| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 44 | | tagDensity | 0.409 | | leniency | 0.818 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1315 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 58.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1315 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "traced" | | 1 | "footsteps" | | 2 | "weight" | | 3 | "silence" | | 4 | "comfortable" | | 5 | "shimmered" | | 6 | "fractured" | | 7 | "flickered" | | 8 | "tenderness" |
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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 | 62 | | matches | (empty) | |
| 96.77% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "managed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1315 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 39.26% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 903 | | uniqueNames | 10 | | maxNameDensity | 2.21 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 20 | | London | 1 | | Cathays | 1 | | Lambrini | 1 | | Silas | 3 | | Nia | 18 | | Raven | 1 | | Nest | 1 | | Cardiff | 3 | | Soho | 1 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Nia" | | 3 | "Raven" | | 4 | "Nest" |
| | places | | 0 | "London" | | 1 | "Cathays" | | 2 | "Cardiff" | | 3 | "Soho" |
| | globalScore | 0.393 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 3.042 | | wordCount | 1315 | | matches | | 0 | "Not the comfortable kind, but the kind" | | 1 | "not dramatically, not with a gasp or a curse, but with the quiet collapse of a woman who had believed she unde" | | 2 | "not with a gasp or a curse, but with the quiet collapse of a woman who had believed she unde" | | 3 | "not with whisky, but with the unbearable tenderness of a woman who finally unders" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 26.3 | | std | 17.99 | | cv | 0.684 | | sampleLengths | | 0 | 34 | | 1 | 10 | | 2 | 37 | | 3 | 1 | | 4 | 25 | | 5 | 27 | | 6 | 31 | | 7 | 57 | | 8 | 4 | | 9 | 22 | | 10 | 10 | | 11 | 42 | | 12 | 30 | | 13 | 30 | | 14 | 7 | | 15 | 12 | | 16 | 47 | | 17 | 10 | | 18 | 6 | | 19 | 10 | | 20 | 36 | | 21 | 41 | | 22 | 35 | | 23 | 4 | | 24 | 36 | | 25 | 52 | | 26 | 7 | | 27 | 16 | | 28 | 17 | | 29 | 6 | | 30 | 66 | | 31 | 27 | | 32 | 52 | | 33 | 4 | | 34 | 6 | | 35 | 41 | | 36 | 10 | | 37 | 23 | | 38 | 24 | | 39 | 46 | | 40 | 29 | | 41 | 51 | | 42 | 12 | | 43 | 13 | | 44 | 15 | | 45 | 47 | | 46 | 10 | | 47 | 14 | | 48 | 57 | | 49 | 66 |
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| 88.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 62 | | matches | | 0 | "were scarred" | | 1 | "been said" | | 2 | "being asked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 150 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 88 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 906 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.02097130242825607 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.00772626931567329 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 14.94 | | std | 12.2 | | cv | 0.817 | | sampleLengths | | 0 | 12 | | 1 | 22 | | 2 | 10 | | 3 | 2 | | 4 | 35 | | 5 | 1 | | 6 | 25 | | 7 | 23 | | 8 | 4 | | 9 | 31 | | 10 | 6 | | 11 | 23 | | 12 | 28 | | 13 | 4 | | 14 | 20 | | 15 | 2 | | 16 | 5 | | 17 | 5 | | 18 | 35 | | 19 | 7 | | 20 | 13 | | 21 | 17 | | 22 | 21 | | 23 | 9 | | 24 | 7 | | 25 | 5 | | 26 | 7 | | 27 | 12 | | 28 | 9 | | 29 | 26 | | 30 | 5 | | 31 | 5 | | 32 | 6 | | 33 | 10 | | 34 | 12 | | 35 | 24 | | 36 | 5 | | 37 | 22 | | 38 | 14 | | 39 | 3 | | 40 | 32 | | 41 | 4 | | 42 | 32 | | 43 | 4 | | 44 | 10 | | 45 | 8 | | 46 | 21 | | 47 | 13 | | 48 | 7 | | 49 | 16 |
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| 70.83% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4318181818181818 | | totalSentences | 88 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 55 | | matches | | 0 | "Then Nia's gaze dropped to" | | 1 | "Somewhere behind the bookshelf at" |
| | ratio | 0.036 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 55 | | matches | | 0 | "She caught the counter's edge" | | 1 | "She kept her face level" | | 2 | "She pulled her whisky closer" | | 3 | "She held up her hands," | | 4 | "She watched the light catch" | | 5 | "He settled back behind the" | | 6 | "Her mouth opened, then closed." | | 7 | "She traced her thumb along" | | 8 | "Their fingers brushed against the" | | 9 | "Her voice came thin" | | 10 | "she said, and her voice" |
| | ratio | 0.2 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 55 | | matches | | 0 | "The hand on Rory's shoulder" | | 1 | "She caught the counter's edge" | | 2 | "The voice dragged her back" | | 3 | "The woman grinned, and there" | | 4 | "Nia dropped onto the stool" | | 5 | "Silas polished a glass behind" | | 6 | "Rory studied the face beside" | | 7 | "The Nia she remembered had" | | 8 | "This woman wore her hair" | | 9 | "Nia accepted her whisky from" | | 10 | "Rory didn't lift her glass." | | 11 | "Nia drank, and her throat" | | 12 | "The name landed in Rory's" | | 13 | "She kept her face level" | | 14 | "Nia traced the rim of" | | 15 | "Nia's smile thinned" | | 16 | "The green neon sign above" | | 17 | "Rory set her glass down." | | 18 | "The gap between Nia's teeth" | | 19 | "She pulled her whisky closer" |
| | ratio | 0.909 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 6 | | matches | | 0 | "Silas polished a glass behind the counter, his hazel eyes flicking between them with the patience of a man who'd learned long ago that eavesdropping was part of…" | | 1 | "She pulled her whisky closer and turned it, mirroring the gesture Rory had made a moment before, an unconscious habit that told Rory everything." | | 2 | "She watched the light catch the small crescent scar on her left wrist, a relic from a childhood accident that had nothing to do with the scars on the woman besi…" | | 3 | "The gap between her teeth reappeared briefly, and for an instant she looked exactly like the girl who'd shared a braid and a bus pass in Cardiff, twenty years y…" | | 4 | "Not the comfortable kind, but the kind that fills a room after something has been said and cannot be taken back." | | 5 | "Then Nia's gaze dropped to Rory's wrist, to the crescent mark, and something in her expression fractured, not dramatically, not with a gasp or a curse, but with…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | 0 | "Nia continued (continue)" |
| | dialogueSentences | 44 | | tagDensity | 0.159 | | leniency | 0.318 | | rawRatio | 0.143 | | effectiveRatio | 0.045 | |