| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.297 | | leniency | 0.595 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1128 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 68.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1128 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "pulse" | | 1 | "stomach" | | 2 | "traced" | | 3 | "weight" | | 4 | "wavered" | | 5 | "footsteps" |
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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 | 65 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 65 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1123 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 710 | | uniqueNames | 7 | | maxNameDensity | 0.7 | | worstName | "Banerjee" | | maxWindowNameDensity | 2 | | worstWindowName | "Banerjee" | | discoveredNames | | Camden | 1 | | Blitz | 1 | | Banerjee | 5 | | Quinn | 5 | | Morris | 2 | | Hale | 2 | | Banderjee | 1 |
| | persons | | 0 | "Banerjee" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Hale" | | 4 | "Banderjee" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 1 | | matches | | 0 | "not quite like footsteps walking away" |
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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 | 1123 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 29.55 | | std | 23.6 | | cv | 0.799 | | sampleLengths | | 0 | 50 | | 1 | 34 | | 2 | 14 | | 3 | 4 | | 4 | 55 | | 5 | 22 | | 6 | 4 | | 7 | 39 | | 8 | 6 | | 9 | 34 | | 10 | 51 | | 11 | 23 | | 12 | 4 | | 13 | 1 | | 14 | 42 | | 15 | 12 | | 16 | 17 | | 17 | 68 | | 18 | 12 | | 19 | 6 | | 20 | 54 | | 21 | 13 | | 22 | 37 | | 23 | 39 | | 24 | 33 | | 25 | 45 | | 26 | 14 | | 27 | 10 | | 28 | 82 | | 29 | 5 | | 30 | 62 | | 31 | 26 | | 32 | 30 | | 33 | 2 | | 34 | 104 | | 35 | 14 | | 36 | 25 | | 37 | 30 |
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| 99.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 65 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 124 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 89 | | ratio | 0.056 | | matches | | 0 | "The stairs down into the old Camden station hadn't seen public use since the Blitz, and the air carried it—damp brick, rust, the iron tang of old water." | | 1 | "Not one set—several." | | 2 | "The dust there had been swept—not cleaned, swept, by the passage of many feet and the drag of something heavy." | | 3 | "She knew that feeling—the small cold drop in the stomach that came when a case stopped being ordinary." | | 4 | "The fingertips bore a faint residue—a fine grey powder, almost like ash, but it caught the torchlight with a dull mineral sheen." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 717 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.022315202231520222 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0041841004184100415 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 12.62 | | std | 9.49 | | cv | 0.752 | | sampleLengths | | 0 | 28 | | 1 | 22 | | 2 | 20 | | 3 | 14 | | 4 | 14 | | 5 | 4 | | 6 | 8 | | 7 | 25 | | 8 | 8 | | 9 | 14 | | 10 | 7 | | 11 | 3 | | 12 | 7 | | 13 | 5 | | 14 | 4 | | 15 | 4 | | 16 | 35 | | 17 | 6 | | 18 | 14 | | 19 | 20 | | 20 | 11 | | 21 | 19 | | 22 | 7 | | 23 | 2 | | 24 | 12 | | 25 | 5 | | 26 | 18 | | 27 | 4 | | 28 | 1 | | 29 | 22 | | 30 | 20 | | 31 | 6 | | 32 | 6 | | 33 | 17 | | 34 | 14 | | 35 | 12 | | 36 | 11 | | 37 | 1 | | 38 | 3 | | 39 | 9 | | 40 | 1 | | 41 | 17 | | 42 | 12 | | 43 | 6 | | 44 | 8 | | 45 | 27 | | 46 | 19 | | 47 | 3 | | 48 | 10 | | 49 | 26 |
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| 88.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5730337078651685 | | totalSentences | 89 | | uniqueOpeners | 51 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 58.60% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 57 | | matches | | 0 | "She didn't go to the" | | 1 | "She never did." | | 2 | "He clicked his pen" | | 3 | "His face held no terror," | | 4 | "She studied the open hand." | | 5 | "She rose, knees protesting, and" | | 6 | "She didn't believe it, and" | | 7 | "She walked the length of" | | 8 | "She angled the beam low" | | 9 | "She moved to the alcove." | | 10 | "She brought the torch close." | | 11 | "Her pulse changed." | | 12 | "She knew that feeling—the small" | | 13 | "She'd felt it three years" | | 14 | "She'd been ignoring that feeling" | | 15 | "She turned the torch back" | | 16 | "She traced the air above" | | 17 | "She'd seen its like once" | | 18 | "She didn't touch it with" | | 19 | "She drew a glove from" |
| | ratio | 0.404 | |
| 38.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 57 | | matches | | 0 | "The stairs down into the" | | 1 | "Quinn pressed her torch beam" | | 2 | "DC Banerjee waited at the" | | 3 | "Quinn descended the last three" | | 4 | "The platform opened before her," | | 5 | "She didn't go to the" | | 6 | "She never did." | | 7 | "The body told you how" | | 8 | "Everything else told you why." | | 9 | "Banerjee flipped his notebook." | | 10 | "He clicked his pen" | | 11 | "Quinn crouched by the edge" | | 12 | "Hale lay on his back," | | 13 | "His face held no terror," | | 14 | "The kind of peace Banerjee" | | 15 | "She studied the open hand." | | 16 | "The fingers had curled slightly" | | 17 | "She rose, knees protesting, and" | | 18 | "Banerjee frowned at the empty" | | 19 | "She didn't believe it, and" |
| | ratio | 0.842 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 4 | | matches | | 0 | "Some narrow, some broad, crossing and recrossing in patterns that didn't belong to a single lost man." | | 1 | "She knew that feeling—the small cold drop in the stomach that came when a case stopped being ordinary." | | 2 | "She looked again at the scratched symbol, at the swept floor, at the dozens of light feet that had come and gone in this dead place." | | 3 | "Behind her, somewhere down the black throat of the tunnel, water dripped in a rhythm that was almost, but not quite, like footsteps walking away." |
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| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 2 | | matches | | 0 | "DC Banerjee waited, hands shoved into his coat, breath fogging" | | 1 | "She didn't, and the word came out flat enough that he heard it too" |
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| 95.95% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "She rose knees protesting (protest)" | | 1 | "she murmured (murmur)" |
| | dialogueSentences | 37 | | tagDensity | 0.108 | | leniency | 0.216 | | rawRatio | 0.5 | | effectiveRatio | 0.108 | |