| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said quietly [quietly]" |
| | dialogueSentences | 62 | | tagDensity | 0.242 | | leniency | 0.484 | | rawRatio | 0.067 | | effectiveRatio | 0.032 | |
| 90.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1552 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 77.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1552 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "flickered" | | 1 | "silence" | | 2 | "traced" | | 3 | "familiar" | | 4 | "standard" | | 5 | "tracing" | | 6 | "tension" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 60 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 7 | | totalWords | 1563 | | ratio | 0.004 | | matches | | 0 | "I taught you to run from me." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.39% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 824 | | uniqueNames | 8 | | maxNameDensity | 1.09 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 4 | | Ptolemy | 3 | | Moreau | 1 | | Lucien | 7 | | Soho | 1 | | Rory | 9 | | Golden | 1 | | Empress | 1 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Moreau" | | 3 | "Lucien" | | 4 | "Rory" |
| | places | | | globalScore | 0.954 | | windowScore | 1 | |
| 50.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 2 | | matches | | 0 | "as if preparing to knock again" | | 1 | "not quite a smile" |
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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 | 1563 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 23.68 | | std | 21.43 | | cv | 0.905 | | sampleLengths | | 0 | 14 | | 1 | 38 | | 2 | 32 | | 3 | 7 | | 4 | 59 | | 5 | 10 | | 6 | 19 | | 7 | 10 | | 8 | 2 | | 9 | 3 | | 10 | 9 | | 11 | 54 | | 12 | 19 | | 13 | 3 | | 14 | 45 | | 15 | 35 | | 16 | 2 | | 17 | 53 | | 18 | 6 | | 19 | 28 | | 20 | 22 | | 21 | 6 | | 22 | 80 | | 23 | 6 | | 24 | 12 | | 25 | 2 | | 26 | 35 | | 27 | 40 | | 28 | 47 | | 29 | 8 | | 30 | 51 | | 31 | 13 | | 32 | 22 | | 33 | 35 | | 34 | 7 | | 35 | 7 | | 36 | 27 | | 37 | 41 | | 38 | 5 | | 39 | 5 | | 40 | 19 | | 41 | 26 | | 42 | 12 | | 43 | 80 | | 44 | 2 | | 45 | 6 | | 46 | 29 | | 47 | 81 | | 48 | 5 | | 49 | 70 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 140 | | matches | | 0 | "was offering" | | 1 | "was showing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 118 | | ratio | 0.085 | | matches | | 0 | "No one knocked like that — polite, deliberate, unhurried." | | 1 | "He looked exactly as he had six months ago — tailored suit, slicked-back hair, that particular stillness that made him seem less like a man and more like a calculation waiting to be solved." | | 2 | "Lucien's mouth curved — not quite a smile." | | 3 | "\"She was. She returned this morning.\" He tilted his head, and the light caught his mismatched eyes — one amber, one black as oil." | | 4 | "She'd heard the name from Eva — a low-level fixer with ambitions above his station and a reputation for getting creative with information extraction." | | 5 | "He took in the space in a single sweep — the towers of books, the clutter of research, the single mattress pushed against the far wall with its rumpled sheets." | | 6 | "Rory remembered the night in question — his flat in Soho, rain against the windows, the way he'd traced the scar on her wrist and told her he could make all her problems disappear." | | 7 | "Standard Golden Empress protocol for certain kinds of customers — no questions, no receipts, no record." | | 8 | "Rory heard what he didn't say — *I taught you to run from me.*" | | 9 | "\"Then stay angry. Yell at me. Throw something. I will stand here and take every word you have to give, because I deserve them.\" He stepped closer, and now she could smell him — sandalwood and something darker, like smoke from a distant fire." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 818 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.02689486552567237 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006112469437652812 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 13.25 | | std | 11.26 | | cv | 0.85 | | sampleLengths | | 0 | 14 | | 1 | 11 | | 2 | 9 | | 3 | 4 | | 4 | 7 | | 5 | 7 | | 6 | 20 | | 7 | 12 | | 8 | 7 | | 9 | 25 | | 10 | 34 | | 11 | 10 | | 12 | 19 | | 13 | 8 | | 14 | 2 | | 15 | 2 | | 16 | 3 | | 17 | 6 | | 18 | 3 | | 19 | 24 | | 20 | 30 | | 21 | 3 | | 22 | 7 | | 23 | 9 | | 24 | 3 | | 25 | 17 | | 26 | 28 | | 27 | 10 | | 28 | 1 | | 29 | 24 | | 30 | 2 | | 31 | 9 | | 32 | 14 | | 33 | 30 | | 34 | 6 | | 35 | 15 | | 36 | 13 | | 37 | 15 | | 38 | 7 | | 39 | 6 | | 40 | 9 | | 41 | 34 | | 42 | 6 | | 43 | 2 | | 44 | 2 | | 45 | 27 | | 46 | 3 | | 47 | 3 | | 48 | 12 | | 49 | 2 |
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| 38.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.2966101694915254 | | totalSentences | 118 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 42.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 63 | | matches | | 0 | "She set the cat aside" | | 1 | "He looked exactly as he" | | 2 | "She pulled the door open" | | 3 | "He tilted his head, and" | | 4 | "He wasn't wrong." | | 5 | "She'd deleted his contact four" | | 6 | "She'd heard the name from" | | 7 | "She stepped back and let" | | 8 | "He took in the space" | | 9 | "She closed the door and" | | 10 | "She'd known what he was" | | 11 | "She'd walked out." | | 12 | "He'd let her." | | 13 | "she said, because she needed" | | 14 | "She filled the kettle anyway," | | 15 | "He set his cane against" | | 16 | "She held his gaze" | | 17 | "she said quietly" | | 18 | "She pushed off from the" | | 19 | "He looked at her for" |
| | ratio | 0.444 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 63 | | matches | | 0 | "The knock came at half" | | 1 | "Rory looked up from Eva's" | | 2 | "Eva used her keys." | | 3 | "The landlord kicked at the" | | 4 | "She set the cat aside" | | 5 | "The peephole showed a sliver" | | 6 | "Rory's hand froze on the" | | 7 | "Lucien Moreau stood in the" | | 8 | "He looked exactly as he" | | 9 | "She pulled the door open" | | 10 | "Lucien's mouth curved — not" | | 11 | "Rory's grip tightened on the" | | 12 | "He tilted his head, and" | | 13 | "He wasn't wrong." | | 14 | "She'd deleted his contact four" | | 15 | "The air left her lungs" | | 16 | "She'd heard the name from" | | 17 | "She stepped back and let" | | 18 | "Lucien moved past her into" | | 19 | "He took in the space" |
| | ratio | 0.937 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 28.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 4 | | matches | | 0 | "Lucien Moreau stood in the hallway, one hand resting on the ivory grip of his cane, the other raised as if preparing to knock again." | | 1 | "He looked exactly as he had six months ago — tailored suit, slicked-back hair, that particular stillness that made him seem less like a man and more like a calc…" | | 2 | "A tie to a half-demon fixer that would bind her to him in ways that had nothing to do with money and everything to do with power." | | 3 | "Lucien inclined his head, a gesture of acceptance that looked almost like relief." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "He tilted, and the light caught his mismatched eyes — one amber, one black as oil" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 62 | | tagDensity | 0.081 | | leniency | 0.161 | | rawRatio | 0 | | effectiveRatio | 0 | |