| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 91.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 567 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 567 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulsed" | | 1 | "familiar" | | 2 | "unspoken" | | 3 | "weight" | | 4 | "silence" | | 5 | "flickered" | | 6 | "stomach" | | 7 | "reminder" |
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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 | 37 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 37 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 52 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 16 | | markdownWords | 60 | | totalWords | 560 | | ratio | 0.107 | | matches | | 0 | "The Raven’s Nest" | | 1 | "\"You’re late.\"" | | 2 | "\"I told you I’d be here.\"" | | 3 | "\"You look different.\"" | | 4 | "\"You look… older.\"" | | 5 | "\"So do you.\"" | | 6 | "\"You’re not the same man who walked out of that door in Prague.\"" | | 7 | "\"No. I’m not.\"" | | 8 | "\"You should’ve stayed.\"" | | 9 | "\"I tried.\"" | | 10 | "\"You always did.\"" | | 11 | "\"I lost something important there. You know that.\"" | | 12 | "\"I have to go.\"" | | 13 | "\"Wait.\"" | | 14 | "\"Rory.\"" | | 15 | "\"I can’t.\"" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.36% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 503 | | uniqueNames | 7 | | maxNameDensity | 1.19 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | London | 1 | | Carter | 1 | | Rory | 1 | | Blackwood | 1 | | Prague | 1 | | Silas | 6 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "Blackwood" | | 4 | "Silas" |
| | places | | | globalScore | 0.904 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 30 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 560 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 52 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 28 | | std | 19.66 | | cv | 0.702 | | sampleLengths | | 0 | 68 | | 1 | 46 | | 2 | 2 | | 3 | 27 | | 4 | 52 | | 5 | 37 | | 6 | 26 | | 7 | 60 | | 8 | 7 | | 9 | 20 | | 10 | 7 | | 11 | 19 | | 12 | 22 | | 13 | 23 | | 14 | 1 | | 15 | 44 | | 16 | 9 | | 17 | 5 | | 18 | 48 | | 19 | 37 |
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| 86.30% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 37 | | matches | | 0 | "were lined" | | 1 | "been said" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 75 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 52 | | ratio | 0.058 | | matches | | 0 | "Aurora Carter—Rory—paused at the door, her fingers brushing the handle before she pulled it open." | | 1 | "The scar on her wrist—childhood, a broken bike chain—twitched beneath her sleeve." | | 2 | "She stepped closer, the scent of his cologne—something sharp, like old leather and something darker—filling her nose." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 510 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.03137254901960784 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.00784313725490196 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 52 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 52 | | mean | 10.77 | | std | 7.49 | | cv | 0.695 | | sampleLengths | | 0 | 25 | | 1 | 15 | | 2 | 15 | | 3 | 13 | | 4 | 27 | | 5 | 19 | | 6 | 2 | | 7 | 9 | | 8 | 12 | | 9 | 6 | | 10 | 14 | | 11 | 17 | | 12 | 18 | | 13 | 3 | | 14 | 9 | | 15 | 25 | | 16 | 3 | | 17 | 23 | | 18 | 3 | | 19 | 16 | | 20 | 18 | | 21 | 13 | | 22 | 13 | | 23 | 4 | | 24 | 3 | | 25 | 17 | | 26 | 3 | | 27 | 5 | | 28 | 2 | | 29 | 6 | | 30 | 10 | | 31 | 3 | | 32 | 14 | | 33 | 8 | | 34 | 3 | | 35 | 16 | | 36 | 4 | | 37 | 1 | | 38 | 15 | | 39 | 4 | | 40 | 15 | | 41 | 10 | | 42 | 8 | | 43 | 1 | | 44 | 3 | | 45 | 2 | | 46 | 19 | | 47 | 4 | | 48 | 25 | | 49 | 24 |
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| 49.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.3076923076923077 | | totalSentences | 52 | | uniqueOpeners | 16 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 37 | | matches | | 0 | "Instead, she turned back toward" | | 1 | "Somewhere ahead, the distant sound" |
| | ratio | 0.054 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 37 | | matches | | 0 | "She’d come here often as" | | 1 | "She exhaled sharply, the sound" | | 2 | "She turned, her black hair" | | 3 | "She crossed her arms, the" | | 4 | "She stepped closer, the scent" | | 5 | "His voice was low, rough." | | 6 | "She didn’t answer." | | 7 | "She didn’t look back." | | 8 | "She didn’t turn." | | 9 | "She didn’t look back." | | 10 | "She didn’t look back." |
| | ratio | 0.297 | |
| 14.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 33 | | totalSentences | 37 | | matches | | 0 | "The neon glow of *The" | | 1 | "Aurora Carter—Rory—paused at the door," | | 2 | "The scent of aged whiskey" | | 3 | "She’d come here often as" | | 4 | "Silas Blackwood didn’t look up" | | 5 | "She exhaled sharply, the sound" | | 6 | "The scar on her wrist—childhood," | | 7 | "Silas didn’t move, but the" | | 8 | "The bar’s walls were lined" | | 9 | "A framed newspaper clipping from" | | 10 | "The words hung between them," | | 11 | "She turned, her black hair" | | 12 | "Silas finally looked up, his" | | 13 | "A silence settled, thick as" | | 14 | "The hum of distant conversation" | | 15 | "She crossed her arms, the" | | 16 | "Silas didn’t deny it." | | 17 | "She stepped closer, the scent" | | 18 | "His voice was low, rough." | | 19 | "The words hit like a" |
| | ratio | 0.892 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 37 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |