| 43.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 4 | | adverbTags | | 0 | "Rory said quickly [quickly]" | | 1 | "Carys said finally [finally]" | | 2 | "Carys said quietly [quietly]" | | 3 | "Rory said finally [finally]" |
| | dialogueSentences | 51 | | tagDensity | 0.49 | | leniency | 0.98 | | rawRatio | 0.16 | | effectiveRatio | 0.157 | |
| 97.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1851 | | totalAiIsmAdverbs | 1 | | 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) | |
| 89.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1851 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "tension" | | 1 | "tracing" | | 2 | "silence" | | 3 | "unspoken" |
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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 | 1 | | narrationSentences | 122 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 122 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 148 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1851 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 30 | | unquotedAttributions | 1 | | matches | | 0 | "Cool-headed, she told herself." |
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| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 96 | | wordCount | 1427 | | uniqueNames | 24 | | maxNameDensity | 2.17 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | Nest | 2 | | Greek | 1 | | Street | 1 | | Golden | 2 | | Empress | 2 | | Raven | 1 | | Tuesday | 1 | | Silas | 8 | | London | 1 | | Rory | 31 | | Cardiff | 3 | | University | 2 | | Cathays | 1 | | Lewis | 1 | | Carys | 25 | | Underneath | 1 | | Brendan | 2 | | Carter | 2 | | Berlin | 1 | | Evan | 4 | | Jennifer | 1 | | Ellis | 1 | | Am | 1 | | Soho | 1 |
| | persons | | 0 | "Nest" | | 1 | "Raven" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Lewis" | | 5 | "Carys" | | 6 | "Brendan" | | 7 | "Carter" | | 8 | "Evan" | | 9 | "Jennifer" | | 10 | "Ellis" |
| | places | | 0 | "Greek" | | 1 | "Street" | | 2 | "Golden" | | 3 | "London" | | 4 | "Cardiff" | | 5 | "Cathays" | | 6 | "Berlin" | | 7 | "Soho" |
| | globalScore | 0.414 | | windowScore | 0.167 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 6 | | matches | | 0 | "looked like they knew things they wouldn'" | | 1 | "smelled like lemon oil and old beer" | | 2 | "smelled like good perfume and rain" | | 3 | "felt like a correction on a record" | | 4 | "looked like she belonged in the courtroom" | | 5 | "looked like Brendan Carter's daughter was" |
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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 | 1851 | | matches | (empty) | |
| 76.58% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 4 | | totalSentences | 148 | | matches | | 0 | "up that way" | | 1 | "watched that bookshelf" | | 2 | "knew that voice" | | 3 | "like that, the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 27.63 | | std | 24.68 | | cv | 0.893 | | sampleLengths | | 0 | 15 | | 1 | 101 | | 2 | 16 | | 3 | 57 | | 4 | 53 | | 5 | 4 | | 6 | 22 | | 7 | 10 | | 8 | 2 | | 9 | 70 | | 10 | 25 | | 11 | 46 | | 12 | 6 | | 13 | 49 | | 14 | 8 | | 15 | 3 | | 16 | 54 | | 17 | 2 | | 18 | 75 | | 19 | 1 | | 20 | 39 | | 21 | 30 | | 22 | 54 | | 23 | 29 | | 24 | 24 | | 25 | 8 | | 26 | 5 | | 27 | 51 | | 28 | 3 | | 29 | 43 | | 30 | 10 | | 31 | 6 | | 32 | 22 | | 33 | 9 | | 34 | 48 | | 35 | 15 | | 36 | 13 | | 37 | 43 | | 38 | 5 | | 39 | 12 | | 40 | 10 | | 41 | 39 | | 42 | 23 | | 43 | 17 | | 44 | 55 | | 45 | 11 | | 46 | 6 | | 47 | 4 | | 48 | 125 | | 49 | 12 |
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| 90.88% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 122 | | matches | | 0 | "been, crowded" | | 1 | "were supposed" | | 2 | "was supposed" | | 3 | "was supposed" | | 4 | "was surprised" |
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| 50.19% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 267 | | matches | | 0 | "was not going" | | 1 | "were drinking" | | 2 | "was shaking" | | 3 | "was always falling" | | 4 | "was just standing" | | 5 | "was doing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 148 | | ratio | 0.007 | | matches | | 0 | "She'd been a debater; she always needed the logic to hold." |
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| 93.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1434 | | adjectiveStacks | 1 | | stackExamples | | 0 | "faint yellow-green shadow" |
| | adverbCount | 59 | | adverbRatio | 0.041143654114365415 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.011854951185495118 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 148 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 148 | | mean | 12.51 | | std | 9.6 | | cv | 0.768 | | sampleLengths | | 0 | 15 | | 1 | 15 | | 2 | 30 | | 3 | 19 | | 4 | 14 | | 5 | 4 | | 6 | 19 | | 7 | 16 | | 8 | 9 | | 9 | 8 | | 10 | 32 | | 11 | 8 | | 12 | 29 | | 13 | 7 | | 14 | 17 | | 15 | 4 | | 16 | 16 | | 17 | 6 | | 18 | 5 | | 19 | 5 | | 20 | 2 | | 21 | 19 | | 22 | 22 | | 23 | 6 | | 24 | 12 | | 25 | 11 | | 26 | 16 | | 27 | 9 | | 28 | 7 | | 29 | 31 | | 30 | 8 | | 31 | 6 | | 32 | 5 | | 33 | 15 | | 34 | 29 | | 35 | 8 | | 36 | 3 | | 37 | 9 | | 38 | 45 | | 39 | 2 | | 40 | 28 | | 41 | 26 | | 42 | 13 | | 43 | 8 | | 44 | 1 | | 45 | 10 | | 46 | 20 | | 47 | 9 | | 48 | 9 | | 49 | 4 |
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| 46.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.32432432432432434 | | totalSentences | 148 | | uniqueOpeners | 48 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 109 | | matches | | 0 | "Just a quiet bar and" | | 1 | "Then a voice said," | | 2 | "Then her face split open" | | 3 | "Just baffled, young, out of" |
| | ratio | 0.037 | |
| 62.20% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 109 | | matches | | 0 | "She'd come up that way" | | 1 | "She dumped it by the" | | 2 | "Her flat was cold, the" | | 3 | "It wasn't because the flat" | | 4 | "She took the interior stairs" | | 5 | "It smelled like lemon oil" | | 6 | "He looked up when she" | | 7 | "His hair was more grey" | | 8 | "He set the glass down." | | 9 | "She slid onto a stool" | | 10 | "She'd watched that bookshelf enough" | | 11 | "He poured her water without" | | 12 | "Her left wrist turned, and" | | 13 | "She covered it automatically with" | | 14 | "She didn't look at first." | | 15 | "It was a reflex she'd" | | 16 | "She knew that voice, but" | | 17 | "It belonged in a lecture" | | 18 | "Her hair was blonde now," | | 19 | "She was taller in heeled" |
| | ratio | 0.394 | |
| 33.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 93 | | totalSentences | 109 | | matches | | 0 | "The green neon of the" | | 1 | "Rory saw it from the" | | 2 | "She'd come up that way" | | 3 | "She dumped it by the" | | 4 | "Her flat was cold, the" | | 5 | "That was reason enough." | | 6 | "It wasn't because the flat" | | 7 | "She took the interior stairs" | | 8 | "The Raven's Nest was never" | | 9 | "The walls were what they" | | 10 | "It smelled like lemon oil" | | 11 | "Silas was behind the bar," | | 12 | "He looked up when she" | | 13 | "His hair was more grey" | | 14 | "He set the glass down." | | 15 | "She slid onto a stool" | | 16 | "She'd watched that bookshelf enough" | | 17 | "He poured her water without" | | 18 | "Rory wrapped her hands around" | | 19 | "Her left wrist turned, and" |
| | ratio | 0.853 | |
| 45.87% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 109 | | matches | | 0 | "Because Carys had looked at" |
| | ratio | 0.009 | |
| 72.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 5 | | matches | | 0 | "The walls were what they had always been, crowded with maps whose countries no longer existed and black-and-white photographs of men in hats who looked like the…" | | 1 | "Then her face split open in a smile that was instant and genuine and too loud for the quiet bar." | | 2 | "Silas, who had mastered the art of being invisible when needed, set down another glass without a limp in his grace that hid his limp entirely until he moved." | | 3 | "She'd left because Brendan Carter expected a barrister and Jennifer Ellis expected her clever daughter to get out of Cardiff and she'd gotten tangled with Evan …" | | 4 | "She had a former MI6 handler who poured her whiskey and didn't ask her for anything." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 21 | | fancyCount | 2 | | fancyTags | | 0 | "Carys laughed (laugh)" | | 1 | "Carys corrected (correct)" |
| | dialogueSentences | 51 | | tagDensity | 0.412 | | leniency | 0.824 | | rawRatio | 0.095 | | effectiveRatio | 0.078 | |