| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "The smile arrived late [late]" | | 1 | "The ring tapped again [again]" |
| | dialogueSentences | 58 | | tagDensity | 0.31 | | leniency | 0.621 | | rawRatio | 0.111 | | effectiveRatio | 0.069 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1349 | | 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) | |
| 88.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1349 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "stomach" | | 1 | "tracing" | | 2 | "trembled" |
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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 | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 9 | | totalWords | 1357 | | ratio | 0.007 | | matches | | 0 | "Mr Blackwood is no longer in this parish." | | 1 | "Inadvisable." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 808 | | uniqueNames | 8 | | maxNameDensity | 1.61 | | worstName | "Ned" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Ned" | | discoveredNames | | Raven | 1 | | Nest | 1 | | October | 1 | | Soho | 1 | | Aurora | 8 | | Silas | 12 | | Ned | 13 | | Talisker | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Aurora" | | 3 | "Silas" | | 4 | "Ned" |
| | places | | | globalScore | 0.696 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | 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 | 1357 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 21.89 | | std | 21.05 | | cv | 0.962 | | sampleLengths | | 0 | 57 | | 1 | 14 | | 2 | 9 | | 3 | 28 | | 4 | 5 | | 5 | 12 | | 6 | 53 | | 7 | 9 | | 8 | 61 | | 9 | 7 | | 10 | 57 | | 11 | 1 | | 12 | 22 | | 13 | 4 | | 14 | 54 | | 15 | 22 | | 16 | 5 | | 17 | 2 | | 18 | 8 | | 19 | 7 | | 20 | 50 | | 21 | 1 | | 22 | 3 | | 23 | 7 | | 24 | 4 | | 25 | 35 | | 26 | 5 | | 27 | 9 | | 28 | 10 | | 29 | 1 | | 30 | 17 | | 31 | 59 | | 32 | 16 | | 33 | 10 | | 34 | 7 | | 35 | 23 | | 36 | 18 | | 37 | 12 | | 38 | 37 | | 39 | 6 | | 40 | 9 | | 41 | 29 | | 42 | 73 | | 43 | 10 | | 44 | 1 | | 45 | 40 | | 46 | 4 | | 47 | 19 | | 48 | 43 | | 49 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 67 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 143 | | matches | (empty) | |
| 8.09% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 106 | | ratio | 0.047 | | matches | | 0 | "He stood in the dim a moment and let his eyes travel the room — the bar, the exits, the maps, the photographs — in an order Aurora recognised, because she'd watched Silas do it a hundred times." | | 1 | "His hand rose and touched the glass of one — two young men on a bridge in the snow, collars up, laughing at something outside the frame." | | 2 | "His signet ring tapped twice against the pot — a sound Aurora had learned to read months ago, the tell he thought no one had." | | 3 | "For a second the years slid off them both, and Aurora saw it — the shape of what they'd been, two men who lied for a living and told each other the truth in safe houses, finishing each other's sentences in four languages." | | 4 | "He got down off the stool — it cost him something, the getting down, though he arranged his face so it wouldn't show — and crossed to the threshold with one hand trailing the bar for a balance he didn't need." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 804 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.01990049751243781 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 12.8 | | std | 11.8 | | cv | 0.922 | | sampleLengths | | 0 | 28 | | 1 | 29 | | 2 | 14 | | 3 | 9 | | 4 | 28 | | 5 | 5 | | 6 | 12 | | 7 | 4 | | 8 | 26 | | 9 | 6 | | 10 | 17 | | 11 | 9 | | 12 | 23 | | 13 | 38 | | 14 | 7 | | 15 | 5 | | 16 | 5 | | 17 | 26 | | 18 | 21 | | 19 | 1 | | 20 | 13 | | 21 | 9 | | 22 | 4 | | 23 | 17 | | 24 | 37 | | 25 | 7 | | 26 | 15 | | 27 | 5 | | 28 | 2 | | 29 | 8 | | 30 | 7 | | 31 | 16 | | 32 | 5 | | 33 | 2 | | 34 | 27 | | 35 | 1 | | 36 | 3 | | 37 | 7 | | 38 | 4 | | 39 | 12 | | 40 | 23 | | 41 | 5 | | 42 | 3 | | 43 | 6 | | 44 | 7 | | 45 | 3 | | 46 | 1 | | 47 | 17 | | 48 | 30 | | 49 | 1 |
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| 72.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.46226415094339623 | | totalSentences | 106 | | uniqueOpeners | 49 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 56 | | matches | | 0 | "Then he came round the" | | 1 | "Then he ducked his head" |
| | ratio | 0.036 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 56 | | matches | | 0 | "She took the wine." | | 1 | "He took up his cloth" | | 2 | "He stood in the dim" | | 3 | "He was tall, the stranger." | | 4 | "His face did the arithmetic" | | 5 | "He stopped at the photographs." | | 6 | "His hand rose and touched" | | 7 | "His fingertips rested on the" | | 8 | "He hunted for the word" | | 9 | "She closed the paperback" | | 10 | "he said at last" | | 11 | "His signet ring tapped twice" | | 12 | "he said, to the bar" | | 13 | "He turned the folded napkin" | | 14 | "His hand trembled on the" | | 15 | "He got down off the" |
| | ratio | 0.286 | |
| 58.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 56 | | matches | | 0 | "The neon sign above the" | | 1 | "Aurora came in with the" | | 2 | "Silas set a glass in" | | 3 | "She took the wine." | | 4 | "He took up his cloth" | | 5 | "The door opened and let" | | 6 | "The man who followed it" | | 7 | "He stood in the dim" | | 8 | "The cloth in Silas's hand" | | 9 | "He was tall, the stranger." | | 10 | "His face did the arithmetic" | | 11 | "The smile arrived late, like" | | 12 | "Ned laid the umbrella across" | | 13 | "Silas came out from behind" | | 14 | "Ned's eyes dropped to the" | | 15 | "Ned pushed off from the" | | 16 | "He stopped at the photographs." | | 17 | "His hand rose and touched" | | 18 | "His fingertips rested on the" | | 19 | "He hunted for the word" |
| | ratio | 0.804 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 56 | | matches | | 0 | "Now he carried his height" | | 1 | "While the kettle worked, Ned" |
| | ratio | 0.036 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 1 | | matches | | 0 | "For a second the years slid off them both, and Aurora saw it — the shape of what they'd been, two men who lied for a living and told each other the truth in saf…" |
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| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | 0 | "Ned said, without looking round" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 58 | | tagDensity | 0.155 | | leniency | 0.31 | | rawRatio | 0 | | effectiveRatio | 0 | |