| 85.71% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 4 | | adverbTags | | 0 | "Aurora started then [then]" | | 1 | "Aurora said quietly [quietly]" | | 2 | "Eva said softly [softly]" | | 3 | "Eva said finally [finally]" |
| | dialogueSentences | 70 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.2 | | effectiveRatio | 0.114 | |
| 82.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1391 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "tightly" | | 1 | "really" | | 2 | "softly" | | 3 | "slowly" |
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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) | |
| 60.46% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1391 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "flicker" | | 1 | "pulsed" | | 2 | "fractured" | | 3 | "weight" | | 4 | "silence" | | 5 | "footsteps" | | 6 | "scanned" |
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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 | 104 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 104 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 152 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 15 | | markdownWords | 26 | | totalWords | 1385 | | ratio | 0.019 | | matches | | 0 | "The Raven’s Nest" | | 1 | "‘Round Midnight" | | 2 | "different" | | 3 | "older" | | 4 | "condensed" | | 5 | "I left him" | | 6 | "accident" | | 7 | "the girl who works the north runs" | | 8 | "I" | | 9 | "me" | | 10 | "knew" | | 11 | "scared" | | 12 | "angry" | | 13 | "safe" | | 14 | "somebody" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 27 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 59 | | wordCount | 869 | | uniqueNames | 10 | | maxNameDensity | 2.88 | | worstName | "Eva" | | maxWindowNameDensity | 5 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 1 | | Soho | 2 | | Jameson | 1 | | Eva | 25 | | Didn | 2 | | Aurora | 20 | | Hackney | 1 | | Evan | 1 | | Rory | 2 | | Silas | 4 |
| | persons | | 0 | "Raven" | | 1 | "Jameson" | | 2 | "Eva" | | 3 | "Aurora" | | 4 | "Evan" | | 5 | "Rory" | | 6 | "Silas" |
| | places | | | globalScore | 0.062 | | windowScore | 0 | |
| 98.98% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared beside her booth, wiping a glass with a cloth" |
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| 55.60% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.444 | | wordCount | 1385 | | matches | | 0 | "Not at the leather jacket, not at the still-young face, but at the stillness beneath it" | | 1 | "not at the still-young face, but at the stillness beneath it" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 152 | | matches | | 0 | "burned that life" | | 1 | "screaming that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 83 | | mean | 16.69 | | std | 17.58 | | cv | 1.054 | | sampleLengths | | 0 | 83 | | 1 | 69 | | 2 | 15 | | 3 | 3 | | 4 | 59 | | 5 | 4 | | 6 | 8 | | 7 | 41 | | 8 | 38 | | 9 | 17 | | 10 | 8 | | 11 | 5 | | 12 | 16 | | 13 | 8 | | 14 | 15 | | 15 | 3 | | 16 | 15 | | 17 | 12 | | 18 | 6 | | 19 | 60 | | 20 | 6 | | 21 | 3 | | 22 | 8 | | 23 | 23 | | 24 | 12 | | 25 | 3 | | 26 | 54 | | 27 | 21 | | 28 | 12 | | 29 | 5 | | 30 | 4 | | 31 | 18 | | 32 | 11 | | 33 | 41 | | 34 | 29 | | 35 | 2 | | 36 | 40 | | 37 | 19 | | 38 | 23 | | 39 | 7 | | 40 | 4 | | 41 | 20 | | 42 | 13 | | 43 | 1 | | 44 | 27 | | 45 | 2 | | 46 | 6 | | 47 | 3 | | 48 | 18 | | 49 | 5 |
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| 98.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 104 | | matches | | 0 | "been pressed" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 169 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 152 | | ratio | 0.059 | | matches | | 0 | "Rain had slicked the Soho streets into mirrors, reflecting fractured glimpses of life inside — amber lamplight, shifting silhouettes, the occasional flare of a cigarette from someone who hadn’t gotten the memo about indoor bans." | | 1 | "Inside, the air was thick with old wood, bourbon, and the low hum of jazz piano—*‘Round Midnight* played in a lazy, off-temperament loop from a record player behind the bar." | | 2 | "“Didn’t think I’d find you in a place like this,” said a voice—low, amused, uncertain." | | 3 | "Like she’d been pressed into a smaller, denser form—everything still recognisable, but hardened, compressed under some invisible weight." | | 4 | "The past yawned open — years, choices, a narrow flat in Hackney where they’d shared takeaways and secrets, where Aurora had shown up one night with bruised knuckles and a split lip, whispering *I left him*, and Eva had packed her bags without a single question." | | 5 | "Her scar pulsed faintly—old nerves, old memory." | | 6 | "Eva studied her—really studied her—the way a translator might examine a faded manuscript, trying to reconstruct meaning from gaps." | | 7 | "Eva studied her—really looked this time." | | 8 | "It was full of everything they hadn’t said—years of unsent letters, birthdays missed, grief folded into pockets and worn like talismans." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 880 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.035227272727272725 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.011363636363636364 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 152 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 152 | | mean | 9.11 | | std | 7.5 | | cv | 0.824 | | sampleLengths | | 0 | 18 | | 1 | 35 | | 2 | 30 | | 3 | 24 | | 4 | 15 | | 5 | 16 | | 6 | 8 | | 7 | 6 | | 8 | 15 | | 9 | 3 | | 10 | 16 | | 11 | 18 | | 12 | 25 | | 13 | 4 | | 14 | 8 | | 15 | 12 | | 16 | 16 | | 17 | 4 | | 18 | 9 | | 19 | 6 | | 20 | 4 | | 21 | 7 | | 22 | 3 | | 23 | 18 | | 24 | 10 | | 25 | 7 | | 26 | 5 | | 27 | 3 | | 28 | 5 | | 29 | 7 | | 30 | 5 | | 31 | 4 | | 32 | 8 | | 33 | 4 | | 34 | 11 | | 35 | 3 | | 36 | 15 | | 37 | 5 | | 38 | 7 | | 39 | 6 | | 40 | 2 | | 41 | 46 | | 42 | 12 | | 43 | 6 | | 44 | 3 | | 45 | 8 | | 46 | 7 | | 47 | 16 | | 48 | 6 | | 49 | 6 |
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| 40.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.3092105263157895 | | totalSentences | 152 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 89 | | matches | | 0 | "Just folded her hands on" | | 1 | "Then, heavy footsteps." | | 2 | "Just poured himself two fingers" |
| | ratio | 0.034 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 89 | | matches | | 0 | "She swirled a glass of" | | 1 | "Her left wrist turned, the" | | 2 | "She hadn’t been to this" | | 3 | "She looked up." | | 4 | "Her once-wild curls were now" | | 5 | "She wore a tailored navy" | | 6 | "She didn’t take off her" | | 7 | "They had burned that life" | | 8 | "She looked past Eva, past" | | 9 | "She knew what hid behind" | | 10 | "Her scar pulsed faintly—old nerves," | | 11 | "She looked up, eyes bright" | | 12 | "He moved slow, favouring his" | | 13 | "His eyes found Aurora." | | 14 | "He didn’t smile." | | 15 | "It was full of everything" | | 16 | "It was in the spaces" | | 17 | "she said, not looking back" | | 18 | "She said nothing." |
| | ratio | 0.213 | |
| 61.12% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 89 | | matches | | 0 | "The green neon flicker of" | | 1 | "Rain had slicked the Soho" | | 2 | "Aurora sat near the back," | | 3 | "She swirled a glass of" | | 4 | "Her left wrist turned, the" | | 5 | "She hadn’t been to this" | | 6 | "She looked up." | | 7 | "Eva stood in the dim" | | 8 | "Her once-wild curls were now" | | 9 | "She wore a tailored navy" | | 10 | "Aurora’s glass paused mid-swirl." | | 11 | "The name came out like" | | 12 | "Eva slid into the booth" | | 13 | "She didn’t take off her" | | 14 | "Aurora started, then stopped" | | 15 | "The word *different* hovered." | | 16 | "Eva had *condensed*." | | 17 | "Eva said, voice too smooth" | | 18 | "Aurora’s jaw tightened almost imperceptibly." | | 19 | "The record needle hissed." |
| | ratio | 0.798 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "Rain had slicked the Soho streets into mirrors, reflecting fractured glimpses of life inside — amber lamplight, shifting silhouettes, the occasional flare of a …" | | 1 | "Silas had shown her last winter, after a man in a trench coat had asked too many questions about *the girl who works the north runs*." |
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| 50.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 3 | | matches | | 0 | "Eva said, voice too smooth" | | 1 | "She looked up, eyes bright blue and clear" | | 2 | "she said, not looking back" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 1 | | fancyTags | | 0 | "Aurora corrected (correct)" |
| | dialogueSentences | 70 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0.067 | | effectiveRatio | 0.029 | |