| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 2 | | adverbTags | | 0 | "Gwen's voice cracked just [just]" | | 1 | "she said finally [finally]" |
| | dialogueSentences | 72 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.083 | | effectiveRatio | 0.056 | |
| 62.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1608 | | totalAiIsmAdverbs | 12 | | found | | | highlights | | 0 | "very" | | 1 | "really" | | 2 | "lightly" | | 3 | "quickly" | | 4 | "sharply" | | 5 | "slightly" | | 6 | "slowly" |
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| 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) | |
| 84.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1608 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "electric" | | 1 | "weight" | | 2 | "familiar" | | 3 | "silence" |
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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 | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 122 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 90 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1608 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 30 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 930 | | uniqueNames | 11 | | maxNameDensity | 2.04 | | worstName | "Gwen" | | maxWindowNameDensity | 4 | | worstWindowName | "Gwen" | | discoveredNames | | Rory | 16 | | Nest | 1 | | Greek | 1 | | Street | 1 | | Gwen | 19 | | Prague | 1 | | Cardiff | 1 | | Silas | 3 | | Lisbon | 1 | | Tagus | 1 | | Soho | 1 |
| | persons | | | places | | 0 | "Greek" | | 1 | "Street" | | 2 | "Prague" | | 3 | "Cardiff" | | 4 | "Lisbon" | | 5 | "Soho" |
| | globalScore | 0.478 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "as though reading the thought" |
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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 | 1608 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 122 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 26.36 | | std | 28.22 | | cv | 1.071 | | sampleLengths | | 0 | 92 | | 1 | 46 | | 2 | 2 | | 3 | 34 | | 4 | 3 | | 5 | 32 | | 6 | 2 | | 7 | 86 | | 8 | 3 | | 9 | 29 | | 10 | 6 | | 11 | 42 | | 12 | 45 | | 13 | 5 | | 14 | 72 | | 15 | 7 | | 16 | 2 | | 17 | 1 | | 18 | 14 | | 19 | 8 | | 20 | 44 | | 21 | 10 | | 22 | 39 | | 23 | 94 | | 24 | 58 | | 25 | 9 | | 26 | 6 | | 27 | 3 | | 28 | 40 | | 29 | 2 | | 30 | 2 | | 31 | 26 | | 32 | 1 | | 33 | 25 | | 34 | 3 | | 35 | 4 | | 36 | 109 | | 37 | 5 | | 38 | 18 | | 39 | 43 | | 40 | 8 | | 41 | 92 | | 42 | 1 | | 43 | 9 | | 44 | 51 | | 45 | 4 | | 46 | 11 | | 47 | 51 | | 48 | 7 | | 49 | 1 |
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| 86.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 75 | | matches | | 0 | "been rained" | | 1 | "was supposed" | | 2 | "was composed" | | 3 | "being asked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 156 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 122 | | ratio | 0 | | matches | (empty) | |
| 85.57% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 935 | | adjectiveStacks | 2 | | stackExamples | | 0 | "usual wet-electric hum," | | 1 | "slow, absent-minded care" |
| | adverbCount | 40 | | adverbRatio | 0.0427807486631016 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.014973262032085561 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 122 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 122 | | mean | 13.18 | | std | 12.55 | | cv | 0.952 | | sampleLengths | | 0 | 28 | | 1 | 8 | | 2 | 23 | | 3 | 13 | | 4 | 20 | | 5 | 28 | | 6 | 8 | | 7 | 10 | | 8 | 2 | | 9 | 27 | | 10 | 7 | | 11 | 3 | | 12 | 23 | | 13 | 9 | | 14 | 2 | | 15 | 18 | | 16 | 43 | | 17 | 5 | | 18 | 8 | | 19 | 12 | | 20 | 3 | | 21 | 5 | | 22 | 9 | | 23 | 9 | | 24 | 6 | | 25 | 6 | | 26 | 22 | | 27 | 14 | | 28 | 6 | | 29 | 2 | | 30 | 18 | | 31 | 25 | | 32 | 5 | | 33 | 9 | | 34 | 54 | | 35 | 9 | | 36 | 7 | | 37 | 2 | | 38 | 1 | | 39 | 14 | | 40 | 4 | | 41 | 4 | | 42 | 9 | | 43 | 35 | | 44 | 10 | | 45 | 8 | | 46 | 2 | | 47 | 29 | | 48 | 3 | | 49 | 24 |
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| 57.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.4016393442622951 | | totalSentences | 122 | | uniqueOpeners | 49 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 67 | | matches | | 0 | "Instead she stopped at the" | | 1 | "Only the hands were familiar." | | 2 | "Then she put the glass" | | 3 | "Then she lifted the wine" |
| | ratio | 0.06 | |
| 88.66% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 67 | | matches | | 0 | "She had meant to go" | | 1 | "He tipped his chin toward" | | 2 | "He shifted his weight off" | | 3 | "She wore a charcoal coat" | | 4 | "They turned the stem of" | | 5 | "It landed like a coin" | | 6 | "She set the delivery bag" | | 7 | "She glanced up at the" | | 8 | "They both laughed, briefly, and" | | 9 | "She said it lightly" | | 10 | "She thought of the flat" | | 11 | "She thought of Cardiff, of" | | 12 | "She drew a breath" | | 13 | "It was not the absence" | | 14 | "It was a wall built" | | 15 | "She said it slowly, testing" | | 16 | "She got as far as" | | 17 | "She wondered whether either of" | | 18 | "she said finally" | | 19 | "She stopped, embarrassed" |
| | ratio | 0.328 | |
| 42.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 67 | | matches | | 0 | "The delivery bag was still" | | 1 | "Rain had plastered her hair" | | 2 | "She had meant to go" | | 3 | "Silas was polishing a glass" | | 4 | "He tipped his chin toward" | | 5 | "The silver signet ring flashed" | | 6 | "He shifted his weight off" | | 7 | "The woman at the table" | | 8 | "She wore a charcoal coat" | | 9 | "They turned the stem of" | | 10 | "Gwen's face did something complicated." | | 11 | "Nobody had called her that" | | 12 | "It landed like a coin" | | 13 | "Gwen smiled, and it was" | | 14 | "The old one had been" | | 15 | "She set the delivery bag" | | 16 | "Gwen turned the glass again" | | 17 | "She glanced up at the" | | 18 | "They both laughed, briefly, and" | | 19 | "Gwen looked at her own" |
| | ratio | 0.836 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 37.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 4 | | matches | | 0 | "Silas was polishing a glass with the slow, absent-minded care of a man who had once polished other things: ledgers, lies, the edges of a good cover story." | | 1 | "She wore a charcoal coat that had never been rained on in its life, and her hair, once a shifting riot of magenta and bleach and whatever had been in the bathro…" | | 2 | "She thought of the flat above the bar, the narrow bed, the single window that looked out on a brick wall and a drainpipe." | | 3 | "Gwen had been beside her then, drawing tiny monsters in the margins of her notes, whispering commentary on the lecturer's toupée." |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 2 | | matches | | 0 | "Gwen said, as though reading the thought" | | 1 | "She stopped, embarrassed" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 2 | | fancyTags | | 0 | "Rory's thumb found (find)" | | 1 | "Gwen pressed (press)" |
| | dialogueSentences | 72 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.167 | | effectiveRatio | 0.056 | |