| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva said eventually [eventually]" |
| | dialogueSentences | 35 | | tagDensity | 0.457 | | leniency | 0.914 | | rawRatio | 0.063 | | effectiveRatio | 0.057 | |
| 92.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1259 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 80.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1259 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "warmth" | | 1 | "stomach" | | 2 | "flickered" | | 3 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 48 | | matches | | |
| 83.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 48 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 67 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1265 | | ratio | 0.002 | | matches | | 0 | "different" | | 1 | "diminished" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1043 | | uniqueNames | 14 | | maxNameDensity | 1.73 | | worstName | "Eva" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 17 | | Camden | 1 | | Raven | 1 | | Nest | 1 | | Golden | 1 | | Empress | 1 | | Cardiff | 2 | | Silas | 3 | | Eva | 18 | | Seven | 2 | | London | 1 | | Evan | 1 | | Fiesta | 1 | | Sunday | 1 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Silas" | | 3 | "Eva" | | 4 | "Evan" | | 5 | "Fiesta" |
| | places | | 0 | "Cardiff" | | 1 | "London" | | 2 | "Sunday" |
| | globalScore | 0.637 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | glossingSentenceCount | 3 | | matches | | 0 | "not quite meeting her eyes" | | 1 | "felt like it was skirting the real word" | | 2 | "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 | 1265 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 37.21 | | std | 31.98 | | cv | 0.86 | | sampleLengths | | 0 | 83 | | 1 | 78 | | 2 | 6 | | 3 | 108 | | 4 | 1 | | 5 | 48 | | 6 | 22 | | 7 | 39 | | 8 | 21 | | 9 | 44 | | 10 | 2 | | 11 | 47 | | 12 | 12 | | 13 | 60 | | 14 | 10 | | 15 | 81 | | 16 | 22 | | 17 | 18 | | 18 | 3 | | 19 | 49 | | 20 | 82 | | 21 | 6 | | 22 | 43 | | 23 | 45 | | 24 | 2 | | 25 | 44 | | 26 | 2 | | 27 | 47 | | 28 | 35 | | 29 | 128 | | 30 | 10 | | 31 | 4 | | 32 | 23 | | 33 | 40 |
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| 97.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 48 | | matches | | |
| 87.64% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 178 | | matches | | 0 | "was conserving" | | 1 | "was skirting" | | 2 | "was trying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 67 | | ratio | 0.06 | | matches | | 0 | "The green neon sign buzzed faintly overhead, throwing its sickly light across the wet pavement, and she was grateful for the warmth that met her inside — the smell of old wood and spilled whiskey, the low murmur of conversation, the black-and-white photographs on the walls watching her like a jury of the dead." | | 1 | "Eva had dropped her at the mouth of this very street, told her to call once she'd found her feet, and then she'd simply — vanished." | | 2 | "The bar noise filled the space where her answer should have been — someone's laughter near the door, the clink of ice, Silas murmuring something to a man in a flat cap at the far end." | | 3 | "Rory thought about all the versions of Eva that existed only in memory now — the girl who'd stolen hair elastics, who'd once cried at a Sunday afternoon film about a dog, who'd driven through the night without complaint because a friend needed saving." |
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| 90.58% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1044 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 53 | | adverbRatio | 0.05076628352490421 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.012452107279693486 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 67 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 67 | | mean | 18.88 | | std | 14.9 | | cv | 0.789 | | sampleLengths | | 0 | 29 | | 1 | 54 | | 2 | 47 | | 3 | 4 | | 4 | 27 | | 5 | 6 | | 6 | 42 | | 7 | 5 | | 8 | 26 | | 9 | 8 | | 10 | 27 | | 11 | 1 | | 12 | 37 | | 13 | 11 | | 14 | 19 | | 15 | 3 | | 16 | 26 | | 17 | 13 | | 18 | 18 | | 19 | 3 | | 20 | 41 | | 21 | 3 | | 22 | 2 | | 23 | 19 | | 24 | 28 | | 25 | 12 | | 26 | 29 | | 27 | 5 | | 28 | 21 | | 29 | 5 | | 30 | 10 | | 31 | 49 | | 32 | 32 | | 33 | 11 | | 34 | 11 | | 35 | 10 | | 36 | 8 | | 37 | 3 | | 38 | 35 | | 39 | 14 | | 40 | 3 | | 41 | 26 | | 42 | 3 | | 43 | 3 | | 44 | 47 | | 45 | 5 | | 46 | 1 | | 47 | 7 | | 48 | 36 | | 49 | 30 |
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| 45.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.373134328358209 | | totalSentences | 67 | | uniqueOpeners | 25 | |
| 72.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 46 | | matches | | 0 | "Then something flickered behind the" |
| | ratio | 0.022 | |
| 72.17% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 46 | | matches | | 0 | "She'd worked a twelve-hour shift" | | 1 | "She wanted a drink." | | 2 | "She wanted her own bed" | | 3 | "She didn't expect to see" | | 4 | "Her cheekbones stood too sharp" | | 5 | "She slid onto the stool" | | 6 | "He poured without asking Eva" | | 7 | "He set the glass down" | | 8 | "She stopped herself" | | 9 | "She'd been about to say" | | 10 | "She finally looked at Rory" | | 11 | "It wasn't unkind, just final," | | 12 | "She could see it in" | | 13 | "They sat like that for" | | 14 | "She wondered if that girl" | | 15 | "She smiled, and for just" | | 16 | "She left a note of" |
| | ratio | 0.37 | |
| 36.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 39 | | totalSentences | 46 | | matches | | 0 | "The rain had followed Rory" | | 1 | "The green neon sign buzzed" | | 2 | "She'd worked a twelve-hour shift" | | 3 | "She wanted a drink." | | 4 | "She wanted her own bed" | | 5 | "She didn't expect to see" | | 6 | "Rory almost didn't recognize her." | | 7 | "The Eva she remembered had" | | 8 | "This woman looked carved out" | | 9 | "Her cheekbones stood too sharp" | | 10 | "The woman turned, and for" | | 11 | "Eva's voice was rougher than" | | 12 | "She slid onto the stool" | | 13 | "Eva turned her glass a" | | 14 | "Silas appeared from behind the" | | 15 | "He poured without asking Eva" | | 16 | "He set the glass down" | | 17 | "Eva said, though it came" | | 18 | "Rory laughed, but it died" | | 19 | "She stopped herself" |
| | ratio | 0.848 | |
| 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 | 24 | | technicalSentenceCount | 7 | | matches | | 0 | "The green neon sign buzzed faintly overhead, throwing its sickly light across the wet pavement, and she was grateful for the warmth that met her inside — the sm…" | | 1 | "Her cheekbones stood too sharp against her skin, and there was a stillness to her that hadn't been there before, like she was conserving energy for something." | | 2 | "Silas appeared from behind the bar, wiping his hands on a cloth that had seen cleaner days, his hazel eyes flicking between the two women with the quiet assessm…" | | 3 | "He poured without asking Eva anything, which told Rory he'd already served her once tonight, maybe more than once." | | 4 | "She'd been about to say *different*, but that felt insufficient, felt like it was skirting the real word, which was *diminished*." | | 5 | "They sat like that for a while, the silence stretching comfortably and then uncomfortably and then comfortably again, two women who used to finish each other's …" | | 6 | "She wondered if that girl was still in there somewhere, folded up small beneath all the years that had happened since, or if she'd been spent entirely, used up …" |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva turned, not quite meeting her eyes" |
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| 92.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "Rory laughed (laugh)" | | 1 | "Eva laughed (laugh)" |
| | dialogueSentences | 35 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.286 | | effectiveRatio | 0.114 | |