| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1058 | | 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) | |
| 38.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1058 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "echoing" | | 1 | "tracing" | | 2 | "scanning" | | 3 | "shattered" | | 4 | "etched" | | 5 | "tinged" | | 6 | "familiar" | | 7 | "rhythmic" | | 8 | "oppressive" | | 9 | "silence" | | 10 | "echoed" | | 11 | "flickered" |
| |
| 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 | 85 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 85 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1052 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 86.31% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 942 | | uniqueNames | 12 | | maxNameDensity | 1.27 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Sergeant | 1 | | Mills | 10 | | Aldwych | 1 | | Harlow | 2 | | Quinn | 12 | | Oxfords | 1 | | Morris | 2 | | Strand | 1 | | Veil | 1 | | Compass | 1 | | London | 1 | | Detective | 2 |
| | persons | | 0 | "Sergeant" | | 1 | "Mills" | | 2 | "Harlow" | | 3 | "Quinn" | | 4 | "Morris" |
| | places | | | globalScore | 0.863 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | 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 | 1052 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 37.57 | | std | 22.48 | | cv | 0.598 | | sampleLengths | | 0 | 21 | | 1 | 42 | | 2 | 84 | | 3 | 40 | | 4 | 30 | | 5 | 40 | | 6 | 36 | | 7 | 59 | | 8 | 63 | | 9 | 3 | | 10 | 10 | | 11 | 42 | | 12 | 95 | | 13 | 61 | | 14 | 18 | | 15 | 17 | | 16 | 57 | | 17 | 9 | | 18 | 56 | | 19 | 5 | | 20 | 32 | | 21 | 7 | | 22 | 30 | | 23 | 34 | | 24 | 43 | | 25 | 39 | | 26 | 29 | | 27 | 50 |
| |
| 72.24% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 8 | | totalSentences | 85 | | matches | | 0 | "was unblemished" | | 1 | "been etched" | | 2 | "been carved" | | 3 | "was supposed" | | 4 | "was filled" | | 5 | "was drilled" | | 6 | "were plunged" | | 7 | "was accompanied" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 137 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 93 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 947 | | adjectiveStacks | 1 | | stackExamples | | 0 | "dervish trapped under glass." |
| | adverbCount | 32 | | adverbRatio | 0.0337909186906019 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007391763463569166 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 11.31 | | std | 6.61 | | cv | 0.584 | | sampleLengths | | 0 | 16 | | 1 | 1 | | 2 | 4 | | 3 | 31 | | 4 | 11 | | 5 | 4 | | 6 | 21 | | 7 | 10 | | 8 | 15 | | 9 | 14 | | 10 | 16 | | 11 | 4 | | 12 | 12 | | 13 | 16 | | 14 | 12 | | 15 | 10 | | 16 | 12 | | 17 | 8 | | 18 | 12 | | 19 | 18 | | 20 | 10 | | 21 | 19 | | 22 | 13 | | 23 | 3 | | 24 | 1 | | 25 | 16 | | 26 | 18 | | 27 | 10 | | 28 | 10 | | 29 | 5 | | 30 | 13 | | 31 | 18 | | 32 | 3 | | 33 | 17 | | 34 | 12 | | 35 | 3 | | 36 | 4 | | 37 | 6 | | 38 | 7 | | 39 | 14 | | 40 | 21 | | 41 | 9 | | 42 | 16 | | 43 | 28 | | 44 | 7 | | 45 | 18 | | 46 | 17 | | 47 | 9 | | 48 | 10 | | 49 | 16 |
| |
| 68.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.45161290322580644 | | totalSentences | 93 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 80 | | matches | | 0 | "Too much of it." | | 1 | "Then, from the darkness, a" | | 2 | "Even Mills's torch had died." |
| | ratio | 0.038 | |
| 55.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 80 | | matches | | 0 | "She remained crouched beside the" | | 1 | "It had no place here," | | 2 | "His expensive wool coat was" | | 3 | "His shoes were immaculate." | | 4 | "She ran a gloved finger" | | 5 | "Her movements were economical, imbued" | | 6 | "She nodded towards the victim's" | | 7 | "It looked deliberate." | | 8 | "It was a feeling she" | | 9 | "She stopped beside a pillar," | | 10 | "It wasn't paint." | | 11 | "It looked as if it" | | 12 | "She pulled a small brass" | | 13 | "It pointed towards the body," | | 14 | "Her attention shifted from the" | | 15 | "It wasn’t rubbish." | | 16 | "It looked like bone." | | 17 | "She swung her legs over" | | 18 | "She crouched, using the end" | | 19 | "It was a flat, circular" |
| | ratio | 0.413 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 80 | | matches | | 0 | "The stench of ozone and" | | 1 | "Detective Sergeant Mills stood silhouetted" | | 2 | "Harlow Quinn said nothing." | | 3 | "She remained crouched beside the" | | 4 | "It had no place here," | | 5 | "The victim lay on his" | | 6 | "His expensive wool coat was" | | 7 | "His shoes were immaculate." | | 8 | "Quinn observed, her voice low" | | 9 | "She ran a gloved finger" | | 10 | "Mills offered, stepping closer" | | 11 | "The beam from his torch" | | 12 | "Quinn rose to her full" | | 13 | "Her movements were economical, imbued" | | 14 | "She nodded towards the victim's" | | 15 | "A small, clear baggie of" | | 16 | "It looked deliberate." | | 17 | "Quinn began a slow circuit" | | 18 | "The air was cold, heavy" | | 19 | "A static charge that prickled" |
| | ratio | 0.875 | |
| 62.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 80 | | matches | | 0 | "Before Mills could speak, before" |
| | ratio | 0.013 | |
| 79.37% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 4 | | matches | | 0 | "Her movements were economical, imbued with a military precision that years behind a desk had failed to blunt." | | 1 | "A static charge that prickled the hairs on her arms." | | 2 | "It looked as if it had been carved with a fingernail of impossible strength, sharp and precise." | | 3 | "He unholstered his own weapon, peering into the oppressive blackness that swallowed the reach of their floodlights." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn observed, her voice low and flat" | | 1 | "she whispered, her voice sharp" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn observed (observe)" | | 1 | "Mills called out (call out)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 17 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0.6 | | effectiveRatio | 0.353 | |