| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "His jaw worked once [once]" | | 1 | "She stepped back [back]" |
| | dialogueSentences | 56 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.125 | | effectiveRatio | 0.071 | |
| 89.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1471 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 83.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1471 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "weight" | | 1 | "eyebrow" | | 2 | "trembled" | | 3 | "stomach" | | 4 | "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 | 0 | | narrationSentences | 72 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 72 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 67 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1481 | | 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 | 27 | | wordCount | 875 | | uniqueNames | 10 | | maxNameDensity | 0.69 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 6 | | Moreau | 1 | | Eva | 3 | | Brick | 2 | | Lane | 2 | | Rain | 1 | | Ptolemy | 6 | | Breathed | 1 | | Lucien | 4 | | Amber | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Rain" | | 4 | "Ptolemy" | | 5 | "Lucien" | | 6 | "Amber" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | 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 | 1481 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 113 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 23.89 | | std | 22.45 | | cv | 0.94 | | sampleLengths | | 0 | 23 | | 1 | 6 | | 2 | 82 | | 3 | 11 | | 4 | 18 | | 5 | 3 | | 6 | 9 | | 7 | 20 | | 8 | 44 | | 9 | 2 | | 10 | 6 | | 11 | 4 | | 12 | 6 | | 13 | 53 | | 14 | 42 | | 15 | 31 | | 16 | 23 | | 17 | 5 | | 18 | 7 | | 19 | 29 | | 20 | 81 | | 21 | 13 | | 22 | 3 | | 23 | 1 | | 24 | 43 | | 25 | 63 | | 26 | 5 | | 27 | 33 | | 28 | 8 | | 29 | 36 | | 30 | 26 | | 31 | 34 | | 32 | 4 | | 33 | 5 | | 34 | 76 | | 35 | 6 | | 36 | 15 | | 37 | 76 | | 38 | 35 | | 39 | 5 | | 40 | 11 | | 41 | 33 | | 42 | 15 | | 43 | 6 | | 44 | 24 | | 45 | 10 | | 46 | 1 | | 47 | 60 | | 48 | 27 | | 49 | 6 |
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| 90.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 72 | | matches | | 0 | "was gone" | | 1 | "been caught" | | 2 | "been banned" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 142 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 113 | | ratio | 0.053 | | matches | | 0 | "She had closed this door in her head a hundred times — over a pint at Silas', on the ride home from the Golden Empress, in the shower with her forehead against the tile." | | 1 | "He reached into his coat, and she moved before thinking — weight back, hand out — and he stopped, one eyebrow raised, and drew the object out slow." | | 2 | "He kept it low as a rule; it was one of the first things she'd liked about him and one of the last things she'd trusted." | | 3 | "Ptolemy hit the floor with a chirp of complaint and threaded through the gap to ram his forehead against Lucien's shin, and Lucien crouched — no wince, though the bruise said there should have been one — and scratched him once under the chin with a split knuckle the cat would have to forgive later." | | 4 | "His sleeve dragged wet wool across her forearm on the way past, and his cologne had outlived the weather — cold citrus over rain — and she was not going to think about that." | | 5 | "\"You're dripping on Eva's research. She'll have my head.\" She turned toward the kitchen nook and the kettle and the two mugs she'd have to wash — Eva's mugs had never matched and never would." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 658 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.0121580547112462 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.001519756838905775 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 13.11 | | std | 12.86 | | cv | 0.981 | | sampleLengths | | 0 | 23 | | 1 | 6 | | 2 | 21 | | 3 | 11 | | 4 | 19 | | 5 | 4 | | 6 | 27 | | 7 | 11 | | 8 | 9 | | 9 | 9 | | 10 | 3 | | 11 | 9 | | 12 | 14 | | 13 | 6 | | 14 | 10 | | 15 | 21 | | 16 | 13 | | 17 | 2 | | 18 | 6 | | 19 | 4 | | 20 | 6 | | 21 | 5 | | 22 | 34 | | 23 | 8 | | 24 | 6 | | 25 | 28 | | 26 | 2 | | 27 | 12 | | 28 | 8 | | 29 | 23 | | 30 | 17 | | 31 | 6 | | 32 | 5 | | 33 | 7 | | 34 | 5 | | 35 | 24 | | 36 | 18 | | 37 | 63 | | 38 | 13 | | 39 | 3 | | 40 | 1 | | 41 | 29 | | 42 | 3 | | 43 | 11 | | 44 | 11 | | 45 | 26 | | 46 | 26 | | 47 | 5 | | 48 | 11 | | 49 | 22 |
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| 62.83% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4247787610619469 | | totalSentences | 113 | | uniqueOpeners | 48 | |
| 49.02% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 68 | | matches | | 0 | "Somewhere on Brick Lane a" |
| | ratio | 0.015 | |
| 25.88% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 68 | | matches | | 0 | "His knuckles were split." | | 1 | "His cane hung from the" | | 2 | "He tipped his chin at" | | 3 | "She should close the door." | | 4 | "She had closed this door" | | 5 | "He reached into his coat," | | 6 | "She knew it before he" | | 7 | "She'd found it in the" | | 8 | "He held it out through" | | 9 | "Her voice came out level," | | 10 | "She held on." | | 11 | "He hadn't raised his voice" | | 12 | "He kept it low as" | | 13 | "His jaw worked once" | | 14 | "She put it out there," | | 15 | "He stopped himself" | | 16 | "His thumb ran the ivory" | | 17 | "Her stomach dropped through the" | | 18 | "She kept her face still." | | 19 | "She looked at the folder." |
| | ratio | 0.485 | |
| 70.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 68 | | matches | | 0 | "The chain stopped the door" | | 1 | "Lucien Moreau filled Eva's landing" | | 2 | "A bruise sat under the" | | 3 | "His knuckles were split." | | 4 | "His cane hung from the" | | 5 | "He tipped his chin at" | | 6 | "Rory looked down at the" | | 7 | "A drop of rain tracked" | | 8 | "Rory kept her thumb on" | | 9 | "She should close the door." | | 10 | "She had closed this door" | | 11 | "He reached into his coat," | | 12 | "Cream-coloured, thin, warped at one" | | 13 | "She knew it before he" | | 14 | "She'd found it in the" | | 15 | "He held it out through" | | 16 | "The chain trembled between them." | | 17 | "Ptolemy shoved his skull at" | | 18 | "Her voice came out level," | | 19 | "The cat squirmed" |
| | ratio | 0.779 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 12.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 4 | | matches | | 0 | "Lucien Moreau filled Eva's landing with rain running off the shoulders of a suit that had cost more than her van." | | 1 | "The cat purring against her ribs like a small engine that had chosen a side, and chosen wrong." | | 2 | "Ptolemy had gone boneless over her shoulder, tail swinging against her arm, and Lucien watched the cat and not her while he said it, which was how she knew it h…" | | 3 | "He set the folder on the nearest stack of Eva's books, between a treatise on ward-craft and a scroll that had unrolled itself in protest." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |