| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "The word dropped like [like]" | | 1 | "She swung back [back]" |
| | dialogueSentences | 70 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.1 | | effectiveRatio | 0.057 | |
| 90.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1595 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "precisely" | | 1 | "slightly" | | 2 | "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) | |
| 49.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1595 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "methodical" | | 1 | "chill" | | 2 | "scanning" | | 3 | "predator" | | 4 | "eyebrow" | | 5 | "silence" | | 6 | "trembled" | | 7 | "flickered" | | 8 | "processed" | | 9 | "comfortable" | | 10 | "weight" | | 11 | "constructed" | | 12 | "tracing" |
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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 | 1 | | narrationSentences | 90 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 90 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 139 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1585 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1046 | | uniqueNames | 18 | | maxNameDensity | 0.48 | | worstName | "Maggie" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Maggie" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 2 | | Tuesday | 1 | | Tom | 3 | | Waits | 3 | | November | 1 | | Picked | 1 | | Silas | 4 | | Cleared | 1 | | Leonard | 1 | | Cohen | 1 | | London | 1 | | Prague | 1 | | Set | 1 | | Macallan | 1 | | Poured | 1 | | Maggie | 5 |
| | persons | | 0 | "Nest" | | 1 | "Tom" | | 2 | "Waits" | | 3 | "November" | | 4 | "Picked" | | 5 | "Silas" | | 6 | "Leonard" | | 7 | "Cohen" | | 8 | "Maggie" |
| | places | | 0 | "Raven" | | 1 | "Soho" | | 2 | "Tuesday" | | 3 | "London" | | 4 | "Prague" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1585 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 139 | | matches | | 0 | "hands that moved" | | 1 | "convinced that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 75 | | mean | 21.13 | | std | 17.97 | | cv | 0.851 | | sampleLengths | | 0 | 51 | | 1 | 53 | | 2 | 56 | | 3 | 6 | | 4 | 66 | | 5 | 1 | | 6 | 20 | | 7 | 20 | | 8 | 28 | | 9 | 23 | | 10 | 20 | | 11 | 25 | | 12 | 4 | | 13 | 2 | | 14 | 60 | | 15 | 9 | | 16 | 3 | | 17 | 3 | | 18 | 8 | | 19 | 6 | | 20 | 5 | | 21 | 30 | | 22 | 17 | | 23 | 34 | | 24 | 3 | | 25 | 7 | | 26 | 10 | | 27 | 4 | | 28 | 25 | | 29 | 6 | | 30 | 4 | | 31 | 58 | | 32 | 10 | | 33 | 7 | | 34 | 4 | | 35 | 2 | | 36 | 26 | | 37 | 1 | | 38 | 27 | | 39 | 1 | | 40 | 26 | | 41 | 10 | | 42 | 47 | | 43 | 26 | | 44 | 26 | | 45 | 2 | | 46 | 11 | | 47 | 42 | | 48 | 12 | | 49 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 90 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 194 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 139 | | ratio | 0.05 | | matches | | 0 | "But those eyes—grey-green and assessing—hadn't changed at all." | | 1 | "Her hands were different now—scarred across the knuckles, the nails bitten down to the quick." | | 2 | "Margaret turned on her stool, surveying the walls covered in their deliberate clutter—old maps of places they'd operated in, black-and-white photographs of Soho from decades before either of them had walked these streets." | | 3 | "He'd thought he'd processed this—thought he'd filed it away in the locked compartment where old operatives stored the things that would otherwise eat them alive." | | 4 | "In the mirror behind the spirits, he caught his own reflection—grey-streaked, weathered, nothing like the man who'd sat across from her in that café and believed the job was worth any cost." | | 5 | "She looked away, toward the rain tracing patterns down the window, and for a moment he saw the woman she'd been before Prague—younger, hungrier, convinced that the work mattered enough to justify any sacrifice." | | 6 | "Something shifted in her face—a crack in the armour she'd built around herself, letting him glimpse the grief she'd been carrying all these years." