| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 5 | | adverbTags | | 0 | "Reid said confidently [confidently]" | | 1 | "Quinn crouched again [again]" | | 2 | "Quinn said quietly [quietly]" | | 3 | "she said instead [instead]" | | 4 | "Kowalski smiled faintly [faintly]" |
| | dialogueSentences | 80 | | tagDensity | 0.325 | | leniency | 0.65 | | rawRatio | 0.192 | | effectiveRatio | 0.125 | |
| 93.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1652 | | 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) | |
| 75.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1652 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "silence" | | 1 | "etched" | | 2 | "intricate" | | 3 | "standard" | | 4 | "pulse" |
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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 | 0 | | narrationSentences | 129 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 129 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 183 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 62 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1652 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 968 | | uniqueNames | 11 | | maxNameDensity | 1.96 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Reid" | | discoveredNames | | Sergeant | 1 | | Callum | 1 | | Reid | 17 | | Camden | 1 | | Town | 1 | | Quinn | 19 | | Whitechapel | 2 | | Morris | 2 | | Henry | 2 | | Ashworth | 2 | | Kowalski | 6 |
| | persons | | 0 | "Sergeant" | | 1 | "Callum" | | 2 | "Reid" | | 3 | "Quinn" | | 4 | "Morris" | | 5 | "Henry" | | 6 | "Ashworth" | | 7 | "Kowalski" |
| | places | | 0 | "Camden" | | 1 | "Town" | | 2 | "Whitechapel" |
| | globalScore | 0.519 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.605 | | wordCount | 1652 | | matches | | 0 | "not at Kowalski but past her, into the deeper dark of the station" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 183 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 83 | | mean | 19.9 | | std | 18.37 | | cv | 0.923 | | sampleLengths | | 0 | 28 | | 1 | 10 | | 2 | 57 | | 3 | 5 | | 4 | 10 | | 5 | 10 | | 6 | 61 | | 7 | 8 | | 8 | 63 | | 9 | 8 | | 10 | 9 | | 11 | 23 | | 12 | 69 | | 13 | 5 | | 14 | 8 | | 15 | 34 | | 16 | 16 | | 17 | 23 | | 18 | 1 | | 19 | 2 | | 20 | 14 | | 21 | 3 | | 22 | 5 | | 23 | 3 | | 24 | 31 | | 25 | 5 | | 26 | 26 | | 27 | 21 | | 28 | 19 | | 29 | 19 | | 30 | 20 | | 31 | 1 | | 32 | 6 | | 33 | 2 | | 34 | 11 | | 35 | 2 | | 36 | 8 | | 37 | 19 | | 38 | 50 | | 39 | 9 | | 40 | 34 | | 41 | 2 | | 42 | 11 | | 43 | 31 | | 44 | 11 | | 45 | 2 | | 46 | 25 | | 47 | 13 | | 48 | 27 | | 49 | 18 |
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| 97.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 129 | | matches | | 0 | "were covered" | | 1 | "been hidden" | | 2 | "been arranged" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 186 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 183 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 968 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.03925619834710744 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.011363636363636364 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 183 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 183 | | mean | 9.03 | | std | 8.09 | | cv | 0.896 | | sampleLengths | | 0 | 15 | | 1 | 13 | | 2 | 10 | | 3 | 8 | | 4 | 19 | | 5 | 20 | | 6 | 6 | | 7 | 4 | | 8 | 5 | | 9 | 10 | | 10 | 10 | | 11 | 3 | | 12 | 24 | | 13 | 7 | | 14 | 19 | | 15 | 8 | | 16 | 8 | | 17 | 7 | | 18 | 2 | | 19 | 2 | | 20 | 16 | | 21 | 16 | | 22 | 5 | | 23 | 15 | | 24 | 8 | | 25 | 6 | | 26 | 3 | | 27 | 3 | | 28 | 9 | | 29 | 4 | | 30 | 7 | | 31 | 11 | | 32 | 13 | | 33 | 6 | | 34 | 16 | | 35 | 17 | | 36 | 6 | | 37 | 5 | | 38 | 8 | | 39 | 5 | | 40 | 13 | | 41 | 4 | | 42 | 4 | | 43 | 8 | | 44 | 5 | | 45 | 11 | | 46 | 18 | | 47 | 5 | | 48 | 1 | | 49 | 2 |
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| 51.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.36065573770491804 | | totalSentences | 183 | | uniqueOpeners | 66 | |
| 61.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 108 | | matches | | 0 | "Then she noticed the face," | | 1 | "Then his shoulders tightened." |
| | ratio | 0.019 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 108 | | matches | | 0 | "She pushed it from her" | | 1 | "His face held an expression" | | 2 | "She had worn it herself" | | 3 | "she murmured, crouching" | | 4 | "She moved along the wall" | | 5 | "Her gloved fingers found a" | | 6 | "She pocketed it without a" | | 7 | "She indicated the man's face." | | 8 | "They did not bleed." | | 9 | "They did not scab." | | 10 | "They simply sat there, pale" | | 11 | "His face changed." | | 12 | "His eyes were open, pupils" | | 13 | "She gestured at the body" | | 14 | "He trailed off" | | 15 | "They had been hidden under" | | 16 | "She reached the end of" | | 17 | "She crouched once more and" | | 18 | "She pulled a small UV" | | 19 | "Her voice had changed" |
| | ratio | 0.278 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 108 | | matches | | 0 | "The body lay sprawled across" | | 1 | "Detective Sergeant Callum Reid crouched" | | 2 | "Quinn walked a slow circle" | | 3 | "The abandoned platform stretched into" | | 4 | "Someone had strung fairy lights" | | 5 | "She pushed it from her" | | 6 | "Sentiment was a luxury." | | 7 | "The silence stretched." | | 8 | "Reid frowned down at the" | | 9 | "His face held an expression" | | 10 | "She had worn it herself" | | 11 | "she murmured, crouching" | | 12 | "The pool around the body" | | 13 | "Quinn pulled a pen from" | | 14 | "The colour was off too." | | 15 | "Darker at the centre, lighter" | | 16 | "Reid said, his voice flat" | | 17 | "Quinn stood, brushing her knees" | | 18 | "The word mattered." | | 19 | "Staging was what killers did" |
| | ratio | 0.889 | |
| 46.30% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 108 | | matches | | 0 | "As if someone had poured" |
| | ratio | 0.009 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "It had grown warm against her thigh, pulsing faintly, the needle spinning in a way that suggested it was alive." | | 1 | "Quinn did not look away from Kowalski, but the compass in her pocket spun hard, north, toward a sound that was not a sound at all, and she understood, with the …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 1 | | matches | | 0 | "Reid said, his voice flat" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 3 | | fancyTags | | 0 | "she repeated (repeat)" | | 1 | "she murmured (murmur)" | | 2 | "Reid whispered (whisper)" |
| | dialogueSentences | 80 | | tagDensity | 0.188 | | leniency | 0.375 | | rawRatio | 0.2 | | effectiveRatio | 0.075 | |