| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 5 | | adverbTags | | 0 | "corner tucked away [away]" | | 1 | "he said softly [softly]" | | 2 | "Rory asked suddenly [suddenly]" | | 3 | "Her voice hitched slightly [slightly]" | | 4 | "she said softly [softly]" |
| | dialogueSentences | 26 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.385 | | effectiveRatio | 0.385 | |
| 32.74% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1115 | | totalAiIsmAdverbs | 15 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | |
| | highlights | | 0 | "softly" | | 1 | "deliberately" | | 2 | "hesitantly" | | 3 | "slowly" | | 4 | "slightly" | | 5 | "lazily" | | 6 | "suddenly" | | 7 | "truly" | | 8 | "carefully" |
| |
| 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) | |
| 32.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1115 | | totalAiIsms | 15 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "voice hitched" | | count | 1 |
| | 10 | |
| | highlights | | 0 | "measured" | | 1 | "familiar" | | 2 | "flicker" | | 3 | "flicked" | | 4 | "gleaming" | | 5 | "unspoken" | | 6 | "weight" | | 7 | "silence" | | 8 | "reminder" | | 9 | "voice hitched" | | 10 | "flickered" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "a flicker of recognition" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 58 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 58 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 63 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1102 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.39% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 872 | | uniqueNames | 6 | | maxNameDensity | 1.03 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Silas | 9 | | Blackwood | 1 | | London | 2 | | Carter | 1 | | Rory | 7 | | Soho | 1 |
| | persons | | 0 | "Silas" | | 1 | "Blackwood" | | 2 | "Carter" | | 3 | "Rory" |
| | places | | | globalScore | 0.984 | | windowScore | 1 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 2 | | matches | | 0 | "quite fit the picture of who she’d once been" | | 1 | "quite reach her eyes" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1102 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 71 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 39.36 | | std | 23.09 | | cv | 0.587 | | sampleLengths | | 0 | 96 | | 1 | 60 | | 2 | 99 | | 3 | 42 | | 4 | 19 | | 5 | 22 | | 6 | 64 | | 7 | 7 | | 8 | 53 | | 9 | 52 | | 10 | 35 | | 11 | 19 | | 12 | 52 | | 13 | 17 | | 14 | 31 | | 15 | 25 | | 16 | 32 | | 17 | 36 | | 18 | 18 | | 19 | 27 | | 20 | 12 | | 21 | 54 | | 22 | 28 | | 23 | 67 | | 24 | 29 | | 25 | 49 | | 26 | 47 | | 27 | 10 |
| |
| 87.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 58 | | matches | | 0 | "was tucked" | | 1 | "was broken" | | 2 | "was interrupted" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 148 | | matches | | 0 | "was wiping" | | 1 | "was listening" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 71 | | ratio | 0.155 | | matches | | 0 | "Behind the bar, Silas Blackwood moved with the quiet precision of a man who’d seen too much—and chosen to forget some of it deliberately." | | 1 | "The first words that came to mind—quick, instinctual—were the familiar ones." | | 2 | "She hadn’t expected to come here tonight—least of all to run into anyone from her past." | | 3 | "His gaze lingered, narrowing subtly as his instincts—the ones honed in a darker life—kicked in." | | 4 | "Their quiet moment was interrupted by a glass sliding across the bar towards Rory—a gesture from Silas, silent but unmistakably welcoming." | | 5 | "She took it, grateful for the simplicity of the gesture, and took a sip of the drink—an old comfort she hadn’t realized she’d needed." | | 6 | "He nodded slowly, eyes crinkling at the corners, but there was a shadow behind them—an unspoken weight." | | 7 | "The smoke curled lazily between them, a fragile barrier or perhaps a bridge—she couldn’t tell which." | | 8 | "Outside the large window behind the bar, Soho hummed with life—clubs, street performers, the chaos of a city that never truly stopped." | | 9 | "Rory’s gaze flicked to the ring on his finger—an unspoken reminder of the life he’d built, the scars he carried, and perhaps the things he’d lost." | | 10 | "They shared a knowing, neither forcing the words, both understanding the weight of what wasn’t said—things that lingered just beneath the surface of their words, like old ghosts waiting to resurface." |
