| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 65 | | tagDensity | 0.169 | | leniency | 0.338 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1479 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 83.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1479 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "electric" | | 1 | "eyebrow" | | 2 | "flickered" | | 3 | "throb" | | 4 | "shattered" |
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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 | 141 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 141 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 194 | | 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 | 1479 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 55.66% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1113 | | uniqueNames | 7 | | maxNameDensity | 1.89 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 21 | | Colin | 1 | | Rook | 16 | | Camden | 1 | | Vale | 4 | | Leonard | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Colin" | | 3 | "Rook" | | 4 | "Camden" | | 5 | "Vale" | | 6 | "Leonard" |
| | places | (empty) | | globalScore | 0.557 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | 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 | 1479 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 194 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 128 | | mean | 11.55 | | std | 12.12 | | cv | 1.049 | | sampleLengths | | 0 | 20 | | 1 | 43 | | 2 | 9 | | 3 | 26 | | 4 | 4 | | 5 | 34 | | 6 | 3 | | 7 | 3 | | 8 | 5 | | 9 | 14 | | 10 | 39 | | 11 | 5 | | 12 | 8 | | 13 | 20 | | 14 | 48 | | 15 | 1 | | 16 | 18 | | 17 | 11 | | 18 | 5 | | 19 | 3 | | 20 | 49 | | 21 | 7 | | 22 | 18 | | 23 | 1 | | 24 | 11 | | 25 | 47 | | 26 | 5 | | 27 | 4 | | 28 | 27 | | 29 | 6 | | 30 | 4 | | 31 | 5 | | 32 | 34 | | 33 | 1 | | 34 | 5 | | 35 | 13 | | 36 | 2 | | 37 | 10 | | 38 | 7 | | 39 | 11 | | 40 | 2 | | 41 | 42 | | 42 | 8 | | 43 | 5 | | 44 | 3 | | 45 | 3 | | 46 | 4 | | 47 | 6 | | 48 | 15 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 141 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 187 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 194 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1113 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.022461814914645103 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 194 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 194 | | mean | 7.62 | | std | 5.06 | | cv | 0.663 | | sampleLengths | | 0 | 20 | | 1 | 7 | | 2 | 15 | | 3 | 21 | | 4 | 9 | | 5 | 8 | | 6 | 18 | | 7 | 4 | | 8 | 5 | | 9 | 18 | | 10 | 11 | | 11 | 3 | | 12 | 3 | | 13 | 5 | | 14 | 3 | | 15 | 11 | | 16 | 9 | | 17 | 19 | | 18 | 11 | | 19 | 5 | | 20 | 8 | | 21 | 4 | | 22 | 16 | | 23 | 10 | | 24 | 18 | | 25 | 4 | | 26 | 16 | | 27 | 1 | | 28 | 7 | | 29 | 11 | | 30 | 11 | | 31 | 5 | | 32 | 3 | | 33 | 7 | | 34 | 7 | | 35 | 6 | | 36 | 7 | | 37 | 8 | | 38 | 14 | | 39 | 7 | | 40 | 18 | | 41 | 1 | | 42 | 11 | | 43 | 3 | | 44 | 9 | | 45 | 16 | | 46 | 19 | | 47 | 5 | | 48 | 4 | | 49 | 27 |
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| 54.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.35051546391752575 | | totalSentences | 194 | | uniqueOpeners | 68 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 124 | | matches | | 0 | "Somewhere beyond the tracks, water" | | 1 | "Then the air shifted." | | 2 | "Then the lamps returned." | | 3 | "Then Leonard Vale opened his" |
| | ratio | 0.032 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 124 | | matches | | 0 | "His shoes pointed at the" | | 1 | "Her brown eyes travelled from" | | 2 | "He stood beneath the clock" | | 3 | "She pressed two fingers against" | | 4 | "She did not touch it." | | 5 | "He held a clear evidence" | | 6 | "It came out too fast." | | 7 | "She took the bag." | | 8 | "It carried iron, damp wool," | | 9 | "She clicked it on." | | 10 | "Its beam cut through the" | | 11 | "It was no larger than" | | 12 | "She did not reach for" | | 13 | "Her torchlight caught more detail" | | 14 | "His fingernails had broken down" | | 15 | "He had clawed at something." | | 16 | "His hands carried no tile" | | 17 | "It ran from the platform" | | 18 | "He moved towards the seam," | | 19 | "It did not have skin." |
| | ratio | 0.169 | |
| 36.61% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 105 | | totalSentences | 124 | | matches | | 0 | "Detective Harlow Quinn stepped over" | | 1 | "His shoes pointed at the" | | 2 | "Blood had run along his" | | 3 | "Someone had tied his ankles" | | 4 | "CHALK FARM, the sign read" | | 5 | "Quinn stopped at the edge" | | 6 | "Her brown eyes travelled from" | | 7 | "He stood beneath the clock" | | 8 | "Rook’s mouth tightened." | | 9 | "Quinn glanced towards the far" | | 10 | "A narrow service passage yawned" | | 11 | "Quinn did not smile." | | 12 | "She pressed two fingers against" | | 13 | "The abandoned station sat beneath" | | 14 | "Rust freckled the rails." | | 15 | "A rank smell clung to" | | 16 | "This had a sharper scent," | | 17 | "A crime scene photographer crouched" | | 18 | "The photographer froze." | | 19 | "Quinn walked past the yellow" |
| | ratio | 0.847 | |
| 40.32% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 124 | | matches | | 0 | "Now they curled around a" |
| | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 1 | | matches | | 0 | "It was no larger than a pound coin, carved from yellowed ivory or something that resembled it." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 65 | | tagDensity | 0.169 | | leniency | 0.338 | | rawRatio | 0.091 | | effectiveRatio | 0.031 | |