| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 695 | | 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) | |
| 35.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 695 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "flickered" | | 1 | "pulse" | | 2 | "fluttered" | | 3 | "weight" | | 4 | "footsteps" | | 5 | "echoing" | | 6 | "pulsed" | | 7 | "stomach" |
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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 | 72 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 72 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 686 | | ratio | 0.004 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 48.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 591 | | uniqueNames | 10 | | maxNameDensity | 2.03 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Raven | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Quinn | 12 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Tomás | 8 |
| | persons | | 0 | "Raven" | | 1 | "Herrera" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Quinn" | | 5 | "Market" | | 6 | "Tomás" |
| | places | | | globalScore | 0.485 | | windowScore | 0.667 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | 0 | "something like ozone and burnt copper" |
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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 | 686 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 25.41 | | std | 18.5 | | cv | 0.728 | | sampleLengths | | 0 | 76 | | 1 | 29 | | 2 | 56 | | 3 | 31 | | 4 | 39 | | 5 | 13 | | 6 | 9 | | 7 | 10 | | 8 | 21 | | 9 | 12 | | 10 | 53 | | 11 | 43 | | 12 | 5 | | 13 | 59 | | 14 | 5 | | 15 | 43 | | 16 | 10 | | 17 | 17 | | 18 | 24 | | 19 | 28 | | 20 | 13 | | 21 | 8 | | 22 | 16 | | 23 | 16 | | 24 | 10 | | 25 | 26 | | 26 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 72 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 107 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 82 | | ratio | 0.11 | | matches | | 0 | "The neon glow of a pub sign—*The Raven’s Nest*—flickered ahead, its green light bleeding into the wet pavement." | | 1 | "She’d lost him once already tonight—wouldn’t happen again." | | 2 | "A flash of movement—boots scuffing against metal." | | 3 | "Then—a scuffle." | | 4 | "Then he was gone—dropping over the side." | | 5 | "The air smelled of damp concrete and something older—something like ozone and burnt copper." | | 6 | "The crowd was a sea of shadows—figures in hooded cloaks, others with too many eyes, too many fingers." | | 7 | "Then—voices." | | 8 | "\"—told you not to lead her here!\" A man’s voice, sharp with anger." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 558 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.03225806451612903 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 8.37 | | std | 4.85 | | cv | 0.58 | | sampleLengths | | 0 | 15 | | 1 | 17 | | 2 | 18 | | 3 | 3 | | 4 | 23 | | 5 | 6 | | 6 | 10 | | 7 | 5 | | 8 | 8 | | 9 | 9 | | 10 | 16 | | 11 | 1 | | 12 | 7 | | 13 | 3 | | 14 | 13 | | 15 | 7 | | 16 | 8 | | 17 | 13 | | 18 | 4 | | 19 | 2 | | 20 | 2 | | 21 | 2 | | 22 | 10 | | 23 | 2 | | 24 | 18 | | 25 | 9 | | 26 | 9 | | 27 | 4 | | 28 | 3 | | 29 | 6 | | 30 | 3 | | 31 | 7 | | 32 | 9 | | 33 | 6 | | 34 | 6 | | 35 | 5 | | 36 | 7 | | 37 | 6 | | 38 | 14 | | 39 | 14 | | 40 | 3 | | 41 | 16 | | 42 | 11 | | 43 | 14 | | 44 | 10 | | 45 | 8 | | 46 | 5 | | 47 | 17 | | 48 | 18 | | 49 | 13 |
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| 43.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.2682926829268293 | | totalSentences | 82 | | uniqueOpeners | 22 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 62 | | matches | | 0 | "Then he was gone—dropping over" | | 1 | "Then the tunnel opened up." | | 2 | "Then a new voice, smooth" |
| | ratio | 0.048 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 62 | | matches | | 0 | "She didn’t slow." | | 1 | "Her fingers twitched near her" | | 2 | "She’d lost him once already" | | 3 | "She lunged forward, her boots" | | 4 | "She hauled herself up, rain" | | 5 | "His scarred forearm flexed as" | | 6 | "he said, voice low" | | 7 | "She didn’t hesitate." | | 8 | "She forced herself to walk," | | 9 | "She tilted her head toward" | | 10 | "She pushed past, her shoulder" | | 11 | "She edged closer, peering around" |
| | ratio | 0.194 | |
| 8.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 62 | | matches | | 0 | "The rain came down in" | | 1 | "Quinn’s boots splashed through puddles" | | 2 | "The neon glow of a" | | 3 | "She didn’t slow." | | 4 | "The suspect had ducked into" | | 5 | "Her fingers twitched near her" | | 6 | "The radio at her shoulder" | | 7 | "Backup would take too long." | | 8 | "She’d lost him once already" | | 9 | "The alley reeked of stale" | | 10 | "Quinn’s pulse hammered in her" | | 11 | "A flash of movement—boots scuffing" | | 12 | "A fire escape." | | 13 | "She lunged forward, her boots" | | 14 | "The suspect’s silhouette disappeared over" | | 15 | "She hauled herself up, rain" | | 16 | "The rooftop stretched before her," | | 17 | "A figure crouched near the" | | 18 | "The Saint Christopher medallion glinted" | | 19 | "His scarred forearm flexed as" |
| | ratio | 0.903 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 1 | | matches | | 0 | "She pushed past, her shoulder brushing against a stall selling jars of floating eyes." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, voice low" | | 1 | "the figure said, his voice carrying" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Tomás snapped (snap)" |
| | dialogueSentences | 16 | | tagDensity | 0.313 | | leniency | 0.625 | | rawRatio | 0.4 | | effectiveRatio | 0.25 | |