| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 60 | | tagDensity | 0.217 | | leniency | 0.433 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.20% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1317 | | 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) | |
| 24.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1317 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "crystal" | | 1 | "weight" | | 2 | "pulse" | | 3 | "measured" | | 4 | "tracing" | | 5 | "dancing" | | 6 | "depths" | | 7 | "silence" | | 8 | "fractured" | | 9 | "warmth" | | 10 | "lurched" | | 11 | "echoing" | | 12 | "flickered" | | 13 | "footsteps" | | 14 | "trembled" |
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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 | 143 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 143 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 189 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1298 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 1037 | | uniqueNames | 8 | | maxNameDensity | 0.39 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Prague" | | discoveredNames | | Raven | 1 | | Nest | 1 | | London | 1 | | Europe | 1 | | Prague | 2 | | Evan | 1 | | Aurora | 4 | | Silas | 3 |
| | persons | | 0 | "Raven" | | 1 | "Evan" | | 2 | "Aurora" | | 3 | "Silas" |
| | places | | 0 | "London" | | 1 | "Europe" | | 2 | "Prague" |
| | globalScore | 1 | | windowScore | 1 | |
| 58.54% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 3 | | matches | | 0 | "as if bracing against wind" | | 1 | "looked like safety" | | 2 | "as if waiting" |
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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 | 1298 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 189 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 82 | | mean | 15.83 | | std | 9.3 | | cv | 0.587 | | sampleLengths | | 0 | 46 | | 1 | 38 | | 2 | 8 | | 3 | 1 | | 4 | 12 | | 5 | 22 | | 6 | 39 | | 7 | 13 | | 8 | 17 | | 9 | 21 | | 10 | 16 | | 11 | 20 | | 12 | 25 | | 13 | 32 | | 14 | 15 | | 15 | 19 | | 16 | 25 | | 17 | 14 | | 18 | 12 | | 19 | 5 | | 20 | 21 | | 21 | 27 | | 22 | 15 | | 23 | 8 | | 24 | 31 | | 25 | 6 | | 26 | 7 | | 27 | 9 | | 28 | 8 | | 29 | 19 | | 30 | 12 | | 31 | 7 | | 32 | 28 | | 33 | 7 | | 34 | 6 | | 35 | 20 | | 36 | 10 | | 37 | 17 | | 38 | 19 | | 39 | 15 | | 40 | 32 | | 41 | 4 | | 42 | 7 | | 43 | 17 | | 44 | 6 | | 45 | 16 | | 46 | 10 | | 47 | 13 | | 48 | 25 | | 49 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 143 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 204 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 189 | | ratio | 0.053 | | matches | | 0 | "He poured amber liquid from a cask behind him—then hesitated." | | 1 | "Something in his expression—long years stored in the hollow beneath his eyes." | | 2 | "The bar hummed around them—glasses clinking, hushed voices, a door rattling as someone left." | | 3 | "Prague came up rarely—an operation gone wrong, lives fractured." | | 4 | "Images flashed—his face above her cot in the flat upstairs, his voice whispering code words in the dark." | | 5 | "He’d left the secret door open for her—welcome sign carved in wood." | | 6 | "She remembered him as giant oak—steadfast, immovable." | | 7 | "He cracked a grin—small, reluctant." | | 8 | "She dropped her gaze to her hands—bone-white against the dark wood." | | 9 | "She lifted a small photograph—her younger self, hair longer, face free." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1052 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.027566539923954372 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0038022813688212928 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 189 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 189 | | mean | 6.87 | | std | 4.41 | | cv | 0.642 | | sampleLengths | | 0 | 15 | | 1 | 10 | | 2 | 8 | | 3 | 13 | | 4 | 10 | | 5 | 3 | | 6 | 10 | | 7 | 6 | | 8 | 9 | | 9 | 3 | | 10 | 5 | | 11 | 1 | | 12 | 11 | | 13 | 1 | | 14 | 14 | | 15 | 5 | | 16 | 3 | | 17 | 16 | | 18 | 19 | | 19 | 4 | | 20 | 9 | | 21 | 4 | | 22 | 17 | | 23 | 3 | | 24 | 14 | | 25 | 4 | | 26 | 12 | | 27 | 4 | | 28 | 13 | | 29 | 6 | | 30 | 1 | | 31 | 15 | | 32 | 9 | | 33 | 1 | | 34 | 4 | | 35 | 6 | | 36 | 10 | | 37 | 12 | | 38 | 9 | | 39 | 6 | | 40 | 4 | | 41 | 12 | | 42 | 3 | | 43 | 9 | | 44 | 4 | | 45 | 12 | | 46 | 11 | | 47 | 3 | | 48 | 12 | | 49 | 5 |
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| 50.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.31746031746031744 | | totalSentences | 189 | | uniqueOpeners | 60 | |
| 26.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 126 | | matches | | | ratio | 0.008 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 83 | | totalSentences | 126 | | matches | | 0 | "She’d walked these streets a" | | 1 | "His left leg bore weight" | | 2 | "He straightened, spine rigid, as" | | 3 | "Her pulse hammered." | | 4 | "She slid her scarf from" | | 5 | "He set the glass down" | | 6 | "His limp carried him forward." | | 7 | "She moved around a high-top" | | 8 | "He kept his distance." | | 9 | "His voice had the calm" | | 10 | "Her shoulders tensed." | | 11 | "She pressed fingers to the" | | 12 | "He frowned, wrenching the edge" | | 13 | "She tucked hair behind an" | | 14 | "He nodded as though he’d" | | 15 | "He jerked his chin toward" | | 16 | "He poured amber liquid from" | | 17 | "She stared at the clear" | | 18 | "He caught her gaze." | | 19 | "She lifted the glass, braced" |
| | ratio | 0.659 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 112 | | totalSentences | 126 | | matches | | 0 | "Aurora pushed through the door" | | 1 | "The neon cut across her" | | 2 | "Smoke curled in lazy ropes" | | 3 | "She’d walked these streets a" | | 4 | "Hazel eyes lifted." | | 5 | "The light caught the silver" | | 6 | "His left leg bore weight" | | 7 | "He straightened, spine rigid, as" | | 8 | "Her pulse hammered." | | 9 | "Every breath tasted of memory." | | 10 | "She slid her scarf from" | | 11 | "He set the glass down" | | 12 | "His limp carried him forward." | | 13 | "Each step measured." | | 14 | "She moved around a high-top" | | 15 | "The photographs in black and" | | 16 | "Silas folded his arms on" | | 17 | "He kept his distance." | | 18 | "His voice had the calm" | | 19 | "Her shoulders tensed." |
| | ratio | 0.889 | |
| 39.68% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 126 | | matches | | | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "He tapped, silver glowing" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 60 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.2 | | effectiveRatio | 0.067 | |