| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1210 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "sharply" | | 2 | "quickly" | | 3 | "completely" |
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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) | |
| 33.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1210 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "kaleidoscope" | | 1 | "silence" | | 2 | "gloom" | | 3 | "familiar" | | 4 | "rhythmic" | | 5 | "vibrated" | | 6 | "standard" | | 7 | "etched" | | 8 | "pulsed" | | 9 | "echoed" | | 10 | "silk" |
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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 | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 87 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1207 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.76% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1127 | | uniqueNames | 14 | | maxNameDensity | 1.06 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 3 | | High | 1 | | Street | 1 | | Quinn | 12 | | Herrera | 11 | | Saint | 1 | | Christopher | 1 | | Tube | 1 | | Blitz | 1 | | Glock | 1 | | London | 2 | | Veil | 1 | | Market | 1 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Herrera" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Morris" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "London" | | 4 | "Market" |
| | globalScore | 0.968 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | 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 | 1207 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 30.18 | | std | 23.49 | | cv | 0.779 | | sampleLengths | | 0 | 83 | | 1 | 15 | | 2 | 44 | | 3 | 12 | | 4 | 44 | | 5 | 2 | | 6 | 59 | | 7 | 78 | | 8 | 5 | | 9 | 64 | | 10 | 36 | | 11 | 48 | | 12 | 13 | | 13 | 42 | | 14 | 47 | | 15 | 5 | | 16 | 63 | | 17 | 3 | | 18 | 13 | | 19 | 6 | | 20 | 23 | | 21 | 19 | | 22 | 12 | | 23 | 11 | | 24 | 30 | | 25 | 22 | | 26 | 8 | | 27 | 70 | | 28 | 61 | | 29 | 20 | | 30 | 45 | | 31 | 9 | | 32 | 33 | | 33 | 5 | | 34 | 12 | | 35 | 38 | | 36 | 69 | | 37 | 12 | | 38 | 18 | | 39 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 87 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 186 | | matches | (empty) | |
| 23.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 96 | | ratio | 0.042 | | matches | | 0 | "The fabric tore back, revealing the thick, jagged scar running along his left forearm—the souvenir of a knife attack that had ended his mainstream medical career." | | 1 | "In his palm sat a small, polished piece of ivory—a bone token." | | 2 | "Herrera didn't look back; he plunged into the swirling crowd of the market, his dark hood quickly blending with the cloaked shoppers." | | 3 | "He pointed a massive, thick finger toward the dark maintenance tunnel branching off to the left—a pitch-black corridor that bypassed the market but led deep into the unmapped, wild labyrinth of the London underground." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1143 | | adjectiveStacks | 1 | | stackExamples | | 0 | "low, pressed against her" |
| | adverbCount | 28 | | adverbRatio | 0.024496937882764653 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008748906386701663 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 12.57 | | std | 6.62 | | cv | 0.526 | | sampleLengths | | 0 | 30 | | 1 | 20 | | 2 | 14 | | 3 | 4 | | 4 | 15 | | 5 | 15 | | 6 | 2 | | 7 | 13 | | 8 | 12 | | 9 | 17 | | 10 | 6 | | 11 | 6 | | 12 | 2 | | 13 | 11 | | 14 | 17 | | 15 | 4 | | 16 | 10 | | 17 | 2 | | 18 | 12 | | 19 | 15 | | 20 | 10 | | 21 | 22 | | 22 | 19 | | 23 | 14 | | 24 | 16 | | 25 | 9 | | 26 | 20 | | 27 | 5 | | 28 | 3 | | 29 | 16 | | 30 | 26 | | 31 | 19 | | 32 | 7 | | 33 | 11 | | 34 | 9 | | 35 | 9 | | 36 | 21 | | 37 | 12 | | 38 | 15 | | 39 | 3 | | 40 | 10 | | 41 | 5 | | 42 | 18 | | 43 | 3 | | 44 | 16 | | 45 | 15 | | 46 | 18 | | 47 | 8 | | 48 | 6 | | 49 | 5 |
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| 66.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4166666666666667 | | totalSentences | 96 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 85 | | matches | | 0 | "Then, his face hardened." | | 1 | "Instead of climbing, she threw" | | 2 | "Well over seven feet tall," |
| | ratio | 0.035 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 85 | | matches | | 0 | "She checked her watch." | | 1 | "He kept his hood pulled" | | 2 | "He spun on his heel" | | 3 | "She sprinted after him, her" | | 4 | "Her closely cropped salt-and-pepper hair" | | 5 | "She ignored the burn in" | | 6 | "He veered left, darting into" | | 7 | "Her boot skidded on a" | | 8 | "She slammed her shoulder against" | | 9 | "He leapt over a stack" | | 10 | "He scrambled up a low" | | 11 | "She burst through, her military" | | 12 | "He slipped through the gap" | | 13 | "It was hot." | | 14 | "It carried the scent of" | | 15 | "She reached beneath her coat," | | 16 | "She plunged down the steps." | | 17 | "She held her weapon low," | | 18 | "His skin was the color" | | 19 | "He took a half-step forward," |
| | ratio | 0.271 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 85 | | matches | | 0 | "Rain lashed against the soot-stained" | | 1 | "Harlow Quinn stood tucked inside" | | 2 | "Water dripped from the brim" | | 3 | "She checked her watch." | | 4 | "The worn leather band was" | | 5 | "He kept his hood pulled" | | 6 | "A silver Saint Christopher medallion" | | 7 | "Quinn stepped out of the" | | 8 | "He spun on his heel" | | 9 | "The shout tore from Quinn’s" | | 10 | "She sprinted after him, her" | | 11 | "Her closely cropped salt-and-pepper hair" | | 12 | "She ignored the burn in" | | 13 | "Herrera was fast, fueled by" | | 14 | "He veered left, darting into" | | 15 | "The scent of stagnant water" | | 16 | "Her boot skidded on a" | | 17 | "She slammed her shoulder against" | | 18 | "Herrera didn't answer." | | 19 | "He leapt over a stack" |
| | ratio | 0.8 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 85 | | matches | | 0 | "If she went back to" | | 1 | "If she went into the" |
| | ratio | 0.024 | |
| 82.32% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 5 | | matches | | 0 | "The fabric tore back, revealing the thick, jagged scar running along his left forearm—the souvenir of a knife attack that had ended his mainstream medical caree…" | | 1 | "Far below, the sound of the rain died away, replaced by a low, rhythmic thrumming that vibrated through her teeth." | | 2 | "The corridor opened up, the ceiling soaring into a vast, vaulted cavern that stretched into the blackness." | | 3 | "Figures in heavy cloaks and brass-masked merchants haggled over jars of shimmering dust, bundles of dried herbs that twitched in the draft, and silver-plated ca…" | | 4 | "He pointed a massive, thick finger toward the dark maintenance tunnel branching off to the left—a pitch-black corridor that bypassed the market but led deep int…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |