| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.324 | | leniency | 0.649 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 924 | | 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) | |
| 29.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 924 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "reminder" | | 1 | "echoing" | | 2 | "measured" | | 3 | "etched" | | 4 | "eyebrow" | | 5 | "calculated" | | 6 | "racing" | | 7 | "stark" | | 8 | "raced" | | 9 | "determined" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
| | 1 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "The air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 48 | | matches | (empty) | |
| 23.81% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 48 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 73 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 921 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 482 | | uniqueNames | 6 | | maxNameDensity | 3.32 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 16 | | Tube | 2 | | Davies | 12 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Davies" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | 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 | 921 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 27.91 | | std | 15.68 | | cv | 0.562 | | sampleLengths | | 0 | 78 | | 1 | 19 | | 2 | 17 | | 3 | 15 | | 4 | 33 | | 5 | 13 | | 6 | 52 | | 7 | 9 | | 8 | 15 | | 9 | 52 | | 10 | 14 | | 11 | 24 | | 12 | 16 | | 13 | 11 | | 14 | 41 | | 15 | 27 | | 16 | 15 | | 17 | 30 | | 18 | 4 | | 19 | 17 | | 20 | 31 | | 21 | 11 | | 22 | 48 | | 23 | 40 | | 24 | 33 | | 25 | 29 | | 26 | 33 | | 27 | 17 | | 28 | 35 | | 29 | 39 | | 30 | 32 | | 31 | 23 | | 32 | 48 |
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| 68.71% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 48 | | matches | | 0 | "was etched" | | 1 | "were covered" | | 2 | "were etched" | | 3 | "were tattered" | | 4 | "was determined" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 88 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 73 | | ratio | 0.014 | | matches | | 0 | "The symbols, the token, the Veil Market—there was more here than met the eye." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 484 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.01859504132231405 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.004132231404958678 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 73 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 73 | | mean | 12.62 | | std | 7.9 | | cv | 0.626 | | sampleLengths | | 0 | 19 | | 1 | 22 | | 2 | 12 | | 3 | 25 | | 4 | 19 | | 5 | 3 | | 6 | 14 | | 7 | 12 | | 8 | 3 | | 9 | 6 | | 10 | 17 | | 11 | 10 | | 12 | 5 | | 13 | 8 | | 14 | 3 | | 15 | 18 | | 16 | 21 | | 17 | 10 | | 18 | 4 | | 19 | 5 | | 20 | 15 | | 21 | 17 | | 22 | 18 | | 23 | 10 | | 24 | 4 | | 25 | 3 | | 26 | 14 | | 27 | 9 | | 28 | 15 | | 29 | 6 | | 30 | 10 | | 31 | 11 | | 32 | 9 | | 33 | 10 | | 34 | 22 | | 35 | 7 | | 36 | 20 | | 37 | 2 | | 38 | 13 | | 39 | 2 | | 40 | 28 | | 41 | 4 | | 42 | 7 | | 43 | 10 | | 44 | 13 | | 45 | 7 | | 46 | 11 | | 47 | 6 | | 48 | 5 | | 49 | 3 |
| |
| 68.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4246575342465753 | | totalSentences | 73 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 41 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 41 | | matches | | 0 | "She stood and began to" | | 1 | "She pulled a small brass" | | 2 | "She moved to the far" | | 3 | "She leaned closer, her breath" | | 4 | "She walked back to the" | | 5 | "She stood and began to" | | 6 | "She glanced at her watch," | | 7 | "he said, flipping through a" | | 8 | "She turned to Davies, her" | | 9 | "She pointed to the body" |
| | ratio | 0.244 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 41 | | matches | | 0 | "The body lay sprawled on" | | 1 | "Detective Harlow Quinn crouched beside" | | 2 | "The sharp jaw of her" | | 3 | "The air was thick with" | | 4 | "DS Davies said, his voice" | | 5 | "Quinn glanced up." | | 6 | "Davies shrugged, his hands buried" | | 7 | "Quinn replied, her tone measured" | | 8 | "She stood and began to" | | 9 | "Quinn's eyes narrowed." | | 10 | "She pulled a small brass" | | 11 | "The face was etched with" | | 12 | "Davies raised an eyebrow." | | 13 | "Quinn said, her voice low" | | 14 | "She moved to the far" | | 15 | "Some were etched into the" | | 16 | "She leaned closer, her breath" | | 17 | "Davies said, snapping a few" | | 18 | "Quinn stood up, her gaze" | | 19 | "She walked back to the" |
| | ratio | 0.927 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 41 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 1 | | matches | | 0 | "Detective Harlow Quinn crouched beside it, her fingers brushing against the jagged edges of the broken pipe that had killed the woman." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 4 | | matches | | 0 | "DS Davies said, his voice echoing off the bare concrete walls" | | 1 | "Quinn replied, her tone measured" | | 2 | "Quinn said, her voice low and intense," | | 3 | "Quinn said, her voice low" |
| |
| 14.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 5 | | fancyTags | | 0 | "Davies suggested (suggest)" | | 1 | "she muttered (mutter)" | | 2 | "she murmured (murmur)" | | 3 | "Davies suggested (suggest)" | | 4 | "Quinn agreed (agree)" |
| | dialogueSentences | 37 | | tagDensity | 0.297 | | leniency | 0.595 | | rawRatio | 0.455 | | effectiveRatio | 0.27 | |