| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.057 | | leniency | 0.114 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1157 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 95.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1157 | | totalAiIsms | 1 | | 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 | 0 | | narrationSentences | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1162 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 811 | | uniqueNames | 5 | | maxNameDensity | 0.86 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Okafor" | | discoveredNames | | Pryce | 6 | | Okafor | 5 | | Quinn | 7 | | Morris | 2 | | Daniel | 1 |
| | persons | | 0 | "Pryce" | | 1 | "Okafor" | | 2 | "Quinn" | | 3 | "Morris" | | 4 | "Daniel" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 27.88% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.721 | | wordCount | 1162 | | matches | | 0 | "not wide — not the slack drop of the freshly dead, but a considered parting, as if he'd been speaking" | | 1 | "not the slack drop of the freshly dead, but a considered parting, as if he'd been speaking" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 20.75 | | std | 19.76 | | cv | 0.952 | | sampleLengths | | 0 | 48 | | 1 | 1 | | 2 | 40 | | 3 | 4 | | 4 | 43 | | 5 | 54 | | 6 | 2 | | 7 | 15 | | 8 | 30 | | 9 | 3 | | 10 | 8 | | 11 | 1 | | 12 | 54 | | 13 | 4 | | 14 | 14 | | 15 | 2 | | 16 | 86 | | 17 | 4 | | 18 | 33 | | 19 | 2 | | 20 | 20 | | 21 | 20 | | 22 | 4 | | 23 | 3 | | 24 | 43 | | 25 | 7 | | 26 | 33 | | 27 | 2 | | 28 | 48 | | 29 | 46 | | 30 | 3 | | 31 | 9 | | 32 | 11 | | 33 | 6 | | 34 | 7 | | 35 | 7 | | 36 | 34 | | 37 | 7 | | 38 | 21 | | 39 | 3 | | 40 | 3 | | 41 | 7 | | 42 | 53 | | 43 | 37 | | 44 | 30 | | 45 | 23 | | 46 | 6 | | 47 | 10 | | 48 | 61 | | 49 | 22 |
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| 96.60% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 81 | | matches | | 0 | "were extended" | | 1 | "was bleached" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 137 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 3 | | flaggedSentences | 7 | | totalSentences | 114 | | ratio | 0.061 | | matches | | 0 | "Cold, stiff at the joint — four, five hours maybe." | | 1 | "His mouth was open too, though not wide — not the slack drop of the freshly dead, but a considered parting, as if he'd been speaking when he stopped." | | 2 | "Close up, it was something else — a white powder, granular, flecked with fragments that caught the dim light and threw it back in tiny cold sparks." | | 3 | "Just — different." | | 4 | "The fingers weren't curled in the death-grip of a man clutching for purchase; they were extended, reaching." | | 5 | "The scorch wasn't sooty; it was bleached, as though something had taken the colour out of the concrete rather than added to it." | | 6 | "Her left wrist was cold under the worn leather of her watch strap; she rubbed it without noticing." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 815 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.022085889570552148 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0036809815950920245 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 10.19 | | std | 9.22 | | cv | 0.905 | | sampleLengths | | 0 | 13 | | 1 | 10 | | 2 | 25 | | 3 | 1 | | 4 | 19 | | 5 | 12 | | 6 | 9 | | 7 | 4 | | 8 | 43 | | 9 | 5 | | 10 | 20 | | 11 | 10 | | 12 | 7 | | 13 | 12 | | 14 | 2 | | 15 | 15 | | 16 | 7 | | 17 | 10 | | 18 | 5 | | 19 | 4 | | 20 | 4 | | 21 | 3 | | 22 | 8 | | 23 | 1 | | 24 | 9 | | 25 | 4 | | 26 | 2 | | 27 | 29 | | 28 | 10 | | 29 | 4 | | 30 | 6 | | 31 | 8 | | 32 | 2 | | 33 | 14 | | 34 | 9 | | 35 | 7 | | 36 | 12 | | 37 | 2 | | 38 | 13 | | 39 | 25 | | 40 | 4 | | 41 | 4 | | 42 | 17 | | 43 | 16 | | 44 | 2 | | 45 | 3 | | 46 | 4 | | 47 | 13 | | 48 | 1 | | 49 | 2 |
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| 74.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.49122807017543857 | | totalSentences | 114 | | uniqueOpeners | 56 | |
| 47.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 70 | | matches | | | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 70 | | matches | | 0 | "She lifted Okafor's wrist with" | | 1 | "She turned the hand over." | | 2 | "She let the wrist down" | | 3 | "His mouth was open too," | | 4 | "He glanced down at his" | | 5 | "She stood, joints protesting the" | | 6 | "She put her face close" | | 7 | "Her knee clicked." | | 8 | "She noted, with the small" | | 9 | "She walked back to the" | | 10 | "She looked at the circle." | | 11 | "She knelt outside the circle's" | | 12 | "She pointed at the seven" | | 13 | "She looked again at the" | | 14 | "She squatted and sighted along" | | 15 | "Her left wrist was cold" | | 16 | "She'd been in rooms like" | | 17 | "She looked down at Daniel" |
| | ratio | 0.257 | |
| 45.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 70 | | matches | | 0 | "The fluorescent tube above the" | | 1 | "Quinn didn't bother with the" | | 2 | "DC Pryce stood near the" | | 3 | "Quinn tolerated him the way" | | 4 | "Quinn crouched beside the body." | | 5 | "Okafor lay on his side," | | 6 | "A neat circle, drawn with" | | 7 | "Symbols along its edge she" | | 8 | "She lifted Okafor's wrist with" | | 9 | "She turned the hand over." | | 10 | "The palm was clean." | | 11 | "The fingernails were clean." | | 12 | "She let the wrist down" | | 13 | "Okafor's eyes were open." | | 14 | "His mouth was open too," | | 15 | "The muscles of his jaw" | | 16 | "He glanced down at his" | | 17 | "She stood, joints protesting the" | | 18 | "The blood beneath Okafor's skull" | | 19 | "A dark halo, tacky at" |
| | ratio | 0.829 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 27.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 5 | | matches | | 0 | "Twenty-eight, eager, still keen on the idea that police work meant answers." | | 1 | "His mouth was open too, though not wide — not the slack drop of the freshly dead, but a considered parting, as if he'd been speaking when he stopped." | | 2 | "A whiff of something bitter, like scorched herbs, that had no business being on a murder weapon." | | 3 | "Close up, it was something else — a white powder, granular, flecked with fragments that caught the dim light and threw it back in tiny cold sparks." | | 4 | "The hair on the back of her wrist lifted as though she'd walked past a speaker at high volume." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.057 | | leniency | 0.114 | | rawRatio | 0 | | effectiveRatio | 0 | |