| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "Eva said quietly [quietly]" |
| | dialogueSentences | 40 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.133 | | effectiveRatio | 0.1 | |
| 79.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 992 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "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) | |
| 49.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 992 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "traced" | | 1 | "echoed" | | 2 | "predator" | | 3 | "intensity" | | 4 | "etched" | | 5 | "flickered" | | 6 | "framework" | | 7 | "footsteps" |
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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 | 79 | | matches | (empty) | |
| 52.44% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 2 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 992 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 663 | | uniqueNames | 19 | | maxNameDensity | 2.56 | | worstName | "Eva" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Eva" | | discoveredNames | | Inspector | 1 | | Harlow | 1 | | Quinn | 12 | | Met | 1 | | Reeves | 2 | | Chalk | 1 | | Farm | 1 | | Northern | 1 | | Kowalski | 1 | | Eva | 17 | | British | 1 | | Museum | 1 | | Ancient | 1 | | History | 1 | | Oxford | 1 | | Blackwell | 1 | | Ashworth | 1 | | Manor | 1 | | Quieter | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Reeves" | | 3 | "Kowalski" | | 4 | "Eva" | | 5 | "Museum" | | 6 | "Blackwell" |
| | places | | 0 | "Chalk" | | 1 | "Farm" | | 2 | "British" | | 3 | "Ancient" | | 4 | "Oxford" | | 5 | "Ashworth" | | 6 | "Manor" |
| | globalScore | 0.218 | | windowScore | 0 | |
| 38.89% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 2 | | matches | | 0 | "a man who had apparently stabbed himself for" | | 1 | "sigils that seemed to shift in the lamplight" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 992 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 20.24 | | std | 14.14 | | cv | 0.698 | | sampleLengths | | 0 | 5 | | 1 | 59 | | 2 | 24 | | 3 | 3 | | 4 | 42 | | 5 | 41 | | 6 | 11 | | 7 | 8 | | 8 | 40 | | 9 | 14 | | 10 | 13 | | 11 | 26 | | 12 | 23 | | 13 | 23 | | 14 | 15 | | 15 | 15 | | 16 | 17 | | 17 | 2 | | 18 | 16 | | 19 | 47 | | 20 | 4 | | 21 | 32 | | 22 | 16 | | 23 | 11 | | 24 | 36 | | 25 | 2 | | 26 | 37 | | 27 | 16 | | 28 | 31 | | 29 | 4 | | 30 | 49 | | 31 | 2 | | 32 | 10 | | 33 | 21 | | 34 | 41 | | 35 | 10 | | 36 | 30 | | 37 | 13 | | 38 | 21 | | 39 | 7 | | 40 | 28 | | 41 | 31 | | 42 | 14 | | 43 | 21 | | 44 | 14 | | 45 | 4 | | 46 | 31 | | 47 | 3 | | 48 | 9 |
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| 91.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 79 | | matches | | 0 | "been sealed" | | 1 | "been kept" | | 2 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 112 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 103 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 666 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.036036036036036036 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.01951951951951952 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 9.63 | | std | 6.66 | | cv | 0.692 | | sampleLengths | | 0 | 5 | | 1 | 17 | | 2 | 17 | | 3 | 4 | | 4 | 4 | | 5 | 17 | | 6 | 5 | | 7 | 3 | | 8 | 16 | | 9 | 3 | | 10 | 20 | | 11 | 19 | | 12 | 3 | | 13 | 4 | | 14 | 15 | | 15 | 19 | | 16 | 1 | | 17 | 2 | | 18 | 11 | | 19 | 8 | | 20 | 7 | | 21 | 19 | | 22 | 14 | | 23 | 14 | | 24 | 13 | | 25 | 12 | | 26 | 14 | | 27 | 6 | | 28 | 3 | | 29 | 5 | | 30 | 9 | | 31 | 23 | | 32 | 7 | | 33 | 8 | | 34 | 15 | | 35 | 16 | | 36 | 1 | | 37 | 2 | | 38 | 13 | | 39 | 3 | | 40 | 3 | | 41 | 6 | | 42 | 8 | | 43 | 6 | | 44 | 4 | | 45 | 20 | | 46 | 4 | | 47 | 11 | | 48 | 21 | | 49 | 7 |
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| 75.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.5048543689320388 | | totalSentences | 103 | | uniqueOpeners | 52 | |
| 93.90% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 71 | | matches | | 0 | "Once, a man who had" | | 1 | "Then, slowly, began to rotate." |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 71 | | matches | | 0 | "He gestured vaguely at the" | | 1 | "She didn't look up." | | 2 | "Her fingers traced the edge" | | 3 | "Her green eyes traced the" | | 4 | "Her voice had changed" | | 5 | "She unfolded it carefully, revealing" | | 6 | "She tucked her hair behind" | | 7 | "She reached for the compass," |
| | ratio | 0.113 | |
| 51.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 71 | | matches | | 0 | "The blood refused to fall." | | 1 | "Quinn crouched beside the chalk" | | 2 | "Detective Inspector Harlow Quinn had" | | 3 | "Bodies in impossible positions." | | 4 | "Bullets that turned corners." | | 5 | "That formed patterns?" | | 6 | "That looked almost deliberate in" | | 7 | "That was new." | | 8 | "DC Reeves approached, his face" | | 9 | "He gestured vaguely at the" | | 10 | "She didn't look up." | | 11 | "Her fingers traced the edge" | | 12 | "The liquid had dried in" | | 13 | "Reeves retreated, grateful for the" | | 14 | "Quinn stood, brushing dust from" | | 15 | "The abandoned Chalk Farm station" | | 16 | "The sound of heels on" | | 17 | "Quinn's hand dropped to her" | | 18 | "A woman emerged from the" | | 19 | "A leather satchel clutched against" |
| | ratio | 0.817 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 3 | | matches | | 0 | "Once, a man who had apparently stabbed himself forty-seven times in a locked room from the inside." | | 1 | "Her green eyes traced the patterns on the wall with an intensity that had nothing to do with crime scene methodology." | | 2 | "The casing bore a patina of verdigris, and the face was etched with protective sigils that seemed to shift in the lamplight." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Eva whispered (whisper)" |
| | dialogueSentences | 40 | | tagDensity | 0.05 | | leniency | 0.1 | | rawRatio | 0.5 | | effectiveRatio | 0.05 | |