| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "she spoke quietly [quietly]" |
| | dialogueSentences | 26 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.077 | | effectiveRatio | 0.077 | |
| 80.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1002 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "loosely" | | 1 | "perfectly" | | 2 | "suddenly" | | 3 | "very" |
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| 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 | 1002 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "echoing" | | 1 | "reverberated" | | 2 | "flicker" | | 3 | "whisper" | | 4 | "amidst" | | 5 | "gloom" | | 6 | "reminder" | | 7 | "depths" | | 8 | "tracing" | | 9 | "cascading" | | 10 | "amiss" | | 11 | "etched" | | 12 | "scanned" | | 13 | "tension" | | 14 | "familiar" | | 15 | "traced" | | 16 | "chaotic" | | 17 | "disrupted" | | 18 | "trembled" |
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| 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 | 54 | | matches | (empty) | |
| 89.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 54 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 67 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 999 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 32.81% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 768 | | uniqueNames | 8 | | maxNameDensity | 2.34 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 18 | | Veil | 2 | | Market | 3 | | Sergeant | 1 | | Fields | 9 | | Pieces | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Sergeant" | | 4 | "Fields" | | 5 | "Pieces" |
| | places | (empty) | | globalScore | 0.328 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like silver powder across the vict" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 999 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 85.79% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 33.3 | | std | 14.99 | | cv | 0.45 | | sampleLengths | | 0 | 77 | | 1 | 44 | | 2 | 39 | | 3 | 32 | | 4 | 29 | | 5 | 46 | | 6 | 45 | | 7 | 40 | | 8 | 37 | | 9 | 26 | | 10 | 49 | | 11 | 40 | | 12 | 55 | | 13 | 19 | | 14 | 10 | | 15 | 18 | | 16 | 6 | | 17 | 16 | | 18 | 36 | | 19 | 55 | | 20 | 37 | | 21 | 19 | | 22 | 28 | | 23 | 9 | | 24 | 33 | | 25 | 30 | | 26 | 31 | | 27 | 26 | | 28 | 27 | | 29 | 40 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 54 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 124 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 67 | | ratio | 0.015 | | matches | | 0 | "Its patina spoke of age, and the sigils etched meticulously around its face whispered of warding — a protection against being lost, or found." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 771 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.0324254215304799 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.01297016861219196 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 67 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 67 | | mean | 14.91 | | std | 6.65 | | cv | 0.446 | | sampleLengths | | 0 | 16 | | 1 | 15 | | 2 | 25 | | 3 | 21 | | 4 | 12 | | 5 | 12 | | 6 | 20 | | 7 | 29 | | 8 | 10 | | 9 | 22 | | 10 | 10 | | 11 | 14 | | 12 | 15 | | 13 | 9 | | 14 | 6 | | 15 | 14 | | 16 | 17 | | 17 | 25 | | 18 | 20 | | 19 | 19 | | 20 | 21 | | 21 | 18 | | 22 | 19 | | 23 | 20 | | 24 | 6 | | 25 | 9 | | 26 | 24 | | 27 | 16 | | 28 | 9 | | 29 | 31 | | 30 | 17 | | 31 | 16 | | 32 | 22 | | 33 | 8 | | 34 | 11 | | 35 | 7 | | 36 | 3 | | 37 | 13 | | 38 | 5 | | 39 | 6 | | 40 | 16 | | 41 | 12 | | 42 | 24 | | 43 | 18 | | 44 | 22 | | 45 | 15 | | 46 | 9 | | 47 | 2 | | 48 | 17 | | 49 | 9 |
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| 98.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.7014925373134329 | | totalSentences | 67 | | uniqueOpeners | 47 | |
| 64.10% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 52 | | matches | | 0 | "Suddenly, the compass's needle swerved," |
| | ratio | 0.019 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 52 | | matches | | 0 | "Her worn leather watch glinted" | | 1 | "He gestured towards the body," | | 2 | "he said, pointing out the" | | 3 | "Her skin a tableau of" | | 4 | "Its patina spoke of age," | | 5 | "She almost laughed bitterly at" | | 6 | "She turned the compass over," | | 7 | "she spoke quietly" | | 8 | "She traced an imagined path" | | 9 | "They wove through alcoves and" | | 10 | "It still trembled in her" |
| | ratio | 0.212 | |
| 46.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 52 | | matches | | 0 | "The echoing clatter of heels" | | 1 | "Detective Harlow Quinn moved with" | | 2 | "The cloying scent of damp" | | 3 | "Her worn leather watch glinted" | | 4 | "Officers milled around, their figures" | | 5 | "The drone of voices mingled" | | 6 | "Detective Sergeant Fields waved, drawing" | | 7 | "He gestured towards the body," | | 8 | "he said, pointing out the" | | 9 | "Quinn knelt by the corpse," | | 10 | "Her skin a tableau of" | | 11 | "Quinn muttered, noting another detail:" | | 12 | "Fields shrugged, a gesture underscored" | | 13 | "Quinn rose, casting a long" | | 14 | "Something felt amiss beneath the" | | 15 | "Fields gestured with his chin" | | 16 | "Quinn pulled on gloves, extracting" | | 17 | "Its patina spoke of age," | | 18 | "Fields continued as Quinn scanned" | | 19 | "Quinn remembered the stories, the" |
| | ratio | 0.827 | |
| 96.15% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 52 | | matches | | | ratio | 0.019 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "Her worn leather watch glinted momentarily as she checked the time, tapping its face as if to urge the hands onward." | | 1 | "Fields shrugged, a gesture underscored by the weary acceptance that came with policing this ragged fringe of the city." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 6 | | fancyTags | | 0 | "she approached (approach)" | | 1 | "Quinn muttered (mutter)" | | 2 | "Fields continued (continue)" | | 3 | "she spoke quietly (speak)" | | 4 | "Quinn muttered (mutter)" | | 5 | "Fields exhaled (exhale)" |
| | dialogueSentences | 26 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.75 | | effectiveRatio | 0.462 | |