| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 6 | | adverbTags | | 0 | "Catrin pulled back [back]" | | 1 | "Rory gestured vaguely [vaguely]" | | 2 | "she said instead [instead]" | | 3 | "Catrin said carefully [carefully]" | | 4 | "she said again [again]" | | 5 | "Catrin said finally [finally]" |
| | dialogueSentences | 31 | | tagDensity | 0.645 | | leniency | 1 | | rawRatio | 0.3 | | effectiveRatio | 0.3 | |
| 72.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1107 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "really" | | 1 | "quickly" | | 2 | "carefully" | | 3 | "completely" | | 4 | "gently" |
| |
| 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) | |
| 72.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1107 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "silence" | | 1 | "stomach" | | 2 | "eyebrow" | | 3 | "unspoken" |
| |
| 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 | 46 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 46 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 57 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1128 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 60.39% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 837 | | uniqueNames | 13 | | maxNameDensity | 1.79 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 15 | | Raven | 1 | | Nest | 1 | | Golden | 1 | | Empress | 1 | | Silas | 2 | | Pryce | 1 | | London | 1 | | Catrin | 13 | | Cardiff | 1 | | Colum | 1 | | Road | 1 | | Chinese | 1 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Empress" | | 4 | "Silas" | | 5 | "Catrin" |
| | places | | 0 | "Golden" | | 1 | "London" | | 2 | "Cardiff" | | 3 | "Colum" | | 4 | "Road" |
| | globalScore | 0.604 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1128 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 43.38 | | std | 26.86 | | cv | 0.619 | | sampleLengths | | 0 | 91 | | 1 | 9 | | 2 | 95 | | 3 | 25 | | 4 | 14 | | 5 | 42 | | 6 | 21 | | 7 | 58 | | 8 | 66 | | 9 | 15 | | 10 | 71 | | 11 | 59 | | 12 | 58 | | 13 | 2 | | 14 | 59 | | 15 | 32 | | 16 | 66 | | 17 | 26 | | 18 | 76 | | 19 | 20 | | 20 | 23 | | 21 | 47 | | 22 | 82 | | 23 | 31 | | 24 | 36 | | 25 | 4 |
| |
| 97.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 46 | | matches | | |
| 9.52% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 140 | | matches | | 0 | "was sitting" | | 1 | "was thinking" | | 2 | "was already crossing" | | 3 | "were recalibrating" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 57 | | ratio | 0.123 | | matches | | 0 | "She hadn't changed — that was the first thing Rory's mind registered, an almost physical jolt, like missing a stair." | | 1 | "For a moment there was nothing — a stranger's polite disinterest — and then recognition broke over her face like weather changing." | | 2 | "Nobody called her that anymore, not in London, not the way Catrin said it — full name, both syllables of the surname, like a roll call from a lecture hall in Cardiff." | | 3 | "Silas caught Rory's eye from behind the bar, one eyebrow lifting in silent inquiry — trouble?" | | 4 | "— and she shook her head almost imperceptibly." | | 5 | "The silence that followed wasn't uncomfortable so much as full — full of the versions of themselves that had once sat up until 3 a.m." | | 6 | "Rory looked at her — really looked, at the face that time hadn't touched the way it had touched her own — and felt something in her chest twist, gently, like an old bruise remembering itself." |
| |
| 97.23% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 556 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.04316546762589928 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008992805755395683 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 57 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 57 | | mean | 19.79 | | std | 15.1 | | cv | 0.763 | | sampleLengths | | 0 | 31 | | 1 | 29 | | 2 | 31 | | 3 | 9 | | 4 | 38 | | 5 | 20 | | 6 | 25 | | 7 | 12 | | 8 | 3 | | 9 | 22 | | 10 | 12 | | 11 | 2 | | 12 | 10 | | 13 | 32 | | 14 | 5 | | 15 | 11 | | 16 | 5 | | 17 | 20 | | 18 | 38 | | 19 | 31 | | 20 | 35 | | 21 | 13 | | 22 | 2 | | 23 | 53 | | 24 | 18 | | 25 | 2 | | 26 | 16 | | 27 | 8 | | 28 | 33 | | 29 | 12 | | 30 | 46 | | 31 | 2 | | 32 | 7 | | 33 | 44 | | 34 | 8 | | 35 | 6 | | 36 | 19 | | 37 | 7 | | 38 | 17 | | 39 | 49 | | 40 | 26 | | 41 | 24 | | 42 | 3 | | 43 | 49 | | 44 | 14 | | 45 | 6 | | 46 | 18 | | 47 | 5 | | 48 | 42 | | 49 | 5 |
| |
| 84.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5789473684210527 | | totalSentences | 57 | | uniqueOpeners | 33 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 42 | | matches | (empty) | | ratio | 0 | |
| 77.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 42 | | matches | | 0 | "She smelled of ginger and" | | 1 | "She wanted nothing more than" | | 2 | "She got three steps in" | | 3 | "She hadn't changed — that" | | 4 | "she said, and stood so" | | 5 | "She made herself smile" | | 6 | "It came easier than she" | | 7 | "she glanced round at the" | | 8 | "she said instead, which both" | | 9 | "He went back to polishing" | | 10 | "She laughed, a little embarrassed" | | 11 | "She didn't finish it" | | 12 | "She didn't ask." | | 13 | "She had never known, in" | | 14 | "she said again, softer" |
| | ratio | 0.357 | |
| 7.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 42 | | matches | | 0 | "The rain had followed Rory" | | 1 | "She smelled of ginger and" | | 2 | "She wanted nothing more than" | | 3 | "She got three steps in" | | 4 | "Catrin Pryce was sitting at" | | 5 | "She hadn't changed — that" | | 6 | "The same round face, the" | | 7 | "Catrin looked up." | | 8 | "she said, and stood so" | | 9 | "Rory's hand tightened on the" | | 10 | "Nobody called her that anymore," | | 11 | "She made herself smile" | | 12 | "It came easier than she" | | 13 | "Catrin was already crossing the" | | 14 | "Catrin smelled of the same" | | 15 | "Catrin pulled back, held her" | | 16 | "she glanced round at the" | | 17 | "Rory gestured vaguely at the" | | 18 | "she said instead, which both" | | 19 | "Silas caught Rory's eye from" |
| | ratio | 0.905 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 42 | | matches | | | ratio | 0.024 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 5 | | matches | | 0 | "The rain had followed Rory in from the street, beading on her jacket, dripping onto the scarred wood floor as she shouldered the door of The Raven's Nest shut b…" | | 1 | "Catrin Pryce was sitting at a table near the window, turning a glass of red wine in slow circles, her dark curls pulled back the way they always had been for ex…" | | 2 | "He went back to polishing a glass that was already clean, but she felt his attention linger, the old habit of a man who had spent thirty years reading rooms for…" | | 3 | "The silence that followed wasn't uncomfortable so much as full — full of the versions of themselves that had once sat up until 3 a.m." | | 4 | "planning lives that hadn't happened, full of the space between the girl who wanted to be a barrister and the woman who delivered Chinese food and lived above a …" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 1 | | matches | | 0 | "she said again, softer" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 31 | | tagDensity | 0.387 | | leniency | 0.774 | | rawRatio | 0.083 | | effectiveRatio | 0.065 | |