| |
| 66.36% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 889 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 60 | | adverbRatio | 0.06749156355455568 | | lyAdverbCount | 28 | | lyAdverbRatio | 0.031496062992125984 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 15.52 | | std | 9.1 | | cv | 0.586 | | sampleLengths | | 0 | 25 | | 1 | 24 | | 2 | 16 | | 3 | 31 | | 4 | 60 | | 5 | 2 | | 6 | 1 | | 7 | 1 | | 8 | 11 | | 9 | 23 | | 10 | 23 | | 11 | 16 | | 12 | 14 | | 13 | 8 | | 14 | 5 | | 15 | 15 | | 16 | 22 | | 17 | 19 | | 18 | 6 | | 19 | 15 | | 20 | 1 | | 21 | 10 | | 22 | 9 | | 23 | 21 | | 24 | 24 | | 25 | 7 | | 26 | 19 | | 27 | 18 | | 28 | 16 | | 29 | 13 | | 30 | 26 | | 31 | 13 | | 32 | 5 | | 33 | 25 | | 34 | 5 | | 35 | 16 | | 36 | 3 | | 37 | 21 | | 38 | 24 | | 39 | 7 | | 40 | 17 | | 41 | 14 | | 42 | 17 | | 43 | 17 | | 44 | 8 | | 45 | 6 | | 46 | 8 | | 47 | 18 | | 48 | 20 | | 49 | 16 |
| |
| 71.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.43661971830985913 | | totalSentences | 71 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 54 | | matches | | 0 | "His grey-streaked hair was tucked" | | 1 | "She paused momentarily, eyes flicking" | | 2 | "Her face was sharp, the" | | 3 | "She hadn’t expected to come" | | 4 | "She’d told herself repeatedly that" | | 5 | "His gaze lingered, narrowing subtly" | | 6 | "He set the glass down" | | 7 | "he said, voice low but" | | 8 | "She hesitated, then stepped forward" | | 9 | "Her voice was rough, unexpectedly" | | 10 | "He regarded her for a" | | 11 | "His beard was neatly trimmed," | | 12 | "he said softly, almost admiringly" | | 13 | "She shifted, hands trembling just" | | 14 | "His gaze flicked past her," | | 15 | "She nodded slowly, gaze distant." | | 16 | "Her voice softened, as if" | | 17 | "He studied her face, noting" | | 18 | "Their quiet moment was interrupted" | | 19 | "She took it, grateful for" |
| | ratio | 0.556 | |
| 6.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 54 | | matches | | 0 | "The dim light of the" | | 1 | "His grey-streaked hair was tucked" | | 2 | "Tonight, the usual murmur of" | | 3 | "The first words that came" | | 4 | "She paused momentarily, eyes flicking" | | 5 | "Her face was sharp, the" | | 6 | "She hadn’t expected to come" | | 7 | "She’d told herself repeatedly that" | | 8 | "Silas saw her at once." | | 9 | "His gaze lingered, narrowing subtly" | | 10 | "He set the glass down" | | 11 | "he said, voice low but" | | 12 | "She hesitated, then stepped forward" | | 13 | "Her voice was rough, unexpectedly" | | 14 | "He regarded her for a" | | 15 | "The years had carved different" | | 16 | "His beard was neatly trimmed," | | 17 | "The slight limp in his" | | 18 | "he said softly, almost admiringly" | | 19 | "Rory answered with a hint" |
| | ratio | 0.907 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 4 | | matches | | 0 | "Behind the bar, Silas Blackwood moved with the quiet precision of a man who’d seen too much—and chosen to forget some of it deliberately." | | 1 | "Tonight, the usual murmur of patrons was broken only occasionally by the clink of glasses or the low chuckle of a bartender who knew better than to ask too many…" | | 2 | "They shared a knowing, neither forcing the words, both understanding the weight of what wasn’t said—things that lingered just beneath the surface of their words…" | | 3 | "The smoky silence stretched between them, as if the bar itself was listening, holding onto their secrets as the neon sign outside flickered faintly in the night…" |
| |
| 9.62% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 3 | | matches | | 0 | "Silas replied, voice oily with subtle humor" | | 1 | "Her voice softened, as if the words had been creeping inside her for a long time" | | 2 | "Rory asked suddenly, voice almost trembling with curiosity and caution" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 26 | | tagDensity | 0.346 | | leniency | 0.692 | | rawRatio | 0.111 | | effectiveRatio | 0.077 | |