| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 31 | | adverbTagCount | 3 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "he said quietly [quietly]" | | 2 | "He leaned back [back]" |
| | dialogueSentences | 76 | | tagDensity | 0.408 | | leniency | 0.816 | | rawRatio | 0.097 | | effectiveRatio | 0.079 | |
| 81.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1664 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slowly" | | 1 | "really" | | 2 | "slightly" | | 3 | "precisely" | | 4 | "lightly" |
| |
| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 54.93% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1664 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "familiar" | | 1 | "flicked" | | 2 | "velvet" | | 3 | "footsteps" | | 4 | "echoed" | | 5 | "weight" | | 6 | "traced" | | 7 | "silence" | | 8 | "predictable" | | 9 | "flickered" | | 10 | "tracing" | | 11 | "fractured" | | 12 | "constructed" |
| |
| 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 | 142 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 142 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 187 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 64 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1664 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1062 | | uniqueNames | 14 | | maxNameDensity | 0.85 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Soho | 1 | | Rory | 9 | | Eastern | 1 | | Europe | 1 | | Yugoslavia | 1 | | Silas | 4 | | Cian | 8 | | Gold | 1 | | Earl | 1 | | Grey | 1 | | Thick | 1 | | Evan | 1 | | Yu-Fei | 1 | | Didn | 3 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Cian" | | 3 | "Earl" | | 4 | "Grey" | | 5 | "Evan" | | 6 | "Yu-Fei" |
| | places | | 0 | "Soho" | | 1 | "Eastern" | | 2 | "Europe" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1664 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 187 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 25.21 | | std | 21.15 | | cv | 0.839 | | sampleLengths | | 0 | 78 | | 1 | 78 | | 2 | 81 | | 3 | 74 | | 4 | 9 | | 5 | 6 | | 6 | 44 | | 7 | 21 | | 8 | 20 | | 9 | 11 | | 10 | 37 | | 11 | 28 | | 12 | 29 | | 13 | 13 | | 14 | 36 | | 15 | 40 | | 16 | 15 | | 17 | 20 | | 18 | 24 | | 19 | 37 | | 20 | 17 | | 21 | 13 | | 22 | 21 | | 23 | 3 | | 24 | 7 | | 25 | 37 | | 26 | 12 | | 27 | 8 | | 28 | 20 | | 29 | 35 | | 30 | 16 | | 31 | 7 | | 32 | 45 | | 33 | 58 | | 34 | 4 | | 35 | 20 | | 36 | 6 | | 37 | 32 | | 38 | 6 | | 39 | 30 | | 40 | 7 | | 41 | 4 | | 42 | 13 | | 43 | 9 | | 44 | 62 | | 45 | 6 | | 46 | 32 | | 47 | 2 | | 48 | 20 | | 49 | 2 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 142 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 209 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 187 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 894 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.039149888143176735 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.011185682326621925 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 187 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 187 | | mean | 8.9 | | std | 7.62 | | cv | 0.857 | | sampleLengths | | 0 | 13 | | 1 | 17 | | 2 | 8 | | 3 | 15 | | 4 | 25 | | 5 | 14 | | 6 | 12 | | 7 | 6 | | 8 | 10 | | 9 | 10 | | 10 | 15 | | 11 | 9 | | 12 | 2 | | 13 | 6 | | 14 | 28 | | 15 | 14 | | 16 | 12 | | 17 | 21 | | 18 | 10 | | 19 | 4 | | 20 | 2 | | 21 | 6 | | 22 | 8 | | 23 | 3 | | 24 | 19 | | 25 | 22 | | 26 | 9 | | 27 | 5 | | 28 | 1 | | 29 | 11 | | 30 | 5 | | 31 | 19 | | 32 | 9 | | 33 | 17 | | 34 | 4 | | 35 | 14 | | 36 | 6 | | 37 | 8 | | 38 | 3 | | 39 | 8 | | 40 | 14 | | 41 | 15 | | 42 | 23 | | 43 | 5 | | 44 | 5 | | 45 | 24 | | 46 | 7 | | 47 | 6 | | 48 | 15 | | 49 | 21 |
| |
| 77.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4919786096256685 | | totalSentences | 187 | | uniqueOpeners | 92 | |
| 56.98% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 117 | | matches | | 0 | "Just separate beds." | | 1 | "Somewhere down the block, a" |
| | ratio | 0.017 | |
| 45.64% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 117 | | matches | | 0 | "Her boots squeaked against the" | | 1 | "She shook her head, sending" | | 2 | "His hazel eyes flicked upward," | | 3 | "He set the glass down" | | 4 | "His silver signet ring caught" | | 5 | "he murmured, voice gravel wrapped" | | 6 | "She moved past the pool" | | 7 | "She slid into a chair," | | 8 | "She waited for the kettle" | | 9 | "She turned slowly." | | 10 | "His hair had thinned at" | | 11 | "She kept her posture straight." | | 12 | "He approached the table, hesitated," | | 13 | "He removed his hat, ran" | | 14 | "She traced the rim of" | | 15 | "His gaze swept over her" | | 16 | "She lifted her eyes" | | 17 | "He smiled, but it didn’t" | | 18 | "He leaned forward, elbows resting" | | 19 | "Her tone stayed level, but" |
| | ratio | 0.436 | |
| 11.28% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 105 | | totalSentences | 117 | | matches | | 0 | "The green neon sign buzzed" | | 1 | "Rory pushed through the heavy" | | 2 | "Her boots squeaked against the" | | 3 | "She shook her head, sending" | | 4 | "The air inside carried the" | | 5 | "Silas stood behind the curved" | | 6 | "His hazel eyes flicked upward," | | 7 | "A slow nod acknowledged her" | | 8 | "He set the glass down" | | 9 | "A fresh towel landed on" | | 10 | "His silver signet ring caught" | | 11 | "he murmured, voice gravel wrapped" | | 12 | "Rory nodded, grateful for the" | | 13 | "She moved past the pool" | | 14 | "She slid into a chair," | | 15 | "The crescent scar on her" | | 16 | "She waited for the kettle" | | 17 | "Footsteps echoed from the stairwell" | | 18 | "Light, hurried, then hesitant." | | 19 | "The cadence belonged to someone" |
| | ratio | 0.897 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 117 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 2 | | matches | | 0 | "She shook her head, sending droplets flying from straight black hair plastered to her cheekbones." | | 1 | "The words unfolded steadily, tracing the architecture of a shared past that hadn’t vanished so much as fractured." |
| |
| 76.61% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 31 | | uselessAdditionCount | 3 | | matches | | 0 | "He leaned, elbows resting on the wooden surface" | | 1 | "Her tone stayed, but her thumb found the scar on her wrist again" | | 2 | "Cian said, voice barely above the bar’s ambient hum" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "he murmured (murmur)" |
| | dialogueSentences | 76 | | tagDensity | 0.118 | | leniency | 0.237 | | rawRatio | 0.222 | | effectiveRatio | 0.053 | |