| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1470 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "really" |
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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) | |
| 38.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1470 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "flicked" | | 1 | "perfect" | | 2 | "weight" | | 3 | "could feel" | | 4 | "familiar" | | 5 | "echo" | | 6 | "whisper" | | 7 | "unravel" | | 8 | "measured" | | 9 | "flickered" | | 10 | "footsteps" | | 11 | "echoing" | | 12 | "unspoken" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 3 | | found | | 0 | | label | "let out a breath" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 2 |
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| | highlights | | 0 | "let out a breath" | | 1 | "the air was thick with" | | 2 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 102 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 102 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1470 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 1175 | | uniqueNames | 11 | | maxNameDensity | 0.34 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 2 | | Cardiff | 2 | | Merlot | 1 | | Cool | 1 | | Rory | 4 | | Golden | 1 | | Empress | 1 | | London | 1 | | Callum | 3 |
| | persons | | 0 | "Raven" | | 1 | "Silas" | | 2 | "Rory" | | 3 | "Empress" | | 4 | "Callum" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 47.26% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like they carried state secrets in" | | 1 | "looked like a man who had never had to ch" | | 2 | "quite reach his eyes" |
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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 | 1470 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 50.69 | | std | 39.88 | | cv | 0.787 | | sampleLengths | | 0 | 220 | | 1 | 47 | | 2 | 1 | | 3 | 49 | | 4 | 81 | | 5 | 15 | | 6 | 89 | | 7 | 27 | | 8 | 9 | | 9 | 60 | | 10 | 54 | | 11 | 23 | | 12 | 54 | | 13 | 70 | | 14 | 44 | | 15 | 55 | | 16 | 24 | | 17 | 26 | | 18 | 47 | | 19 | 61 | | 20 | 55 | | 21 | 6 | | 22 | 48 | | 23 | 89 | | 24 | 30 | | 25 | 35 | | 26 | 26 | | 27 | 87 | | 28 | 38 |
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| 91.50% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 102 | | matches | | 0 | "were swallowed" | | 1 | "was gone" | | 2 | "was measured" | | 3 | "were outdated" | | 4 | "been redrawn" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 207 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 117 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1177 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.02888700084961767 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.010195412064570943 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 12.56 | | std | 9.37 | | cv | 0.746 | | sampleLengths | | 0 | 22 | | 1 | 21 | | 2 | 23 | | 3 | 10 | | 4 | 11 | | 5 | 31 | | 6 | 27 | | 7 | 22 | | 8 | 33 | | 9 | 5 | | 10 | 7 | | 11 | 8 | | 12 | 3 | | 13 | 14 | | 14 | 5 | | 15 | 25 | | 16 | 1 | | 17 | 14 | | 18 | 7 | | 19 | 26 | | 20 | 2 | | 21 | 15 | | 22 | 1 | | 23 | 5 | | 24 | 26 | | 25 | 14 | | 26 | 6 | | 27 | 14 | | 28 | 1 | | 29 | 6 | | 30 | 8 | | 31 | 10 | | 32 | 33 | | 33 | 5 | | 34 | 14 | | 35 | 5 | | 36 | 7 | | 37 | 5 | | 38 | 10 | | 39 | 5 | | 40 | 15 | | 41 | 7 | | 42 | 4 | | 43 | 5 | | 44 | 15 | | 45 | 16 | | 46 | 4 | | 47 | 3 | | 48 | 22 | | 49 | 5 |
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| 33.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.29914529914529914 | | totalSentences | 117 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 91 | | matches | | 0 | "She kept her spine straight," | | 1 | "It was a posture she" | | 2 | "His hair was a heavy" | | 3 | "He didn’t look at her." | | 4 | "He never did when the" | | 5 | "He trusted his ears more" | | 6 | "She didn’t turn right away." | | 7 | "She was aligning the edges" | | 8 | "She knew it before she" | | 9 | "It belonged to a decade" | | 10 | "He stood just inside the" | | 11 | "It had deepened the hollows" | | 12 | "He wasn’t the boy who" | | 13 | "He was something heavier, more" | | 14 | "He looked like a man" | | 15 | "Her smile arrived, thin and" | | 16 | "He stepped closer, the floorboards" | | 17 | "She flexed her left wrist." | | 18 | "His eyes lingered on it." | | 19 | "She watched him flinch, barely," |
| | ratio | 0.615 | |
| 3.96% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 91 | | matches | | 0 | "The green neon sign above" | | 1 | "Aurora stood at the bar," | | 2 | "She kept her spine straight," | | 3 | "It was a posture she" | | 4 | "The walls of The Raven’s" | | 5 | "His hair was a heavy" | | 6 | "A silver signet ring caught" | | 7 | "He didn’t look at her." | | 8 | "He never did when the" | | 9 | "He trusted his ears more" | | 10 | "The bell rang." | | 11 | "She didn’t turn right away." | | 12 | "She was aligning the edges" | | 13 | "The name crossed the room" | | 14 | "She knew it before she" | | 15 | "It belonged to a decade" | | 16 | "He stood just inside the" | | 17 | "Time had finished carving him." | | 18 | "It had deepened the hollows" | | 19 | "He wasn’t the boy who" |
| | ratio | 0.912 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 91 | | matches | | 0 | "To say yes would be" | | 1 | "To say no would be" |
| | ratio | 0.022 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 8 | | matches | | 0 | "Aurora stood at the bar, her elbows resting on the polished mahogany, watching the condensation bead on her untouched glass of club soda." | | 1 | "The walls of The Raven’s Nest were swallowed in shadow, papered with peeling nautical charts and silvered photographs of men who looked like they carried state …" | | 2 | "Behind the taps, Silas moved with the quiet, deliberate economy of a man who had spent decades learning how to occupy a room without announcing his presence." | | 3 | "She was aligning the edges of a paper napkin, folding corner to corner with a precision that kept her hands busy and her mind clear." | | 4 | "It belonged to a decade of rain-slicked pavements in Cardiff, to shared library carrels, to cheap Merlot in a flat that smelled of mildew and ambition." | | 5 | "The maps on the walls behind her were outdated, chronicling coastlines that had changed names and borders that had been redrawn." | | 6 | "Her life was quiet, deliberate, carved from the wreckage of a girl who used to believe in perfect alignments." | | 7 | "She walked into the damp London dark, the sound of her footsteps echoing against the brick, carrying the quiet, unspoken regret of a door left unopened, and the…" |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "He dragged, the stubble rasping softly" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0 | | effectiveRatio | 0 | |