| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.302 | | leniency | 0.605 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1369 | | 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) | |
| 78.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1369 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "flickered" | | 1 | "warmth" | | 2 | "etched" | | 3 | "magnetic" | | 4 | "weight" |
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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 | 77 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 77 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 107 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1369 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1038 | | uniqueNames | 19 | | maxNameDensity | 0.87 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Kentish | 1 | | Town | 1 | | Camden | 1 | | Rhodes | 7 | | Quinn | 9 | | Eighteen | 1 | | London | 1 | | Boots | 1 | | Freedom | 1 | | Pass | 1 | | Gerald | 1 | | Pyke | 1 | | British | 1 | | Museum | 1 | | Greek | 1 | | Roman | 1 | | Antiquities | 1 | | Morris | 2 | | Deptford | 1 |
| | persons | | 0 | "Rhodes" | | 1 | "Quinn" | | 2 | "Pass" | | 3 | "Gerald" | | 4 | "Pyke" | | 5 | "Roman" | | 6 | "Antiquities" | | 7 | "Morris" |
| | places | | 0 | "Kentish" | | 1 | "Town" | | 2 | "London" | | 3 | "Deptford" |
| | globalScore | 1 | | windowScore | 1 | |
| 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 | 1369 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 24.89 | | std | 23.8 | | cv | 0.956 | | sampleLengths | | 0 | 8 | | 1 | 73 | | 2 | 33 | | 3 | 4 | | 4 | 50 | | 5 | 1 | | 6 | 2 | | 7 | 40 | | 8 | 25 | | 9 | 30 | | 10 | 7 | | 11 | 4 | | 12 | 63 | | 13 | 7 | | 14 | 78 | | 15 | 6 | | 16 | 4 | | 17 | 5 | | 18 | 43 | | 19 | 3 | | 20 | 45 | | 21 | 15 | | 22 | 36 | | 23 | 11 | | 24 | 39 | | 25 | 72 | | 26 | 21 | | 27 | 1 | | 28 | 7 | | 29 | 2 | | 30 | 4 | | 31 | 75 | | 32 | 12 | | 33 | 49 | | 34 | 3 | | 35 | 4 | | 36 | 90 | | 37 | 36 | | 38 | 4 | | 39 | 33 | | 40 | 42 | | 41 | 6 | | 42 | 8 | | 43 | 52 | | 44 | 10 | | 45 | 37 | | 46 | 3 | | 47 | 44 | | 48 | 17 | | 49 | 4 |
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| 91.59% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 77 | | matches | | 0 | "been handled" | | 1 | "was rucked" | | 2 | "been sealed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 148 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 107 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1040 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, cramped, careful hand." |
| | adverbCount | 23 | | adverbRatio | 0.022115384615384617 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0028846153846153848 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 107 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 107 | | mean | 12.79 | | std | 10.98 | | cv | 0.858 | | sampleLengths | | 0 | 8 | | 1 | 23 | | 2 | 10 | | 3 | 40 | | 4 | 3 | | 5 | 3 | | 6 | 27 | | 7 | 4 | | 8 | 20 | | 9 | 14 | | 10 | 16 | | 11 | 1 | | 12 | 2 | | 13 | 22 | | 14 | 4 | | 15 | 14 | | 16 | 25 | | 17 | 6 | | 18 | 24 | | 19 | 7 | | 20 | 4 | | 21 | 33 | | 22 | 10 | | 23 | 5 | | 24 | 15 | | 25 | 7 | | 26 | 8 | | 27 | 5 | | 28 | 22 | | 29 | 17 | | 30 | 26 | | 31 | 6 | | 32 | 4 | | 33 | 5 | | 34 | 8 | | 35 | 35 | | 36 | 3 | | 37 | 3 | | 38 | 42 | | 39 | 6 | | 40 | 9 | | 41 | 19 | | 42 | 17 | | 43 | 11 | | 44 | 35 | | 45 | 4 | | 46 | 40 | | 47 | 8 | | 48 | 1 | | 49 | 3 |
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| 97.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.6635514018691588 | | totalSentences | 107 | | uniqueOpeners | 71 | |
| 50.51% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 66 | | matches | | 0 | "Definitely bone, sanded flat and" |
| | ratio | 0.015 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 66 | | matches | | 0 | "Her torch beam swung across" | | 1 | "He was thirty-two and still" | | 2 | "She'd come down a filthy" | | 3 | "They filled the length of" | | 4 | "She turned her light on" | | 5 | "She put her palm flat" | | 6 | "It had been handled so" | | 7 | "She dropped it in a" | | 8 | "She went back to the" | | 9 | "His hands were the wrong" | | 10 | "His right sleeve was rucked" | | 11 | "She rose, joints clicking" | | 12 | "He picked it up." | | 13 | "It came round through south" |
| | ratio | 0.212 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 66 | | matches | | 0 | "Quinn took the warning and" | | 1 | "Her torch beam swung across" | | 2 | "South Kentish Town." | | 3 | "Somebody had cut the padlock" | | 4 | "DS Rhodes waited for her" | | 5 | "He was thirty-two and still" | | 6 | "The lower passage curved and" | | 7 | "The third flickered in a" | | 8 | "The body lay in the" | | 9 | "Quinn crouched at arm's length" | | 10 | "Morris had taught her that." | | 11 | "The shoes were the first" | | 12 | "Brown brogues, decent make, resoled" | | 13 | "Everything else on that platform" | | 14 | "She'd come down a filthy" | | 15 | "Rhodes turned his torch on" | | 16 | "The dust lay in a" | | 17 | "Hundreds of them." | | 18 | "They filled the length of" | | 19 | "Quinn stood and walked the" |
| | ratio | 0.682 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "A crust of it, white and coarse, all around the bottom eight inches, as if he'd waded a shallow sea." | | 1 | "In the dark, on cold air moving up out of a tunnel that had been sealed since before either of them was born, Quinn heard the dust on the platform shift under t…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "a voice she had (have)" |
| | dialogueSentences | 43 | | tagDensity | 0.14 | | leniency | 0.279 | | rawRatio | 0.167 | | effectiveRatio | 0.047 | |