| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 60 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1169 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 61.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1169 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "echoed" | | 1 | "etched" | | 2 | "flickered" | | 3 | "silence" | | 4 | "trembled" | | 5 | "grave" | | 6 | "flicker" | | 7 | "pulse" | | 8 | "weight" |
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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 | 118 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 118 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 156 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 59 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 13 | | totalWords | 1157 | | ratio | 0.011 | | matches | | 0 | "him" | | 1 | "You’ll never leave me, Rory. You’re mine." | | 2 | "that’s" | | 3 | "here" | | 4 | "alive" | | 5 | "her" | | 6 | "you" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 48.12% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 638 | | uniqueNames | 8 | | maxNameDensity | 2.04 | | worstName | "Tommy" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Tommy" | | discoveredNames | | Roath | 1 | | Aurora | 9 | | Cardiff | 1 | | Tommy | 13 | | Silence | 1 | | Silas | 6 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Tommy" | | 2 | "Silence" | | 3 | "Silas" | | 4 | "Raven" |
| | places | | | globalScore | 0.481 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | 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 | 1157 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 156 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 15.64 | | std | 15.12 | | cv | 0.967 | | sampleLengths | | 0 | 6 | | 1 | 27 | | 2 | 4 | | 3 | 32 | | 4 | 7 | | 5 | 72 | | 6 | 12 | | 7 | 41 | | 8 | 44 | | 9 | 6 | | 10 | 29 | | 11 | 32 | | 12 | 12 | | 13 | 1 | | 14 | 13 | | 15 | 7 | | 16 | 45 | | 17 | 26 | | 18 | 4 | | 19 | 17 | | 20 | 7 | | 21 | 36 | | 22 | 12 | | 23 | 29 | | 24 | 26 | | 25 | 27 | | 26 | 5 | | 27 | 5 | | 28 | 37 | | 29 | 21 | | 30 | 3 | | 31 | 1 | | 32 | 4 | | 33 | 8 | | 34 | 8 | | 35 | 18 | | 36 | 5 | | 37 | 10 | | 38 | 59 | | 39 | 15 | | 40 | 6 | | 41 | 21 | | 42 | 4 | | 43 | 58 | | 44 | 5 | | 45 | 4 | | 46 | 25 | | 47 | 9 | | 48 | 2 | | 49 | 34 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 123 | | matches | (empty) | |
| 32.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 156 | | ratio | 0.038 | | matches | | 0 | "The garnish—a limp slice of lemon—floated like a drowned warning." | | 1 | "The other hand, gloved in black leather, tapped a rhythm against the bar—three beats, pause, two." | | 2 | "The steel was custom—no maker’s mark, no logo." | | 3 | "Tommy’s remaining eye—clouded on the outer edge, like old milk—flickered." | | 4 | "A delivery rider—teenage boy, hoodie pulled low—ducked in, holding a grease-stained bag." | | 5 | "Silas said one word—" |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 650 | | adjectiveStacks | 1 | | stackExamples | | 0 | "tight over sharp bones." |
| | adverbCount | 18 | | adverbRatio | 0.027692307692307693 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006153846153846154 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 156 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 156 | | mean | 7.42 | | std | 7.58 | | cv | 1.022 | | sampleLengths | | 0 | 6 | | 1 | 15 | | 2 | 12 | | 3 | 4 | | 4 | 3 | | 5 | 19 | | 6 | 10 | | 7 | 7 | | 8 | 16 | | 9 | 8 | | 10 | 13 | | 11 | 16 | | 12 | 3 | | 13 | 12 | | 14 | 4 | | 15 | 7 | | 16 | 5 | | 17 | 11 | | 18 | 8 | | 19 | 8 | | 20 | 2 | | 21 | 6 | | 22 | 3 | | 23 | 3 | | 24 | 13 | | 25 | 15 | | 26 | 11 | | 27 | 3 | | 28 | 2 | | 29 | 6 | | 30 | 18 | | 31 | 11 | | 32 | 16 | | 33 | 16 | | 34 | 2 | | 35 | 10 | | 36 | 1 | | 37 | 5 | | 38 | 8 | | 39 | 7 | | 40 | 36 | | 41 | 9 | | 42 | 2 | | 43 | 10 | | 44 | 14 | | 45 | 4 | | 46 | 10 | | 47 | 7 | | 48 | 7 | | 49 | 19 |
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| 70.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4551282051282051 | | totalSentences | 156 | | uniqueOpeners | 71 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 81 | | matches | | 0 | "Only a tiny serpent etched" | | 1 | "Just the hum of the" | | 2 | "Just the Raven’s Nest." |
| | ratio | 0.037 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 81 | | matches | | 0 | "She didn’t turn." | | 1 | "Their old signal." | | 2 | "She hadn’t used it in" | | 3 | "He didn’t speak." | | 4 | "She flexed her left wrist," | | 5 | "He held up the stump" | | 6 | "He tilted his head toward" | | 7 | "He slid it across the" | | 8 | "Her breath caught." | | 9 | "She laughed, short and sharp." | | 10 | "She looked at Silas." | | 11 | "He hadn’t moved." | | 12 | "He tapped the photo" | | 13 | "She stood, slow." | | 14 | "He looked at Silas" | | 15 | "She stepped forward, took the" | | 16 | "His one good eye darkened." | | 17 | "She tore the note in" |
| | ratio | 0.222 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 81 | | matches | | 0 | "The knife missed by a" | | 1 | "Aurora stared at the splintered" | | 2 | "A heartbeat behind, the crack" | | 3 | "She didn’t turn." | | 4 | "The garnish—a limp slice of" | | 5 | "The man at the other" | | 6 | "The other hand, gloved in" | | 7 | "Their old signal." | | 8 | "Aurora pulled the knife free," | | 9 | "The steel was custom—no maker’s" | | 10 | "She hadn’t used it in" | | 11 | "Silas stood in the doorway" | | 12 | "The bookshelf behind him had" | | 13 | "Maps glowed faintly within, lit" | | 14 | "He didn’t speak." | | 15 | "Tommy’s voice was sand and" | | 16 | "She flexed her left wrist," | | 17 | "Tommy’s remaining eye—clouded on the" | | 18 | "He held up the stump" | | 19 | "He tilted his head toward" |
| | ratio | 0.667 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | 0 | "Tommy said, voice low," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 60 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |