| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 112 | | tagDensity | 0.223 | | leniency | 0.446 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1939 | | totalAiIsmAdverbs | 1 | | 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) | |
| 61.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1939 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "crystal" | | 1 | "effortless" | | 2 | "scanning" | | 3 | "familiar" | | 4 | "aligned" | | 5 | "silence" | | 6 | "affection" | | 7 | "porcelain" | | 8 | "weight" | | 9 | "flickered" | | 10 | "tinged" |
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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 | 131 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 131 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 218 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1929 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 33 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 110 | | wordCount | 1344 | | uniqueNames | 28 | | maxNameDensity | 2.9 | | worstName | "Eva" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Eva" | | discoveredNames | | Rory | 31 | | Raven | 1 | | Nest | 1 | | Mayfair | 1 | | Soho | 2 | | Hartley | 4 | | Eva | 39 | | Doc | 1 | | Martens | 1 | | Cardiff | 3 | | Kant | 1 | | Thursday-night | 1 | | Tottenham | 1 | | Silas | 8 | | Silence | 1 | | Nina | 1 | | Simone | 1 | | Two | 2 | | Pontcanna | 1 | | Clwb | 1 | | Ifor | 1 | | Bach | 1 | | Otis | 1 | | Redding | 1 | | Battersea | 1 | | Golden | 1 | | Empress | 1 | | Evan | 1 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Hartley" | | 3 | "Eva" | | 4 | "Silas" | | 5 | "Nina" | | 6 | "Simone" | | 7 | "Ifor" | | 8 | "Bach" | | 9 | "Otis" | | 10 | "Redding" | | 11 | "Evan" |
| | places | | 0 | "Mayfair" | | 1 | "Soho" | | 2 | "Cardiff" | | 3 | "Tottenham" | | 4 | "Pontcanna" | | 5 | "Clwb" | | 6 | "Battersea" | | 7 | "Golden" |
| | globalScore | 0.049 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | 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 | 1929 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 218 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 125 | | mean | 15.43 | | std | 16.66 | | cv | 1.08 | | sampleLengths | | 0 | 20 | | 1 | 26 | | 2 | 91 | | 3 | 2 | | 4 | 46 | | 5 | 17 | | 6 | 2 | | 7 | 53 | | 8 | 5 | | 9 | 46 | | 10 | 35 | | 11 | 1 | | 12 | 2 | | 13 | 2 | | 14 | 7 | | 15 | 24 | | 16 | 10 | | 17 | 3 | | 18 | 2 | | 19 | 24 | | 20 | 26 | | 21 | 7 | | 22 | 55 | | 23 | 6 | | 24 | 24 | | 25 | 4 | | 26 | 52 | | 27 | 5 | | 28 | 3 | | 29 | 4 | | 30 | 34 | | 31 | 21 | | 32 | 31 | | 33 | 5 | | 34 | 5 | | 35 | 50 | | 36 | 13 | | 37 | 4 | | 38 | 9 | | 39 | 28 | | 40 | 16 | | 41 | 3 | | 42 | 5 | | 43 | 36 | | 44 | 4 | | 45 | 4 | | 46 | 5 | | 47 | 26 | | 48 | 44 | | 49 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 131 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 217 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 218 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1352 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.02514792899408284 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0014792899408284023 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 218 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 218 | | mean | 8.85 | | std | 8.41 | | cv | 0.95 | | sampleLengths | | 0 | 20 | | 1 | 24 | | 2 | 2 | | 3 | 4 | | 4 | 27 | | 5 | 32 | | 6 | 28 | | 7 | 2 | | 8 | 15 | | 9 | 24 | | 10 | 7 | | 11 | 17 | | 12 | 2 | | 13 | 5 | | 14 | 25 | | 15 | 16 | | 16 | 4 | | 17 | 3 | | 18 | 5 | | 19 | 38 | | 20 | 8 | | 21 | 6 | | 22 | 10 | | 23 | 19 | | 24 | 1 | | 25 | 2 | | 26 | 2 | | 27 | 7 | | 28 | 6 | | 29 | 9 | | 30 | 9 | | 31 | 9 | | 32 | 1 | | 33 | 3 | | 34 | 2 | | 35 | 19 | | 36 | 5 | | 37 | 7 | | 38 | 11 | | 39 | 8 | | 40 | 7 | | 41 | 16 | | 42 | 24 | | 43 | 4 | | 44 | 7 | | 45 | 4 | | 46 | 6 | | 47 | 22 | | 48 | 2 | | 49 | 4 |
