| 91.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "He stepped backward [backward]" | | 1 | "she leaned close [close]" |
| | dialogueSentences | 37 | | tagDensity | 0.459 | | leniency | 0.919 | | rawRatio | 0.118 | | effectiveRatio | 0.108 | |
| 91.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1128 | | 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) | |
| 86.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1128 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "footsteps" | | 1 | "echoed" | | 2 | "flicked" |
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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 | 85 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 85 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1128 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 779 | | uniqueNames | 16 | | maxNameDensity | 0.64 | | worstName | "Quinn" | | maxWindowNameDensity | 1 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 5 | | Eighteen | 1 | | London | 1 | | Dean | 1 | | Street | 1 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Achebe | 2 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Morris | 1 | | Tube | 1 | | Seville | 1 | | Herrera | 4 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Achebe" | | 4 | "Morris" | | 5 | "Herrera" |
| | places | | 0 | "London" | | 1 | "Dean" | | 2 | "Street" | | 3 | "Soho" | | 4 | "Charing" | | 5 | "Cross" | | 6 | "Road" | | 7 | "Seville" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | 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 | 1128 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 25.64 | | std | 15.57 | | cv | 0.607 | | sampleLengths | | 0 | 16 | | 1 | 32 | | 2 | 57 | | 3 | 9 | | 4 | 37 | | 5 | 25 | | 6 | 24 | | 7 | 27 | | 8 | 47 | | 9 | 54 | | 10 | 20 | | 11 | 16 | | 12 | 51 | | 13 | 10 | | 14 | 15 | | 15 | 19 | | 16 | 56 | | 17 | 5 | | 18 | 36 | | 19 | 22 | | 20 | 35 | | 21 | 29 | | 22 | 17 | | 23 | 20 | | 24 | 3 | | 25 | 40 | | 26 | 14 | | 27 | 25 | | 28 | 41 | | 29 | 7 | | 30 | 55 | | 31 | 8 | | 32 | 48 | | 33 | 21 | | 34 | 4 | | 35 | 9 | | 36 | 23 | | 37 | 33 | | 38 | 10 | | 39 | 21 | | 40 | 2 | | 41 | 27 | | 42 | 18 | | 43 | 40 |
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| 97.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 85 | | matches | | 0 | "was gone" | | 1 | "been made" | | 2 | "been allowed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 136 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 104 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 782 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.03836317135549872 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0038363171355498722 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 10.85 | | std | 8.5 | | cv | 0.784 | | sampleLengths | | 0 | 16 | | 1 | 9 | | 2 | 23 | | 3 | 17 | | 4 | 2 | | 5 | 2 | | 6 | 36 | | 7 | 3 | | 8 | 6 | | 9 | 3 | | 10 | 3 | | 11 | 19 | | 12 | 12 | | 13 | 25 | | 14 | 6 | | 15 | 1 | | 16 | 10 | | 17 | 7 | | 18 | 1 | | 19 | 2 | | 20 | 1 | | 21 | 14 | | 22 | 2 | | 23 | 7 | | 24 | 4 | | 25 | 22 | | 26 | 15 | | 27 | 6 | | 28 | 8 | | 29 | 25 | | 30 | 7 | | 31 | 1 | | 32 | 8 | | 33 | 5 | | 34 | 7 | | 35 | 13 | | 36 | 16 | | 37 | 6 | | 38 | 21 | | 39 | 8 | | 40 | 5 | | 41 | 2 | | 42 | 2 | | 43 | 7 | | 44 | 10 | | 45 | 3 | | 46 | 12 | | 47 | 4 | | 48 | 10 | | 49 | 5 |
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| 83.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5096153846153846 | | totalSentences | 104 | | uniqueOpeners | 53 | |
| 49.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 67 | | matches | | 0 | "Even the market noise died," |
| | ratio | 0.015 | |
| 76.72% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 67 | | matches | | 0 | "He didn't slow." | | 1 | "She expected that." | | 2 | "He ducked into a side" | | 3 | "She could hear his footsteps," | | 4 | "She thought of Morris." | | 5 | "She put her shoulder to" | | 6 | "It gave with a crack" | | 7 | "Her watch face glowed: 11:47." | | 8 | "Her voice bounced off the" | | 9 | "Her radio crackled." | | 10 | "She keyed it off." | | 11 | "He held up a small" | | 12 | "He set it on a" | | 13 | "She stepped onto the platform" | | 14 | "His accent softened the words," | | 15 | "She advanced, one careful step" | | 16 | "He smiled, sad and crooked," | | 17 | "Her voice came out flat," | | 18 | "He raised the bone token" | | 19 | "His warm brown eyes flicked" |
| | ratio | 0.358 | |
| 64.48% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 67 | | matches | | 0 | "The suspect vaulted a recycling" | | 1 | "Harlow Quinn's breath burned in" | | 2 | "The man ahead wore a" | | 3 | "He didn't slow." | | 4 | "She expected that." | | 5 | "The scar she'd seen in" | | 6 | "A man who'd stopped running" | | 7 | "He ducked into a side" | | 8 | "Quinn hit it with her" | | 9 | "She could hear his footsteps," | | 10 | "DS Achebe was twelve minutes" | | 11 | "Herrera would be a rumour" | | 12 | "She thought of Morris." | | 13 | "Every thread she'd pulled since," | | 14 | "She put her shoulder to" | | 15 | "It gave with a crack" | | 16 | "The air changed at the" | | 17 | "Her watch face glowed: 11:47." | | 18 | "Her voice bounced off the" | | 19 | "The stairwell ended at a" |
| | ratio | 0.791 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 67 | | matches | | 0 | "If she called this in," |
| | ratio | 0.015 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "It gave with a crack that echoed, and she was through, torch out, running the beam down a narrow stairwell tiled in cracked white ceramic." |
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| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "brown eyes flicked, right" |
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| 95.95% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "she muttered (mutter)" |
| | dialogueSentences | 37 | | tagDensity | 0.135 | | leniency | 0.27 | | rawRatio | 0.4 | | effectiveRatio | 0.108 | |