| 80.60% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 4 | | adverbTags | | 0 | "His knuckles whitened briefly [briefly]" | | 1 | "He looked around [around]" | | 2 | "he said quietly [quietly]" | | 3 | "She stepped back [back]" |
| | dialogueSentences | 67 | | tagDensity | 0.373 | | leniency | 0.746 | | rawRatio | 0.16 | | effectiveRatio | 0.119 | |
| 76.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1687 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "very" | | 1 | "slightly" | | 2 | "perfectly" | | 3 | "really" | | 4 | "utterly" | | 5 | "carefully" |
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| 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) | |
| 88.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1687 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "absolutely" | | 1 | "pulse" | | 2 | "flicker" | | 3 | "measured" |
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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 | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 79 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1705 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 27 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 984 | | uniqueNames | 18 | | maxNameDensity | 0.51 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | Brick | 1 | | Lane | 1 | | November | 1 | | Lucien | 5 | | Moreau | 1 | | Eva | 3 | | Golden | 1 | | Empress | 1 | | Szechuan | 1 | | Rain | 2 | | Cardiff | 1 | | University | 1 | | Canton | 1 | | London | 1 | | Ptolemy | 4 | | Seven | 1 | | Silas | 1 | | Rory | 3 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Rain" | | 4 | "Ptolemy" | | 5 | "Silas" | | 6 | "Rory" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Cardiff" | | 3 | "Canton" | | 4 | "London" | | 5 | "Seven" |
| | globalScore | 1 | | windowScore | 1 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | 0 | "as if checking a shipment" |
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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 | 1705 | | matches | (empty) | |
| 76.58% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 111 | | matches | | 0 | "Hated that she" | | 1 | "chose that moment" | | 2 | "measured that distance" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 27.95 | | std | 28.6 | | cv | 1.023 | | sampleLengths | | 0 | 50 | | 1 | 80 | | 2 | 26 | | 3 | 2 | | 4 | 46 | | 5 | 4 | | 6 | 8 | | 7 | 75 | | 8 | 7 | | 9 | 1 | | 10 | 16 | | 11 | 64 | | 12 | 37 | | 13 | 65 | | 14 | 13 | | 15 | 12 | | 16 | 70 | | 17 | 3 | | 18 | 28 | | 19 | 19 | | 20 | 13 | | 21 | 4 | | 22 | 4 | | 23 | 5 | | 24 | 32 | | 25 | 32 | | 26 | 2 | | 27 | 3 | | 28 | 6 | | 29 | 4 | | 30 | 82 | | 31 | 14 | | 32 | 1 | | 33 | 15 | | 34 | 100 | | 35 | 8 | | 36 | 66 | | 37 | 7 | | 38 | 4 | | 39 | 28 | | 40 | 36 | | 41 | 57 | | 42 | 5 | | 43 | 1 | | 44 | 5 | | 45 | 126 | | 46 | 12 | | 47 | 3 | | 48 | 21 | | 49 | 39 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 70 | | matches | | |
| 87.01% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 177 | | matches | | 0 | "was still holding" | | 1 | "were masquerading" | | 2 | "was doing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 1 | | flaggedSentences | 13 | | totalSentences | 111 | | ratio | 0.117 | | matches | | 0 | "The third deadbolt gave with a clunk that rattled the frame, and Brick Lane came in with the November night — rain on hot tarmac, frying onions, cumin climbing from the curry house downstairs." | | 1 | "The ivory handle of his cane sat under his palm, the ferrule parked in a shallow puddle, and his eyes did the thing they always did — the amber one taking her in, warm as lamplight, while the black one returned nothing at all." | | 2 | "Rory stood her ground in a ten-year-old Cardiff University hoodie with PRE-LAW ghosting across the chest in cracked letters, grey socks on a cold floor, and refused — absolutely refused — to feel underdressed." | | 3 | "Her thumb found the small crescent scar on her left wrist and pressed, an old habit, a childhood accident — she'd broken her fall off a garden wall in Canton at nine — though there was a version of the story people assumed when they saw it, and she'd stopped correcting them." | | 4 | "The room tilted, very slightly, or she did, because she'd stepped back without deciding to — and he moved, unhurried and precise, through the doorway and past her, close enough that she caught rain and wet wool and the cold spice of whatever cologne survived a London downpour." | | 5 | "That had been one of the things she'd —" | | 6 | "\"Meaning one I keep an ear on.\" He looked around Eva's flat — the towers of books leaning like drunk witnesses, the scrolls in their acid-free sleeves, the table under the window buried under research notes in Eva's looping hand — as if checking a shipment." | | 7 | "On the landing bulb's flicker, his eyes traded places — the black one warm with something she couldn't name, the amber one giving nothing away." | | 8 | "\"With what mouth?\" For the first time, something cracked in the polish — small, but she heard it the way you hear the first note of a song you know by heart." | | 9 | "It was four steps; she'd measured that distance in her head a hundred times over seven months and two weeks, and it had never once been four steps before." | | 10 | "She took his lapels — wet wool, cold as the night — and said, \"For the record, I'm doing this,\" and kissed him." | | 11 | "\"Those three favors. We settle them together. Carefully. On paper.\" Her thumb found the crescent scar again — not pressing this time, just touching." | | 12 | "\"I'll reheat them. The hob works, unlike your judgment.\" She turned to the door and, one by one, threw all three deadbolts — the clunk and the clunk and the clunk, the world and its weather and its hunters shut outside — and felt, for the first time in seven months and two weeks, entirely calm." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 972 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.033950617283950615 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.012345679012345678 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 15.36 | | std | 15.46 | | cv | 1.007 | | sampleLengths | | 0 | 34 | | 1 | 16 | | 2 | 21 | | 3 | 6 | | 4 | 9 | | 5 | 44 | | 6 | 14 | | 7 | 5 | | 8 | 7 | | 9 | 2 | | 10 | 24 | | 11 | 8 | | 12 | 14 | | 13 | 4 | | 14 | 8 | | 15 | 13 | | 16 | 25 | | 17 | 34 | | 18 | 3 | | 19 | 7 | | 20 | 1 | | 21 | 12 | | 22 | 4 | | 23 | 12 | | 24 | 52 | | 25 | 17 | | 26 | 20 | | 27 | 48 | | 28 | 5 | | 29 | 3 | | 30 | 9 | | 31 | 6 | | 32 | 3 | | 33 | 4 | | 34 | 10 | | 35 | 2 | | 36 | 46 | | 37 | 24 | | 38 | 3 | | 39 | 28 | | 40 | 15 | | 41 | 4 | | 42 | 13 | | 43 | 4 | | 44 | 4 | | 45 | 5 | | 46 | 3 | | 47 | 23 | | 48 | 6 | | 49 | 32 |
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| 71.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4774774774774775 | | totalSentences | 111 | | uniqueOpeners | 53 | |
| 52.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 64 | | matches | | 0 | "Then he looked at her," |
| | ratio | 0.016 | |
| 26.25% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 64 | | matches | | 0 | "His platinum hair had come" | | 1 | "She had flipped all three" | | 2 | "Her hands had clearly missed" | | 3 | "She was still holding the" | | 4 | "She felt underdressed." | | 5 | "His knuckles whitened briefly on" | | 6 | "Her thumb found the small" | | 7 | "He did not touch her." | | 8 | "He never presumed." | | 9 | "He didn't touch the deadbolts" | | 10 | "She noticed that." | | 11 | "she said, when her voice" | | 12 | "He looked around Eva's flat" | | 13 | "he murmured, and then, with" | | 14 | "It came out sharper than" | | 15 | "His throat moved." | | 16 | "she went on, because she" | | 17 | "he said quietly" | | 18 | "His jaw worked." | | 19 | "He tipped his head, indicating" |
| | ratio | 0.484 | |
| 53.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 64 | | matches | | 0 | "The third deadbolt gave with" | | 1 | "Rain had silvered the shoulders" | | 2 | "His platinum hair had come" | | 3 | "The ivory handle of his" | | 4 | "She had flipped all three" | | 5 | "Her hands had clearly missed" | | 6 | "She was still holding the" | | 7 | "Rain gusted along the landing" | | 8 | "Rory stood her ground in" | | 9 | "She felt underdressed." | | 10 | "His knuckles whitened briefly on" | | 11 | "The name went through her" | | 12 | "Her thumb found the small" | | 13 | "Lucien went on, quiet and" | | 14 | "The room tilted, very slightly," | | 15 | "He did not touch her." | | 16 | "He never presumed." | | 17 | "That had been one of" | | 18 | "He didn't touch the deadbolts" | | 19 | "She noticed that." |
| | ratio | 0.813 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 45.45% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 3 | | matches | | 0 | "The third deadbolt gave with a clunk that rattled the frame, and Brick Lane came in with the November night — rain on hot tarmac, frying onions, cumin climbing …" | | 1 | "Ptolemy chose that moment to abandon whatever feline dignity he'd been pretending to and pour himself around Lucien's ankles, purring like a badly maintained en…" | | 2 | "The cane clattered against a tower of books, which avalanched with a literary sigh, and Ptolemy abandoned the noodles with an affronted yowl, and none of it mat…" |
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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 | 3 | | fancyTags | | 0 | "he agreed (agree)" | | 1 | "he murmured (murmur)" | | 2 | "Her thumb found (find)" |
| | dialogueSentences | 67 | | tagDensity | 0.164 | | leniency | 0.328 | | rawRatio | 0.273 | | effectiveRatio | 0.09 | |