| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 1 | | adverbTags | | 0 | "Carys looked around [around]" |
| | dialogueSentences | 56 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.042 | | effectiveRatio | 0.036 | |
| 90.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1528 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 90.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1528 | | totalAiIsms | 3 | | found | | | highlights | | |
| 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 | 1 | | narrationSentences | 69 | | matches | | |
| 80.75% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 69 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 88 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1540 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 1184 | | uniqueNames | 13 | | maxNameDensity | 2.03 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Carys" | | discoveredNames | | Greek | 1 | | Street | 1 | | Rory | 24 | | Nest | 1 | | Tuesday | 1 | | Silas | 4 | | London | 1 | | Carys | 23 | | Nia | 1 | | Penarth | 1 | | Evan | 1 | | Bloomsbury | 1 | | Bar | 1 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Carys" | | 3 | "Nia" | | 4 | "Evan" |
| | places | | 0 | "Greek" | | 1 | "Street" | | 2 | "Nest" | | 3 | "London" | | 4 | "Penarth" | | 5 | "Bloomsbury" | | 6 | "Bar" |
| | globalScore | 0.486 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | 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 | 1540 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 26.55 | | std | 24.53 | | cv | 0.924 | | sampleLengths | | 0 | 74 | | 1 | 37 | | 2 | 7 | | 3 | 3 | | 4 | 8 | | 5 | 47 | | 6 | 28 | | 7 | 13 | | 8 | 74 | | 9 | 30 | | 10 | 28 | | 11 | 1 | | 12 | 29 | | 13 | 2 | | 14 | 8 | | 15 | 66 | | 16 | 6 | | 17 | 7 | | 18 | 28 | | 19 | 3 | | 20 | 57 | | 21 | 13 | | 22 | 17 | | 23 | 59 | | 24 | 50 | | 25 | 27 | | 26 | 5 | | 27 | 10 | | 28 | 11 | | 29 | 53 | | 30 | 8 | | 31 | 4 | | 32 | 35 | | 33 | 30 | | 34 | 10 | | 35 | 3 | | 36 | 10 | | 37 | 47 | | 38 | 15 | | 39 | 2 | | 40 | 34 | | 41 | 53 | | 42 | 55 | | 43 | 5 | | 44 | 4 | | 45 | 86 | | 46 | 88 | | 47 | 19 | | 48 | 32 | | 49 | 16 |
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| 95.09% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 69 | | matches | | 0 | "being asked" | | 1 | "been told" |
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| 67.99% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 202 | | matches | | 0 | "was fencing" | | 1 | "was working" | | 2 | "was staying" | | 3 | "was collecting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 101 | | ratio | 0.059 | | matches | | 0 | "\"Only the ones I like.\" He limped down the bar to serve a man who had been trying to catch his eye for some minutes, and Rory turned on her stool and let the room settle around her — the maps, the photographs, all those grey faces from somebody else's century, all that weather in black and white." | | 1 | "Her hair was up, her coat was expensive, and her face did something complicated — pleasure arriving and then getting held up at a checkpoint somewhere." | | 2 | "At twenty-one, Carys had finished every sentence she started; she'd once argued with a professor for eleven minutes about the burden of proof and won by not sitting down." | | 3 | "Rory felt the old reflex come up in her chest — the story, the whole polished machine of it, the part-time degree, the deferral, the things that were true in a technical sense and useless in every other." | | 4 | "Rory's thumb found the inside of her left wrist, the small crescent scar there, the old accident — a bicycle, the hedge, her father's hands washing gravel out of it under the kitchen tap." | | 5 | "The neon threw the whole doorway in green — Carys's coat, Carys's face, both of them about twenty-four years old and nineteen all at once." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1186 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.02866779089376054 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008431703204047217 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 15.25 | | std | 15.99 | | cv | 1.048 | | sampleLengths | | 0 | 35 | | 1 | 39 | | 2 | 5 | | 3 | 32 | | 4 | 7 | | 5 | 3 | | 6 | 8 | | 7 | 23 | | 8 | 24 | | 9 | 13 | | 10 | 7 | | 11 | 8 | | 12 | 6 | | 13 | 7 | | 14 | 58 | | 15 | 4 | | 16 | 12 | | 17 | 30 | | 18 | 8 | | 19 | 9 | | 20 | 11 | | 21 | 1 | | 22 | 3 | | 23 | 26 | | 24 | 2 | | 25 | 6 | | 26 | 2 | | 27 | 7 | | 28 | 59 | | 29 | 6 | | 30 | 7 | | 31 | 7 | | 32 | 21 | | 33 | 3 | | 34 | 30 | | 35 | 4 | | 36 | 16 | | 37 | 7 | | 38 | 7 | | 39 | 6 | | 40 | 17 | | 41 | 22 | | 42 | 5 | | 43 | 3 | | 44 | 29 | | 45 | 6 | | 46 | 33 | | 47 | 11 | | 48 | 5 | | 49 | 22 |
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| 72.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4752475247524752 | | totalSentences | 101 | | uniqueOpeners | 48 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 61 | | matches | | 0 | "Then Carys shut the umbrella," | | 1 | "Then she went off down" |
| | ratio | 0.033 | |
| 95.41% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 61 | | matches | | 0 | "She shook off at the" | | 1 | "She drank half of it" | | 2 | "He limped down the bar" | | 3 | "She liked it here." | | 4 | "It was the only room" | | 5 | "Her hair was up, her" | | 6 | "She watched Carys's hands." | | 7 | "She didn't finish the sentence." | | 8 | "She could have said something" | | 9 | "She wasn't aware she did" | | 10 | "It was just where her" | | 11 | "She smiled at Carys, and" | | 12 | "she gestured at the bar," | | 13 | "They sat with that." | | 14 | "They talked about the professor," | | 15 | "They did not talk about" | | 16 | "She said it too fast" | | 17 | "He nodded slowly, and wiped" | | 18 | "He had maps on his" |
| | ratio | 0.311 | |
| 50.16% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 61 | | matches | | 0 | "Rain had followed her the" | | 1 | "She shook off at the" | | 2 | "The Tuesday crowd was thin." | | 3 | "Rory swung the bag onto" | | 4 | "Silas set a glass of" | | 5 | "The silver signet ring caught" | | 6 | "She drank half of it" | | 7 | "He limped down the bar" | | 8 | "She liked it here." | | 9 | "It was the only room" | | 10 | "The door opened and the" | | 11 | "Rory knew her before she" | | 12 | "The way she held the" | | 13 | "That awkward, arm's-length way, like" | | 14 | "Carys looked up." | | 15 | "Her hair was up, her" | | 16 | "Rory raised the water glass" | | 17 | "Carys said, stepping back" | | 18 | "Rory knew it was five" | | 19 | "Carys looked around" |
| | ratio | 0.82 | |
| 81.97% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 61 | | matches | | 0 | "Either married or recently and" |
| | ratio | 0.016 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 8 | | matches | | 0 | "Two men at the far end arguing quietly about football, a woman reading a paperback with her finger marking the line, Silas behind the bar polishing a glass that…" | | 1 | "She could have said something brisk and funny and moved the conversation to safer ground, which was a thing she was very good at now, better than she'd ever bee…" | | 2 | "Rory felt the old reflex come up in her chest — the story, the whole polished machine of it, the part-time degree, the deferral, the things that were true in a …" | | 3 | "Carys finished the wine and Rory had another water because she was working in the morning, and they talked about Nia, who had two children and a house in Penart…" | | 4 | "They did not talk about Evan, and Carys did not ask again, and Rory was grateful in a way that sat alongside the resentment like two drinks on the same tray." | | 5 | "Around eleven Carys looked at her watch and said she had a train, and then said she'd get a cab, and then said she'd walk, it wasn't far, she was staying at the…" | | 6 | "Then she went off down the street with her umbrella tilted into the nothing-weather of a city that had stopped raining ten minutes ago, and Rory stood under the…" | | 7 | "He had maps on his walls of countries that didn't exist any more and he knew better than most that a person is the same and not the same, that you can leave a r…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 56 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0 | | effectiveRatio | 0 | |