t answer right away." | | 15 | "She reached into her pocket" | | 16 | "The needle had settled—slowly, deliberately—toward" | | 17 | "The needle pointed straight at" | | 18 | "Quinn flipped the compass over" | | 19 | "The sigils on the face" |
| | ratio | 0.929 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 37.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 4 | | matches | | 0 | "The air in the abandoned Tube station was thick with the scent of damp stone and something older—something that clung to the walls like a second skin." | | 1 | "The man lay sprawled across the platform, his fingers twitching as if still reaching for something." | | 2 | "The only thing left was the way his eyes had been—glassier than usual, the pupils dilated, as if something had burned them from the inside out." | | 3 | "His skin was too smooth, his movements too precise, like a man who had spent a lifetime learning to disappear." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 3 | | matches | | 0 | "she asked, her voice barely above a whisper" | | 1 | "Quinn said, her voice low" | | 2 | "Quinn said, her voice cutting through the tension" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0 | | effectiveRatio | 0 | |