| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn said slowly [slowly]" |
| | dialogueSentences | 37 | | tagDensity | 0.27 | | leniency | 0.541 | | rawRatio | 0.1 | | effectiveRatio | 0.054 | |
| 91.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1204 | | 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) | |
| 37.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1204 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "silk" | | 1 | "perfect" | | 2 | "mechanical" | | 3 | "pristine" | | 4 | "silence" | | 5 | "throbbed" | | 6 | "etched" | | 7 | "whisper" | | 8 | "pulse" | | 9 | "warmth" | | 10 | "rhythmic" | | 11 | "echoed" | | 12 | "trembled" |
| |
| 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 | 119 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 119 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1204 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 53.63% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 882 | | uniqueNames | 7 | | maxNameDensity | 1.93 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Eighteen | 1 | | Underground | 1 | | Quinn | 17 | | Eva | 11 | | Silence | 1 | | Dust | 2 | | Compass | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Eva" | | 2 | "Silence" | | 3 | "Dust" | | 4 | "Compass" |
| | places | (empty) | | globalScore | 0.536 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.831 | | wordCount | 1204 | | matches | | 0 | "Not into place, but into a shape she didn't have a name for" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 145 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 22.3 | | std | 19.36 | | cv | 0.868 | | sampleLengths | | 0 | 20 | | 1 | 6 | | 2 | 20 | | 3 | 7 | | 4 | 44 | | 5 | 22 | | 6 | 13 | | 7 | 48 | | 8 | 68 | | 9 | 25 | | 10 | 2 | | 11 | 4 | | 12 | 6 | | 13 | 15 | | 14 | 38 | | 15 | 49 | | 16 | 33 | | 17 | 19 | | 18 | 6 | | 19 | 4 | | 20 | 36 | | 21 | 7 | | 22 | 40 | | 23 | 2 | | 24 | 16 | | 25 | 3 | | 26 | 10 | | 27 | 73 | | 28 | 4 | | 29 | 37 | | 30 | 9 | | 31 | 7 | | 32 | 73 | | 33 | 5 | | 34 | 32 | | 35 | 8 | | 36 | 17 | | 37 | 6 | | 38 | 14 | | 39 | 43 | | 40 | 40 | | 41 | 8 | | 42 | 28 | | 43 | 18 | | 44 | 59 | | 45 | 12 | | 46 | 15 | | 47 | 21 | | 48 | 35 | | 49 | 6 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 119 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 158 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 145 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 889 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.023622047244094488 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.00562429696287964 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 8.3 | | std | 5.57 | | cv | 0.671 | | sampleLengths | | 0 | 20 | | 1 | 6 | | 2 | 3 | | 3 | 17 | | 4 | 7 | | 5 | 12 | | 6 | 13 | | 7 | 9 | | 8 | 10 | | 9 | 6 | | 10 | 16 | | 11 | 13 | | 12 | 5 | | 13 | 19 | | 14 | 7 | | 15 | 14 | | 16 | 3 | | 17 | 10 | | 18 | 9 | | 19 | 7 | | 20 | 2 | | 21 | 2 | | 22 | 21 | | 23 | 6 | | 24 | 5 | | 25 | 6 | | 26 | 4 | | 27 | 8 | | 28 | 7 | | 29 | 6 | | 30 | 2 | | 31 | 4 | | 32 | 6 | | 33 | 4 | | 34 | 11 | | 35 | 26 | | 36 | 12 | | 37 | 4 | | 38 | 5 | | 39 | 14 | | 40 | 13 | | 41 | 13 | | 42 | 2 | | 43 | 5 | | 44 | 8 | | 45 | 4 | | 46 | 1 | | 47 | 5 | | 48 | 5 | | 49 | 3 |
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| 44.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.31724137931034485 | | totalSentences | 145 | | uniqueOpeners | 46 | |
| 95.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 105 | | matches | | 0 | "Everywhere, that was, except for" | | 1 | "Then at the body." | | 2 | "Then it jerked sideways." |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 105 | | matches | | 0 | "Her boots crunched on broken" | | 1 | "Her worn leather satchel sagged" | | 2 | "His complexion held the waxy" | | 3 | "She had catalogued overdoses in" | | 4 | "She had bagged jumpers and" | | 5 | "Her left hand strayed to" | | 6 | "She ran a gloved finger" | | 7 | "It simply ended." | | 8 | "She examined the brogues again." | | 9 | "It depicted an eye within" | | 10 | "They struck a hard cylinder" | | 11 | "She withdrew a small brass" | | 12 | "She thumbed the lid open." | | 13 | "She stalked toward the tunnel" | | 14 | "She scraped a fingernail along" | | 15 | "She pressed her palm flat" | | 16 | "It radiated heat." | | 17 | "She held up her fingers" | | 18 | "He had handled harsh substances" | | 19 | "She turned over one slack" |
| | ratio | 0.238 | |
| 55.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 105 | | matches | | 0 | "The torch beam caught her" | | 1 | "Eva didn't flinch." | | 2 | "Quinn strode across the platform" | | 3 | "Her boots crunched on broken" | | 4 | "Eva sat back on her" | | 5 | "Her worn leather satchel sagged" | | 6 | "Quinn swept the beam down." | | 7 | "The platform curved into a" | | 8 | "The air carried a fungal" | | 9 | "Camden's abandoned gut." | | 10 | "The dead man wore a" | | 11 | "Oxford brogues caught the torchlight," | | 12 | "His complexion held the waxy" | | 13 | "Quinn's sharp jaw tightened." | | 14 | "She had catalogued overdoses in" | | 15 | "She had bagged jumpers and" | | 16 | "This fit none of those" | | 17 | "Eva adjusted her glasses." | | 18 | "Her left hand strayed to" | | 19 | "Quinn circled the body." |
| | ratio | 0.81 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 105 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 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 | 5 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn muttered (mutter)" |
| | dialogueSentences | 37 | | tagDensity | 0.135 | | leniency | 0.27 | | rawRatio | 0.2 | | effectiveRatio | 0.054 | |