| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.875 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 732 | | totalAiIsmAdverbs | 1 | | 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 | 732 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "scanning" | | 1 | "glint" | | 2 | "chill" | | 3 | "standard" | | 4 | "pulse" | | 5 | "silence" | | 6 | "echoed" | | 7 | "pulsed" | | 8 | "unspoken" | | 9 | "scanned" | | 10 | "trembled" | | 11 | "flicker" | | 12 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "the air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 94 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 94 | | filterMatches | | | hedgeMatches | (empty) | |
| 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 | 20 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 723 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 70.75% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 694 | | uniqueNames | 7 | | maxNameDensity | 1.59 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 11 | | Quinn | 1 | | Raven | 1 | | Nest | 1 | | Morris | 2 | | Veil | 2 | | Market | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Market" |
| | places | (empty) | | globalScore | 0.707 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 61.69% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.383 | | wordCount | 723 | | matches | | 0 | "not reflections, but memories" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 24.23% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 10 | | mean | 72.3 | | std | 16.98 | | cv | 0.235 | | sampleLengths | | 0 | 83 | | 1 | 73 | | 2 | 75 | | 3 | 81 | | 4 | 82 | | 5 | 76 | | 6 | 93 | | 7 | 41 | | 8 | 80 | | 9 | 39 |
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| 97.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 94 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 136 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 95 | | ratio | 0.084 | | matches | | 0 | "The suspect—a wiry man with a scarred forearm—had vanished into the alleyway, disappearing like smoke." | | 1 | "A glint caught her eye—a discarded cigarette butt near a overflowing bin." | | 2 | "She’d heard tales—black-market alchemy, forbidden texts, items traded for blood or silence." | | 3 | "The codex called it a black market; she called it a graveyard for the desperate." | | 4 | "She spotted a figure darting between stalls—a flash of dark clothing, a quick glance over the shoulder." | | 5 | "The passage opened into a cavernous space—the Veil Market’s heart." | | 6 | "Then—movement." | | 7 | "In that moment, she saw it—the flicker of something ancient in his eyes." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 706 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.019830028328611898 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0028328611898017 | |
| 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 | 7.61 | | std | 4.37 | | cv | 0.574 | | sampleLengths | | 0 | 18 | | 1 | 14 | | 2 | 4 | | 3 | 2 | | 4 | 15 | | 5 | 8 | | 6 | 5 | | 7 | 12 | | 8 | 5 | | 9 | 12 | | 10 | 9 | | 11 | 5 | | 12 | 6 | | 13 | 4 | | 14 | 4 | | 15 | 12 | | 16 | 9 | | 17 | 7 | | 18 | 1 | | 19 | 2 | | 20 | 2 | | 21 | 5 | | 22 | 6 | | 23 | 10 | | 24 | 12 | | 25 | 3 | | 26 | 1 | | 27 | 11 | | 28 | 12 | | 29 | 15 | | 30 | 12 | | 31 | 12 | | 32 | 10 | | 33 | 7 | | 34 | 20 | | 35 | 11 | | 36 | 9 | | 37 | 6 | | 38 | 5 | | 39 | 17 | | 40 | 5 | | 41 | 6 | | 42 | 6 | | 43 | 5 | | 44 | 6 | | 45 | 17 | | 46 | 6 | | 47 | 3 | | 48 | 8 | | 49 | 12 |
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| 41.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.29473684210526313 | | totalSentences | 95 | | uniqueOpeners | 28 | |
| 40.65% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 82 | | matches | | 0 | "Somewhere, a bell tolled." |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 82 | | matches | | 0 | "She didn’t look back." | | 1 | "She’d chased shadows ever since." | | 2 | "She pivoted sharply, scanning the" | | 3 | "She knelt, ignoring the chill" | | 4 | "she muttered, rising" | | 5 | "Her pulse thudded in her" | | 6 | "She turned toward the old" | | 7 | "She’d heard tales—black—market alchemy, forbidden" | | 8 | "She passed a stall selling" | | 9 | "she rasped, before turning away" | | 10 | "She spotted a figure darting" | | 11 | "He knew she was close." | | 12 | "She followed, weaving through the" | | 13 | "she growled, yanking the net" | | 14 | "She pressed forward, her breath" | | 15 | "His face was pale, sweat" | | 16 | "He reached into his coat," | | 17 | "he said, not looking up" | | 18 | "His voice was steady, but" | | 19 | "She stepped forward." |
| | ratio | 0.268 | |
| 27.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 82 | | matches | | 0 | "Detective Harlow Quinn’s boots splashed" | | 1 | "Rain drummed against her leather" | | 2 | "She didn’t look back." | | 3 | "The suspect—a wiry man with" | | 4 | "Harlow’s fingers tightened around her" | | 5 | "She’d chased shadows ever since." | | 6 | "The alley spat her onto" | | 7 | "The air reeked of damp" | | 8 | "Harlow’s breath came quick, shallow." | | 9 | "She pivoted sharply, scanning the" | | 10 | "The suspect was gone." | | 11 | "A glint caught her eye—a" | | 12 | "She knelt, ignoring the chill" | | 13 | "The brand was unfamiliar, but" | | 14 | "she muttered, rising" | | 15 | "Her pulse thudded in her" | | 16 | "The rain fell harder, blurring" | | 17 | "She turned toward the old" | | 18 | "The Veil Market." | | 19 | "A place where deals went" |
| | ratio | 0.866 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 82 | | matches | (empty) | | ratio | 0 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "Detective Harlow Quinn’s boots splashed through puddles that reflected the flickering green neon of the Raven’s Nest sign." | | 1 | "A child offered her a coin that melted in her palm." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, not looking up" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she growled (growl)" |
| | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |