| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1003 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 45.16% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1003 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "silk" | | 1 | "echoed" | | 2 | "rhythmic" | | 3 | "scanning" | | 4 | "weight" | | 5 | "silence" | | 6 | "unspoken" | | 7 | "warmth" | | 8 | "flicker" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 46 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 46 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1003 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 39.71% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 544 | | uniqueNames | 4 | | maxNameDensity | 2.21 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.397 | | windowScore | 0.667 | |
| 11.11% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like a ghost filtered through a si" | | 1 | "felt like a countdown" |
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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 | 1003 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 17.29 | | std | 16.08 | | cv | 0.93 | | sampleLengths | | 0 | 29 | | 1 | 4 | | 2 | 75 | | 3 | 1 | | 4 | 31 | | 5 | 4 | | 6 | 2 | | 7 | 8 | | 8 | 39 | | 9 | 18 | | 10 | 7 | | 11 | 11 | | 12 | 25 | | 13 | 11 | | 14 | 8 | | 15 | 46 | | 16 | 9 | | 17 | 6 | | 18 | 50 | | 19 | 3 | | 20 | 2 | | 21 | 14 | | 22 | 2 | | 23 | 7 | | 24 | 14 | | 25 | 24 | | 26 | 52 | | 27 | 7 | | 28 | 22 | | 29 | 26 | | 30 | 2 | | 31 | 8 | | 32 | 20 | | 33 | 11 | | 34 | 29 | | 35 | 11 | | 36 | 17 | | 37 | 11 | | 38 | 39 | | 39 | 3 | | 40 | 5 | | 41 | 47 | | 42 | 7 | | 43 | 18 | | 44 | 1 | | 45 | 20 | | 46 | 3 | | 47 | 26 | | 48 | 26 | | 49 | 7 |
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| 97.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 46 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 90 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 88 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 549 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.025500910746812388 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.00546448087431694 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 11.4 | | std | 7.6 | | cv | 0.666 | | sampleLengths | | 0 | 15 | | 1 | 14 | | 2 | 4 | | 3 | 2 | | 4 | 11 | | 5 | 10 | | 6 | 16 | | 7 | 16 | | 8 | 20 | | 9 | 1 | | 10 | 4 | | 11 | 12 | | 12 | 15 | | 13 | 4 | | 14 | 2 | | 15 | 8 | | 16 | 15 | | 17 | 3 | | 18 | 21 | | 19 | 18 | | 20 | 7 | | 21 | 11 | | 22 | 4 | | 23 | 21 | | 24 | 11 | | 25 | 8 | | 26 | 16 | | 27 | 14 | | 28 | 16 | | 29 | 9 | | 30 | 6 | | 31 | 5 | | 32 | 12 | | 33 | 5 | | 34 | 12 | | 35 | 16 | | 36 | 3 | | 37 | 2 | | 38 | 14 | | 39 | 2 | | 40 | 7 | | 41 | 10 | | 42 | 4 | | 43 | 24 | | 44 | 11 | | 45 | 41 | | 46 | 7 | | 47 | 22 | | 48 | 10 | | 49 | 16 |
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| 42.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.2840909090909091 | | totalSentences | 88 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 44 | | matches | | 0 | "She turned slowly, the cloth" | | 1 | "She wore a tailored, expensive," | | 2 | "Her hair, once a wild" | | 3 | "She stepped forward, her sharp," | | 4 | "She didn't sit." | | 5 | "She stood with a posture" | | 6 | "She leaned back against the" | | 7 | "He stepped out, his slight" | | 8 | "She rubbed it instinctively." | | 9 | "She looked at the old" | | 10 | "She didn't open it, but" | | 11 | "She stared at Rory, and" | | 12 | "He stopped when his gaze" |
| | ratio | 0.295 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 44 | | matches | | 0 | "Rory scrubbed a smudge of" | | 1 | "The fabric clung to the" | | 2 | "The voice sounded like a" | | 3 | "She turned slowly, the cloth" | | 4 | "A woman stood by the" | | 5 | "She wore a tailored, expensive," | | 6 | "Her hair, once a wild" | | 7 | "The woman didn't smile." | | 8 | "She stepped forward, her sharp," | | 9 | "The sound echoed in the" | | 10 | "Eva reached the bar and" | | 11 | "She didn't sit." | | 12 | "She stood with a posture" | | 13 | "Rory dropped the cloth." | | 14 | "She leaned back against the" | | 15 | "Eva signaled Silas, who had" | | 16 | "He stepped out, his slight" | | 17 | "The silver signet ring on" | | 18 | "Silas nodded and moved away." | | 19 | "The silence that followed felt" |
| | ratio | 0.977 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 4 | | matches | | 0 | "She wore a tailored, expensive, black Italian wool coat that cost more than Rory's annual rent." | | 1 | "The sound echoed in the quiet bar, a rhythmic tick-tock that felt like a countdown." | | 2 | "The nails were manicured, a pale, nude shade that looked almost artificial." | | 3 | "A flicker of raw, jagged grief crossed her face, a glimpse of the girl who had once shared a cramped dormitory and a single pair of boots." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva stood up, the stiletto heels clicking again, sharper this time" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.022 | | leniency | 0.044 | | rawRatio | 0 | | effectiveRatio | 0 | |