| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 67 | | tagDensity | 0.104 | | leniency | 0.209 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1335 | | 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) | |
| 77.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1335 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "trembled" | | 1 | "quivered" | | 2 | "footsteps" | | 3 | "fluttered" | | 4 | "pulsed" | | 5 | "flickered" |
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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 | 128 | | matches | (empty) | |
| 98.21% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 128 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 188 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1335 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 44.96% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 952 | | uniqueNames | 6 | | maxNameDensity | 2.1 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 20 | | Tube | 1 | | Vale | 16 | | Camden | 1 | | Morris | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Vale" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0.45 | | windowScore | 0.667 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 2 | | matches | | 0 | "appeared beneath his heels" | | 1 | "appeared beside them, smaller, the soles shaped like old-fashioned women’s shoes" |
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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 | 1335 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 188 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 125 | | mean | 10.68 | | std | 10.64 | | cv | 0.996 | | sampleLengths | | 0 | 14 | | 1 | 49 | | 2 | 10 | | 3 | 9 | | 4 | 26 | | 5 | 6 | | 6 | 3 | | 7 | 30 | | 8 | 3 | | 9 | 6 | | 10 | 12 | | 11 | 8 | | 12 | 4 | | 13 | 16 | | 14 | 6 | | 15 | 54 | | 16 | 7 | | 17 | 2 | | 18 | 32 | | 19 | 4 | | 20 | 23 | | 21 | 23 | | 22 | 2 | | 23 | 8 | | 24 | 9 | | 25 | 7 | | 26 | 33 | | 27 | 5 | | 28 | 4 | | 29 | 8 | | 30 | 12 | | 31 | 13 | | 32 | 1 | | 33 | 5 | | 34 | 16 | | 35 | 5 | | 36 | 6 | | 37 | 2 | | 38 | 28 | | 39 | 18 | | 40 | 5 | | 41 | 5 | | 42 | 4 | | 43 | 2 | | 44 | 15 | | 45 | 8 | | 46 | 8 | | 47 | 1 | | 48 | 6 | | 49 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 163 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 188 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 953 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.013641133263378805 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.001049317943336831 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 188 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 188 | | mean | 7.1 | | std | 4.97 | | cv | 0.7 | | sampleLengths | | 0 | 14 | | 1 | 16 | | 2 | 16 | | 3 | 7 | | 4 | 10 | | 5 | 10 | | 6 | 9 | | 7 | 2 | | 8 | 3 | | 9 | 16 | | 10 | 2 | | 11 | 3 | | 12 | 6 | | 13 | 3 | | 14 | 7 | | 15 | 23 | | 16 | 3 | | 17 | 6 | | 18 | 7 | | 19 | 5 | | 20 | 8 | | 21 | 4 | | 22 | 8 | | 23 | 8 | | 24 | 6 | | 25 | 17 | | 26 | 12 | | 27 | 15 | | 28 | 6 | | 29 | 4 | | 30 | 7 | | 31 | 2 | | 32 | 12 | | 33 | 9 | | 34 | 11 | | 35 | 4 | | 36 | 3 | | 37 | 20 | | 38 | 12 | | 39 | 11 | | 40 | 2 | | 41 | 8 | | 42 | 9 | | 43 | 2 | | 44 | 5 | | 45 | 6 | | 46 | 9 | | 47 | 10 | | 48 | 8 | | 49 | 5 |
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| 52.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.34574468085106386 | | totalSentences | 188 | | uniqueOpeners | 65 | |
| 91.74% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 109 | | matches | | 0 | "Then a second set appeared" | | 1 | "Pale blue light pulsed in" | | 2 | "Then she looked at the" |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 109 | | matches | | 0 | "Her leather watch showed 2:17" | | 1 | "He wore a dark overcoat," | | 2 | "His eyes stared at the" | | 3 | "His mouth hung open." | | 4 | "Its needle trembled, swung east," | | 5 | "It had dried in a" | | 6 | "She studied the body" | | 7 | "It did not point towards" | | 8 | "It pointed straight down." | | 9 | "She reached for the instrument." | | 10 | "She followed it with her" | | 11 | "It ran uphill." | | 12 | "Her sharp jaw tightened as" | | 13 | "Its bulb glowed without heat." | | 14 | "He looked towards the constables." | | 15 | "She crouched near the floor." | | 16 | "They crossed the dust in" | | 17 | "She reached out and pressed" | | 18 | "Her watch stopped at 2:17." | | 19 | "She forced her wrist down." |
| | ratio | 0.22 | |
| 28.81% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 94 | | totalSentences | 109 | | matches | | 0 | "Detective Harlow Quinn ducked beneath" | | 1 | "The air tasted of rust," | | 2 | "A single work lamp burned" | | 3 | "The tracks had vanished beneath" | | 4 | "Quinn counted them before she" | | 5 | "Sergeant Vale, who had arrived" | | 6 | "Her leather watch showed 2:17" | | 7 | "Vale lifted his chin towards" | | 8 | "Quinn’s brown eyes moved over" | | 9 | "Vale glanced at the tiled" | | 10 | "Quinn stepped closer to the" | | 11 | "The dead man lay on" | | 12 | "He wore a dark overcoat," | | 13 | "Blood had spread beneath his" | | 14 | "His eyes stared at the" | | 15 | "His mouth hung open." | | 16 | "A brass compass rested on" | | 17 | "The little instrument bore a" | | 18 | "Its needle trembled, swung east," | | 19 | "Vale shifted beside her." |
| | ratio | 0.862 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 109 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 67 | | tagDensity | 0.09 | | leniency | 0.179 | | rawRatio | 0.167 | | effectiveRatio | 0.03 | |