| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 31 | | tagDensity | 0.065 | | leniency | 0.129 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1682 | | 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) | |
| 73.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1682 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "measured" | | 1 | "etched" | | 2 | "quivered" | | 3 | "perfect" | | 4 | "weight" | | 5 | "shattered" | | 6 | "silence" | | 7 | "chill" |
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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 | 117 | | matches | (empty) | |
| 94.02% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 117 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 146 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1674 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 78.81% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1194 | | uniqueNames | 9 | | maxNameDensity | 1.42 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 2 | | Harlow | 1 | | Quinn | 17 | | Tube | 1 | | Camden | 1 | | Sergeant | 1 | | Hale | 8 | | Kowalski | 1 | | Eva | 9 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Hale" | | 4 | "Kowalski" | | 5 | "Eva" |
| | places | (empty) | | globalScore | 0.788 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.597 | | wordCount | 1674 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 146 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 24.62 | | std | 19.11 | | cv | 0.776 | | sampleLengths | | 0 | 78 | | 1 | 33 | | 2 | 47 | | 3 | 11 | | 4 | 38 | | 5 | 45 | | 6 | 14 | | 7 | 4 | | 8 | 6 | | 9 | 42 | | 10 | 35 | | 11 | 15 | | 12 | 10 | | 13 | 60 | | 14 | 6 | | 15 | 4 | | 16 | 19 | | 17 | 37 | | 18 | 3 | | 19 | 14 | | 20 | 10 | | 21 | 35 | | 22 | 61 | | 23 | 10 | | 24 | 2 | | 25 | 7 | | 26 | 42 | | 27 | 5 | | 28 | 8 | | 29 | 48 | | 30 | 19 | | 31 | 5 | | 32 | 8 | | 33 | 9 | | 34 | 11 | | 35 | 39 | | 36 | 50 | | 37 | 7 | | 38 | 14 | | 39 | 24 | | 40 | 57 | | 41 | 3 | | 42 | 22 | | 43 | 39 | | 44 | 57 | | 45 | 18 | | 46 | 8 | | 47 | 51 | | 48 | 3 | | 49 | 9 |
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| 99.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 117 | | matches | | 0 | "been pulled" | | 1 | "been tucked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 189 | | matches | (empty) | |
| 45.01% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 146 | | ratio | 0.034 | | matches | | 0 | "Its contents—thick black liquid that tried to climb the glass—still quivered." | | 1 | "Inside the crushed face a scrap of paper had been tucked—thin parchment, ink still wet enough to smear under her glove." | | 2 | "Inside, resting on a ledge of older brick, lay a third bone token—fresh, no wear on the edges—carved with the same concentric rings as the parchment." | | 3 | "Not outside fire—heat that started at the core of the metal." | | 4 | "The drop matched exactly the span between the anonymous call and first officer arrival—fifteen minutes of impossible cooling." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1207 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.03231151615575808 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0033140016570008283 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 146 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 146 | | mean | 11.47 | | std | 7.41 | | cv | 0.646 | | sampleLengths | | 0 | 14 | | 1 | 13 | | 2 | 13 | | 3 | 11 | | 4 | 12 | | 5 | 5 | | 6 | 10 | | 7 | 7 | | 8 | 19 | | 9 | 7 | | 10 | 13 | | 11 | 1 | | 12 | 2 | | 13 | 13 | | 14 | 10 | | 15 | 2 | | 16 | 6 | | 17 | 11 | | 18 | 38 | | 19 | 2 | | 20 | 8 | | 21 | 14 | | 22 | 21 | | 23 | 14 | | 24 | 4 | | 25 | 6 | | 26 | 12 | | 27 | 10 | | 28 | 20 | | 29 | 35 | | 30 | 15 | | 31 | 10 | | 32 | 2 | | 33 | 18 | | 34 | 9 | | 35 | 8 | | 36 | 7 | | 37 | 16 | | 38 | 6 | | 39 | 4 | | 40 | 19 | | 41 | 7 | | 42 | 12 | | 43 | 3 | | 44 | 15 | | 45 | 3 | | 46 | 14 | | 47 | 10 | | 48 | 35 | | 49 | 2 |
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| 67.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4178082191780822 | | totalSentences | 146 | | uniqueOpeners | 61 | |
| 62.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 106 | | matches | | 0 | "Then she returned to the" | | 1 | "Only a smudged thumbprint in" |
| | ratio | 0.019 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 106 | | matches | | 0 | "She dropped down the concrete" | | 1 | "She stopped two metres from" | | 2 | "It sat in a tight" | | 3 | "She stepped over the blood" | | 4 | "It jerked once, then locked" | | 5 | "They ended at the brick" | | 6 | "Its contents—thick black liquid that" | | 7 | "She retraced, counted, then stopped" | | 8 | "She crossed back to the" | | 9 | "She drew a small notebook" | | 10 | "It matched a broken bracelet" | | 11 | "She set the token and" | | 12 | "She checked the time of" | | 13 | "She stood, brushed grit from" | | 14 | "She laid the two images" | | 15 | "She crouched once more by" | | 16 | "She held the intact compass" | | 17 | "She rose, military spine straight," |
| | ratio | 0.17 | |
| 68.49% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 106 | | matches | | 0 | "The iron gate screeched against" | | 1 | "She dropped down the concrete" | | 2 | "Water leaked from cracks in" | | 3 | "Brass balances and glass vials" | | 4 | "Chalk circles faded under footprints." | | 5 | "The whole place stank of" | | 6 | "A uniformed constable nodded at" | | 7 | "Quinn crossed the platform in" | | 8 | "She stopped two metres from" | | 9 | "A man lay sprawled face-up" | | 10 | "A single puncture wound marked" | | 11 | "Detective Sergeant Hale stood over" | | 12 | "The blood had not pooled" | | 13 | "It sat in a tight" | | 14 | "Dust around the body lay" | | 15 | "Hale flipped a page." | | 16 | "A second figure emerged from" | | 17 | "Eva Kowalski adjusted her round" | | 18 | "The leather satchel hanging from" | | 19 | "Eva pointed to the thin" |
| | ratio | 0.783 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 4 | | matches | | 0 | "The left hand, the outstretched one, wore a thin coating of the same black liquid that filled the jar." | | 1 | "The air current tugged the loose chalk dust into a thin spiral that vanished into the dark seam." | | 2 | "Next to it sat a coiled length of thin silver wire, one end blackened as if burned from the inside." | | 3 | "She rose, military spine straight, and faced the limestone wall as if it might answer." |
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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 | |