| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.577 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1369 | | 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) | |
| 74.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1369 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "chill" | | 1 | "marble" | | 2 | "absolutely" | | 3 | "etched" | | 4 | "unwavering" | | 5 | "echoed" |
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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 | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 76 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1363 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 930 | | uniqueNames | 11 | | maxNameDensity | 1.72 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | High | 1 | | Street | 1 | | Harlow | 1 | | Quinn | 16 | | Northern | 1 | | Line | 1 | | Kowalski | 1 | | British | 1 | | Museum | 1 | | Eva | 10 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Eva" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" |
| | globalScore | 0.64 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | 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 | 1363 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 48.68 | | std | 30.83 | | cv | 0.633 | | sampleLengths | | 0 | 95 | | 1 | 83 | | 2 | 71 | | 3 | 16 | | 4 | 49 | | 5 | 53 | | 6 | 17 | | 7 | 37 | | 8 | 115 | | 9 | 3 | | 10 | 49 | | 11 | 41 | | 12 | 10 | | 13 | 26 | | 14 | 67 | | 15 | 111 | | 16 | 23 | | 17 | 76 | | 18 | 20 | | 19 | 37 | | 20 | 86 | | 21 | 51 | | 22 | 53 | | 23 | 32 | | 24 | 8 | | 25 | 70 | | 26 | 55 | | 27 | 9 |
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| 90.44% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 71 | | matches | | 0 | "been rubbed" | | 1 | "was etched" | | 2 | "was chained" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 140 | | matches | | 0 | "was staring" | | 1 | "was telling" |
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| 5.16% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 83 | | ratio | 0.048 | | matches | | 0 | "The air thickened with every step, trading the city’s fry-oil reek for something older—wet limestone and a faint metallic bite that clung to the back of the throat." | | 1 | "Not an heirloom—a tool." | | 2 | "Dozens of shoes had smoothed a path that ended at a seam so fine she nearly missed it—a hairline rectangle etched into the tile, the exact dimensions of a modern fire door." | | 3 | "“Maps can be altered. So can walls.” Quinn turned the bone token over in her other hand, matching its worn quadrant to a faint indentation in the tile just left of the doorframe—a depression no wider than a pound coin, its bottom lined with spiral grooves that echoed the token’s carvings perfectly." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 502 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.025896414342629483 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.00796812749003984 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 16.42 | | std | 13.3 | | cv | 0.81 | | sampleLengths | | 0 | 18 | | 1 | 31 | | 2 | 28 | | 3 | 18 | | 4 | 13 | | 5 | 24 | | 6 | 46 | | 7 | 5 | | 8 | 21 | | 9 | 2 | | 10 | 23 | | 11 | 20 | | 12 | 16 | | 13 | 8 | | 14 | 25 | | 15 | 16 | | 16 | 37 | | 17 | 16 | | 18 | 14 | | 19 | 3 | | 20 | 15 | | 21 | 22 | | 22 | 5 | | 23 | 14 | | 24 | 11 | | 25 | 22 | | 26 | 6 | | 27 | 3 | | 28 | 11 | | 29 | 14 | | 30 | 15 | | 31 | 14 | | 32 | 3 | | 33 | 33 | | 34 | 16 | | 35 | 8 | | 36 | 21 | | 37 | 8 | | 38 | 4 | | 39 | 7 | | 40 | 3 | | 41 | 3 | | 42 | 23 | | 43 | 11 | | 44 | 13 | | 45 | 18 | | 46 | 6 | | 47 | 19 | | 48 | 5 | | 49 | 22 |
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| 69.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.43373493975903615 | | totalSentences | 83 | | uniqueOpeners | 36 | |
| 50.51% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 66 | | matches | | 0 | "Even the cleanest slice would" |
| | ratio | 0.015 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 66 | | matches | | 0 | "Her left wrist, where a" | | 1 | "She held a bone token" | | 2 | "She tucked a curl behind" | | 3 | "Her voice had the clipped" | | 4 | "She nodded toward a small" | | 5 | "She noted the man’s clothing" | | 6 | "Its face was etched with" | | 7 | "It swung listlessly, then locked" | | 8 | "She moved the compass slowly." | | 9 | "She smelled of old paper" | | 10 | "She didn’t insert it." | | 11 | "She signaled to the PC" | | 12 | "It was closer to recognition." | | 13 | "She pulled her satchel tight" |
| | ratio | 0.212 | |
| 13.03% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 66 | | matches | | 0 | "The rain had stopped an" | | 1 | "Detective Harlow Quinn ducked under" | | 2 | "The air thickened with every" | | 3 | "Her left wrist, where a" | | 4 | "The abandoned Northern Line platform" | | 5 | "Quinn stepped onto the platform" | | 6 | "That figure was not police." | | 7 | "Quinn had seen her twice" | | 8 | "The museum’s occult researcher had" | | 9 | "Quinn walked over, her low" | | 10 | "Eva looked up, round glasses" | | 11 | "She held a bone token" | | 12 | "She tucked a curl behind" | | 13 | "Her voice had the clipped" | | 14 | "Quinn pulled on nitrile gloves" | | 15 | "Eva set the bone token" | | 16 | "She nodded toward a small" | | 17 | "Quinn peeled back the tarp." | | 18 | "The victim was male, late" | | 19 | "Throat cut from left to" |
| | ratio | 0.894 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 12.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 6 | | matches | | 0 | "The air thickened with every step, trading the city’s fry-oil reek for something older—wet limestone and a faint metallic bite that clung to the back of the thr…" | | 1 | "The carving was deep and worn smooth in one quadrant, as if it had been rubbed or inserted into something repeatedly." | | 2 | "Its face was etched with sigils that matched nothing in her memory, angular and cramped as insect legs." | | 3 | "Dozens of shoes had smoothed a path that ended at a seam so fine she nearly missed it—a hairline rectangle etched into the tile, the exact dimensions of a moder…" | | 4 | "Quinn turned back to Eva, who was staring at the hidden seam with an expression that didn’t match her academic scepticism." | | 5 | "Quinn looked at the compass needle, still quivering toward the hidden threshold, and at the blood pooling where it shouldn’t be under a dead man who wore a cash…" |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn walked, her low heels loud on the concrete" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 26 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0.25 | | effectiveRatio | 0.077 | |