| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 73 | | tagDensity | 0.233 | | leniency | 0.466 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1339 | | totalAiIsmAdverbs | 1 | | 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) | |
| 21.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1339 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "flicker" | | 1 | "porcelain" | | 2 | "stomach" | | 3 | "traced" | | 4 | "flicked" | | 5 | "measured" | | 6 | "pulse" | | 7 | "quickened" | | 8 | "tracing" | | 9 | "silence" | | 10 | "trembled" | | 11 | "wavered" | | 12 | "weight" | | 13 | "flickered" | | 14 | "warmth" | | 15 | "echoed" | | 16 | "thundered" | | 17 | "shattered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 156 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 156 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 211 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1335 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 83 | | wordCount | 965 | | uniqueNames | 8 | | maxNameDensity | 4.04 | | worstName | "Aurora" | | maxWindowNameDensity | 7 | | worstWindowName | "Lydia" | | discoveredNames | | Carter | 1 | | Aurora | 39 | | Atkins | 1 | | Cambridge | 1 | | Lydia | 29 | | Silas | 10 | | London | 1 | | Evan | 1 |
| | persons | | 0 | "Carter" | | 1 | "Aurora" | | 2 | "Atkins" | | 3 | "Lydia" | | 4 | "Silas" | | 5 | "Evan" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 1 | | matches | | 0 | "as though weighing her words" |
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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 | 1335 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 211 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 75 | | mean | 17.8 | | std | 9.08 | | cv | 0.51 | | sampleLengths | | 0 | 31 | | 1 | 57 | | 2 | 22 | | 3 | 17 | | 4 | 42 | | 5 | 20 | | 6 | 11 | | 7 | 24 | | 8 | 20 | | 9 | 21 | | 10 | 18 | | 11 | 13 | | 12 | 26 | | 13 | 22 | | 14 | 18 | | 15 | 20 | | 16 | 25 | | 17 | 27 | | 18 | 17 | | 19 | 30 | | 20 | 12 | | 21 | 11 | | 22 | 31 | | 23 | 16 | | 24 | 14 | | 25 | 30 | | 26 | 24 | | 27 | 20 | | 28 | 10 | | 29 | 13 | | 30 | 19 | | 31 | 6 | | 32 | 13 | | 33 | 11 | | 34 | 22 | | 35 | 10 | | 36 | 3 | | 37 | 16 | | 38 | 18 | | 39 | 13 | | 40 | 19 | | 41 | 11 | | 42 | 16 | | 43 | 7 | | 44 | 21 | | 45 | 25 | | 46 | 8 | | 47 | 22 | | 48 | 15 | | 49 | 18 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 156 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 195 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 211 | | ratio | 0.009 | | matches | | 0 | "A lock of dark hair—shoulder length once, Aurora had remembered—fell across a porcelain face." | | 1 | "Then he moved behind them, retrieving a whiskey decanter from a shelf lined with antique maps—a silent exit." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 969 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 17 | | adverbRatio | 0.017543859649122806 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0030959752321981426 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 211 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 211 | | mean | 6.33 | | std | 3.84 | | cv | 0.607 | | sampleLengths | | 0 | 1 | | 1 | 7 | | 2 | 12 | | 3 | 11 | | 4 | 2 | | 5 | 15 | | 6 | 14 | | 7 | 4 | | 8 | 22 | | 9 | 10 | | 10 | 2 | | 11 | 6 | | 12 | 4 | | 13 | 9 | | 14 | 8 | | 15 | 5 | | 16 | 13 | | 17 | 9 | | 18 | 10 | | 19 | 4 | | 20 | 1 | | 21 | 10 | | 22 | 10 | | 23 | 9 | | 24 | 2 | | 25 | 2 | | 26 | 5 | | 27 | 10 | | 28 | 7 | | 29 | 8 | | 30 | 8 | | 31 | 4 | | 32 | 9 | | 33 | 6 | | 34 | 6 | | 35 | 6 | | 36 | 6 | | 37 | 6 | | 38 | 3 | | 39 | 8 | | 40 | 2 | | 41 | 6 | | 42 | 4 | | 43 | 4 | | 44 | 12 | | 45 | 10 | | 46 | 4 | | 47 | 8 | | 48 | 4 | | 49 | 5 |
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| 47.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.2796208530805687 | | totalSentences | 211 | | uniqueOpeners | 59 | |
| 68.49% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 146 | | matches | | 0 | "Then he moved behind them," | | 1 | "Only the hum of unseen" | | 2 | "Instead she found raw edges," |
| | ratio | 0.021 | |
| 96.71% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 146 | | matches | | 0 | "He knew surprises roamed these" | | 1 | "She wore plain jeans and" | | 2 | "She hadn’t expected to show" | | 3 | "Her voice stayed calm." | | 4 | "Her old friend tucked a" | | 5 | "She glanced at Silas, who" | | 6 | "She finally slid the glass" | | 7 | "Her fingertips left a pale" | | 8 | "Her fingers wrapped around the" | | 9 | "She didn’t wait for an" | | 10 | "She tilted the bottle." | | 11 | "Her voice dropped, intimate." | | 12 | "It felt too late." | | 13 | "He offered a slight nod." | | 14 | "She swirled it, watching light" | | 15 | "She glanced up, measured" | | 16 | "She unwrapped the collar of" | | 17 | "She rubbed her wrist, tracing" | | 18 | "They sat in a silence" | | 19 | "Her voice cracked, careful" |
| | ratio | 0.308 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 136 | | totalSentences | 146 | | matches | | 0 | "Aurora Carter’s heart thudded against" | | 1 | "A lime-green flicker from the" | | 2 | "Glass in hand, she paused" | | 3 | "The stranger at the far" | | 4 | "A lock of dark hair—shoulder" | | 5 | "Recognition knotted her stomach." | | 6 | "Lydia Atkins, last seen beside" | | 7 | "Silas, polishing a glass with" | | 8 | "He knew surprises roamed these" | | 9 | "This one felt jagged." | | 10 | "Lydia’s brows rose, blue eyes" | | 11 | "Aurora set the glass down." | | 12 | "She wore plain jeans and" | | 13 | "A small crescent scar peeked" | | 14 | "She hadn’t expected to show" | | 15 | "Her voice stayed calm." | | 16 | "Her old friend tucked a" | | 17 | "The words sounded rehearsed" | | 18 | "Aurora gestured toward the neon" | | 19 | "The sound was polite, wary." |
| | ratio | 0.932 | |
| 34.25% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 146 | | matches | | 0 | "Before she could ask, the" |
| | ratio | 0.007 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 2 | | matches | | 0 | "Lydia Atkins, last seen beside a Cambridge lecture hall, now perched on a high stool as though it were a gilded throne." | | 1 | "Lydia’s gaze flicked to Silas, who was now straightening bar stools with deliberate slowness." |
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| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "She glanced, measured" | | 1 | "Her voice cracked, careful" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |