| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva's voice cracked just [just]" |
| | dialogueSentences | 84 | | tagDensity | 0.226 | | leniency | 0.452 | | rawRatio | 0.053 | | effectiveRatio | 0.024 | |
| 82.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2033 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 1 |
| | 4 | |
| | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "slowly" | | 3 | "barely above a whisper" | | 4 | "carefully" |
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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) | |
| 58.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2033 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "scanning" | | 1 | "measured" | | 2 | "traced" | | 3 | "silence" | | 4 | "tension" | | 5 | "tracing" | | 6 | "weight" | | 7 | "resolved" | | 8 | "glistening" | | 9 | "perfect" | | 10 | "flicker" | | 11 | "whisper" | | 12 | "constructed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 87 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2020 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 67 | | wordCount | 1167 | | uniqueNames | 22 | | maxNameDensity | 1.89 | | worstName | "Eva" | | maxWindowNameDensity | 5 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 1 | | Wednesday | 1 | | Blackwood | 1 | | October | 1 | | Aurora | 20 | | Cardiff | 1 | | Evan | 1 | | Eva | 22 | | Larsson | 2 | | Silas | 4 | | Senior | 1 | | Vice | 1 | | President | 1 | | Meridian | 1 | | Capital | 1 | | Partners | 1 | | London | 2 | | Canary | 1 | | Wharf | 1 | | Chinese | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Blackwood" | | 4 | "Aurora" | | 5 | "Evan" | | 6 | "Eva" | | 7 | "Larsson" | | 8 | "Silas" |
| | places | | 0 | "Cardiff" | | 1 | "London" | | 2 | "Canary" |
| | globalScore | 0.557 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 1 | | matches | | 0 | "their argument apparently resolved or at leas" |
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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 | 2020 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 149 | | matches | | 0 | "learned that carelessness" | | 1 | "out that business" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 89 | | mean | 22.7 | | std | 19.5 | | cv | 0.859 | | sampleLengths | | 0 | 89 | | 1 | 40 | | 2 | 40 | | 3 | 8 | | 4 | 15 | | 5 | 10 | | 6 | 60 | | 7 | 64 | | 8 | 1 | | 9 | 60 | | 10 | 1 | | 11 | 52 | | 12 | 3 | | 13 | 5 | | 14 | 22 | | 15 | 28 | | 16 | 18 | | 17 | 2 | | 18 | 8 | | 19 | 26 | | 20 | 5 | | 21 | 10 | | 22 | 13 | | 23 | 15 | | 24 | 40 | | 25 | 8 | | 26 | 11 | | 27 | 46 | | 28 | 3 | | 29 | 2 | | 30 | 17 | | 31 | 8 | | 32 | 19 | | 33 | 41 | | 34 | 25 | | 35 | 65 | | 36 | 30 | | 37 | 76 | | 38 | 5 | | 39 | 28 | | 40 | 31 | | 41 | 17 | | 42 | 32 | | 43 | 28 | | 44 | 4 | | 45 | 30 | | 46 | 12 | | 47 | 21 | | 48 | 5 | | 49 | 2 |
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| 97.20% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 87 | | matches | | 0 | "being terrified" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 183 | | matches | | 0 | "wasn't listening" | | 1 | "was walking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 149 | | ratio | 0.074 | | matches | | 0 | "The Wednesday crowd was thin—a few regulars hunched over their drinks, a couple arguing in whispered tones near the jukebox, and a man in the corner who'd been nursing the same whiskey for two hours." | | 1 | "The woman was thin—too thin, the kind of thin that spoke of missed meals rather than careful dieting." | | 2 | "She moved differently—controlled, measured, like someone who had learned that carelessness carried a price." | | 3 | "Those eyes were different too—harder, guarded, like shutters drawn over lit windows." | | 4 | "Aurora studied Eva's face—the new lines around her eyes, the tension in her jaw, the way she sat coiled like something ready to spring." | | 5 | "\"I wasn't there. That's the point. I wasn't there for myself either.\" Eva pulled at the collar of her coat, revealing the edge of a tattoo on her collarbone—something angular and dark that Aurora had never seen before." | | 6 | "Eva laughed—a short, bitter sound." | | 7 | "The rain had stopped outside; she could see the wet pavement glistening through the window, reflecting the green neon of the sign." | | 8 | "Eva's composure cracked, just for a second—a flicker of the girl Aurora had known, the one who cried at sad films and sang off-key at karaoke and once climbed a tree to rescue a neighbor's cat despite being terrified of heights." | | 9 | "She'd built something here—a life, fragile but real." | | 10 | "Whether she'd call—that was a question for another night." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1180 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.0288135593220339 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.010169491525423728 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 13.56 | | std | 9.75 | | cv | 0.719 | | sampleLengths | | 0 | 23 | | 1 | 31 | | 2 | 35 | | 3 | 17 | | 4 | 23 | | 5 | 23 | | 6 | 17 | | 7 | 8 | | 8 | 13 | | 9 | 2 | | 10 | 10 | | 11 | 19 | | 12 | 8 | | 13 | 33 | | 14 | 18 | | 15 | 15 | | 16 | 17 | | 17 | 14 | | 18 | 1 | | 19 | 5 | | 20 | 5 | | 21 | 33 | | 22 | 17 | | 23 | 1 | | 24 | 15 | | 25 | 14 | | 26 | 23 | | 27 | 3 | | 28 | 5 | | 29 | 18 | | 30 | 4 | | 31 | 21 | | 32 | 7 | | 33 | 10 | | 34 | 8 | | 35 | 2 | | 36 | 8 | | 37 | 14 | | 38 | 12 | | 39 | 5 | | 40 | 10 | | 41 | 8 | | 42 | 5 | | 43 | 15 | | 44 | 19 | | 45 | 6 | | 46 | 2 | | 47 | 13 | | 48 | 8 | | 49 | 11 |
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| 58.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3959731543624161 | | totalSentences | 149 | | uniqueOpeners | 59 | |
| 82.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 81 | | matches | | 0 | "Then she was gone, swallowed" | | 1 | "Somewhere out there, Eva was" |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 81 | | matches | | 0 | "She slid the tray onto" | | 1 | "His hazel eyes held that" | | 2 | "He placed a glass of" | | 3 | "She stood in the entrance," | | 4 | "Her blonde hair was cut" | | 5 | "She wore expensive clothes, the" | | 6 | "She moved differently—controlled, measured, like" | | 7 | "He always knew when to" | | 8 | "Her nails were cut short," | | 9 | "She took a long breath," | | 10 | "She met Aurora's eyes" | | 11 | "She tucked her hands into" | | 12 | "She finished her whiskey in" | | 13 | "Her fingers found the business" | | 14 | "She gathered the empty glasses" | | 15 | "She'd built something here—a life," | | 16 | "It wasn't the future they'd" |
| | ratio | 0.21 | |
| 9.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 81 | | matches | | 0 | "The green neon glow of" | | 1 | "Aurora Carter balanced a tray" | | 2 | "The Wednesday crowd was thin—a" | | 3 | "She slid the tray onto" | | 4 | "The quiet shift meant she" | | 5 | "Silas Blackwood stood behind the" | | 6 | "His hazel eyes held that" | | 7 | "He placed a glass of" | | 8 | "The door swung open, letting" | | 9 | "Water dripped from the hem" | | 10 | "She stood in the entrance," | | 11 | "The woman was thin—too thin," | | 12 | "Her blonde hair was cut" | | 13 | "A scar ran from her" | | 14 | "She wore expensive clothes, the" | | 15 | "The voice was the same." | | 16 | "That was the worst part." | | 17 | "The same voice that had" | | 18 | "The same voice that had" | | 19 | "Eva Larsson walked toward the" |
| | ratio | 0.901 | |
| 61.73% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 81 | | matches | | 0 | "Whether she'd call—that was a" |
| | ratio | 0.012 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 6 | | matches | | 0 | "Aurora Carter balanced a tray of empty pint glasses against her hip, weaving between tables with the efficiency of someone who knew every loose floorboard and n…" | | 1 | "The Wednesday crowd was thin—a few regulars hunched over their drinks, a couple arguing in whispered tones near the jukebox, and a man in the corner who'd been …" | | 2 | "The quiet shift meant she could actually sit for five minutes, maybe eat something that wasn't cold chow mein from a delivery container." | | 3 | "The same voice that had answered the phone at three in the morning when Aurora called from Cardiff, sobbing and stammering about Evan, about needing to leave, a…" | | 4 | "She moved differently—controlled, measured, like someone who had learned that carelessness carried a price." | | 5 | "For a moment, she just stood there, looking at this stranger who wore her best friend's face." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 84 | | tagDensity | 0.012 | | leniency | 0.024 | | rawRatio | 0 | | effectiveRatio | 0 | |