| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn’s eyes darted around [around]" |
| | dialogueSentences | 52 | | tagDensity | 0.481 | | leniency | 0.962 | | rawRatio | 0.04 | | effectiveRatio | 0.038 | |
| 90.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1083 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | 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 | 1083 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "down her spine" | | count | 1 |
| | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "dancing" | | 3 | "furrowed" | | 4 | "glinting" | | 5 | "chill" | | 6 | "racing" | | 7 | "sinister" | | 8 | "scanning" | | 9 | "etched" | | 10 | "down her spine" | | 11 | "pounding" | | 12 | "shimmered" | | 13 | "unwavering" | | 14 | "resolve" | | 15 | "echoing" | | 16 | "loomed" | | 17 | "furrowing" | | 18 | "flicker" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "shiver down spine" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 2 |
|
| | highlights | | 0 | "A shiver ran down her spine" | | 1 | "eyes widened" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 70 | | matches | | 0 | "a flicker of determination" |
| |
| 81.63% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1080 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 658 | | uniqueNames | 8 | | maxNameDensity | 3.19 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 21 | | Tube | 1 | | Camden | 1 | | Markham | 17 | | Suddenly | 1 | | Eva | 5 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Markham" | | 3 | "Eva" | | 4 | "Kowalski" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | 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 | 1080 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 25.12 | | std | 14.08 | | cv | 0.561 | | sampleLengths | | 0 | 57 | | 1 | 30 | | 2 | 35 | | 3 | 33 | | 4 | 50 | | 5 | 20 | | 6 | 57 | | 7 | 11 | | 8 | 35 | | 9 | 15 | | 10 | 41 | | 11 | 12 | | 12 | 38 | | 13 | 7 | | 14 | 40 | | 15 | 12 | | 16 | 45 | | 17 | 7 | | 18 | 11 | | 19 | 22 | | 20 | 8 | | 21 | 31 | | 22 | 17 | | 23 | 21 | | 24 | 33 | | 25 | 47 | | 26 | 8 | | 27 | 15 | | 28 | 26 | | 29 | 14 | | 30 | 21 | | 31 | 10 | | 32 | 39 | | 33 | 27 | | 34 | 19 | | 35 | 7 | | 36 | 26 | | 37 | 19 | | 38 | 24 | | 39 | 14 | | 40 | 26 | | 41 | 8 | | 42 | 42 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 70 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 132 | | matches | (empty) | |
| 52.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 95 | | ratio | 0.032 | | matches | | 0 | "The air hung heavy with the scent of damp concrete and something else—something metallic." | | 1 | "“Means there’s a rift nearby. This guy wasn’t just a victim; he was a player in something much larger.” Quinn’s eyes darted around the station, searching for any sign of the portal." | | 2 | "Quinn glanced at the compass; the needle spun wildly before settling again, pointing deeper into the alley." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 661 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.02118003025718608 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.009077155824508321 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 11.37 | | std | 6.39 | | cv | 0.562 | | sampleLengths | | 0 | 15 | | 1 | 14 | | 2 | 16 | | 3 | 12 | | 4 | 13 | | 5 | 17 | | 6 | 10 | | 7 | 13 | | 8 | 12 | | 9 | 12 | | 10 | 9 | | 11 | 12 | | 12 | 8 | | 13 | 27 | | 14 | 15 | | 15 | 5 | | 16 | 15 | | 17 | 7 | | 18 | 41 | | 19 | 9 | | 20 | 7 | | 21 | 4 | | 22 | 8 | | 23 | 9 | | 24 | 18 | | 25 | 15 | | 26 | 20 | | 27 | 6 | | 28 | 15 | | 29 | 12 | | 30 | 12 | | 31 | 10 | | 32 | 16 | | 33 | 7 | | 34 | 32 | | 35 | 8 | | 36 | 5 | | 37 | 7 | | 38 | 9 | | 39 | 21 | | 40 | 9 | | 41 | 6 | | 42 | 7 | | 43 | 7 | | 44 | 4 | | 45 | 11 | | 46 | 6 | | 47 | 5 | | 48 | 3 | | 49 | 5 |
| |
| 69.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.43157894736842106 | | totalSentences | 95 | | uniqueOpeners | 41 | |
| 48.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 69 | | matches | | 0 | "Suddenly, the wall shimmered, revealing" |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 69 | | matches | | 0 | "She adjusted her worn leather" | | 1 | "It was DS Markham, his" | | 2 | "He gestured to the token" | | 3 | "She turned the token over" | | 4 | "She pointed to the bruises" | | 5 | "She stepped closer, her heart" | | 6 | "She trailed off, her mind" | | 7 | "She reached out, her fingers" | | 8 | "she murmured, her heart pounding" | | 9 | "They emerged in a dimly" | | 10 | "They walked cautiously, the sounds" | | 11 | "she whispered, her hand resting" | | 12 | "She glanced at Markham, her" | | 13 | "She held up the compass" | | 14 | "She felt the weight of" | | 15 | "They would uncover the truth," |
| | ratio | 0.232 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 69 | | matches | | 0 | "Detective Harlow Quinn stepped into" | | 1 | "The air hung heavy with" | | 2 | "She adjusted her worn leather" | | 3 | "A flickering overhead light cast" | | 4 | "It was DS Markham, his" | | 5 | "Quinn approached, her sharp jawline" | | 6 | "The victim, a young man," | | 7 | "A bone token rested in" | | 8 | "Markham said, glancing up at" | | 9 | "He gestured to the token" | | 10 | "Quinn knelt beside the body," | | 11 | "She turned the token over" | | 12 | "Markham shrugged, his expression skeptical." | | 13 | "Quinn shook her head, her" | | 14 | "She pointed to the bruises" | | 15 | "Markham frowned, glancing back at" | | 16 | "Quinn stood, scanning the area" | | 17 | "The walls whispered secrets, the" | | 18 | "Markham’s voice held a hint" | | 19 | "Quinn’s eyes caught a glimmer" |
| | ratio | 0.928 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 13 | | matches | | 0 | "Markham asked, his tone shifting" | | 1 | "She trailed, her mind racing" | | 2 | "Markham pressed, his curiosity piqued" | | 3 | "she murmured, her heart pounding" | | 4 | "Markham asked, his voice low" | | 5 | "Quinn replied, her eyes scanning the surroundings" | | 6 | "she whispered, her hand resting on the grip of her service weapon" | | 7 | "Quinn blinked, recognition dawning" | | 8 | "She glanced, her expression shifting to concern" | | 9 | "Quinn replied, her voice steady" | | 10 | "Markham asked, his brow furrowing" | | 11 | "Eva explained, her voice low" | | 12 | "Eva suggested, her freckled complexion serious" |
| |
| 15.38% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 7 | | fancyTags | | 0 | "Markham pressed (press)" | | 1 | "Markham warned (warn)" | | 2 | "she murmured (murmur)" | | 3 | "she whispered (whisper)" | | 4 | "Eva explained (explain)" | | 5 | "Eva suggested (suggest)" | | 6 | "Quinn agreed (agree)" |
| | dialogueSentences | 52 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.538 | | effectiveRatio | 0.269 | |