| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 55 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1285 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 68.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1285 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "pulse" | | 1 | "scanned" | | 2 | "traced" | | 3 | "weight" | | 4 | "silence" | | 5 | "reminder" | | 6 | "familiar" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 63 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1277 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 541 | | uniqueNames | 7 | | maxNameDensity | 2.77 | | worstName | "Silas" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 3 | | Rory | 12 | | Blackwood | 1 | | Silas | 15 | | Prague | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Blackwood" | | 4 | "Silas" |
| | places | | | globalScore | 0.114 | | windowScore | 0 | |
| 66.67% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 30 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.783 | | wordCount | 1277 | | matches | | 0 | "not with fear, but with a cold assessment she had learned to wear" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 25.54 | | std | 21.34 | | cv | 0.836 | | sampleLengths | | 0 | 99 | | 1 | 70 | | 2 | 4 | | 3 | 65 | | 4 | 9 | | 5 | 6 | | 6 | 7 | | 7 | 3 | | 8 | 3 | | 9 | 29 | | 10 | 9 | | 11 | 10 | | 12 | 12 | | 13 | 11 | | 14 | 10 | | 15 | 30 | | 16 | 27 | | 17 | 14 | | 18 | 47 | | 19 | 14 | | 20 | 34 | | 21 | 8 | | 22 | 60 | | 23 | 26 | | 24 | 8 | | 25 | 5 | | 26 | 46 | | 27 | 36 | | 28 | 9 | | 29 | 7 | | 30 | 14 | | 31 | 35 | | 32 | 31 | | 33 | 7 | | 34 | 62 | | 35 | 11 | | 36 | 40 | | 37 | 42 | | 38 | 45 | | 39 | 4 | | 40 | 24 | | 41 | 21 | | 42 | 55 | | 43 | 12 | | 44 | 20 | | 45 | 39 | | 46 | 20 | | 47 | 15 | | 48 | 8 | | 49 | 54 |
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| 99.69% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 63 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 100 | | matches | (empty) | |
| 84.55% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 98 | | ratio | 0.02 | | matches | | 0 | "Black-and-white photographs lined the brick—strangers in sharp collars, women with hard mouths—all of them watching." | | 1 | "The small crescent-shaped scar on her left wrist—pale, untouched—rested against the bar top as she slid onto the stool." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 550 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 13 | | adverbRatio | 0.023636363636363636 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.007272727272727273 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 13.03 | | std | 11.36 | | cv | 0.872 | | sampleLengths | | 0 | 29 | | 1 | 15 | | 2 | 12 | | 3 | 15 | | 4 | 28 | | 5 | 17 | | 6 | 24 | | 7 | 19 | | 8 | 4 | | 9 | 4 | | 10 | 2 | | 11 | 4 | | 12 | 5 | | 13 | 21 | | 14 | 20 | | 15 | 19 | | 16 | 6 | | 17 | 3 | | 18 | 6 | | 19 | 4 | | 20 | 3 | | 21 | 3 | | 22 | 3 | | 23 | 7 | | 24 | 13 | | 25 | 9 | | 26 | 9 | | 27 | 5 | | 28 | 5 | | 29 | 9 | | 30 | 3 | | 31 | 11 | | 32 | 4 | | 33 | 6 | | 34 | 7 | | 35 | 23 | | 36 | 27 | | 37 | 10 | | 38 | 4 | | 39 | 13 | | 40 | 34 | | 41 | 14 | | 42 | 7 | | 43 | 27 | | 44 | 8 | | 45 | 2 | | 46 | 14 | | 47 | 44 | | 48 | 6 | | 49 | 20 |
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| 40.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.2755102040816326 | | totalSentences | 98 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 80.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 40 | | matches | | 0 | "She had not crossed this" | | 1 | "His grey-streaked auburn hair was" | | 2 | "His hazel eyes lifted." | | 3 | "They did not widen." | | 4 | "Her bright blue eyes scanned" | | 5 | "She looked at him." | | 6 | "He poured two fingers of" | | 7 | "She did not lift it." | | 8 | "She covered her wrist with" | | 9 | "He wiped a spot on" | | 10 | "She looked at the photographs" | | 11 | "She drank again, slower." | | 12 | "She stopped with her hand" | | 13 | "She pushed through the door" |
| | ratio | 0.35 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 40 | | matches | | 0 | "The green neon sign of" | | 1 | "She had not crossed this" | | 2 | "Silas Blackwood stood behind the" | | 3 | "His grey-streaked auburn hair was" | | 4 | "The silver signet ring on" | | 5 | "His hazel eyes lifted." | | 6 | "They did not widen." | | 7 | "Rory pulled her coat tighter." | | 8 | "The straight black hair that" | | 9 | "Her bright blue eyes scanned" | | 10 | "The small crescent-shaped scar on" | | 11 | "She looked at him." | | 12 | "Silas reached for a bottle" | | 13 | "He poured two fingers of" | | 14 | "The glass caught the light." | | 15 | "She did not lift it." | | 16 | "Rory traced the rim of" | | 17 | "She covered her wrist with" | | 18 | "He wiped a spot on" | | 19 | "Silas’s hand stilled over the" |
| | ratio | 0.925 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 1 | | matches | | 0 | "The limp was slight but permanent, a reminder of Prague, of failure, of retirement that was never really retirement." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 19 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 55 | | tagDensity | 0.345 | | leniency | 0.691 | | rawRatio | 0 | | effectiveRatio | 0 | |