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1062 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.023540489642184557 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004708097928436911 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 139 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 139 | | mean | 11.4 | | std | 9.55 | | cv | 0.837 | | sampleLengths | | 0 | 19 | | 1 | 32 | | 2 | 22 | | 3 | 31 | | 4 | 19 | | 5 | 21 | | 6 | 3 | | 7 | 13 | | 8 | 6 | | 9 | 39 | | 10 | 19 | | 11 | 8 | | 12 | 1 | | 13 | 5 | | 14 | 1 | | 15 | 14 | | 16 | 14 | | 17 | 6 | | 18 | 7 | | 19 | 3 | | 20 | 18 | | 21 | 10 | | 22 | 13 | | 23 | 20 | | 24 | 4 | | 25 | 1 | | 26 | 20 | | 27 | 4 | | 28 | 2 | | 29 | 18 | | 30 | 10 | | 31 | 15 | | 32 | 5 | | 33 | 3 | | 34 | 9 | | 35 | 9 | | 36 | 3 | | 37 | 3 | | 38 | 8 | | 39 | 3 | | 40 | 3 | | 41 | 5 | | 42 | 30 | | 43 | 8 | | 44 | 9 | | 45 | 15 | | 46 | 19 | | 47 | 3 | | 48 | 7 | | 49 | 3 |
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| 78.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.49640287769784175 | | totalSentences | 139 | | uniqueOpeners | 69 | |
| 39.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 84 | | matches | | | ratio | 0.012 | |
| 58.10% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 84 | | matches | | 0 | "She stood there, dripping rain" | | 1 | "He'd taught that sweep to" | | 2 | "His hands stilled on the" | | 3 | "Her face had sharpened, cheekbones" | | 4 | "She flinched at the name." | | 5 | "She pulled out a stool," | | 6 | "He set the glass down" | | 7 | "She ordered a whisky." | | 8 | "He poured her the good" | | 9 | "Her hands were different now—scarred" | | 10 | "She'd worn them polished, once." | | 11 | "She said it like an" | | 12 | "Her mouth twisted." | | 13 | "He felt the sting, acknowledged" | | 14 | "He leaned against the back" | | 15 | "Her jaw tightened." | | 16 | "She finally took a drink." | | 17 | "She swung back to face" | | 18 | "She hissed the words between" | | 19 | "He'd thought he'd processed this—thought" |
| | ratio | 0.405 | |
| 67.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 84 | | matches | | 0 | "The green neon sign buzzed" | | 1 | "Silas dried a glass with" | | 2 | "The door swung open, bringing" | | 3 | "She stood there, dripping rain" | | 4 | "Silas recognised it." | | 5 | "He'd taught that sweep to" | | 6 | "His hands stilled on the" | | 7 | "The woman's hair was cropped" | | 8 | "Her face had sharpened, cheekbones" | | 9 | "She flinched at the name." | | 10 | "She pulled out a stool," | | 11 | "He set the glass down" | | 12 | "A sound escaped her, not" | | 13 | "She ordered a whisky." | | 14 | "He poured her the good" | | 15 | "The silence stretched between them," | | 16 | "Margaret wrapped her fingers around" | | 17 | "Her hands were different now—scarred" | | 18 | "She'd worn them polished, once." | | 19 | "She said it like an" |
| | ratio | 0.786 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 84 | | matches | | 0 | "Because I've spent ten years" | | 1 | "Because seeing you walk through" |
| | ratio | 0.024 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 7 | | matches | | 0 | "Silas dried a glass with the kind of methodical attention that disguised how little he needed to think about the task anymore." | | 1 | "He'd thought he'd processed this—thought he'd filed it away in the locked compartment where old operatives stored the things that would otherwise eat them alive…" | | 2 | "The burn helped anchor him against the current pulling him back to a rainy night in a city that had shaped them both into people they no longer recognised." | | 3 | "In the mirror behind the spirits, he caught his own reflection—grey-streaked, weathered, nothing like the man who'd sat across from her in that café and believe…" | | 4 | "The silence that followed wasn't comfortable, but it was different." | | 5 | "Because seeing you walk through that door reminded me that I used to be someone who cared about more than pulling pints and pretending the past doesn't exist." | | 6 | "Outside, the rain eased, and the green neon sign continued its patient buzzing, lighting the way for whoever might need to find their way home." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 70 | | tagDensity | 0.029 | | leniency | 0.057 | | rawRatio | 0.5 | | effectiveRatio | 0.029 | |