| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "He gestured around [around]" |
| | dialogueSentences | 26 | | tagDensity | 0.654 | | leniency | 1 | | rawRatio | 0.059 | | effectiveRatio | 0.059 | |
| 96.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1397 | | 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) | |
| 3.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1397 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "flickered" | | 1 | "familiar" | | 2 | "solace" | | 3 | "comforting" | | 4 | "reminder" | | 5 | "footsteps" | | 6 | "echoed" | | 7 | "enigmatic" | | 8 | "resonated" | | 9 | "fleeting" | | 10 | "glint" | | 11 | "pang" | | 12 | "echoing" | | 13 | "etched" | | 14 | "weight" | | 15 | "anticipation" | | 16 | "grave" | | 17 | "gleaming" | | 18 | "sanctuary" | | 19 | "surreal" | | 20 | "warmth" | | 21 | "unspoken" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | 0 | "a spark of recognition" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 52 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 52 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 64 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 62 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1395 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 51.53% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 914 | | uniqueNames | 10 | | maxNameDensity | 1.97 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Carter | 1 | | Rory | 18 | | Silas | 6 | | Si | 2 | | One | 1 | | London | 1 | | Relief | 1 |
| | persons | | 0 | "Nest" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Relief" |
| | places | | | globalScore | 0.515 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 1 | | matches | | 0 | "as if seeing through time and space to a forgotten conversation in some desolate corner of some desolate bar" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.717 | | wordCount | 1395 | | matches | | 0 | "not glamorous, but it pays the bills" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 88.77% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 63.41 | | std | 29.21 | | cv | 0.461 | | sampleLengths | | 0 | 108 | | 1 | 84 | | 2 | 57 | | 3 | 33 | | 4 | 82 | | 5 | 69 | | 6 | 47 | | 7 | 35 | | 8 | 67 | | 9 | 97 | | 10 | 103 | | 11 | 124 | | 12 | 26 | | 13 | 66 | | 14 | 34 | | 15 | 25 | | 16 | 102 | | 17 | 33 | | 18 | 73 | | 19 | 37 | | 20 | 42 | | 21 | 51 |
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| 98.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 52 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 143 | | matches | (empty) | |
| 53.57% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 64 | | ratio | 0.031 | | matches | | 0 | "\"Not everyone can leave their past behind, child.\" His expression turned grave, and he lifted his sleeve to reveal a faded brand on his inner forearm—a cryptic sigil she didn't recognize." | | 1 | "Her fingers twitched toward her wrist, brushing against the chitinous scar—a victim of Rory's blundering across London's rooftops on a quest for deliverance from her own boorish choices." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 605 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.03966942148760331 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.009917355371900827 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 64 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 64 | | mean | 21.8 | | std | 10.65 | | cv | 0.489 | | sampleLengths | | 0 | 20 | | 1 | 19 | | 2 | 15 | | 3 | 25 | | 4 | 29 | | 5 | 13 | | 6 | 21 | | 7 | 19 | | 8 | 18 | | 9 | 13 | | 10 | 18 | | 11 | 17 | | 12 | 22 | | 13 | 17 | | 14 | 16 | | 15 | 17 | | 16 | 40 | | 17 | 25 | | 18 | 10 | | 19 | 10 | | 20 | 49 | | 21 | 15 | | 22 | 32 | | 23 | 19 | | 24 | 16 | | 25 | 48 | | 26 | 19 | | 27 | 26 | | 28 | 29 | | 29 | 27 | | 30 | 15 | | 31 | 31 | | 32 | 36 | | 33 | 36 | | 34 | 21 | | 35 | 29 | | 36 | 8 | | 37 | 16 | | 38 | 22 | | 39 | 28 | | 40 | 16 | | 41 | 10 | | 42 | 11 | | 43 | 34 | | 44 | 21 | | 45 | 34 | | 46 | 3 | | 47 | 22 | | 48 | 10 | | 49 | 60 |
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| 79.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.484375 | | totalSentences | 64 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 73.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 52 | | matches | | 0 | "She had spent many a" | | 1 | "It was almost ironic, she" | | 2 | "She spied Silas, the bar's" | | 3 | "He caught her eye, and" | | 4 | "His auburn hair, streaked with" | | 5 | "He moved with a slight" | | 6 | "He set the glass aside," | | 7 | "she admitted, moving closer to" | | 8 | "She attempted a joke, At" | | 9 | "His bushy grey-streaked brows knit," | | 10 | "Her grin stretched at the" | | 11 | "She had no right to" | | 12 | "His expression turned grave, and" | | 13 | "He glanced at her and" | | 14 | "Her fingers twitched toward her" | | 15 | "He gestured around them, to" | | 16 | "He reached for a bottle" | | 17 | "He raised his glass in" | | 18 | "She took another sip, the" |
| | ratio | 0.365 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 52 | | matches | | 0 | "The green neon sign flickered" | | 1 | "Aurora Carter, or Rory as" | | 2 | "The familiar scent of aged" | | 3 | "She had spent many a" | | 4 | "It was almost ironic, she" | | 5 | "Rory's footsteps echoed on the" | | 6 | "The bar was quieter than" | | 7 | "The walls, adorned with faded" | | 8 | "She spied Silas, the bar's" | | 9 | "He caught her eye, and" | | 10 | "Silas's voice, smooth as aged" | | 11 | "His auburn hair, streaked with" | | 12 | "He moved with a slight" | | 13 | "Rory flashed him a smile," | | 14 | "He set the glass aside," | | 15 | "Silas gave her a mischievous" | | 16 | "Rory felt a pang of" | | 17 | "she admitted, moving closer to" | | 18 | "She attempted a joke, At" | | 19 | "His bushy grey-streaked brows knit," |
| | ratio | 0.923 | |
| 96.15% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 52 | | matches | | 0 | "Even after everything she'd seen," |
| | ratio | 0.019 | |
| 56.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 4 | | matches | | 0 | "It was almost ironic, she thought, how she now delivered takeout to this neighborhood, a reminder of her past life that lingered even as she tried to move on." | | 1 | "Rory flashed him a smile, the kind that had disarmed many a suspicious bouncer and belligerent drunk." | | 2 | "Despite the years that had passed, it still caught the light from time to time, reliving uncountable memories while casting a spurious glow on those that persis…" | | 3 | "Her fingers twitched toward her wrist, brushing against the chitinous scar—a victim of Rory's blundering across London's rooftops on a quest for deliverance fro…" |
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| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "Silas said, his voice shifting to a more casual tone" | | 1 | "Silas said, his voice steady and reassuring" |
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| 34.62% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "she admitted (admit)" | | 1 | "Rory teased (tease)" | | 2 | "He glanced (glance)" |
| | dialogueSentences | 26 | | tagDensity | 0.192 | | leniency | 0.385 | | rawRatio | 0.6 | | effectiveRatio | 0.231 | |