| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 96.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1276 | | 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) | |
| 64.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1276 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "weight" | | 1 | "measured" | | 2 | "footfall" | | 3 | "etched" | | 4 | "standard" | | 5 | "glint" | | 6 | "aligned" | | 7 | "traced" |
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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 | 56 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 56 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 69 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1276 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 731 | | uniqueNames | 7 | | maxNameDensity | 1.23 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 9 | | Tube | 1 | | Camden | 1 | | Carter | 4 | | Kowalski | 1 | | Eva | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Carter" | | 3 | "Kowalski" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 0.884 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | 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 | 1276 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 83.89% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 41.16 | | std | 18.26 | | cv | 0.444 | | sampleLengths | | 0 | 77 | | 1 | 54 | | 2 | 43 | | 3 | 54 | | 4 | 50 | | 5 | 54 | | 6 | 8 | | 7 | 48 | | 8 | 66 | | 9 | 30 | | 10 | 44 | | 11 | 56 | | 12 | 52 | | 13 | 46 | | 14 | 7 | | 15 | 52 | | 16 | 56 | | 17 | 44 | | 18 | 32 | | 19 | 29 | | 20 | 24 | | 21 | 39 | | 22 | 73 | | 23 | 10 | | 24 | 30 | | 25 | 39 | | 26 | 56 | | 27 | 7 | | 28 | 31 | | 29 | 18 | | 30 | 47 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 56 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 110 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 69 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 733 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.013642564802182811 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0068212824010914054 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 69 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 69 | | mean | 18.49 | | std | 12.45 | | cv | 0.673 | | sampleLengths | | 0 | 13 | | 1 | 11 | | 2 | 19 | | 3 | 16 | | 4 | 18 | | 5 | 12 | | 6 | 18 | | 7 | 11 | | 8 | 13 | | 9 | 43 | | 10 | 5 | | 11 | 16 | | 12 | 13 | | 13 | 20 | | 14 | 50 | | 15 | 12 | | 16 | 18 | | 17 | 9 | | 18 | 15 | | 19 | 8 | | 20 | 48 | | 21 | 18 | | 22 | 18 | | 23 | 15 | | 24 | 15 | | 25 | 30 | | 26 | 10 | | 27 | 8 | | 28 | 18 | | 29 | 8 | | 30 | 16 | | 31 | 10 | | 32 | 13 | | 33 | 17 | | 34 | 8 | | 35 | 7 | | 36 | 19 | | 37 | 18 | | 38 | 46 | | 39 | 7 | | 40 | 52 | | 41 | 15 | | 42 | 14 | | 43 | 10 | | 44 | 17 | | 45 | 44 | | 46 | 16 | | 47 | 16 | | 48 | 29 | | 49 | 12 |
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| 44.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.2753623188405797 | | totalSentences | 69 | | uniqueOpeners | 19 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 62.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 56 | | matches | | 0 | "She checked the worn leather" | | 1 | "Her cropped salt-and-pepper hair stayed" | | 2 | "She held her spine rigid" | | 3 | "She emerged onto the platform" | | 4 | "He flipped a page in" | | 5 | "She stopped at the head" | | 6 | "She bent slightly to inspect" | | 7 | "She continued her circle until" | | 8 | "She used the toe of" | | 9 | "She straightened and walked the" | | 10 | "Her movements followed a straight" | | 11 | "She reached down and pulled" | | 12 | "It swung around twice then" | | 13 | "She carried it back to" | | 14 | "Her curly red hair caught" | | 15 | "She tucked a loose curl" | | 16 | "She opened the top flap" | | 17 | "She tucked another strand of" | | 18 | "She slipped her gloved fingers" | | 19 | "She opened it to reveal" |
| | ratio | 0.393 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 56 | | matches | | 0 | "Detective Harlow Quinn descended the" | | 1 | "The metal treads creaked under" | | 2 | "She checked the worn leather" | | 3 | "Her cropped salt-and-pepper hair stayed" | | 4 | "She held her spine rigid" | | 5 | "She emerged onto the platform" | | 6 | "The victim rested with his" | | 7 | "DS Carter stood at the" | | 8 | "He flipped a page in" | | 9 | "Quinn circled the body once." | | 10 | "She stopped at the head" | | 11 | "The hands showed no dirt" | | 12 | "She bent slightly to inspect" | | 13 | "She continued her circle until" | | 14 | "Lines etched deep into the" | | 15 | "Each ring intersected the next" | | 16 | "The outer edge of the" | | 17 | "DS Carter closed the notebook" | | 18 | "Quinn returned to the body" | | 19 | "She used the toe of" |
| | ratio | 0.929 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 2 | | matches | | 0 | "Her cropped salt-and-pepper hair stayed in place despite the draft that blew from the platform below." | | 1 | "The surrounding skin held a pearly layer that reflected her light with an oily sheen." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |