| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.108 | | leniency | 0.216 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 77.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1105 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "really" | | 3 | "suddenly" | | 4 | "lightly" |
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| 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) | |
| 36.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1105 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "weight" | | 2 | "chaotic" | | 3 | "sanctuary" | | 4 | "depths" | | 5 | "sentinel" | | 6 | "whisper" | | 7 | "silence" | | 8 | "tracing" | | 9 | "calculating" | | 10 | "trembled" | | 11 | "scanning" |
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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 | 57 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 57 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1105 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 702 | | uniqueNames | 9 | | maxNameDensity | 1 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Italian | 1 | | Raven | 1 | | Nest | 1 | | Golden | 1 | | Empress | 1 | | Aurora | 7 | | Evan | 7 | | Silas | 5 | | Soho | 1 |
| | persons | | 0 | "Raven" | | 1 | "Aurora" | | 2 | "Evan" | | 3 | "Silas" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a physical weight, belonged t" | | 1 | "looked like a curated version of the man" | | 2 | "looked like debts coming due" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.905 | | wordCount | 1105 | | matches | | 0 | "not touching, but asserting dominance over the air she breathed" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 20.46 | | std | 16.5 | | cv | 0.806 | | sampleLengths | | 0 | 8 | | 1 | 58 | | 2 | 1 | | 3 | 54 | | 4 | 20 | | 5 | 7 | | 6 | 40 | | 7 | 53 | | 8 | 35 | | 9 | 3 | | 10 | 4 | | 11 | 28 | | 12 | 20 | | 13 | 12 | | 14 | 55 | | 15 | 10 | | 16 | 11 | | 17 | 8 | | 18 | 12 | | 19 | 30 | | 20 | 4 | | 21 | 5 | | 22 | 27 | | 23 | 45 | | 24 | 6 | | 25 | 23 | | 26 | 11 | | 27 | 21 | | 28 | 7 | | 29 | 50 | | 30 | 36 | | 31 | 6 | | 32 | 18 | | 33 | 42 | | 34 | 6 | | 35 | 2 | | 36 | 14 | | 37 | 35 | | 38 | 8 | | 39 | 29 | | 40 | 39 | | 41 | 29 | | 42 | 18 | | 43 | 15 | | 44 | 35 | | 45 | 3 | | 46 | 15 | | 47 | 2 | | 48 | 2 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 118 | | matches | (empty) | |
| 79.37% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 90 | | ratio | 0.022 | | matches | | 0 | "Silas didn't look at Evan; his hazel eyes remained fixed on Aurora, a silent question flickering in their depths." | | 1 | "It was no longer the explosive, crashing wave of their final months; it was a steady, freezing current." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 704 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 26 | | adverbRatio | 0.036931818181818184 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.015625 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 12.28 | | std | 8.39 | | cv | 0.683 | | sampleLengths | | 0 | 8 | | 1 | 13 | | 2 | 21 | | 3 | 6 | | 4 | 18 | | 5 | 1 | | 6 | 3 | | 7 | 12 | | 8 | 16 | | 9 | 16 | | 10 | 7 | | 11 | 20 | | 12 | 7 | | 13 | 8 | | 14 | 3 | | 15 | 29 | | 16 | 25 | | 17 | 28 | | 18 | 18 | | 19 | 17 | | 20 | 3 | | 21 | 4 | | 22 | 15 | | 23 | 13 | | 24 | 20 | | 25 | 12 | | 26 | 4 | | 27 | 12 | | 28 | 20 | | 29 | 19 | | 30 | 10 | | 31 | 3 | | 32 | 8 | | 33 | 8 | | 34 | 6 | | 35 | 6 | | 36 | 30 | | 37 | 4 | | 38 | 5 | | 39 | 27 | | 40 | 8 | | 41 | 9 | | 42 | 18 | | 43 | 6 | | 44 | 4 | | 45 | 6 | | 46 | 23 | | 47 | 11 | | 48 | 6 | | 49 | 15 |
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| 52.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.36666666666666664 | | totalSentences | 90 | | uniqueOpeners | 33 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 16.36% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 55 | | matches | | 0 | "She didn't need to turn" | | 1 | "She turned slowly." | | 2 | "He looked like a curated" | | 3 | "He wore a charcoal grey" | | 4 | "His hair, once a chaotic" | | 5 | "He looked expensive, polished, and" | | 6 | "He didn't ask." | | 7 | "He simply occupied the space," | | 8 | "he noted, glancing at the" | | 9 | "She instinctively pulled her sleeve" | | 10 | "He signalled the bartender." | | 11 | "He leaned in, his voice" | | 12 | "It was no longer the" | | 13 | "He didn't want to scream" | | 14 | "He wanted to dismantle." | | 15 | "He leaned closer, his voice" | | 16 | "He took a slow sip" | | 17 | "He stood up, the movement" | | 18 | "He reached out, his hand" | | 19 | "He turned to leave, his" |
| | ratio | 0.509 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 55 | | matches | | 0 | "Aurora froze, her fingers tightening" | | 1 | "The voice was a jagged" | | 2 | "She didn't need to turn" | | 3 | "The cadence, the specific brand" | | 4 | "She turned slowly." | | 5 | "He looked like a curated" | | 6 | "He wore a charcoal grey" | | 7 | "His hair, once a chaotic" | | 8 | "He looked expensive, polished, and" | | 9 | "Evan smirked, sliding onto the" | | 10 | "He didn't ask." | | 11 | "He simply occupied the space," | | 12 | "The Raven's Nest was a" | | 13 | "The green neon sign outside" | | 14 | "he noted, glancing at the" | | 15 | "Aurora shifted, the small crescent-shaped" | | 16 | "She instinctively pulled her sleeve" | | 17 | "He signalled the bartender." | | 18 | "Silas approached with a slow," | | 19 | "The silver signet ring on" |
| | ratio | 0.945 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 4 | | matches | | 0 | "He wore a charcoal grey tailored Italian suit that hugged shoulders now broader than she remembered." | | 1 | "Silas poured the drink with a clinical precision that bordered on contempt, then retreated toward the end of the bar, though his presence remained a sentinel sh…" | | 2 | "The memory of the final argument, the sound of glass shattering against the skirting board, and the suffocating silence that followed surged up like bile." | | 3 | "He reached out, his hand hovering just inches from her shoulder, not touching, but asserting dominance over the air she breathed." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "He leaned, his voice dropping to a conspiratorial whisper" |
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| 95.95% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "he noted (note)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 37 | | tagDensity | 0.054 | | leniency | 0.108 | | rawRatio | 1 | | effectiveRatio | 0.108 | |