| 90.91% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 3 | | adverbTags | | 0 | "He moved back [back]" | | 1 | "Niamh stepped back [back]" | | 2 | "she said again [again]" |
| | dialogueSentences | 55 | | tagDensity | 0.345 | | leniency | 0.691 | | rawRatio | 0.158 | | effectiveRatio | 0.109 | |
| 80.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1048 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "slightly" | | 1 | "quickly" | | 2 | "deliberately" | | 3 | "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) | |
| 76.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1048 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "anticipation" | | 1 | "scanning" | | 2 | "silence" | | 3 | "resolved" | | 4 | "weight" |
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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 | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1052 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 800 | | uniqueNames | 13 | | maxNameDensity | 2.25 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Niamh" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | Rory | 18 | | Embankment | 1 | | Soho | 1 | | Silas | 4 | | Niamh | 18 | | Walsh | 1 | | Cork | 1 | | Picked | 1 | | Crwys | 1 | | Road | 1 |
| | persons | | 0 | "Raven" | | 1 | "Rory" | | 2 | "Silas" | | 3 | "Niamh" | | 4 | "Walsh" | | 5 | "Picked" |
| | places | | 0 | "Soho" | | 1 | "Cork" | | 2 | "Crwys" | | 3 | "Road" |
| | globalScore | 0.375 | | windowScore | 0 | |
| 90.48% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 1 | | matches | | 0 | "quite because they'd always had that — the ability to sit in silence without it meaning anything bad" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.951 | | wordCount | 1052 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 98 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 18.14 | | std | 23.07 | | cv | 1.272 | | sampleLengths | | 0 | 14 | | 1 | 112 | | 2 | 49 | | 3 | 23 | | 4 | 3 | | 5 | 12 | | 6 | 94 | | 7 | 3 | | 8 | 7 | | 9 | 8 | | 10 | 68 | | 11 | 6 | | 12 | 58 | | 13 | 5 | | 14 | 2 | | 15 | 9 | | 16 | 1 | | 17 | 6 | | 18 | 6 | | 19 | 8 | | 20 | 22 | | 21 | 6 | | 22 | 65 | | 23 | 16 | | 24 | 4 | | 25 | 3 | | 26 | 5 | | 27 | 4 | | 28 | 24 | | 29 | 8 | | 30 | 9 | | 31 | 2 | | 32 | 30 | | 33 | 17 | | 34 | 3 | | 35 | 4 | | 36 | 19 | | 37 | 30 | | 38 | 7 | | 39 | 26 | | 40 | 4 | | 41 | 7 | | 42 | 5 | | 43 | 36 | | 44 | 63 | | 45 | 9 | | 46 | 3 | | 47 | 23 | | 48 | 2 | | 49 | 3 |
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| 88.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 63 | | matches | | 0 | "were tucked" | | 1 | "being asked" | | 2 | "being surprised" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 133 | | matches | | 0 | "was hanging" | | 1 | "were arguing" | | 2 | "was reading" | | 3 | "were looking" |
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| 26.24% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 98 | | ratio | 0.041 | | matches | | 0 | "Rory didn't look up immediately — she was reading a smudged receipt she'd found in her jacket pocket, trying to determine if it was hers — but the woman who came in was tall enough to pull the eye." | | 1 | "But her hair was short now, cropped close on one side, and there was something in the way she held herself — careful, deliberate — that hadn't been there at eighteen." | | 2 | "For a moment neither of them spoke, which should have been uncomfortable and wasn't quite, because they'd always had that — the ability to sit in silence without it meaning anything bad." | | 3 | "Niamh laughed — a real laugh, short and sudden — and for a moment she looked exactly like herself at twenty, sitting in the kitchen of their student house on Crwys Road, and it was fine." |
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| 93.18% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 795 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.04779874213836478 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.01761006289308176 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 10.73 | | std | 10.4 | | cv | 0.969 | | sampleLengths | | 0 | 8 | | 1 | 6 | | 2 | 37 | | 3 | 52 | | 4 | 23 | | 5 | 13 | | 6 | 21 | | 7 | 15 | | 8 | 23 | | 9 | 3 | | 10 | 12 | | 11 | 3 | | 12 | 7 | | 13 | 39 | | 14 | 45 | | 15 | 3 | | 16 | 7 | | 17 | 8 | | 18 | 16 | | 19 | 5 | | 20 | 16 | | 21 | 31 | | 22 | 6 | | 23 | 22 | | 24 | 36 | | 25 | 5 | | 26 | 2 | | 27 | 7 | | 28 | 2 | | 29 | 1 | | 30 | 6 | | 31 | 6 | | 32 | 5 | | 33 | 2 | | 34 | 1 | | 35 | 19 | | 36 | 3 | | 37 | 5 | | 38 | 1 | | 39 | 13 | | 40 | 12 | | 41 | 32 | | 42 | 8 | | 43 | 16 | | 44 | 4 | | 45 | 3 | | 46 | 5 | | 47 | 4 | | 48 | 19 | | 49 | 2 |
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| 62.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.42857142857142855 | | totalSentences | 98 | | uniqueOpeners | 42 | |
| 60.61% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 55 | | matches | | 0 | "Then Niamh made a small," |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 55 | | matches | | 0 | "She sat at the far" | | 1 | "She wanted the low lighting" | | 2 | "He moved back along the" | | 3 | "She stood just inside the" | | 4 | "She was different and the" | | 5 | "She looked at Rory properly" | | 6 | "They took the corner of" | | 7 | "She said it without defensiveness" | | 8 | "Her shoulder dropped half an" | | 9 | "she said again, more slowly" | | 10 | "He had an extraordinary capacity" | | 11 | "She looked down at her" |
| | ratio | 0.218 | |
| 23.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 55 | | matches | | 0 | "The Raven's Nest was quiet" | | 1 | "That was why Rory liked" | | 2 | "She sat at the far" | | 3 | "The last run of the" | | 4 | "She wanted the low lighting" | | 5 | "The handful of other patrons" | | 6 | "A couple near the window" | | 7 | "The jazz coming through the" | | 8 | "Silas set a fresh glass" | | 9 | "He moved back along the" | | 10 | "The door opened." | | 11 | "Rory didn't look up immediately" | | 12 | "She stood just inside the" | | 13 | "Rory looked up." | | 14 | "The receipt fell out of" | | 15 | "the woman said, from across" | | 16 | "She was different and the" | | 17 | "The cheekbones were the same." | | 18 | "The slight asymmetry of her" | | 19 | "Rory got off the stool" |
| | ratio | 0.873 | |
| 90.91% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 55 | | matches | | 0 | "Though Rory wasn't certain, anymore," |
| | ratio | 0.018 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 3 | | matches | | 0 | "A couple near the window were arguing about something with the careful restraint of people who knew they were in public." | | 1 | "Rory didn't look up immediately — she was reading a smudged receipt she'd found in her jacket pocket, trying to determine if it was hers — but the woman who cam…" | | 2 | "She was different and the same in a way that made Rory's chest do something involuntary." |
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| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 55 | | tagDensity | 0.145 | | leniency | 0.291 | | rawRatio | 0 | | effectiveRatio | 0 | |