| 90.91% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 3 | | adverbTags | | 0 | "she said quietly [quietly]" | | 1 | "she said again [again]" | | 2 | "he said quietly [quietly]" |
| | dialogueSentences | 55 | | tagDensity | 0.345 | | leniency | 0.691 | | rawRatio | 0.158 | | effectiveRatio | 0.109 | |
| 80.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1263 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "softly" | | 1 | "slowly" | | 2 | "slightly" | | 3 | "really" |
| |
| 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) | |
| 68.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1263 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "velvet" | | 1 | "echoing" | | 2 | "glinting" | | 3 | "silence" | | 4 | "eyebrow" | | 5 | "familiar" | | 6 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "the air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 77 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 77 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 9 | | totalWords | 1250 | | ratio | 0.007 | | matches | | 0 | "The Raven’s Nest" | | 1 | "clink" | | 2 | "this" | | 3 | "everything" | | 4 | "sacrificed" | | 5 | "saved" | | 6 | "chose" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.51% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 762 | | uniqueNames | 7 | | maxNameDensity | 1.05 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Soho | 1 | | Silas | 8 | | Nest | 2 | | Aurora | 6 | | Istanbul | 1 | | Silence | 1 |
| | persons | | 0 | "Raven" | | 1 | "Silas" | | 2 | "Nest" | | 3 | "Aurora" | | 4 | "Silence" |
| | places | | | globalScore | 0.975 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 40.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.6 | | wordCount | 1250 | | matches | | 0 | "not anger, not blame, but grief" | | 1 | "not blame, but grief" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 21.93 | | std | 21.45 | | cv | 0.978 | | sampleLengths | | 0 | 132 | | 1 | 29 | | 2 | 2 | | 3 | 56 | | 4 | 13 | | 5 | 23 | | 6 | 49 | | 7 | 22 | | 8 | 29 | | 9 | 53 | | 10 | 5 | | 11 | 9 | | 12 | 20 | | 13 | 8 | | 14 | 18 | | 15 | 33 | | 16 | 5 | | 17 | 65 | | 18 | 5 | | 19 | 16 | | 20 | 4 | | 21 | 4 | | 22 | 45 | | 23 | 12 | | 24 | 64 | | 25 | 8 | | 26 | 29 | | 27 | 12 | | 28 | 8 | | 29 | 33 | | 30 | 16 | | 31 | 30 | | 32 | 12 | | 33 | 9 | | 34 | 37 | | 35 | 18 | | 36 | 8 | | 37 | 23 | | 38 | 6 | | 39 | 13 | | 40 | 29 | | 41 | 3 | | 42 | 3 | | 43 | 13 | | 44 | 11 | | 45 | 18 | | 46 | 10 | | 47 | 25 | | 48 | 22 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 77 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 138 | | matches | | 0 | "was nearly closing" | | 1 | "was reading" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 112 | | ratio | 0.08 | | matches | | 0 | "Aurora sat at the far end of the bar, nursing a glass of ginger beer with lime—no alcohol tonight, not after the long ride across town on her delivery moped." | | 1 | "Not much made Silas flinch—years in the field had stripped reflexes of theatrics—but something about the woman who stepped inside, shaking water from her coat, stopped him mid-motion." | | 2 | "The few patrons—a couple in the corner booth, a man reading by the fireplace—were absorbed in their own worlds." | | 3 | "The night Silas disappeared from the agency—and from her life—after the op went sideways." | | 4 | "Aurora looked away, toward the wall of old photographs—faces half-forgotten, missions buried under layers of red tape and denial." | | 5 | "They looked at each other, and for the first time, something cracked—not anger, not blame, but grief." | | 6 | "But different now—lighter, edged with the familiar rhythm of old trust." | | 7 | "Silas reached into his jacket, pulled out an envelope—thin, unmarked, sealed with wax stamped with a raven." | | 8 | "Inside, two ghosts from the same war sat across from each other, not whole, not healed—but present." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 776 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.03994845360824742 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.015463917525773196 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 11.16 | | std | 8.48 | | cv | 0.76 | | sampleLengths | | 0 | 22 | | 1 | 25 | | 2 | 30 | | 3 | 24 | | 4 | 31 | | 5 | 15 | | 6 | 14 | | 7 | 2 | | 8 | 28 | | 9 | 28 | | 10 | 13 | | 11 | 16 | | 12 | 7 | | 13 | 14 | | 14 | 19 | | 15 | 16 | | 16 | 12 | | 17 | 10 | | 18 | 11 | | 19 | 2 | | 20 | 2 | | 21 | 14 | | 22 | 19 | | 23 | 21 | | 24 | 13 | | 25 | 5 | | 26 | 4 | | 27 | 5 | | 28 | 20 | | 29 | 6 | | 30 | 2 | | 31 | 7 | | 32 | 11 | | 33 | 4 | | 34 | 3 | | 35 | 12 | | 36 | 14 | | 37 | 3 | | 38 | 2 | | 39 | 8 | | 40 | 11 | | 41 | 1 | | 42 | 2 | | 43 | 2 | | 44 | 14 | | 45 | 20 | | 46 | 7 | | 47 | 5 | | 48 | 5 | | 49 | 11 |
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| 55.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.375 | | totalSentences | 112 | | uniqueOpeners | 42 | |
| 55.56% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 60 | | matches | | | ratio | 0.017 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 60 | | matches | | 0 | "She’d pulled her black hair" | | 1 | "Her jacket was still damp" | | 2 | "He paused when the door" | | 3 | "She had her head down," | | 4 | "he said, and his voice," | | 5 | "she replied, her voice steady," | | 6 | "He set the glass down" | | 7 | "It was nearly closing time," | | 8 | "he said, recovering" | | 9 | "She took a seat three" | | 10 | "He stopped a few feet" | | 11 | "She gave a small, humorless" | | 12 | "He gestured to the stool" | | 13 | "She moved, but slowly." | | 14 | "He’d pulled her out, dragged" | | 15 | "She’d spent months wondering if" | | 16 | "she said quietly" | | 17 | "She hadn’t known the photo" | | 18 | "He leaned against the bar," | | 19 | "Her eyes snapped to his." |
| | ratio | 0.55 | |
| 51.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 60 | | matches | | 0 | "The green glow of *The" | | 1 | "Aurora sat at the far" | | 2 | "She’d pulled her black hair" | | 3 | "Her jacket was still damp" | | 4 | "Silas stood behind the bar," | | 5 | "He paused when the door" | | 6 | "She had her head down," | | 7 | "he said, and his voice," | | 8 | "she replied, her voice steady," | | 9 | "He set the glass down" | | 10 | "The few patrons—a couple in" | | 11 | "It was nearly closing time," | | 12 | "he said, recovering" | | 13 | "She took a seat three" | | 14 | "Silas limped around the end" | | 15 | "He stopped a few feet" | | 16 | "The signet ring on his" | | 17 | "She gave a small, humorless" | | 18 | "He gestured to the stool" | | 19 | "She moved, but slowly." |
| | ratio | 0.817 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "Not much made Silas flinch—years in the field had stripped reflexes of theatrics—but something about the woman who stepped inside, shaking water from her coat, …" | | 1 | "The quiet, aching kind that comes from loving someone who was never really gone but might as well have been." |
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| 19.74% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 4 | | matches | | 0 | "He leaned, his voice low" | | 1 | "he said, firm" | | 2 | "she said, voice rising slightly" | | 3 | "she said again, not accusing, just weary" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 18 | | fancyCount | 1 | | fancyTags | | 0 | "he interrupted (interrupt)" |
| | dialogueSentences | 55 | | tagDensity | 0.327 | | leniency | 0.655 | | rawRatio | 0.056 | | effectiveRatio | 0.036 | |