| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 3 | | adverbTags | | 0 | "The words landed like [like]" | | 1 | "Thomas said finally [finally]" | | 2 | "Thomas said quietly [quietly]" |
| | dialogueSentences | 70 | | tagDensity | 0.386 | | leniency | 0.771 | | rawRatio | 0.111 | | effectiveRatio | 0.086 | |
| 82.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1403 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "truly" |
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| 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) | |
| 60.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1403 | | totalAiIsms | 11 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "practiced ease" | | count | 1 |
| | 5 | | | 6 | | | 7 | |
| | highlights | | 0 | "sentinels" | | 1 | "silence" | | 2 | "familiar" | | 3 | "lilt" | | 4 | "practiced ease" | | 5 | "unspoken" | | 6 | "mechanical" | | 7 | "tension" |
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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 | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 86 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 63 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1402 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 36.09% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 834 | | uniqueNames | 13 | | maxNameDensity | 2.28 | | worstName | "Silas" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Thomas" | | discoveredNames | | Silas | 19 | | Thursdays | 1 | | Marsh | 1 | | Reached | 1 | | Raven | 2 | | Nest | 2 | | Thomas | 19 | | Prague | 1 | | Rory | 2 | | Welsh | 1 | | Didn | 1 | | Sarajevo | 1 | | Russian | 1 |
| | persons | | 0 | "Silas" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Thomas" | | 4 | "Rory" |
| | places | | 0 | "Marsh" | | 1 | "Prague" | | 2 | "Sarajevo" |
| | globalScore | 0.361 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like something dredged up from dee" |
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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 | 1402 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 21.57 | | std | 18.92 | | cv | 0.877 | | sampleLengths | | 0 | 49 | | 1 | 28 | | 2 | 4 | | 3 | 24 | | 4 | 2 | | 5 | 30 | | 6 | 13 | | 7 | 11 | | 8 | 40 | | 9 | 8 | | 10 | 21 | | 11 | 14 | | 12 | 48 | | 13 | 1 | | 14 | 22 | | 15 | 8 | | 16 | 6 | | 17 | 46 | | 18 | 16 | | 19 | 24 | | 20 | 1 | | 21 | 21 | | 22 | 32 | | 23 | 6 | | 24 | 42 | | 25 | 3 | | 26 | 7 | | 27 | 54 | | 28 | 39 | | 29 | 21 | | 30 | 29 | | 31 | 4 | | 32 | 32 | | 33 | 16 | | 34 | 10 | | 35 | 3 | | 36 | 38 | | 37 | 1 | | 38 | 25 | | 39 | 12 | | 40 | 51 | | 41 | 6 | | 42 | 4 | | 43 | 40 | | 44 | 5 | | 45 | 38 | | 46 | 30 | | 47 | 1 | | 48 | 45 | | 49 | 30 |
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| 97.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 86 | | matches | | 0 | "were supposed" | | 1 | "been buried" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 142 | | matches | | 0 | "was polishing" | | 1 | "was carrying" |
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| 98.21% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 128 | | ratio | 0.016 | | matches | | 0 | "Silver at the temples, but the eyes—" | | 1 | "Silas recognized her immediately—Rory, his tenant, his occasional errand-runner." |
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| 96.32% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 837 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.04420549581839905 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.016726403823178016 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 10.95 | | std | 9.15 | | cv | 0.836 | | sampleLengths | | 0 | 15 | | 1 | 2 | | 2 | 19 | | 3 | 4 | | 4 | 9 | | 5 | 13 | | 6 | 8 | | 7 | 7 | | 8 | 4 | | 9 | 9 | | 10 | 15 | | 11 | 2 | | 12 | 22 | | 13 | 4 | | 14 | 4 | | 15 | 6 | | 16 | 5 | | 17 | 2 | | 18 | 8 | | 19 | 3 | | 20 | 8 | | 21 | 13 | | 22 | 10 | | 23 | 9 | | 24 | 5 | | 25 | 3 | | 26 | 10 | | 27 | 11 | | 28 | 14 | | 29 | 13 | | 30 | 24 | | 31 | 11 | | 32 | 1 | | 33 | 15 | | 34 | 7 | | 35 | 4 | | 36 | 4 | | 37 | 6 | | 38 | 22 | | 39 | 6 | | 40 | 5 | | 41 | 13 | | 42 | 6 | | 43 | 10 | | 44 | 14 | | 45 | 10 | | 46 | 1 | | 47 | 15 | | 48 | 6 | | 49 | 5 |
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| 71.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.453125 | | totalSentences | 128 | | uniqueOpeners | 58 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 81 | | matches | | 0 | "Just slightly, just enough." | | 1 | "Instead, she simply raised a" | | 2 | "Just held it for a" | | 3 | "Then he picked up his" |
| | ratio | 0.049 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 81 | | matches | | 0 | "His hand tightened around the" | | 1 | "He stopped himself" | | 2 | "He took a long pull" | | 3 | "She glanced at the bar," | | 4 | "Her voice carried a slight" | | 5 | "He didn't look at her" | | 6 | "She disappeared through the bookshelf" | | 7 | "she said, already moving toward" | | 8 | "She paused at the door," | | 9 | "He reached for the bottle," | | 10 | "He met Thomas's eyes" |
| | ratio | 0.136 | |
| 34.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 81 | | matches | | 0 | "The door chime had barely" | | 1 | "The file would have flagged" | | 2 | "A slow news cycle." | | 3 | "A gentleman's agreement among those" | | 4 | "The stranger wore his age" | | 5 | "The eyes hadn't changed." | | 6 | "The word escaped before Silas" | | 7 | "His hand tightened around the" | | 8 | "Thomas Marsh lowered himself onto" | | 9 | "The same knee, then." | | 10 | "Some things remained constant." | | 11 | "Silas set down the glass" | | 12 | "Thomas accepted the pour with" | | 13 | "The Raven's Nest held its" | | 14 | "A couple in the corner" | | 15 | "The old maps on the" | | 16 | "Silas had inherited worse office" | | 17 | "He stopped himself" | | 18 | "A diplomatic pause." | | 19 | "Thomas's mouth curved, but it" |
| | ratio | 0.852 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 19.70% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 5 | | matches | | 0 | "The familiar burn steadied something that had threatened to shake loose." | | 1 | "She disappeared through the bookshelf with a practiced ease that suggested she'd done it before." | | 2 | "The sharp, sardonic bastard who'd once talked their way past three checkpoints in Sarajevo using nothing but an expired press pass and a truly terrible Russian …" | | 3 | "Rory emerged, a white plastic bag in hand, her eyes flicking between the two men with a sharpness that belied her casual posture." | | 4 | "Then he picked up his cloth, began polishing a glass that was already clean, and waited for the next customer to walk through his door." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "Silas repeated (repeat)" |
| | dialogueSentences | 70 | | tagDensity | 0.086 | | leniency | 0.171 | | rawRatio | 0.167 | | effectiveRatio | 0.029 | |