| 42.11% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 3 | | adverbTags | | 0 | "she finally asked [finally]" | | 1 | "He gestured vaguely [vaguely]" | | 2 | "He leaned back [back]" |
| | dialogueSentences | 37 | | tagDensity | 0.514 | | leniency | 1 | | rawRatio | 0.158 | | effectiveRatio | 0.158 | |
| 85.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1068 | | totalAiIsmAdverbs | 3 | | 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 | 1068 | | totalAiIsms | 29 | | found | | | highlights | | 0 | "echoed" | | 1 | "gloom" | | 2 | "scanning" | | 3 | "unreadable" | | 4 | "weight" | | 5 | "familiar" | | 6 | "whisper" | | 7 | "silence" | | 8 | "reminder" | | 9 | "warmth" | | 10 | "sanctuary" | | 11 | "testament" | | 12 | "enigmatic" | | 13 | "flickered" | | 14 | "dancing" | | 15 | "cacophony" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "hung in the air" | | count | 2 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1064 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 93.40% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 795 | | uniqueNames | 14 | | maxNameDensity | 1.13 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Soho | 1 | | Carter | 1 | | Rory | 6 | | Yu-Fei | 1 | | Cheung | 1 | | Golden | 1 | | Empress | 1 | | Blackwood | 1 | | Cardiff | 1 | | London | 1 | | Silas | 9 | | Evan | 1 | | Nest | 2 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "Cheung" | | 4 | "Blackwood" | | 5 | "Silas" | | 6 | "Evan" | | 7 | "Nest" |
| | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "London" |
| | globalScore | 0.934 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed suddenly loud a cacophony of memories and regrets" |
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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 | 1064 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 92.52% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 50.67 | | std | 24.01 | | cv | 0.474 | | sampleLengths | | 0 | 130 | | 1 | 79 | | 2 | 46 | | 3 | 50 | | 4 | 42 | | 5 | 29 | | 6 | 45 | | 7 | 25 | | 8 | 23 | | 9 | 37 | | 10 | 45 | | 11 | 57 | | 12 | 51 | | 13 | 51 | | 14 | 57 | | 15 | 42 | | 16 | 25 | | 17 | 62 | | 18 | 30 | | 19 | 50 | | 20 | 88 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 125 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 91 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 798 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.03007518796992481 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.013784461152882205 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 11.69 | | std | 6.07 | | cv | 0.519 | | sampleLengths | | 0 | 16 | | 1 | 29 | | 2 | 11 | | 3 | 19 | | 4 | 23 | | 5 | 18 | | 6 | 14 | | 7 | 3 | | 8 | 9 | | 9 | 24 | | 10 | 17 | | 11 | 12 | | 12 | 4 | | 13 | 10 | | 14 | 10 | | 15 | 19 | | 16 | 8 | | 17 | 9 | | 18 | 11 | | 19 | 15 | | 20 | 12 | | 21 | 10 | | 22 | 2 | | 23 | 5 | | 24 | 6 | | 25 | 18 | | 26 | 9 | | 27 | 4 | | 28 | 14 | | 29 | 11 | | 30 | 4 | | 31 | 10 | | 32 | 32 | | 33 | 3 | | 34 | 9 | | 35 | 7 | | 36 | 9 | | 37 | 3 | | 38 | 13 | | 39 | 7 | | 40 | 10 | | 41 | 19 | | 42 | 8 | | 43 | 14 | | 44 | 14 | | 45 | 6 | | 46 | 11 | | 47 | 12 | | 48 | 6 | | 49 | 23 |
| |
| 46.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.34065934065934067 | | totalSentences | 91 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 6.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 75 | | matches | | 0 | "Her worn leather coat, frayed" | | 1 | "She clutched a battered cardboard" | | 2 | "She didn’t pause." | | 3 | "She moved with purpose, her" | | 4 | "His left leg, stiff from" | | 5 | "He didn’t look up." | | 6 | "He never did, not when" | | 7 | "Her voice was low, precise," | | 8 | "She placed the bag on" | | 9 | "He didn’t offer a hand," | | 10 | "He just watched her, the" | | 11 | "They were a statement, a" | | 12 | "She felt the familiar prickle" | | 13 | "She met his gaze, refusing" | | 14 | "He took a slow sip" | | 15 | "His voice was dry, like" | | 16 | "She shrugged, a gesture that" | | 17 | "She touched her wrist, the" | | 18 | "He tapped the signet ring" | | 19 | "He leaned closer, his voice" |
| | ratio | 0.533 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 75 | | matches | | 0 | "The Raven's Nest’sgreen neon sign" | | 1 | "Aurora Carter, or Rory, as" | | 2 | "Her worn leather coat, frayed" | | 3 | "She clutched a battered cardboard" | | 4 | "The bar’s interior was a" | | 5 | "Maps of the world, torn" | | 6 | "A low hum of conversation" | | 7 | "She didn’t pause." | | 8 | "She moved with purpose, her" | | 9 | "Silas Blackwood sat alone at" | | 10 | "A silver signet ring glinted" | | 11 | "His left leg, stiff from" | | 12 | "He didn’t look up." | | 13 | "He never did, not when" | | 14 | "Rory slid onto the stool" | | 15 | "Her voice was low, precise," | | 16 | "She placed the bag on" | | 17 | "Silas finally looked at her," | | 18 | "The name was a relic," | | 19 | "He didn’t offer a hand," |
| | ratio | 0.987 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 6 | | matches | | 0 | "She touched, the crescent-shaped mark a ghost beneath her skin" | | 1 | "she finally asked, her voice barely a whisper" | | 2 | "she said, the words feeling hollow" | | 3 | "He took, the amber liquid disappearing" | | 4 | "she asked, her voice trembling slightly" | | 5 | "she asked, her voice barely audible" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 37 | | tagDensity | 0.135 | | leniency | 0.27 | | rawRatio | 0.2 | | effectiveRatio | 0.054 | |