| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "Claire asked softly [softly]" |
| | dialogueSentences | 27 | | tagDensity | 0.481 | | leniency | 0.963 | | rawRatio | 0.077 | | effectiveRatio | 0.074 | |
| 72.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1108 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "sharply" | | 2 | "very" | | 3 | "truly" | | 4 | "softly" | | 5 | "really" |
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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) | |
| 23.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1108 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "electric" | | 1 | "traced" | | 2 | "measured" | | 3 | "rhythmic" | | 4 | "sanctuary" | | 5 | "echoing" | | 6 | "scanning" | | 7 | "flicker" | | 8 | "shattered" | | 9 | "silence" | | 10 | "weight" | | 11 | "porcelain" | | 12 | "reminder" | | 13 | "tension" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "the air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 51 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 51 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 65 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1103 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 817 | | uniqueNames | 11 | | maxNameDensity | 1.84 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 2 | | Soho | 2 | | November | 1 | | Rory | 15 | | Cardiff | 2 | | Claire | 15 | | Evan | 1 | | Chanel | 1 | | Silas | 5 | | London | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Claire" | | 4 | "Evan" | | 5 | "Chanel" | | 6 | "Silas" |
| | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "London" |
| | globalScore | 0.582 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 3 | | matches | | 0 | "vibration that seemed to sync with the drumming of the Soho rain against the glass" | | 1 | "quite pity; it was more like the confusion of someone looking at a map and realizing the landmarks had all shifted" | | 2 | "felt like a ghost in her own skin" |
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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 | 1103 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 65 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 36.77 | | std | 23.46 | | cv | 0.638 | | sampleLengths | | 0 | 97 | | 1 | 66 | | 2 | 57 | | 3 | 12 | | 4 | 1 | | 5 | 56 | | 6 | 3 | | 7 | 68 | | 8 | 17 | | 9 | 29 | | 10 | 40 | | 11 | 47 | | 12 | 42 | | 13 | 45 | | 14 | 54 | | 15 | 51 | | 16 | 28 | | 17 | 8 | | 18 | 68 | | 19 | 50 | | 20 | 20 | | 21 | 29 | | 22 | 9 | | 23 | 61 | | 24 | 9 | | 25 | 28 | | 26 | 30 | | 27 | 7 | | 28 | 19 | | 29 | 52 |
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| 98.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 51 | | matches | | |
| 94.18% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 126 | | matches | | 0 | "was polishing" | | 1 | "was spiraling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 3 | | flaggedSentences | 7 | | totalSentences | 65 | | ratio | 0.108 | | matches | | 0 | "He didn't need to look at her to know she was spiraling into her thoughts; he had a spymaster’s instinct for the shifts in a room’s pressure." | | 1 | "It was a voice that belonged to a version of Rory that had died three years ago—the version that studied tort law until her eyes bled and wore pearls to please a father who saw her only as a future barrister." | | 2 | "She stopped a few feet away, her eyes scanning Rory—the oversized jacket, the tired slump of her shoulders, the lack of a wedding ring or a briefcase." | | 3 | "It wasn't quite pity; it was more like the confusion of someone looking at a map and realizing the landmarks had all shifted." | | 4 | "She thought of Evan—the shouting, the shattered glass, the way he had systematically dismantled her confidence until she felt like a ghost in her own skin." | | 5 | "Rory looked at her old friend—the girl she had shared midnight coffee and panicked study sessions with—and realized she didn't recognize her." | | 6 | "She realized that she and Claire were both scarred; Claire’s marks were just internal, hidden beneath a camel-hair coat and a prestigious title." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 831 | | adjectiveStacks | 1 | | stackExamples | | 0 | "dim, map-lined sanctuary" |
