| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "She crouched again [again]" |
| | dialogueSentences | 38 | | tagDensity | 0.211 | | leniency | 0.421 | | rawRatio | 0.125 | | effectiveRatio | 0.053 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1319 | | 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) | |
| 77.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1319 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "perfect" | | 1 | "aligned" | | 2 | "etched" | | 3 | "quivered" | | 4 | "pulse" | | 5 | "raced" |
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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) | |
| 92.44% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 85 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 98 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1319 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 768 | | uniqueNames | 12 | | maxNameDensity | 0.78 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Reyes | 5 | | August | 1 | | Thames | 1 | | Hassan | 2 | | Camden | 2 | | Quinn | 6 | | Morris | 1 | | Restricted | 1 | | Archives | 1 | | British | 1 | | Museum | 1 | | Brooks | 3 |
| | persons | | 0 | "Reyes" | | 1 | "Hassan" | | 2 | "Quinn" | | 3 | "Morris" | | 4 | "Museum" | | 5 | "Brooks" |
| | places | | 0 | "August" | | 1 | "Thames" | | 2 | "Camden" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "something close to eagerness" |
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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 | 1319 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 115 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 23.98 | | std | 25.96 | | cv | 1.083 | | sampleLengths | | 0 | 6 | | 1 | 60 | | 2 | 1 | | 3 | 14 | | 4 | 5 | | 5 | 2 | | 6 | 63 | | 7 | 20 | | 8 | 63 | | 9 | 43 | | 10 | 19 | | 11 | 65 | | 12 | 49 | | 13 | 5 | | 14 | 7 | | 15 | 2 | | 16 | 5 | | 17 | 36 | | 18 | 52 | | 19 | 4 | | 20 | 14 | | 21 | 17 | | 22 | 8 | | 23 | 91 | | 24 | 8 | | 25 | 12 | | 26 | 22 | | 27 | 6 | | 28 | 56 | | 29 | 37 | | 30 | 24 | | 31 | 17 | | 32 | 13 | | 33 | 43 | | 34 | 5 | | 35 | 8 | | 36 | 44 | | 37 | 3 | | 38 | 6 | | 39 | 16 | | 40 | 5 | | 41 | 139 | | 42 | 3 | | 43 | 36 | | 44 | 21 | | 45 | 9 | | 46 | 34 | | 47 | 19 | | 48 | 6 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 43.75% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 128 | | matches | | 0 | "was already tracking" | | 1 | "was still getting" | | 2 | "was writing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 115 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 771 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.029831387808041506 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0012970168612191958 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 11.47 | | std | 13.2 | | cv | 1.151 | | sampleLengths | | 0 | 6 | | 1 | 16 | | 2 | 12 | | 3 | 32 | | 4 | 1 | | 5 | 14 | | 6 | 5 | | 7 | 2 | | 8 | 17 | | 9 | 46 | | 10 | 7 | | 11 | 2 | | 12 | 11 | | 13 | 63 | | 14 | 15 | | 15 | 28 | | 16 | 5 | | 17 | 4 | | 18 | 10 | | 19 | 18 | | 20 | 12 | | 21 | 3 | | 22 | 3 | | 23 | 20 | | 24 | 9 | | 25 | 10 | | 26 | 12 | | 27 | 6 | | 28 | 2 | | 29 | 19 | | 30 | 5 | | 31 | 7 | | 32 | 2 | | 33 | 5 | | 34 | 18 | | 35 | 13 | | 36 | 2 | | 37 | 3 | | 38 | 6 | | 39 | 11 | | 40 | 1 | | 41 | 16 | | 42 | 18 | | 43 | 4 | | 44 | 14 | | 45 | 17 | | 46 | 8 | | 47 | 32 | | 48 | 59 | | 49 | 8 |
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| 91.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.6173913043478261 | | totalSentences | 115 | | uniqueOpeners | 71 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 68 | | matches | | 0 | "Then at the ring." | | 1 | "Then at the clipboard, which" | | 2 | "Somewhere above them, behind a" |
| | ratio | 0.044 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 68 | | matches | | 0 | "She stood, parade-ground straight, knees" | | 1 | "He flipped a page on" | | 2 | "She circled the body, hands" | | 3 | "His hands rested in his" | | 4 | "She counted them twice, because" | | 5 | "Her torch beam crawled up" | | 6 | "He lasted four minutes and" | | 7 | "She walked to the platform" | | 8 | "She chipped a curl of" | | 9 | "She crouched again and pointed" | | 10 | "It held a line down" | | 11 | "She knew those marks." | | 12 | "She turned back to the" |
| | ratio | 0.191 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 68 | | matches | | 0 | "The dead man's shoes were" | | 1 | "Quinn crouched at the edge" | | 2 | "Brown leather, pale soles, polished" | | 3 | "Reyes, at her shoulder, clipboard" | | 4 | "She stood, parade-ground straight, knees" | | 5 | "He flipped a page on" | | 6 | "Reyes was twenty-nine, keen, and" | | 7 | "She circled the body, hands" | | 8 | "Reyes looked at the tiles." | | 9 | "Ashe knelt at the centre" | | 10 | "His hands rested in his" | | 11 | "She counted them twice, because" | | 12 | "Her torch beam crawled up" | | 13 | "A ghost advert, painted in" | | 14 | "A smiling woman raising a" | | 15 | "He lasted four minutes and" | | 16 | "Ozone, sharp as a struck" | | 17 | "She walked to the platform" | | 18 | "The tracks ran dead in" | | 19 | "She chipped a curl of" |
| | ratio | 0.706 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 79.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 3 | | matches | | 0 | "Brooks from forensics held out an evidence bag between two gloved fingers, the way you'd hold something that had bitten you." | | 1 | "Purposeful marks, cut by a steady hand that knew exactly what it was writing." | | 2 | "From the last page of a notebook that had gone into the ground with DS Morris three years ago, closed casket, open questions." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "She circled, hands clasped behind her back" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.053 | | leniency | 0.105 | | rawRatio | 0 | | effectiveRatio | 0 | |