| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "She crouched once [once]" |
| | dialogueSentences | 55 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0.1 | | effectiveRatio | 0.036 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1142 | | 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) | |
| 91.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1142 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 0 | | hedgeCount | 0 | | narrationSentences | 85 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 130 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1142 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 30.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 753 | | uniqueNames | 8 | | maxNameDensity | 2.39 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Nair" | | discoveredNames | | Hendon | 1 | | Nair | 10 | | Quinn | 18 | | Victorian | 1 | | Whitechapel | 1 | | Small | 1 | | Morris | 2 | | Blackwall | 3 |
| | persons | | 0 | "Nair" | | 1 | "Quinn" | | 2 | "Small" | | 3 | "Morris" |
| | places | | | globalScore | 0.305 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | 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 | 1142 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 130 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 72 | | mean | 15.86 | | std | 15.03 | | cv | 0.948 | | sampleLengths | | 0 | 2 | | 1 | 13 | | 2 | 4 | | 3 | 66 | | 4 | 12 | | 5 | 7 | | 6 | 21 | | 7 | 35 | | 8 | 2 | | 9 | 19 | | 10 | 9 | | 11 | 4 | | 12 | 30 | | 13 | 49 | | 14 | 5 | | 15 | 27 | | 16 | 20 | | 17 | 7 | | 18 | 6 | | 19 | 9 | | 20 | 3 | | 21 | 38 | | 22 | 7 | | 23 | 14 | | 24 | 51 | | 25 | 31 | | 26 | 12 | | 27 | 7 | | 28 | 3 | | 29 | 6 | | 30 | 14 | | 31 | 15 | | 32 | 13 | | 33 | 4 | | 34 | 4 | | 35 | 17 | | 36 | 4 | | 37 | 32 | | 38 | 34 | | 39 | 10 | | 40 | 9 | | 41 | 18 | | 42 | 2 | | 43 | 20 | | 44 | 52 | | 45 | 2 | | 46 | 42 | | 47 | 6 | | 48 | 1 | | 49 | 1 |
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| 76.37% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 85 | | matches | | 0 | "were folded" | | 1 | "were laced" | | 2 | "were filed" | | 3 | "been un-bricked" | | 4 | "been sat" | | 5 | "been wiped" | | 6 | "been dragged" | | 7 | "been turned" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 116 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 130 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 758 | | adjectiveStacks | 1 | | stackExamples | | 0 | "left over right, thumbs" |
| | adverbCount | 18 | | adverbRatio | 0.023746701846965697 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002638522427440633 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 130 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 130 | | mean | 8.78 | | std | 6.93 | | cv | 0.789 | | sampleLengths | | 0 | 2 | | 1 | 12 | | 2 | 1 | | 3 | 4 | | 4 | 14 | | 5 | 24 | | 6 | 7 | | 7 | 21 | | 8 | 9 | | 9 | 3 | | 10 | 7 | | 11 | 21 | | 12 | 4 | | 13 | 9 | | 14 | 4 | | 15 | 18 | | 16 | 2 | | 17 | 19 | | 18 | 9 | | 19 | 4 | | 20 | 8 | | 21 | 22 | | 22 | 4 | | 23 | 12 | | 24 | 8 | | 25 | 25 | | 26 | 3 | | 27 | 2 | | 28 | 9 | | 29 | 3 | | 30 | 3 | | 31 | 5 | | 32 | 7 | | 33 | 4 | | 34 | 16 | | 35 | 7 | | 36 | 6 | | 37 | 5 | | 38 | 4 | | 39 | 2 | | 40 | 1 | | 41 | 38 | | 42 | 7 | | 43 | 14 | | 44 | 23 | | 45 | 28 | | 46 | 4 | | 47 | 8 | | 48 | 19 | | 49 | 12 |
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| 74.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4846153846153846 | | totalSentences | 130 | | uniqueOpeners | 63 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 76 | | matches | | 0 | "Then the shape on the" | | 1 | "Maybe a ring." | | 2 | "Somewhere in the dark, one" |
| | ratio | 0.039 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 76 | | matches | | 0 | "Her boots made almost no" | | 1 | "She tilted her head." | | 2 | "She pulled the sleeve back" | | 3 | "She'd taken it off DS" | | 4 | "It wasn't, strictly." | | 5 | "She put the torch along" | | 6 | "She crouched once more" | | 7 | "His voice dropped, but the" | | 8 | "She started climbing." |
| | ratio | 0.118 | |
| 91.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 76 | | matches | | 0 | "The constable at the top" | | 1 | "Quinn stood at the bottom" | | 2 | "The darkness came in around" | | 3 | "A woman, mid-thirties, on her" | | 4 | "DS Nair's voice came from" | | 5 | "Quinn crossed the platform." | | 6 | "Her boots made almost no" | | 7 | "Someone had swept them." | | 8 | "The patch beneath her feet" | | 9 | "Quinn stopped at the body" | | 10 | "She tilted her head." | | 11 | "The woman's hands were folded," | | 12 | "Quinn had seen that grip" | | 13 | "She pulled the sleeve back" | | 14 | "The nails were filed clean." | | 15 | "Someone had worked on them" | | 16 | "Nair crouched beside her." | | 17 | "Quinn pulled the compass from" | | 18 | "She'd taken it off DS" | | 19 | "The needle swung west." |
| | ratio | 0.737 | |
| 65.79% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 76 | | matches | | 0 | "Whoever had swept this platform" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 1 | | matches | | 0 | "Small brass casing, patina of verdigris along the hinge, needle swinging across a face etched with figures that matched no map she knew." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "His voice dropped, but the platform carried it fine" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 55 | | tagDensity | 0.036 | | leniency | 0.073 | | rawRatio | 0 | | effectiveRatio | 0 | |