| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.421 | | leniency | 0.842 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1508 | | 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) | |
| 60.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1508 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "flickered" | | 1 | "silence" | | 2 | "footsteps" | | 3 | "weight" | | 4 | "flicked" | | 5 | "traced" | | 6 | "pulse" |
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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 | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 78 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1510 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 78.66% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 771 | | uniqueNames | 13 | | maxNameDensity | 1.43 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Carter | 1 | | Turkish | 1 | | Silas | 8 | | Blackwood | 1 | | Cardiff | 1 | | Rory | 11 | | Eva | 1 | | Evan | 1 | | Silence | 1 | | Heat | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Silas" | | 4 | "Blackwood" | | 5 | "Rory" | | 6 | "Eva" | | 7 | "Evan" | | 8 | "Silence" | | 9 | "Heat" |
| | places | | | globalScore | 0.787 | | 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 | 1 | | per1kWords | 0.662 | | wordCount | 1510 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 35.12 | | std | 22.19 | | cv | 0.632 | | sampleLengths | | 0 | 93 | | 1 | 16 | | 2 | 2 | | 3 | 15 | | 4 | 5 | | 5 | 59 | | 6 | 41 | | 7 | 17 | | 8 | 15 | | 9 | 37 | | 10 | 38 | | 11 | 46 | | 12 | 15 | | 13 | 67 | | 14 | 35 | | 15 | 45 | | 16 | 22 | | 17 | 24 | | 18 | 20 | | 19 | 28 | | 20 | 48 | | 21 | 5 | | 22 | 34 | | 23 | 29 | | 24 | 63 | | 25 | 15 | | 26 | 74 | | 27 | 16 | | 28 | 47 | | 29 | 58 | | 30 | 16 | | 31 | 33 | | 32 | 34 | | 33 | 77 | | 34 | 23 | | 35 | 8 | | 36 | 43 | | 37 | 19 | | 38 | 79 | | 39 | 15 | | 40 | 23 | | 41 | 58 | | 42 | 53 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 136 | | matches | (empty) | |
| 83.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 97 | | ratio | 0.021 | | matches | | 0 | "Heat climbed Rory’s neck – not shame, something heavier and older." | | 1 | "Then the present reasserted itself – polished zinc, dusty charts, the dull ache of everything unsaid climbing between their ribs." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 776 | | adjectiveStacks | 1 | | stackExamples | | 0 | "single battered black notebook" |
| | adverbCount | 19 | | adverbRatio | 0.024484536082474227 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002577319587628866 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 15.57 | | std | 12.79 | | cv | 0.821 | | sampleLengths | | 0 | 16 | | 1 | 21 | | 2 | 22 | | 3 | 14 | | 4 | 20 | | 5 | 7 | | 6 | 9 | | 7 | 2 | | 8 | 6 | | 9 | 9 | | 10 | 5 | | 11 | 20 | | 12 | 8 | | 13 | 14 | | 14 | 17 | | 15 | 19 | | 16 | 22 | | 17 | 7 | | 18 | 10 | | 19 | 15 | | 20 | 10 | | 21 | 11 | | 22 | 16 | | 23 | 4 | | 24 | 4 | | 25 | 30 | | 26 | 7 | | 27 | 7 | | 28 | 32 | | 29 | 11 | | 30 | 4 | | 31 | 22 | | 32 | 12 | | 33 | 33 | | 34 | 8 | | 35 | 14 | | 36 | 13 | | 37 | 12 | | 38 | 4 | | 39 | 29 | | 40 | 7 | | 41 | 15 | | 42 | 13 | | 43 | 11 | | 44 | 2 | | 45 | 9 | | 46 | 9 | | 47 | 6 | | 48 | 22 | | 49 | 15 |
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| 64.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.3917525773195876 | | totalSentences | 97 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 63 | | matches | | 0 | "Then he spoke, slow and" | | 1 | "Then the present reasserted itself" |
| | ratio | 0.032 | |
| 99.37% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 63 | | matches | | 0 | "He turned, and for a" | | 1 | "She stopped three paces from" | | 2 | "He set the glass down" | | 3 | "He wiped both hands on" | | 4 | "He studied the collar of" | | 5 | "She heard Eva’s voice that" | | 6 | "He kept an empty for" | | 7 | "She lifted the glass, taste" | | 8 | "He looked older than fifty-eight" | | 9 | "He tapped the counter twice" | | 10 | "He glanced at his right" | | 11 | "He took the bottle and" | | 12 | "His glance flicked to the" | | 13 | "She kept her gaze level." | | 14 | "He rolled the glass between" | | 15 | "His voice lowered, not softer" | | 16 | "He held her gaze." | | 17 | "His knee cracked, a dry" | | 18 | "He set it between them" |
| | ratio | 0.302 | |
| 55.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 63 | | matches | | 0 | "The green neon bow of" | | 1 | "Rory Carter shoved the door" | | 2 | "The place looked smaller than" | | 3 | "He turned, and for a" | | 4 | "She stopped three paces from" | | 5 | "He set the glass down" | | 6 | "The old nickname landed like" | | 7 | "Rory had not answered to" | | 8 | "He wiped both hands on" | | 9 | "The silver signet ring caught" | | 10 | "The scar tissue around the" | | 11 | "He studied the collar of" | | 12 | "Rory dropped the bag on" | | 13 | "The crescent scar on her" | | 14 | "A bark of laughter escaped" | | 15 | "Silas slid opposite her and" | | 16 | "The number hung naked." | | 17 | "Rory’s fingers found a knothole" | | 18 | "She heard Eva’s voice that" | | 19 | "Silas poured two fingers of" |
| | ratio | 0.81 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 2 | | matches | | 0 | "He studied, the courier bag still strapped across her" | | 1 | "His voice lowered, not softer but denser" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.263 | | leniency | 0.526 | | rawRatio | 0 | | effectiveRatio | 0 | |