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| 54.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3532110091743119 | | totalSentences | 218 | | uniqueOpeners | 77 | |
| 30.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 110 | | matches | | 0 | "Then her phone buzzed again," |
| | ratio | 0.009 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 110 | | matches | | 0 | "She didn't hear him." | | 1 | "Her attention had snagged on" | | 2 | "She carried herself like someone" | | 3 | "She stood near the entrance," | | 4 | "She checked her phone." | | 5 | "She tucked her phone into" | | 6 | "She stepped aside and gestured" | | 7 | "They sat at the far" | | 8 | "She'd trained herself out of" | | 9 | "She lifted her gin and" | | 10 | "Her composure cracked, just a" | | 11 | "His silver signet ring clinked" | | 12 | "They sat with it." | | 13 | "She thought about the twelve" |
| | ratio | 0.127 | |
| 23.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 110 | | matches | | 0 | "The glass slipped from Rory's" | | 1 | "Silas reached across the counter" | | 2 | "She didn't hear him." | | 3 | "Her attention had snagged on" | | 4 | "A tall woman in a" | | 5 | "She carried herself like someone" | | 6 | "Eva Hartley smoked rollies on" | | 7 | "Eva Hartley did not wear" | | 8 | "Silas polished the cracked tumbler" | | 9 | "Eva hadn't seen her yet." | | 10 | "She stood near the entrance," | | 11 | "The old maps and black-and-white" | | 12 | "She checked her phone." | | 13 | "Rory slid off the barstool." | | 14 | "The walk across the bar" | | 15 | "Rory stopped two feet from" | | 16 | "Eva looked up from her" | | 17 | "The recognition came in stages," | | 18 | "Confusion first, then the slight" | | 19 | "Eva's smile tightened at the" |
| | ratio | 0.873 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 110 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 10 | | matches | | 0 | "A tall woman in a camel coat, dark hair pinned up in a way that looked effortless and expensive, the kind of effortless that cost two hundred quid at a Mayfair …" | | 1 | "She carried herself like someone used to being watched, chin lifted, shoulders squared, handbag clutched close as if the dim Soho bar might reach out and snatch…" | | 2 | "She stood near the entrance, scanning the room with the focused discomfort of someone who'd walked into the wrong restaurant and refused to admit it." | | 3 | "The walk across the bar felt longer than it should have, weaving between the Thursday-night regulars, a cluster of theatre types from the nearby playhouses and …" | | 4 | "Two stools apart at first, then Eva moved one closer, the way she always had, gravitating inward like a woman who hated empty space." | | 5 | "The pearl earring on her left ear caught the low amber light of the bar, and for a moment Rory saw the ghost of the cheap silver hoop that used to hang there, t…" | | 6 | "When she set it down, a faint smudge of lipstick marked the rim, nude pink, the colour of someone who wanted to look like they weren't wearing any." | | 7 | "The muscle memory of their old rhythm surfaced, the volley of sharpness that used to pass for affection." | | 8 | "His silver signet ring clinked against the glass as he set it down, and he moved back to his end of the bar with the quiet economy of a man who understood the w…" | | 9 | "Something broke open in Eva's expression, brief and devastating, a flash of the girl who'd shared ramen with Rory at 2 a.m." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 112 | | tagDensity | 0.098 | | leniency | 0.196 | | rawRatio | 0 | | effectiveRatio | 0 | |