| 87.50% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 3 | | adverbTags | | 0 | "She hesitated then [then]" | | 1 | "she said quietly [quietly]" | | 2 | "she said softly [softly]" |
| | dialogueSentences | 48 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.25 | | effectiveRatio | 0.125 | |
| 77.76% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1349 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "lightly" | | 2 | "softly" |
| |
| 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) | |
| 7.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1349 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "gloom" | | 1 | "flicked" | | 2 | "tracing" | | 3 | "chaotic" | | 4 | "etched" | | 5 | "intricate" | | 6 | "weight" | | 7 | "quivered" | | 8 | "furrowed" | | 9 | "unreadable" | | 10 | "glinting" | | 11 | "etching" | | 12 | "racing" | | 13 | "flickered" | | 14 | "whisper" | | 15 | "pulse" | | 16 | "quickened" | | 17 | "unspoken" | | 18 | "methodical" | | 19 | "resolve" |
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| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 6 | | maxInWindow | 5 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 3 |
| | 1 | | label | "clenched jaw/fists" | | count | 1 |
| | 2 | | label | "air was thick with" | | count | 1 |
| | 3 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "eyes widened" | | 2 | "clenched her fists" | | 3 | "The air was thick with" | | 4 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 102 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 102 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1340 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 1011 | | uniqueNames | 8 | | maxNameDensity | 2.47 | | worstName | "Eva" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Eva" | | discoveredNames | | Harlow | 23 | | Quinn | 1 | | Tube | 1 | | Kowalski | 1 | | Eva | 25 | | Veil | 1 | | Market | 2 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Eva" | | 4 | "Market" | | 5 | "Morris" |
| | places | | | globalScore | 0.264 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | 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 | 1340 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 27.35 | | std | 20.52 | | cv | 0.75 | | sampleLengths | | 0 | 86 | | 1 | 83 | | 2 | 28 | | 3 | 41 | | 4 | 18 | | 5 | 57 | | 6 | 9 | | 7 | 24 | | 8 | 15 | | 9 | 11 | | 10 | 19 | | 11 | 24 | | 12 | 38 | | 13 | 47 | | 14 | 49 | | 15 | 28 | | 16 | 16 | | 17 | 24 | | 18 | 25 | | 19 | 18 | | 20 | 4 | | 21 | 19 | | 22 | 68 | | 23 | 7 | | 24 | 15 | | 25 | 82 | | 26 | 8 | | 27 | 51 | | 28 | 8 | | 29 | 36 | | 30 | 6 | | 31 | 13 | | 32 | 46 | | 33 | 13 | | 34 | 19 | | 35 | 11 | | 36 | 33 | | 37 | 6 | | 38 | 14 | | 39 | 29 | | 40 | 25 | | 41 | 14 | | 42 | 16 | | 43 | 43 | | 44 | 16 | | 45 | 18 | | 46 | 16 | | 47 | 38 | | 48 | 6 |
| |
| 94.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 102 | | matches | | 0 | "been touched" | | 1 | "was darkened" | | 2 | "been cleared" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 194 | | matches | | 0 | "were hiding" | | 1 | "was coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 138 | | ratio | 0.051 | | matches | | 0 | "They were precise, deliberate—not the work of amateurs." | | 1 | "Her eyes caught on something else—a faint smear of red near the wall." | | 2 | "It wasn’t blood; it was paint." | | 3 | "There, near the ceiling, was another mark—a symbol, hastily painted but unmistakable." | | 4 | "The scorch marks, the token, the warding sigil—none of it added up to a botched summoning." | | 5 | "Harlow’s pulse quickened, her mind flashing back to three years ago—to Morris, to the case that had ended in tragedy." | | 6 | "Somewhere in the darkness, something stirred—a presence unseen but felt." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1020 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.03725490196078431 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.013725490196078431 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 9.71 | | std | 5.09 | | cv | 0.524 | | sampleLengths | | 0 | 24 | | 1 | 18 | | 2 | 15 | | 3 | 14 | | 4 | 15 | | 5 | 13 | | 6 | 22 | | 7 | 24 | | 8 | 24 | | 9 | 9 | | 10 | 11 | | 11 | 8 | | 12 | 18 | | 13 | 8 | | 14 | 15 | | 15 | 7 | | 16 | 11 | | 17 | 14 | | 18 | 7 | | 19 | 19 | | 20 | 9 | | 21 | 8 | | 22 | 9 | | 23 | 8 | | 24 | 16 | | 25 | 12 | | 26 | 3 | | 27 | 8 | | 28 | 3 | | 29 | 7 | | 30 | 12 | | 31 | 14 | | 32 | 10 | | 33 | 10 | | 34 | 3 | | 35 | 8 | | 36 | 10 | | 37 | 7 | | 38 | 2 | | 39 | 20 | | 40 | 12 | | 41 | 13 | | 42 | 10 | | 43 | 11 | | 44 | 3 | | 45 | 22 | | 46 | 3 | | 47 | 13 | | 48 | 6 | | 49 | 9 |
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| 49.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.2971014492753623 | | totalSentences | 138 | | uniqueOpeners | 41 | |
| 33.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 100 | | matches | | 0 | "Somewhere in the darkness, something" |
| | ratio | 0.01 | |
| 76.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 100 | | matches | | 0 | "Her boots scuffed the grimy" | | 1 | "Her flashlight cut through the" | | 2 | "She adjusted her jacket, her" | | 3 | "Her round glasses gleamed as" | | 4 | "She closed the satchel and" | | 5 | "she said, her tone clipped" | | 6 | "They were precise, deliberate—not the" | | 7 | "she asked, her voice low" | | 8 | "She hesitated, then reached into" | | 9 | "Its surface was darkened with" | | 10 | "Her brow furrowed." | | 11 | "She’d seen enough strange things" | | 12 | "she said quietly" | | 13 | "Her flashlight beam caught on" | | 14 | "She crouched again, her worn" | | 15 | "It was a bone token," | | 16 | "She turned it over in" | | 17 | "she asked, holding it up" | | 18 | "She stood, her flashlight beam" | | 19 | "Her eyes caught on something" |
| | ratio | 0.36 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 100 | | matches | | 0 | "Detective Harlow Quinn stepped off" | | 1 | "Her boots scuffed the grimy" | | 2 | "The air was thick with" | | 3 | "Her flashlight cut through the" | | 4 | "The station was a relic" | | 5 | "She adjusted her jacket, her" | | 6 | "A handful of uniformed officers" | | 7 | "Eva Kowalski stood apart from" | | 8 | "Her round glasses gleamed as" | | 9 | "Eva greeted, her voice soft" | | 10 | "She closed the satchel and" | | 11 | "Harlow’s brown eyes flicked over" | | 12 | "she said, her tone clipped" | | 13 | "Eva hesitated, her green eyes" | | 14 | "Harlow didn’t reply, her military-precision" | | 15 | "The officers moved aside, recognizing" | | 16 | "Harlow crouched, her flashlight beam" | | 17 | "They were precise, deliberate—not the" | | 18 | "she asked, her voice low" | | 19 | "Eva said from behind her" |
| | ratio | 0.92 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 100 | | matches | | 0 | "If something had gone wrong," | | 1 | "If the Market had been" | | 2 | "Whoever was behind this, they" |
| | ratio | 0.03 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 1 | | matches | | 0 | "Her boots scuffed the grimy floor, disturbing a fine layer of dust that hadn’t been touched in years." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 7 | | matches | | 0 | "Eva greeted, her voice soft but steady" | | 1 | "she said, her tone clipped" | | 2 | "she asked, her voice low" | | 3 | "Eva shifted, her fingers tightening on the strap" | | 4 | "Harlow repeated, her tone skeptical" | | 5 | "Eva asked, her voice tense" | | 6 | "she said, her voice low" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | 0 | "Harlow repeated (repeat)" |
| | dialogueSentences | 48 | | tagDensity | 0.188 | | leniency | 0.375 | | rawRatio | 0.111 | | effectiveRatio | 0.042 | |