| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.526 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1571 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "lazily" | | 2 | "quickly" | | 3 | "carefully" |
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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) | |
| 52.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1571 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "fluttered" | | 1 | "shattered" | | 2 | "scanning" | | 3 | "crystal" | | 4 | "almost alive" | | 5 | "etched" | | 6 | "magnetic" | | 7 | "standard" | | 8 | "echoed" | | 9 | "complex" | | 10 | "aligned" | | 11 | "silence" | | 12 | "pulse" | | 13 | "sentinel" |
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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 | 157 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 157 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 175 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 14 | | totalWords | 1555 | | ratio | 0.009 | | matches | | 0 | "The Compass knows. The Compass always knows. When the market moves, follow what points." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1250 | | uniqueNames | 10 | | maxNameDensity | 1.28 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Town | 1 | | Tube | 2 | | Quinn | 16 | | Morris | 1 | | Renfrew | 11 | | Cleared | 1 | | Compass | 2 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Renfrew" | | 3 | "Compass" |
| | places | | | globalScore | 0.86 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 1 | | matches | | 0 | "shapes that seemed to shift when she tilted the device" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.643 | | wordCount | 1555 | | matches | | 0 | "Not pallid from loss of blood, but grey, like someone had washed the colour out of him" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 175 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 30.49 | | std | 23.12 | | cv | 0.758 | | sampleLengths | | 0 | 46 | | 1 | 21 | | 2 | 12 | | 3 | 100 | | 4 | 16 | | 5 | 65 | | 6 | 40 | | 7 | 6 | | 8 | 12 | | 9 | 60 | | 10 | 3 | | 11 | 34 | | 12 | 9 | | 13 | 70 | | 14 | 26 | | 15 | 50 | | 16 | 6 | | 17 | 3 | | 18 | 36 | | 19 | 36 | | 20 | 49 | | 21 | 78 | | 22 | 24 | | 23 | 5 | | 24 | 7 | | 25 | 34 | | 26 | 23 | | 27 | 56 | | 28 | 14 | | 29 | 10 | | 30 | 8 | | 31 | 15 | | 32 | 63 | | 33 | 62 | | 34 | 5 | | 35 | 32 | | 36 | 25 | | 37 | 38 | | 38 | 9 | | 39 | 35 | | 40 | 25 | | 41 | 32 | | 42 | 52 | | 43 | 5 | | 44 | 18 | | 45 | 61 | | 46 | 4 | | 47 | 40 | | 48 | 12 | | 49 | 56 |
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| 89.62% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 157 | | matches | | 0 | "been erected" | | 1 | "was etched" | | 2 | "been underlined" | | 3 | "was slumped" | | 4 | "was scored" | | 5 | "were torn" | | 6 | "was gone" |
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| 87.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 237 | | matches | | 0 | "was photographing" | | 1 | "was looking" | | 2 | "was sleeping" | | 3 | "was still studying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 14 | | totalSentences | 175 | | ratio | 0.08 | | matches | | 0 | "The tape across the entrance of the abandoned Camden Town Tube station fluttered in a draft that smelled of iron and something else—something Quinn couldn't name but recognized." | | 1 | "The tunnel opened into a wider concourse that shouldn't have existed—her mind supplied the schematic she'd memorized three years ago when this station first crossed her desk, and this chamber wasn't on it." | | 2 | "Each one stocked with different categories of merchandise—bottled liquids, bound books, small metal instruments, bundles of dried plants." | | 3 | "The jars on the shelf contained powders and viscous fluids in colors that had no business existing in nature—a blue so deep it seemed to absorb her torch beam." | | 4 | "His face was slack, eyes closed, and for a moment Quinn thought he was sleeping—then she noticed the skin." | | 5 | "She pressed her palm flat against it and surveyed the scene again—the stalls, the bodies positioned at their stations, the chalk markings on the floor beneath each one." | | 6 | "A leather satchel sat on the counter, open, its contents spilled—a notebook, a brass instrument about the size of a watch, a folded map." | | 7 | "The face was etched with symbols she didn't recognize—concentric rings of geometric shapes that seemed to shift when she tilted the device." | | 8 | "She held the torch low, tracking the chalk lines as they converged—every geometric line from the main concourse funneling into this single passage." | | 9 | "Same positioning—hands folded, face calm." | | 10 | "No—fingers." | | 11 | "She recognized the outline immediately—the abandoned Tube station schematic." | | 12 | "Marked on the paper with a single word she couldn't read—symbols again, the same etchings as the compass face." | | 13 | "She saw it now—the lines weren't just decorative." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1266 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.030805687203791468 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005529225908372828 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 175 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 175 | | mean | 8.89 | | std | 7.14 | | cv | 0.803 | | sampleLengths | | 0 | 28 | | 1 | 3 | | 2 | 4 | | 3 | 11 | | 4 | 10 | | 5 | 11 | | 6 | 8 | | 7 | 4 | | 8 | 11 | | 9 | 6 | | 10 | 3 | | 11 | 33 | | 12 | 14 | | 13 | 7 | | 14 | 2 | | 15 | 2 | | 16 | 8 | | 17 | 14 | | 18 | 16 | | 19 | 21 | | 20 | 15 | | 21 | 29 | | 22 | 3 | | 23 | 6 | | 24 | 2 | | 25 | 18 | | 26 | 4 | | 27 | 7 | | 28 | 6 | | 29 | 6 | | 30 | 6 | | 31 | 8 | | 32 | 29 | | 33 | 17 | | 34 | 6 | | 35 | 3 | | 36 | 17 | | 37 | 9 | | 38 | 8 | | 39 | 9 | | 40 | 4 | | 41 | 1 | | 42 | 2 | | 43 | 21 | | 44 | 3 | | 45 | 2 | | 46 | 19 | | 47 | 1 | | 48 | 17 | | 49 | 13 |
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| 65.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.44 | | totalSentences | 175 | | uniqueOpeners | 77 | |
| 51.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 129 | | matches | | 0 | "Still, certain smells reached back" | | 1 | "Then, near the middle, a" |
| | ratio | 0.016 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 129 | | matches | | 0 | "Her jaw tightened." | | 1 | "She ducked under the cordon," | | 2 | "he said, not meeting her" | | 3 | "He had the look of" | | 4 | "She turned slowly, scanning the" | | 5 | "She moved toward the nearest" | | 6 | "She tapped a clipboard wedged" | | 7 | "She pulled one of the" | | 8 | "She set it back down" | | 9 | "She crouched beside it." | | 10 | "His face was slack, eyes" | | 11 | "Her knee popped." | | 12 | "She pressed her palm flat" | | 13 | "She pointed at the chalk" | | 14 | "She pulled on a nitrile" | | 15 | "It was a compass." | | 16 | "It pointed past the stalls," | | 17 | "She turned the compass ninety" | | 18 | "She turned again." | | 19 | "She held it flat, rotated" |
| | ratio | 0.333 | |
| 64.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 102 | | totalSentences | 129 | | matches | | 0 | "The tape across the entrance" | | 1 | "Her jaw tightened." | | 2 | "She ducked under the cordon," | | 3 | "A uniforms officer hovered near" | | 4 | "he said, not meeting her" | | 5 | "Quinn descended the dead escalator," | | 6 | "The air thickened with each" | | 7 | "The temperature dropped." | | 8 | "The tunnel opened into a" | | 9 | "Metal shelving stocked with jars" | | 10 | "Everything abandoned mid-operation, as if" | | 11 | "A crime scene tech was" | | 12 | "DS Renfrew approached from the" | | 13 | "He had the look of" | | 14 | "Quinn said nothing." | | 15 | "She turned slowly, scanning the" | | 16 | "Each one stocked with different" | | 17 | "Renfrew's mouth drew into a" | | 18 | "She moved toward the nearest" | | 19 | "The jars on the shelf" |
| | ratio | 0.791 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 129 | | matches | (empty) | | ratio | 0 | |
| 43.19% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 6 | | matches | | 0 | "The tape across the entrance of the abandoned Camden Town Tube station fluttered in a draft that smelled of iron and something else—something Quinn couldn't nam…" | | 1 | "The tunnel opened into a wider concourse that shouldn't have existed—her mind supplied the schematic she'd memorized three years ago when this station first cro…" | | 2 | "Everything abandoned mid-operation, as if the vendors had simply stopped breathing and walked away." | | 3 | "Concentric circles connected by lines that terminated at each stall's entry point." | | 4 | "The casing was brass with a patina of verdigris that caught the torchlight in shades of green and turquoise." | | 5 | "The face was etched with symbols she didn't recognize—concentric rings of geometric shapes that seemed to shift when she tilted the device." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, not meeting her eyes" | | 1 | "DS Renfrew approached, his tie already loosened, shirt sleeves rolled to the elbows" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 38 | | tagDensity | 0.184 | | leniency | 0.368 | | rawRatio | 0.143 | | effectiveRatio | 0.053 | |