| | adverbCount | 24 | | adverbRatio | 0.02888086642599278 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.010830324909747292 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 65 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 65 | | mean | 16.97 | | std | 10.81 | | cv | 0.637 | | sampleLengths | | 0 | 28 | | 1 | 22 | | 2 | 24 | | 3 | 23 | | 4 | 18 | | 5 | 21 | | 6 | 27 | | 7 | 26 | | 8 | 31 | | 9 | 2 | | 10 | 10 | | 11 | 1 | | 12 | 15 | | 13 | 41 | | 14 | 3 | | 15 | 10 | | 16 | 27 | | 17 | 8 | | 18 | 23 | | 19 | 11 | | 20 | 6 | | 21 | 8 | | 22 | 9 | | 23 | 12 | | 24 | 8 | | 25 | 32 | | 26 | 9 | | 27 | 26 | | 28 | 12 | | 29 | 15 | | 30 | 27 | | 31 | 19 | | 32 | 26 | | 33 | 22 | | 34 | 12 | | 35 | 20 | | 36 | 15 | | 37 | 36 | | 38 | 10 | | 39 | 18 | | 40 | 8 | | 41 | 9 | | 42 | 15 | | 43 | 44 | | 44 | 27 | | 45 | 23 | | 46 | 9 | | 47 | 11 | | 48 | 23 | | 49 | 6 |
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| 40.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3230769230769231 | | totalSentences | 65 | | uniqueOpeners | 21 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 46 | | matches | (empty) | | ratio | 0 | |
| 72.17% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 46 | | matches | | 0 | "She traced the crescent-shaped scar" | | 1 | "He was polishing a highball" | | 2 | "He didn't need to look" | | 3 | "She was draped in a" | | 4 | "It was a voice that" | | 5 | "She stopped a few feet" | | 6 | "It wasn't quite pity; it" | | 7 | "She set her drink down" | | 8 | "She thought of Evan—the shouting," | | 9 | "She was a series of" | | 10 | "She leaned in, the scent" | | 11 | "She realized that she and" | | 12 | "He stepped forward, placing a" | | 13 | "she replied, blinking" | | 14 | "They weren't the girls from" | | 15 | "It was a distance of" | | 16 | "They sat in silence for" |
| | ratio | 0.37 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 46 | | matches | | 0 | "The green neon sign of" | | 1 | "Aurora sat at the far" | | 2 | "She traced the crescent-shaped scar" | | 3 | "Silas moved behind the bar" | | 4 | "He was polishing a highball" | | 5 | "He didn't need to look" | | 6 | "The door groaned open, admitting" | | 7 | "She was draped in a" | | 8 | "The glass in her hand" | | 9 | "The voice was a ghost," | | 10 | "It was a voice that" | | 11 | "Claire stepped forward, her heels" | | 12 | "She stopped a few feet" | | 13 | "A flicker of something passed" | | 14 | "It wasn't quite pity; it" | | 15 | "Claire said, her voice cautious" | | 16 | "Rory felt a sudden, hot" | | 17 | "She set her drink down" | | 18 | "Claire smiled, but it didn't" | | 19 | "Rory repeated, the words tasting" |
| | ratio | 0.957 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 46 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 7 | | matches | | 0 | "The green neon sign of The Raven’s Nest hummed with a low, electric vibration that seemed to sync with the drumming of the Soho rain against the glass." | | 1 | "She traced the crescent-shaped scar on her left wrist with her thumb, a subconscious habit that surfaced whenever the city felt too loud." | | 2 | "The door groaned open, admitting a gust of wet November air and a woman who looked entirely misplaced in the dim, map-lined sanctuary of the Nest." | | 3 | "She was draped in a camel-hair coat that cost more than Rory’s annual rent, her blonde hair swept up into a professional knot that didn’t dare a single strand o…" | | 4 | "Rory looked at her wrist again, the crescent scar a permanent reminder of a childhood accident, a mark of something that had healed but never truly vanished." | | 5 | "Claire reached out as if to touch Rory’s arm, then hesitated and pulled back, realizing the distance between them was no longer just geographic." | | 6 | "They sat in silence for a long time, watching the green neon light flicker against the rain-streaked window, two versions of the same life reflecting off one an…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 5 | | matches | | 0 | "Claire said, her voice cautious" | | 1 | "Claire said, the admission sliding out with a practiced, professional ease" | | 2 | "Rory said, her voice regaining its cool, steady edge" | | 3 | "Claire admitted, her voice dropping" | | 4 | "Silas said, his hazel eyes twinkling with a quiet, knowing authority" |
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| 1.85% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 4 | | fancyTags | | 0 | "Rory whispered (whisper)" | | 1 | "Rory repeated (repeat)" | | 2 | "Rory murmured (murmur)" | | 3 | "Claire admitted (admit)" |
| | dialogueSentences | 27 | | tagDensity | 0.481 | | leniency | 0.963 | | rawRatio | 0.308 | | effectiveRatio | 0.296 | |