| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 31 | | tagDensity | 0.516 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.65% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1197 | | totalAiIsmAdverbs | 2 | | 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) | |
| 62.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1197 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "weight" | | 1 | "pulse" | | 2 | "stomach" | | 3 | "scanned" | | 4 | "echoed" | | 5 | "quivered" | | 6 | "trembled" | | 7 | "depths" | | 8 | "churning" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 61 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | 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 | 76 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1195 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.29% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 870 | | uniqueNames | 14 | | maxNameDensity | 1.49 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 13 | | Miller | 9 | | Camden | 3 | | Market | 2 | | Morris | 1 | | Veil | 2 | | Compass | 1 | | Soho | 1 | | Kowalski | 2 | | Glock | 1 | | Metropolitan | 1 | | Police | 1 | | Eva | 6 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Camden" | | 4 | "Morris" | | 5 | "Kowalski" | | 6 | "Eva" |
| | places | | | globalScore | 0.753 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.837 | | wordCount | 1195 | | matches | | 0 | "not iron pipes or city sewers, but a vast, shimmering expanse of twilight beyond" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 32.3 | | std | 19.36 | | cv | 0.599 | | sampleLengths | | 0 | 23 | | 1 | 70 | | 2 | 34 | | 3 | 35 | | 4 | 74 | | 5 | 43 | | 6 | 28 | | 7 | 55 | | 8 | 34 | | 9 | 40 | | 10 | 6 | | 11 | 4 | | 12 | 28 | | 13 | 42 | | 14 | 26 | | 15 | 15 | | 16 | 84 | | 17 | 31 | | 18 | 32 | | 19 | 8 | | 20 | 45 | | 21 | 2 | | 22 | 38 | | 23 | 36 | | 24 | 42 | | 25 | 5 | | 26 | 16 | | 27 | 61 | | 28 | 27 | | 29 | 14 | | 30 | 18 | | 31 | 42 | | 32 | 47 | | 33 | 6 | | 34 | 28 | | 35 | 30 | | 36 | 26 |
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| 99.51% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 61 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 126 | | matches | | |
| 67.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 76 | | ratio | 0.026 | | matches | | 0 | "It was the same feeling—that suffocating, unnatural cold—that had filled the alleyway three years ago, the night DS Morris died in her arms with no mark on his body save for a frozen heart." | | 1 | "The needle inside didn't point north; it quivered, spastically twitching toward the brick wall." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 881 | | adjectiveStacks | 1 | | stackExamples | | 0 | "bustling, rain-slicked pavement" |
| | adverbCount | 11 | | adverbRatio | 0.012485811577752554 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.01021566401816118 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 76 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 76 | | mean | 15.72 | | std | 8.21 | | cv | 0.522 | | sampleLengths | | 0 | 23 | | 1 | 22 | | 2 | 14 | | 3 | 22 | | 4 | 12 | | 5 | 21 | | 6 | 13 | | 7 | 22 | | 8 | 13 | | 9 | 18 | | 10 | 11 | | 11 | 11 | | 12 | 16 | | 13 | 2 | | 14 | 3 | | 15 | 13 | | 16 | 15 | | 17 | 28 | | 18 | 13 | | 19 | 15 | | 20 | 7 | | 21 | 14 | | 22 | 34 | | 23 | 18 | | 24 | 16 | | 25 | 40 | | 26 | 6 | | 27 | 4 | | 28 | 28 | | 29 | 29 | | 30 | 13 | | 31 | 12 | | 32 | 14 | | 33 | 15 | | 34 | 19 | | 35 | 3 | | 36 | 26 | | 37 | 14 | | 38 | 22 | | 39 | 15 | | 40 | 16 | | 41 | 7 | | 42 | 15 | | 43 | 10 | | 44 | 8 | | 45 | 24 | | 46 | 4 | | 47 | 17 | | 48 | 2 | | 49 | 3 |
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| 80.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5394736842105263 | | totalSentences | 76 | | uniqueOpeners | 41 | |
| 59.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 56 | | matches | | 0 | "Just three men in tailor-made" |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 56 | | matches | | 0 | "Her closely cropped salt-and-pepper hair" | | 1 | "She shifted her weight, a" | | 2 | "She knelt, the fabric of" | | 3 | "They stood in a forgotten" | | 4 | "They were sharp, geometric sigils" | | 5 | "She reached out, her gloved" | | 6 | "It was the same feeling—that" | | 7 | "She reached into her heavy" | | 8 | "She had confiscated it from" | | 9 | "She knew that handwriting." | | 10 | "She had seen it on" | | 11 | "She wore a heavy tweed" | | 12 | "Her green eyes widened as" |
| | ratio | 0.232 | |
| 40.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 56 | | matches | | 0 | "Detective Harlow Quinn stepped over" | | 1 | "Her closely cropped salt-and-pepper hair" | | 2 | "She shifted her weight, a" | | 3 | "Sergeant Miller muttered, retreating a" | | 4 | "Quinn lied with the smooth" | | 5 | "She knelt, the fabric of" | | 6 | "They stood in a forgotten" | | 7 | "They were sharp, geometric sigils" | | 8 | "Miller said, pointing a trembling" | | 9 | "She reached out, her gloved" | | 10 | "An icy prickle shot up" | | 11 | "The air here felt thick," | | 12 | "It was the same feeling—that" | | 13 | "Miller insisted, stepping closer, though" | | 14 | "Quinn stood up, her sharp" | | 15 | "Quinn pointed her beam toward" | | 16 | "Miller scoffed, a hollow, nervous" | | 17 | "Quinn crossed the threshold, her" | | 18 | "She reached into her heavy" | | 19 | "The Veil Compass." |
| | ratio | 0.839 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 2 | | matches | | 0 | "It was the same feeling—that suffocating, unnatural cold—that had filled the alleyway three years ago, the night DS Morris died in her arms with no mark on his …" | | 1 | "She wore a heavy tweed coat, a leather satchel slung across her chest, and round glasses that reflected the sickly yellow light of Miller's torch." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn crossed, her leather soles crunching on grit" | | 1 | "Eva whispered, her voice trembling" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 7 | | fancyTags | | 0 | "Sergeant Miller muttered (mutter)" | | 1 | "Quinn lied (lie)" | | 2 | "Miller insisted (insist)" | | 3 | "Quinn snapped (snap)" | | 4 | "Miller breathed (breathe)" | | 5 | "Quinn growled (growl)" | | 6 | "Eva whispered (whisper)" |
| | dialogueSentences | 31 | | tagDensity | 0.387 | | leniency | 0.774 | | rawRatio | 0.583 | | effectiveRatio | 0.452 | |