| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "Aurora stood too [too]" | | 1 | "Megan said quietly [quietly]" |
| | dialogueSentences | 66 | | tagDensity | 0.303 | | leniency | 0.606 | | rawRatio | 0.1 | | effectiveRatio | 0.061 | |
| 89.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1374 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "quickly" | | 1 | "lightly" | | 2 | "slowly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 78.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1374 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "resolved" | | 1 | "flickered" | | 2 | "lurch" | | 3 | "silence" | | 4 | "tension" | | 5 | "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 | 68 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 68 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 65 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 14 | | totalWords | 1383 | | ratio | 0.01 | | matches | | 0 | "here" | | 1 | "it is Tuesday" | | 2 | "Blasted" | | 3 | "The Plays" | | 4 | "Quieter." | | 5 | "happy" | | 6 | "we should do this again" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 956 | | uniqueNames | 14 | | maxNameDensity | 2.3 | | worstName | "Megan" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Megan" | | discoveredNames | | Raven | 2 | | Aurora | 21 | | Silas | 4 | | Nest | 2 | | Evan | 1 | | Cathays | 1 | | Terrace | 1 | | Megan | 22 | | Bute | 1 | | Park | 1 | | Tuesday | 2 | | Pre-Law | 1 | | Cardiff | 1 | | Facebook | 1 |
| | persons | | 0 | "Raven" | | 1 | "Aurora" | | 2 | "Silas" | | 3 | "Evan" | | 4 | "Megan" |
| | places | | 0 | "Cathays" | | 1 | "Terrace" | | 2 | "Bute" | | 3 | "Park" | | 4 | "Cardiff" |
| | globalScore | 0.349 | | windowScore | 0.167 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 3 | | matches | | 0 | "as if taking inventory of its unlikelihood" | | 1 | "not quite reach her eyes" | | 2 | "t was already, visibly, not the sort of th" |
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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 | 1383 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 113 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 22.31 | | std | 24.2 | | cv | 1.085 | | sampleLengths | | 0 | 128 | | 1 | 47 | | 2 | 2 | | 3 | 67 | | 4 | 11 | | 5 | 15 | | 6 | 39 | | 7 | 18 | | 8 | 49 | | 9 | 3 | | 10 | 55 | | 11 | 7 | | 12 | 11 | | 13 | 24 | | 14 | 26 | | 15 | 3 | | 16 | 2 | | 17 | 71 | | 18 | 29 | | 19 | 8 | | 20 | 3 | | 21 | 3 | | 22 | 14 | | 23 | 11 | | 24 | 34 | | 25 | 38 | | 26 | 3 | | 27 | 31 | | 28 | 2 | | 29 | 15 | | 30 | 2 | | 31 | 53 | | 32 | 19 | | 33 | 4 | | 34 | 37 | | 35 | 30 | | 36 | 2 | | 37 | 1 | | 38 | 39 | | 39 | 1 | | 40 | 15 | | 41 | 6 | | 42 | 20 | | 43 | 2 | | 44 | 4 | | 45 | 8 | | 46 | 5 | | 47 | 65 | | 48 | 24 | | 49 | 7 |
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| 94.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 68 | | matches | | 0 | "been made" | | 1 | "being asked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 171 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 4 | | flaggedSentences | 7 | | totalSentences | 113 | | ratio | 0.062 | | matches | | 0 | "Tuesday at the Nest was always thin — a few regulars hunched over pints, the jukebox quiet, the old maps on the walls yellowing another incremental inch toward oblivion." | | 1 | "Aurora did not turn; she had trained herself, since Evan, not to turn at doors." | | 2 | "\"Megan.\" Aurora stood too quickly; the stool scraped." | | 3 | "Even the way she sat — knees together, back straight — had the patience of a person who had learned to be photographed." | | 4 | "She saw Megan's eyes flick to it and flick away, and remembered, with a small internal lurch, that Megan had been there the afternoon she got it — the garden wall at Bute Park, the broken bottle, Megan running for her mother because Aurora, eight years old and stoic, had refused to cry." | | 5 | "The bar light did her no favours; it showed the fine grain of tiredness under the makeup, a tension at the corner of the mouth that had not been there at twenty-one." | | 6 | "She gathered her coat with the same care she had taken setting it down, and at the door she turned, and Aurora raised a hand, and Megan raised hers, and neither of them said *we should do this again*, because it was already, visibly, not the sort of thing they would do again; it had been a weather event, a door opening in the rain." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 675 | | adjectiveStacks | 1 | | stackExamples | | 0 | "Tall, rain-speckled camel" |
| | adverbCount | 19 | | adverbRatio | 0.028148148148148148 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.007407407407407408 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 12.24 | | std | 11.78 | | cv | 0.963 | | sampleLengths | | 0 | 21 | | 1 | 39 | | 2 | 34 | | 3 | 5 | | 4 | 29 | | 5 | 11 | | 6 | 15 | | 7 | 21 | | 8 | 2 | | 9 | 9 | | 10 | 15 | | 11 | 8 | | 12 | 35 | | 13 | 8 | | 14 | 3 | | 15 | 15 | | 16 | 15 | | 17 | 13 | | 18 | 11 | | 19 | 4 | | 20 | 14 | | 21 | 12 | | 22 | 30 | | 23 | 7 | | 24 | 3 | | 25 | 26 | | 26 | 6 | | 27 | 23 | | 28 | 6 | | 29 | 1 | | 30 | 11 | | 31 | 24 | | 32 | 17 | | 33 | 9 | | 34 | 3 | | 35 | 2 | | 36 | 7 | | 37 | 11 | | 38 | 53 | | 39 | 6 | | 40 | 23 | | 41 | 5 | | 42 | 3 | | 43 | 3 | | 44 | 3 | | 45 | 14 | | 46 | 6 | | 47 | 5 | | 48 | 2 | | 49 | 4 |
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| 76.99% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.504424778761062 | | totalSentences | 113 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 55 | | matches | | 0 | "Then the mouth resolved itself" | | 1 | "Even the way she sat" | | 2 | "Instead she asked," | | 3 | "Then the laugh guttered out" | | 4 | "Of course, the train." |
| | ratio | 0.091 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 55 | | matches | | 0 | "She was three sips into" | | 1 | "He was down the far" | | 2 | "They embraced the way people" | | 3 | "He set the bottle down" | | 4 | "She saw Megan's eyes flick" | | 5 | "She did not answer." | | 6 | "She said it the way" | | 7 | "She said it lightly" | | 8 | "She had not rung Megan" | | 9 | "She had read about it" | | 10 | "She never wrote the card." | | 11 | "They sat with that for" | | 12 | "She lifted her glass" | | 13 | "She gathered her coat with" | | 14 | "He nodded, and did not" |
| | ratio | 0.273 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 55 | | matches | | 0 | "The green neon of the" | | 1 | "She was three sips into" | | 2 | "He was down the far" | | 3 | "Aurora watched the rain instead." | | 4 | "Tuesday at the Nest was" | | 5 | "The door opened, letting in" | | 6 | "Aurora did not turn; she" | | 7 | "Hair cut sharp at the" | | 8 | "Aurora stood too quickly; the" | | 9 | "Megan said, and the smile" | | 10 | "They embraced the way people" | | 11 | "Megan smelled of something green" | | 12 | "The old Megan had smelled" | | 13 | "Megan glanced around the bar" | | 14 | "Megan slid onto the stool" | | 15 | "Everything about her was careful" | | 16 | "Silas appeared without appearing to" | | 17 | "He set the bottle down" | | 18 | "Megan said, and turned to" | | 19 | "Aurora wrapped her hand around" |
| | ratio | 0.8 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 3 | | matches | | 0 | "He was down the far end of the bar now, polishing a glass with the absent competence of a man who had spent his life pretending to do something innocuous while …" | | 1 | "Megan laughed, and this time it was the old laugh, rough at the edges, and for an instant Aurora could see the girl who had sat cross-legged on her dormitory fl…" | | 2 | "The bar light did her no favours; it showed the fine grain of tiredness under the makeup, a tension at the corner of the mouth that had not been there at twenty…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 1 | | matches | | 0 | "Megan said, and the smile flickered, and she opened her arms" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 66 | | tagDensity | 0.227 | | leniency | 0.455 | | rawRatio | 0.067 | | effectiveRatio | 0.03 | |