| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 60 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1172 | | 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) | |
| 70.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1172 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "glint" | | 1 | "fluttered" | | 2 | "etched" | | 3 | "quivered" | | 4 | "traced" | | 5 | "trembled" | | 6 | "perfect" |
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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 | 109 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 156 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1172 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 758 | | uniqueNames | 11 | | maxNameDensity | 3.17 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 24 | | Tube | 1 | | Camden | 1 | | Metropolitan | 1 | | Police | 1 | | Kowalski | 1 | | Market | 3 | | Veil | 1 | | Round | 1 | | Eva | 14 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Market" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.853 | | wordCount | 1172 | | matches | | 0 | "not at the body but at the ceiling stain" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 156 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 72 | | mean | 16.28 | | std | 12.81 | | cv | 0.787 | | sampleLengths | | 0 | 5 | | 1 | 64 | | 2 | 33 | | 3 | 5 | | 4 | 9 | | 5 | 11 | | 6 | 25 | | 7 | 57 | | 8 | 10 | | 9 | 3 | | 10 | 26 | | 11 | 15 | | 12 | 24 | | 13 | 2 | | 14 | 2 | | 15 | 26 | | 16 | 16 | | 17 | 19 | | 18 | 25 | | 19 | 1 | | 20 | 16 | | 21 | 4 | | 22 | 15 | | 23 | 33 | | 24 | 18 | | 25 | 4 | | 26 | 15 | | 27 | 44 | | 28 | 3 | | 29 | 2 | | 30 | 19 | | 31 | 10 | | 32 | 26 | | 33 | 10 | | 34 | 33 | | 35 | 5 | | 36 | 13 | | 37 | 9 | | 38 | 24 | | 39 | 14 | | 40 | 6 | | 41 | 18 | | 42 | 6 | | 43 | 29 | | 44 | 1 | | 45 | 3 | | 46 | 8 | | 47 | 17 | | 48 | 16 | | 49 | 5 |
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| 98.83% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 109 | | matches | | 0 | "was supposed" | | 1 | "been placed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 129 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 156 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 759 | | adjectiveStacks | 1 | | stackExamples | | 0 | "yellow against grey brick." |
| | adverbCount | 17 | | adverbRatio | 0.022397891963109356 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003952569169960474 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 156 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 156 | | mean | 7.51 | | std | 4.77 | | cv | 0.635 | | sampleLengths | | 0 | 5 | | 1 | 5 | | 2 | 1 | | 3 | 16 | | 4 | 11 | | 5 | 20 | | 6 | 11 | | 7 | 19 | | 8 | 7 | | 9 | 7 | | 10 | 5 | | 11 | 5 | | 12 | 4 | | 13 | 11 | | 14 | 2 | | 15 | 3 | | 16 | 11 | | 17 | 4 | | 18 | 5 | | 19 | 13 | | 20 | 8 | | 21 | 10 | | 22 | 4 | | 23 | 11 | | 24 | 6 | | 25 | 5 | | 26 | 2 | | 27 | 8 | | 28 | 3 | | 29 | 8 | | 30 | 5 | | 31 | 13 | | 32 | 8 | | 33 | 7 | | 34 | 8 | | 35 | 8 | | 36 | 8 | | 37 | 2 | | 38 | 2 | | 39 | 16 | | 40 | 10 | | 41 | 9 | | 42 | 7 | | 43 | 19 | | 44 | 5 | | 45 | 11 | | 46 | 9 | | 47 | 1 | | 48 | 7 | | 49 | 9 |
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| 37.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.28205128205128205 | | totalSentences | 156 | | uniqueOpeners | 44 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 99 | | matches | | 0 | "She stopped at the bottom" | | 1 | "She tucked hair behind her" | | 2 | "His throat was open." | | 3 | "It sat as if it" | | 4 | "She knelt and ran a" | | 5 | "It quivered and pointed at" | | 6 | "She looked at the wound." | | 7 | "She pressed two fingers to" | | 8 | "She lifted the bench with" | | 9 | "She traced a line with" | | 10 | "She looked up." | | 11 | "She reached up and touched" | | 12 | "She flipped pages." | | 13 | "She crouched again beside the" | | 14 | "His eyelids were half open." | | 15 | "She pressed a gloved finger" | | 16 | "She looked at the body," | | 17 | "She turned the compass over" |
| | ratio | 0.182 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 94 | | totalSentences | 99 | | matches | | 0 | "The stairs dropped into black." | | 1 | "Detective Harlow Quinn counted them." | | 2 | "The worn leather watch on" | | 3 | "The air down here smelled" | | 4 | "She stopped at the bottom" | | 5 | "A Metropolitan Police tape fluttered" | | 6 | "Eva Kowalski stood inside the" | | 7 | "She tucked hair behind her" | | 8 | "Quinn stepped past the tape." | | 9 | "The Veil Market." | | 10 | "The abandoned station was supposed" | | 11 | "The schedule moved it." | | 12 | "Tonight the Market had stayed." | | 13 | "The platform stretched ahead, lit" | | 14 | "A body lay near the" | | 15 | "A man in a coat" | | 16 | "His throat was open." | | 17 | "Blood had pooled on the" | | 18 | "The sharp jaw she kept" | | 19 | "Eva did not move closer" |
| | ratio | 0.949 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 60 | | tagDensity | 0.017 | | leniency | 0.033 | | rawRatio | 0 | | effectiveRatio | 0 | |