| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.37 | | leniency | 0.741 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1296 | | totalAiIsmAdverbs | 1 | | 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) | |
| 96.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1296 | | totalAiIsms | 1 | | found | | | highlights | | |
| 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 | 125 | | matches | (empty) | |
| 97.14% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 125 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 142 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 17 | | totalWords | 1296 | | ratio | 0.013 | | matches | | 0 | "Not a fence, then." | | 1 | "If it goes quiet, Harlow, you walk away." | | 2 | "They know what I am." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1153 | | uniqueNames | 16 | | maxNameDensity | 0.95 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Herrera | 6 | | Inverness | 1 | | Street | 1 | | Met | 1 | | Saint | 2 | | Christopher | 2 | | Camden | 1 | | Raven | 1 | | Nest | 1 | | Quinn | 11 | | Harlow | 1 | | Northern | 1 | | Line | 1 | | West | 1 | | End | 1 | | Helmand | 1 |
| | persons | | 0 | "Herrera" | | 1 | "Met" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Camden" | | 5 | "Quinn" | | 6 | "Line" |
| | places | | 0 | "Inverness" | | 1 | "Street" | | 2 | "Raven" | | 3 | "West" | | 4 | "End" | | 5 | "Helmand" |
| | globalScore | 1 | | windowScore | 1 | |
| 48.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 3 | | matches | | 0 | "something like that once, three years ago, o" | | 1 | "looked like liquid smoke" | | 2 | "looked like pages torn from a bible" |
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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 | 1296 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 142 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 22.34 | | std | 20.05 | | cv | 0.897 | | sampleLengths | | 0 | 2 | | 1 | 45 | | 2 | 22 | | 3 | 5 | | 4 | 41 | | 5 | 60 | | 6 | 44 | | 7 | 26 | | 8 | 6 | | 9 | 8 | | 10 | 17 | | 11 | 43 | | 12 | 9 | | 13 | 4 | | 14 | 41 | | 15 | 9 | | 16 | 16 | | 17 | 29 | | 18 | 21 | | 19 | 35 | | 20 | 36 | | 21 | 1 | | 22 | 1 | | 23 | 25 | | 24 | 39 | | 25 | 8 | | 26 | 6 | | 27 | 5 | | 28 | 71 | | 29 | 11 | | 30 | 46 | | 31 | 1 | | 32 | 27 | | 33 | 2 | | 34 | 3 | | 35 | 15 | | 36 | 23 | | 37 | 34 | | 38 | 3 | | 39 | 12 | | 40 | 96 | | 41 | 48 | | 42 | 10 | | 43 | 5 | | 44 | 57 | | 45 | 30 | | 46 | 8 | | 47 | 1 | | 48 | 24 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 196 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 142 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1156 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02162629757785467 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0017301038062283738 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 142 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 142 | | mean | 9.13 | | std | 6.93 | | cv | 0.76 | | sampleLengths | | 0 | 2 | | 1 | 5 | | 2 | 21 | | 3 | 19 | | 4 | 14 | | 5 | 4 | | 6 | 4 | | 7 | 5 | | 8 | 3 | | 9 | 2 | | 10 | 22 | | 11 | 14 | | 12 | 6 | | 13 | 9 | | 14 | 10 | | 15 | 5 | | 16 | 30 | | 17 | 10 | | 18 | 12 | | 19 | 22 | | 20 | 7 | | 21 | 8 | | 22 | 1 | | 23 | 10 | | 24 | 6 | | 25 | 8 | | 26 | 7 | | 27 | 4 | | 28 | 6 | | 29 | 8 | | 30 | 24 | | 31 | 5 | | 32 | 6 | | 33 | 9 | | 34 | 4 | | 35 | 2 | | 36 | 10 | | 37 | 20 | | 38 | 2 | | 39 | 7 | | 40 | 9 | | 41 | 16 | | 42 | 4 | | 43 | 4 | | 44 | 21 | | 45 | 1 | | 46 | 5 | | 47 | 15 | | 48 | 6 | | 49 | 29 |
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| 69.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.44366197183098594 | | totalSentences | 142 | | uniqueOpeners | 63 | |
| 89.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 112 | | matches | | 0 | "Then he cut through a" | | 1 | "Then a second beam of" | | 2 | "Instead, the abandoned station roared" |
| | ratio | 0.027 | |
| 77.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 112 | | matches | | 0 | "He hurdled a bin bag" | | 1 | "He had a plan." | | 2 | "He glanced back." | | 3 | "She hit them with her" | | 4 | "Her left wrist burned where" | | 5 | "He crossed the canal bridge" | | 6 | "His breath rasped loud enough" | | 7 | "He sounded almost amused." | | 8 | "He went straight for the" | | 9 | "Her fingers found the back" | | 10 | "He twisted, and she saw" | | 11 | "She stood in the rain" | | 12 | "She was sure of it." | | 13 | "She rolled it under her" | | 14 | "She thumbed her radio." | | 15 | "She pulled out her mobile." | | 16 | "she said to the rain" | | 17 | "She stepped through the fence." | | 18 | "Her torch beam picked out" | | 19 | "She reached the bottom and" |
| | ratio | 0.357 | |
| 62.68% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 112 | | matches | | 0 | "Tomás Herrera did not stop." | | 1 | "He hurdled a bin bag" | | 2 | "Quinn ran after him, her" | | 3 | "Herrera had not tired." | | 4 | "He had a plan." | | 5 | "He glanced back." | | 6 | "Rain plastered his curls to" | | 7 | "Quinn did not shout at" | | 8 | "She hit them with her" | | 9 | "A girl in a sequinned" | | 10 | "A man dropped his chips." | | 11 | "The market stalls of Camden" | | 12 | "Her left wrist burned where" | | 13 | "He crossed the canal bridge" | | 14 | "Quinn gained a step on" | | 15 | "His breath rasped loud enough" | | 16 | "He sounded almost amused." | | 17 | "Quinn did not find it" | | 18 | "Graffiti crawled over the brick," | | 19 | "Herrera didn't check his stride." |
| | ratio | 0.795 | |
| 89.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 112 | | matches | | 0 | "*If it goes quiet, Harlow," | | 1 | "Even from here, Quinn saw" |
| | ratio | 0.018 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 2 | | matches | | 0 | "Nine minutes of following a man who carried a medical bag into a bar at midnight and came out with it heavier." | | 1 | "Beyond it, a concrete stairwell dropped into a darkness that smelled of wet iron, old smoke and something sweet underneath, like fruit left too long in a warm r…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 27 | | tagDensity | 0.074 | | leniency | 0.148 | | rawRatio | 0.5 | | effectiveRatio | 0.074 | |