| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "She turned back [back]" |
| | dialogueSentences | 31 | | tagDensity | 0.484 | | leniency | 0.968 | | rawRatio | 0.067 | | effectiveRatio | 0.065 | |
| 69.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 969 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "very" | | 1 | "completely" | | 2 | "loosely" | | 3 | "quickly" |
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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) | |
| 79.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 969 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "calculated" |
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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 | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 981 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 858 | | uniqueNames | 9 | | maxNameDensity | 0.82 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Brick | 1 | | Lane | 1 | | Eva | 5 | | Edinburgh | 1 | | Ptolemy | 4 | | Rory | 7 | | Shoreditch | 1 | | Lucien | 4 | | Started | 1 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Rory" | | 3 | "Lucien" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Edinburgh" |
| | 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 | 981 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 21.33 | | std | 18.7 | | cv | 0.877 | | sampleLengths | | 0 | 62 | | 1 | 3 | | 2 | 11 | | 3 | 39 | | 4 | 1 | | 5 | 23 | | 6 | 20 | | 7 | 58 | | 8 | 1 | | 9 | 13 | | 10 | 16 | | 11 | 50 | | 12 | 4 | | 13 | 28 | | 14 | 3 | | 15 | 63 | | 16 | 7 | | 17 | 24 | | 18 | 4 | | 19 | 2 | | 20 | 51 | | 21 | 8 | | 22 | 4 | | 23 | 29 | | 24 | 35 | | 25 | 6 | | 26 | 19 | | 27 | 9 | | 28 | 10 | | 29 | 45 | | 30 | 13 | | 31 | 46 | | 32 | 11 | | 33 | 2 | | 34 | 19 | | 35 | 31 | | 36 | 7 | | 37 | 1 | | 38 | 26 | | 39 | 42 | | 40 | 18 | | 41 | 3 | | 42 | 10 | | 43 | 45 | | 44 | 53 | | 45 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 131 | | matches | | 0 | "was watching" | | 1 | "was standing" | | 2 | "was looking" | | 3 | "was closing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 82 | | ratio | 0.11 | | matches | | 0 | "Rory looked up from the notes she'd spread across Eva's kitchen table — borrowed space while Eva was in Edinburgh for the week — and listened." | | 1 | "Then she worked through the three deadbolts — Eva's paranoid installation, top to bottom — and pulled the door open." | | 2 | "His mismatched eyes — amber and absolute black — moved over her with that particular efficiency of his, cataloguing, before they settled on her face." | | 3 | "The smell of the curry house drifted up the stairwell — turmeric, fenugreek, the ghost of a long evening service." | | 4 | "He moved through the doorway and his eyes swept the flat the way they always swept any room — exits, surfaces, occupants." | | 5 | "It gave nothing away and it never had, except that she'd learned — over months, then absence, then the specific silence after Shoreditch — that the neutrality itself was information." | | 6 | "The notes were between them — Eva's handwriting and Rory's, two different kinds of chaos overlapping." | | 7 | "The amber eye and the black eye held equal weight when he looked at her like that — no hierarchy between them, no deflection." | | 8 | "Rory looked at the man across the table — the careful construction of him, suit and cane and fluency in four languages and the particular loneliness she recognised because she knew its shape from the inside — and felt the months of silence rearrange themselves into something she hadn't let herself name before." |
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| 92.59% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 846 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.04846335697399527 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.014184397163120567 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 11.96 | | std | 9.7 | | cv | 0.811 | | sampleLengths | | 0 | 20 | | 1 | 26 | | 2 | 16 | | 3 | 3 | | 4 | 11 | | 5 | 26 | | 6 | 13 | | 7 | 1 | | 8 | 23 | | 9 | 20 | | 10 | 19 | | 11 | 14 | | 12 | 25 | | 13 | 1 | | 14 | 6 | | 15 | 7 | | 16 | 12 | | 17 | 4 | | 18 | 9 | | 19 | 20 | | 20 | 21 | | 21 | 4 | | 22 | 28 | | 23 | 3 | | 24 | 22 | | 25 | 34 | | 26 | 7 | | 27 | 4 | | 28 | 3 | | 29 | 10 | | 30 | 8 | | 31 | 6 | | 32 | 4 | | 33 | 2 | | 34 | 3 | | 35 | 18 | | 36 | 30 | | 37 | 8 | | 38 | 4 | | 39 | 28 | | 40 | 1 | | 41 | 4 | | 42 | 31 | | 43 | 6 | | 44 | 18 | | 45 | 1 | | 46 | 9 | | 47 | 5 | | 48 | 5 | | 49 | 9 |
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| 52.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.36585365853658536 | | totalSentences | 82 | | uniqueOpeners | 30 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 55 | | matches | | 0 | "Then she worked through the" | | 1 | "Just him, the real version" | | 2 | "Somewhere below them, the curry" |
| | ratio | 0.055 | |
| 1.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 55 | | matches | | 0 | "She crossed the room and" | | 1 | "She recognised the line of" | | 2 | "She held very still for" | | 3 | "He looked, as he always" | | 4 | "His mismatched eyes — amber" | | 5 | "He reached down and retrieved" | | 6 | "She leaned against the doorframe" | | 7 | "He didn't elaborate, and he" | | 8 | "She stepped back." | | 9 | "He moved through the doorway" | | 10 | "He took in the tower" | | 11 | "He said nothing about any" | | 12 | "She shut the door." | | 13 | "she said, moving past him" | | 14 | "She needed something to do" | | 15 | "She turned around." | | 16 | "He was still standing near" | | 17 | "It gave nothing away and" | | 18 | "She turned back to the" | | 19 | "It wasn't an offer." |
| | ratio | 0.545 | |
| 14.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 55 | | matches | | 0 | "The knock came at half" | | 1 | "Rory looked up from the" | | 2 | "Ptolemy lifted his head from" | | 3 | "She crossed the room and" | | 4 | "The distorted fish-eye view gave" | | 5 | "She recognised the line of" | | 6 | "She held very still for" | | 7 | "He looked, as he always" | | 8 | "The charcoal suit was immaculate" | | 9 | "His mismatched eyes — amber" | | 10 | "He reached down and retrieved" | | 11 | "She leaned against the doorframe" | | 12 | "The smell of the curry" | | 13 | "He didn't elaborate, and he" | | 14 | "She stepped back." | | 15 | "He moved through the doorway" | | 16 | "He took in the tower" | | 17 | "He said nothing about any" | | 18 | "She shut the door." | | 19 | "she said, moving past him" |
| | ratio | 0.891 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 5 | | matches | | 0 | "The knock came at half past ten, three sharp raps that cut through the low hum of Brick Lane below." | | 1 | "She held very still for a moment, one hand flat against the door, as if it were a living thing she was calming." | | 2 | "He looked, as he always looked, like something that had wandered in from a different and more expensive century." | | 3 | "He accepted it anyway by pulling out a chair at the kitchen table, moving her notes aside with the kind of care that suggested he'd actually read them before to…" | | 4 | "Somewhere below them, the curry house was closing up, the last of its noise filtering up through the floorboards." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 31 | | tagDensity | 0.258 | | leniency | 0.516 | | rawRatio | 0 | | effectiveRatio | 0 | |