| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.68 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 689 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 34.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 689 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "charm" | | 1 | "echoed" | | 2 | "flicked" | | 3 | "traced" | | 4 | "racing" | | 5 | "fluttered" | | 6 | "otherworldly" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 46 | | matches | | |
| 80.75% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 46 | | filterMatches | | | hedgeMatches | (empty) | |
| 90.19% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 52 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0.019 | | matches | | 0 | "Hか月kid keeps popping up." |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 27 | | totalWords | 689 | | ratio | 0.039 | | matches | | 0 | "He is a ravenous lion" | | 1 | "Bone Tokens" | | 2 | "Market." | | 3 | "It took the call, she still heard it in his voice." | | 4 | "know" | | 5 | "Guarding the station." | | 6 | "Sanctus. Do mihi sanctas." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 73.66% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 524 | | uniqueNames | 10 | | maxNameDensity | 1.53 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 4 | | Quinn | 8 | | Davies | 7 | | Johnny | 1 | | Marketing | 1 | | Coppers | 1 | | Caucasian | 1 | | Detective | 2 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Davies" | | 3 | "Johnny" | | 4 | "Detective" | | 5 | "Morris" |
| | places | (empty) | | globalScore | 0.737 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | 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 | 689 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 52 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 26.5 | | std | 14.24 | | cv | 0.537 | | sampleLengths | | 0 | 51 | | 1 | 3 | | 2 | 48 | | 3 | 16 | | 4 | 44 | | 5 | 24 | | 6 | 30 | | 7 | 50 | | 8 | 31 | | 9 | 15 | | 10 | 36 | | 11 | 22 | | 12 | 34 | | 13 | 21 | | 14 | 26 | | 15 | 31 | | 16 | 15 | | 17 | 21 | | 18 | 10 | | 19 | 9 | | 20 | 3 | | 21 | 27 | | 22 | 41 | | 23 | 4 | | 24 | 39 | | 25 | 38 |
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| 74.75% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 46 | | matches | | 0 | "were arranged" | | 1 | "were scrawled" | | 2 | "being written" | | 3 | "been cleaned" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 106 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 301 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 4 | | adverbRatio | 0.013289036544850499 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0033222591362126247 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 52 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 52 | | mean | 13.25 | | std | 10.27 | | cv | 0.775 | | sampleLengths | | 0 | 20 | | 1 | 17 | | 2 | 14 | | 3 | 3 | | 4 | 10 | | 5 | 14 | | 6 | 6 | | 7 | 13 | | 8 | 5 | | 9 | 13 | | 10 | 3 | | 11 | 20 | | 12 | 5 | | 13 | 3 | | 14 | 8 | | 15 | 8 | | 16 | 7 | | 17 | 3 | | 18 | 14 | | 19 | 12 | | 20 | 18 | | 21 | 14 | | 22 | 36 | | 23 | 14 | | 24 | 4 | | 25 | 4 | | 26 | 9 | | 27 | 15 | | 28 | 1 | | 29 | 9 | | 30 | 26 | | 31 | 2 | | 32 | 20 | | 33 | 29 | | 34 | 5 | | 35 | 21 | | 36 | 5 | | 37 | 8 | | 38 | 13 | | 39 | 29 | | 40 | 2 | | 41 | 9 | | 42 | 6 | | 43 | 21 | | 44 | 10 | | 45 | 9 | | 46 | 3 | | 47 | 27 | | 48 | 41 | | 49 | 4 |
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| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.6538461538461539 | | totalSentences | 52 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 43 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 43 | | matches | | 0 | "Her partner's melted voice echoed" | | 1 | "She flicked up her collar." | | 2 | "He couldn't have been twenty." | | 3 | "*He is a ravenous didn't" | | 4 | "They call him Johnny." | | 5 | "I'll cross-reference occult names with" | | 6 | "We can't use that" | | 7 | "You loved him like a" | | 8 | "She held out the cross," |
| | ratio | 0.209 | |
| 18.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 43 | | matches | | 0 | "The abandoned Tube station had" | | 1 | "Detective Harlow Quinn stepped through" | | 2 | "Streaks of mossy fungus and" | | 3 | "Her partner's melted voice echoed" | | 4 | "Quinn spotted him at the" | | 5 | "Ammonia, ozone, and the sweet" | | 6 | "She flicked up her collar." | | 7 | "Davies tucked a clump of" | | 8 | "The victim knelt against the" | | 9 | "He couldn't have been twenty." | | 10 | "Student, local probably." | | 11 | "Pennies and a skull were" | | 12 | "Sigils were scrawled in chalk" | | 13 | "Quinn crouched, taking in the" | | 14 | "Nothing added up." | | 15 | "The poses echoed an old" | | 16 | "Davies leaned in closer" | | 17 | "Quinn pointed at a chalk" | | 18 | "*He is a ravenous didn't" | | 19 | "Davies flipped through his notebook." |
| | ratio | 0.884 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 43 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 14 | | technicalSentenceCount | 1 | | matches | | 0 | "The victim knelt against the wall, arms sliced open and outstretched, mouth stretched wide as if in a silent scream." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn murmured (murmur)" |
| | dialogueSentences | 25 | | tagDensity | 0.08 | | leniency | 0.16 | | rawRatio | 0.5 | | effectiveRatio | 0.08 | |