| 62.07% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 4 | | adverbTags | | 0 | "his hand trembled slightly [slightly]" | | 1 | "Marcus's voice cracked slightly [slightly]" | | 2 | "Silas asked finally [finally]" | | 3 | "Silas said slowly [slowly]" |
| | dialogueSentences | 58 | | tagDensity | 0.362 | | leniency | 0.724 | | rawRatio | 0.19 | | effectiveRatio | 0.138 | |
| 72.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1438 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "slowly" | | 3 | "very" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 54.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1438 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "flickered" | | 1 | "familiar" | | 2 | "weight" | | 3 | "footsteps" | | 4 | "pang" | | 5 | "trembled" | | 6 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 73 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1419 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 5.99% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 868 | | uniqueNames | 13 | | maxNameDensity | 2.88 | | worstName | "Silas" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 25 | | October | 1 | | Webb | 1 | | Prague | 2 | | Marcus | 16 | | Si | 1 | | Macallan | 1 | | Kowalski | 2 | | Czech | 1 | | Vienna | 1 | | Nicky | 2 |
| | persons | | 0 | "Nest" | | 1 | "Silas" | | 2 | "Webb" | | 3 | "Marcus" | | 4 | "Si" | | 5 | "Kowalski" | | 6 | "Nicky" |
| | places | | 0 | "Raven" | | 1 | "Prague" | | 2 | "Czech" | | 3 | "Vienna" |
| | globalScore | 0.06 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.705 | | wordCount | 1419 | | matches | | 0 | "not enough, never enough, but a beginning" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 27.82 | | std | 21.52 | | cv | 0.774 | | sampleLengths | | 0 | 69 | | 1 | 13 | | 2 | 61 | | 3 | 17 | | 4 | 8 | | 5 | 33 | | 6 | 89 | | 7 | 9 | | 8 | 62 | | 9 | 5 | | 10 | 10 | | 11 | 41 | | 12 | 12 | | 13 | 35 | | 14 | 18 | | 15 | 30 | | 16 | 41 | | 17 | 3 | | 18 | 20 | | 19 | 60 | | 20 | 14 | | 21 | 55 | | 22 | 12 | | 23 | 2 | | 24 | 12 | | 25 | 28 | | 26 | 25 | | 27 | 5 | | 28 | 31 | | 29 | 10 | | 30 | 43 | | 31 | 28 | | 32 | 42 | | 33 | 71 | | 34 | 9 | | 35 | 40 | | 36 | 16 | | 37 | 11 | | 38 | 47 | | 39 | 23 | | 40 | 29 | | 41 | 43 | | 42 | 12 | | 43 | 2 | | 44 | 62 | | 45 | 13 | | 46 | 30 | | 47 | 3 | | 48 | 6 | | 49 | 55 |
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| 90.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 73 | | matches | | 0 | "were unchanged" | | 1 | "was supposed" | | 2 | "been, trembled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 148 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 108 | | ratio | 0.056 | | matches | | 0 | "Twenty years behind this bar had taught him to read a man's entrance before his face—the weight of footsteps, the hesitation in the threshold, the particular rhythm of someone who wasn't sure they wanted to be there." | | 1 | "But the eyes—those pale grey eyes—were unchanged." | | 2 | "The old nickname—Si—landed between them like a dropped coin." | | 3 | "The only reason Silas had survived was the bullet had missed his spine by inches—and Marcus had vanished before the inquiry, gone to ground before anyone could ask questions." | | 4 | "The bar had gone quiet around them—the regulars were veterans of silences, knew when to leave them undisturbed." | | 5 | "Inside, two men sat at the bar with sixteen years of silence finally filling with words—not enough, never enough, but a beginning." |
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| 99.25% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 881 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.04086265607264472 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.018161180476730987 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 13.14 | | std | 9.53 | | cv | 0.725 | | sampleLengths | | 0 | 16 | | 1 | 30 | | 2 | 23 | | 3 | 3 | | 4 | 10 | | 5 | 5 | | 6 | 37 | | 7 | 19 | | 8 | 9 | | 9 | 8 | | 10 | 8 | | 11 | 10 | | 12 | 5 | | 13 | 18 | | 14 | 17 | | 15 | 6 | | 16 | 17 | | 17 | 23 | | 18 | 7 | | 19 | 19 | | 20 | 9 | | 21 | 16 | | 22 | 2 | | 23 | 22 | | 24 | 15 | | 25 | 7 | | 26 | 5 | | 27 | 10 | | 28 | 9 | | 29 | 20 | | 30 | 12 | | 31 | 9 | | 32 | 3 | | 33 | 8 | | 34 | 14 | | 35 | 13 | | 36 | 12 | | 37 | 6 | | 38 | 22 | | 39 | 8 | | 40 | 5 | | 41 | 6 | | 42 | 30 | | 43 | 3 | | 44 | 20 | | 45 | 6 | | 46 | 1 | | 47 | 20 | | 48 | 2 | | 49 | 2 |
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| 42.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3333333333333333 | | totalSentences | 108 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 64 | | matches | | 0 | "He polished a glass with" | | 1 | "His hand found the edge" | | 2 | "His once-dark hair had gone" | | 3 | "His shoulders had rounded inward," | | 4 | "They held the same watchful" | | 5 | "He carried a dark wooden" | | 6 | "He poured the same for" | | 7 | "He turned it slowly between" | | 8 | "His hand found the cane," | | 9 | "His hand tightened on the" | | 10 | "He thought about Prague, about" | | 11 | "He thought about Nicky Kowalski," | | 12 | "His grip was weaker than" | | 13 | "They stayed like that as" | | 14 | "It was a beginning." |
| | ratio | 0.234 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 64 | | matches | | 0 | "The neon sign above the" | | 1 | "He polished a glass with" | | 2 | "The door opened." | | 3 | "A gust of October rain" | | 4 | "Silas didn't look up immediately." | | 5 | "This one stood in the" | | 6 | "Silas said, still polishing" | | 7 | "The voice hit him like" | | 8 | "Silas set the glass down." | | 9 | "His hand found the edge" | | 10 | "Marcus Webb stood in the" | | 11 | "The years had not been" | | 12 | "His once-dark hair had gone" | | 13 | "His shoulders had rounded inward," | | 14 | "They held the same watchful" | | 15 | "The name came out rougher" | | 16 | "Marcus moved toward the bar," | | 17 | "He carried a dark wooden" | | 18 | "Marcus settled onto a stool" | | 19 | "The old nickname—Si—landed between them" |
| | ratio | 0.922 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 50.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 4 | | matches | | 0 | "Inside, The Raven's Nest held its usual handful of late-night regulars, a scattered constellation of souls who found comfort in the dim corners and the reliable…" | | 1 | "Twenty years behind this bar had taught him to read a man's entrance before his face—the weight of footsteps, the hesitation in the threshold, the particular rh…" | | 2 | "His shoulders had rounded inward, the posture of a man who had spent too many years hunching over classified files in windowless rooms." | | 3 | "Silas looked at the man he had once trusted more than anyone in the world, the man who had been his handler, his confidant, his almost-something-more in those l…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 58 | | tagDensity | 0.138 | | leniency | 0.276 | | rawRatio | 0.125 | | effectiveRatio | 0.034 | |