| 40.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said carefully [carefully]" | | 1 | "he said softly [softly]" |
| | dialogueSentences | 25 | | tagDensity | 0.44 | | leniency | 0.88 | | rawRatio | 0.182 | | effectiveRatio | 0.16 | |
| 64.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1138 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "sharply" | | 1 | "lazily" | | 2 | "tightly" | | 3 | "really" | | 4 | "carefully" | | 5 | "softly" | | 6 | "lightly" | | 7 | "truly" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1138 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "echoing" | | 1 | "stomach" | | 2 | "flickered" | | 3 | "trembled" | | 4 | "familiar" | | 5 | "silence" | | 6 | "unspoken" | | 7 | "shimmered" | | 8 | "gleaming" | | 9 | "traced" | | 10 | "flicked" | | 11 | "scanning" | | 12 | "intensity" | | 13 | "unreadable" | | 14 | "charged" | | 15 | "glinting" | | 16 | "predator" | | 17 | "weight" | | 18 | "reminder" | | 19 | "racing" | | 20 | "unravel" | | 21 | "could feel" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 80 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1132 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 948 | | uniqueNames | 4 | | maxNameDensity | 0.95 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Silas | 9 | | Blackwood | 2 | | Rory | 6 | | Cardiff | 1 |
| | persons | | 0 | "Silas" | | 1 | "Blackwood" | | 2 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 4 | | matches | | 0 | "quite reach his eyes" | | 1 | "as if holding something she shouldn’t" | | 2 | "sounded like a crack in old leather" | | 3 | "as if measuring the distance between past and present" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.883 | | wordCount | 1132 | | matches | | 0 | "neither those in her past nor" |
| |
| 83.33% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 80 | | matches | | 0 | "asking that, the" | | 1 | "knew that look " |
| |
| 98.45% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 35.38 | | std | 17.5 | | cv | 0.495 | | sampleLengths | | 0 | 20 | | 1 | 101 | | 2 | 26 | | 3 | 32 | | 4 | 52 | | 5 | 66 | | 6 | 25 | | 7 | 26 | | 8 | 51 | | 9 | 53 | | 10 | 12 | | 11 | 38 | | 12 | 27 | | 13 | 40 | | 14 | 30 | | 15 | 34 | | 16 | 53 | | 17 | 15 | | 18 | 29 | | 19 | 36 | | 20 | 16 | | 21 | 19 | | 22 | 22 | | 23 | 39 | | 24 | 19 | | 25 | 35 | | 26 | 22 | | 27 | 26 | | 28 | 50 | | 29 | 48 | | 30 | 36 | | 31 | 34 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 169 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 1 | | flaggedSentences | 12 | | totalSentences | 80 | | ratio | 0.15 | | matches | | 0 | "It was him — Silas Blackwood — the man whose face she’d thought about at odd hours, whose voice she’d replay like a half-forgotten tune lurking in the back of her mind." | | 1 | "The bar’s faint glow stretched across his face like old cloth—stained and frayed at the edges." | | 2 | "Part of Rory wondered if she had expected this—to see him here, of all places, another shadow in the ever-shifting city she’d tried to outrun." | | 3 | "Silas Blackwood, who used to be sharp as a blade, was now wearier—his hazel eyes clouded with memories that refused to settle." | | 4 | "She studied him, recalling the man he’d been — the confidant, the confidante, the man who’d whispered secrets through the dark hours of their youth—everything raw and reckless with promise." | | 5 | "She felt it all in the way her nerves tightened—him asking that, the unspoken history piled between them." | | 6 | "She turned her head to face the intruder—dark hair, sharp features, eyes that held a trace of intensity too deliberate to ignore." | | 7 | "She knew that look — predator’s eyes with a veneer of civility." | | 8 | "Rory’s fingers tightened on her glass, the tiny crescent scar on her wrist a reminder that some wounds never truly closed — neither those in her past nor those whispering in the present." | | 9 | "The years had not been kind to some; others had still kept their secrets buried under layers of dust and regret." | | 10 | "She could feel it — the imminent clash, the oncoming storm." | | 11 | "Now, the ghosts had returned, and they wanted something—she wasn’t sure what—but she knew, immediately, that whatever it was, it wouldn’t be gentle." |
| |
| 91.40% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 954 | | adjectiveStacks | 1 | | stackExamples | | 0 | "tall, broad-shouldered figure" |
| | adverbCount | 41 | | adverbRatio | 0.0429769392033543 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.018867924528301886 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 80 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 80 | | mean | 14.15 | | std | 7.12 | | cv | 0.503 | | sampleLengths | | 0 | 20 | | 1 | 32 | | 2 | 18 | | 3 | 26 | | 4 | 25 | | 5 | 12 | | 6 | 10 | | 7 | 4 | | 8 | 17 | | 9 | 11 | | 10 | 4 | | 11 | 18 | | 12 | 16 | | 13 | 4 | | 14 | 14 | | 15 | 17 | | 16 | 25 | | 17 | 24 | | 18 | 17 | | 19 | 8 | | 20 | 8 | | 21 | 9 | | 22 | 9 | | 23 | 13 | | 24 | 16 | | 25 | 22 | | 26 | 30 | | 27 | 11 | | 28 | 12 | | 29 | 12 | | 30 | 12 | | 31 | 16 | | 32 | 10 | | 33 | 8 | | 34 | 19 | | 35 | 4 | | 36 | 36 | | 37 | 14 | | 38 | 16 | | 39 | 16 | | 40 | 18 | | 41 | 12 | | 42 | 23 | | 43 | 5 | | 44 | 13 | | 45 | 15 | | 46 | 13 | | 47 | 5 | | 48 | 11 | | 49 | 22 |
| |
| 62.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3875 | | totalSentences | 80 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 1.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 66 | | matches | | 0 | "It was him — Silas" | | 1 | "His hazel eyes caught her" | | 2 | "He leaned against the bar," | | 3 | "His auburn hair had long" | | 4 | "She didn’t bother to ask" | | 5 | "His gaze flickered, surprised, then" | | 6 | "He paused, a beat too" | | 7 | "She stepped closer, silently noting" | | 8 | "Her hands trembled just enough" | | 9 | "She looked at him, really" | | 10 | "He finally broke the silence" | | 11 | "she said carefully, voice even" | | 12 | "She slid onto the empty" | | 13 | "He ran a hand through" | | 14 | "His voice was rough, threaded" | | 15 | "She studied him, recalling the" | | 16 | "She let her tone linger," | | 17 | "She looked into her glass," | | 18 | "He nodded, rubbing his chin" | | 19 | "She chuckled without humour." |
| | ratio | 0.545 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 66 | | matches | | 0 | "A chair scraped harshly against" | | 1 | "It was him — Silas" | | 2 | "His hazel eyes caught her" | | 3 | "He leaned against the bar," | | 4 | "His auburn hair had long" | | 5 | "Rory’s stomach twisted, but her" | | 6 | "She didn’t bother to ask" | | 7 | "Some things were implicit." | | 8 | "His gaze flickered, surprised, then" | | 9 | "He paused, a beat too" | | 10 | "She stepped closer, silently noting" | | 11 | "The bar’s faint glow stretched" | | 12 | "Her hands trembled just enough" | | 13 | "A tense silence unfurled between" | | 14 | "Part of Rory wondered if" | | 15 | "She looked at him, really" | | 16 | "He finally broke the silence" | | 17 | "she said carefully, voice even" | | 18 | "She slid onto the empty" | | 19 | "He ran a hand through" |
| | ratio | 0.924 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 66 | | matches | | 0 | "Now, fragments of that man" | | 1 | "Before she could answer, the" | | 2 | "Now, the ghosts had returned," |
| | ratio | 0.045 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 4 | | matches | | 0 | "Her hands trembled just enough to feel familiar, as if holding something she shouldn’t." | | 1 | "She studied him, recalling the man he’d been — the confidant, the confidante, the man who’d whispered secrets through the dark hours of their youth—everything r…" | | 2 | "Silas straightened, almost imperceptibly, as if measuring the distance between past and present." | | 3 | "She turned her head to face the intruder—dark hair, sharp features, eyes that held a trace of intensity too deliberate to ignore." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 4 | | matches | | 0 | "He paused, a beat too long, before offering a nod" | | 1 | "She let, a ghost of a smile flickering" | | 2 | "She looked into, the amber liquid gleaming like a warning" | | 3 | "the man said, voice smooth but edged with a faint menace" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.16 | | leniency | 0.32 | | rawRatio | 0 | | effectiveRatio | 0 | |