| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 875 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 37.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 875 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "flickered" | | 1 | "footsteps" | | 2 | "pulse" | | 3 | "fractured" | | 4 | "glistening" | | 5 | "weight" | | 6 | "scanning" | | 7 | "rhythmic" | | 8 | "flicker" | | 9 | "echoing" | | 10 | "unreadable" |
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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 | 79 | | matches | (empty) | |
| 88.61% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 864 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 59.53% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 829 | | uniqueNames | 5 | | maxNameDensity | 1.81 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 15 | | Veil | 1 | | Market | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" |
| | places | (empty) | | globalScore | 0.595 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 864 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 41.14 | | std | 24.89 | | cv | 0.605 | | sampleLengths | | 0 | 72 | | 1 | 71 | | 2 | 66 | | 3 | 4 | | 4 | 75 | | 5 | 63 | | 6 | 12 | | 7 | 47 | | 8 | 15 | | 9 | 23 | | 10 | 51 | | 11 | 61 | | 12 | 48 | | 13 | 5 | | 14 | 65 | | 15 | 61 | | 16 | 27 | | 17 | 50 | | 18 | 37 | | 19 | 6 | | 20 | 5 |
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| 91.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 79 | | matches | | 0 | "was gone" | | 1 | "being dragged" | | 2 | "was connected" |
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| 98.22% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 131 | | matches | | 0 | "was gaining" | | 1 | "wasn’t giving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 83 | | ratio | 0.072 | | matches | | 0 | "The suspect—lean, fast, and currently twenty paces ahead—glanced back, eyes wide under the hood of his soaked jacket." | | 1 | "No—there." | | 2 | "For a second, she thought he might jump—another rooftop, maybe, or a desperate leap to the street below." | | 3 | "But before she could press, a sound cut through the rain—a low, rhythmic thud, like something heavy being dragged across the rooftop." | | 4 | "The rooftops blurred together—gravel, tar, satellite dishes, the occasional flicker of a television screen through an open window." | | 5 | "And if he was connected to the clique—if he knew anything about what had happened to Morris—she couldn’t let him slip through her fingers." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 840 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02976190476190476 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005952380952380952 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 10.41 | | std | 6.26 | | cv | 0.602 | | sampleLengths | | 0 | 15 | | 1 | 19 | | 2 | 18 | | 3 | 20 | | 4 | 3 | | 5 | 15 | | 6 | 29 | | 7 | 14 | | 8 | 10 | | 9 | 5 | | 10 | 17 | | 11 | 14 | | 12 | 13 | | 13 | 17 | | 14 | 4 | | 15 | 15 | | 16 | 3 | | 17 | 1 | | 18 | 17 | | 19 | 10 | | 20 | 13 | | 21 | 16 | | 22 | 15 | | 23 | 8 | | 24 | 14 | | 25 | 7 | | 26 | 19 | | 27 | 10 | | 28 | 2 | | 29 | 4 | | 30 | 18 | | 31 | 14 | | 32 | 9 | | 33 | 2 | | 34 | 12 | | 35 | 3 | | 36 | 16 | | 37 | 7 | | 38 | 4 | | 39 | 4 | | 40 | 22 | | 41 | 6 | | 42 | 5 | | 43 | 10 | | 44 | 5 | | 45 | 11 | | 46 | 9 | | 47 | 12 | | 48 | 7 | | 49 | 17 |
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| 42.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.26506024096385544 | | totalSentences | 83 | | uniqueOpeners | 22 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 75 | | matches | | 0 | "Then he was gone." | | 1 | "Then the suspect vanished again." | | 2 | "Then he turned and disappeared" |
| | ratio | 0.04 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 75 | | matches | | 0 | "He ducked left into a" | | 1 | "She followed, her leather watch" | | 2 | "She was gaining on him." | | 3 | "He cut across the road," | | 4 | "She wiped it away, scanning" | | 5 | "he said, his voice shaking" | | 6 | "His eyes darted past her," | | 7 | "She didn’t believe him." | | 8 | "He bolted, sprinting toward the" | | 9 | "She followed, her boots slipping" | | 10 | "She didn’t let herself think" | | 11 | "She jumped, her fingers scraping" | | 12 | "He didn’t run." | | 13 | "She knew this place." | | 14 | "he said, his voice barely" | | 15 | "She took the first step" | | 16 | "She took another step." |
| | ratio | 0.227 | |
| 53.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 75 | | matches | | 0 | "The neon sign flickered above" | | 1 | "Detective Harlow Quinn's boots splashed" | | 2 | "The suspect—lean, fast, and currently" | | 3 | "He ducked left into a" | | 4 | "Quinn didn’t hesitate." | | 5 | "She followed, her leather watch" | | 6 | "The alley spat them out" | | 7 | "The suspect weaved through the" | | 8 | "Curry spilled across the pavement," | | 9 | "She was gaining on him." | | 10 | "The suspect’s jacket flapped behind" | | 11 | "He cut across the road," | | 12 | "Quinn cursed under her breath" | | 13 | "The rain had turned the" | | 14 | "Quinn skidded to a stop" | | 15 | "A dead end?" | | 16 | "A rusted fire escape clung" | | 17 | "The suspect was already halfway" | | 18 | "Quinn grabbed the bottom rung" | | 19 | "The fire escape groaned under" |
| | ratio | 0.813 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 90.59% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 3 | | matches | | 0 | "The suspect stood at the edge, his back to her, his shoulders rising and falling with each ragged breath." | | 1 | "The suspect was already moving again, his silhouette disappearing into the darkness ahead." | | 2 | "Below her, a narrow alley stretched into darkness, the kind of place that swallowed light whole." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn called, her voice steady despite the adrenaline" | | 1 | "he said, his voice shaking" | | 2 | "he said, his voice barely audible over the rain" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |