| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1064 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "barely above a whisper" | | count | 2 |
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| | highlights | | 0 | "barely above a whisper" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1064 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "comforting" | | 1 | "beacon" | | 2 | "familiar" | | 3 | "scanning" | | 4 | "chill" | | 5 | "uncanny" | | 6 | "racing" | | 7 | "whisper" | | 8 | "etched" | | 9 | "unspoken" | | 10 | "navigated" | | 11 | "warmth" | | 12 | "silence" | | 13 | "tension" | | 14 | "fleeting" | | 15 | "stark" | | 16 | "reminder" | | 17 | "dance" | | 18 | "complex" | | 19 | "tinged" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "the air was heavy 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 | 43 | | matches | | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 43 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "tended to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 46 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 83 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1063 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 956 | | uniqueNames | 12 | | maxNameDensity | 1.46 | | worstName | "Aidan" | | maxWindowNameDensity | 3 | | worstWindowName | "Aidan" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Soho | 1 | | Carter | 1 | | Tuesday | 1 | | Rory | 13 | | Aidan | 14 | | Silas | 3 | | London | 2 | | Golden | 1 | | Empress | 1 | | Evan | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Rory" | | 4 | "Aidan" | | 5 | "Silas" | | 6 | "Evan" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Golden" |
| | globalScore | 0.768 | | windowScore | 0.667 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a thinly veiled attempt to ke" |
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| 11.85% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.881 | | wordCount | 1063 | | matches | | 0 | "not of erasure, but of acceptance" | | 1 | "not as the people they used to be, but as they were now, scars" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 46 | | matches | (empty) | |
| 88.07% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 48.32 | | std | 22.14 | | cv | 0.458 | | sampleLengths | | 0 | 91 | | 1 | 91 | | 2 | 43 | | 3 | 90 | | 4 | 60 | | 5 | 38 | | 6 | 39 | | 7 | 19 | | 8 | 22 | | 9 | 32 | | 10 | 43 | | 11 | 55 | | 12 | 40 | | 13 | 65 | | 14 | 37 | | 15 | 24 | | 16 | 40 | | 17 | 23 | | 18 | 46 | | 19 | 33 | | 20 | 50 | | 21 | 82 |
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| 88.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 43 | | matches | | 0 | "being asked" | | 1 | "been left" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 134 | | matches | (empty) | |
| 18.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 46 | | ratio | 0.043 | | matches | | 0 | "\"Seven years?\" The uncertainty in her voice surprised her; she had counted each passing year with the precision of a ticking clock." | | 1 | "In that moment, as the first hints of dawn seeped into the London sky, casting a pale glow through the bar's windows, Rory and Aidan found themselves at the threshold of a new understanding, one not of erasure, but of acceptance—the acceptance of who they had been, who they had become, and the unspoken, shared hope for a future where their paths might intersect once more, not as the people they used to be, but as they were now, scars and all." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 963 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 34 | | adverbRatio | 0.035306334371754934 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.014537902388369679 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 46 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 46 | | mean | 23.11 | | std | 11.1 | | cv | 0.481 | | sampleLengths | | 0 | 34 | | 1 | 19 | | 2 | 24 | | 3 | 14 | | 4 | 23 | | 5 | 16 | | 6 | 19 | | 7 | 33 | | 8 | 21 | | 9 | 22 | | 10 | 20 | | 11 | 20 | | 12 | 25 | | 13 | 25 | | 14 | 37 | | 15 | 23 | | 16 | 17 | | 17 | 21 | | 18 | 18 | | 19 | 21 | | 20 | 19 | | 21 | 22 | | 22 | 32 | | 23 | 19 | | 24 | 17 | | 25 | 7 | | 26 | 18 | | 27 | 14 | | 28 | 23 | | 29 | 29 | | 30 | 11 | | 31 | 25 | | 32 | 40 | | 33 | 19 | | 34 | 18 | | 35 | 24 | | 36 | 14 | | 37 | 26 | | 38 | 23 | | 39 | 24 | | 40 | 22 | | 41 | 14 | | 42 | 19 | | 43 | 37 | | 44 | 13 | | 45 | 82 |
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| 77.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4782608695652174 | | totalSentences | 46 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 43 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 43 | | matches | | 0 | "It was a slow Tuesday," | | 1 | "Their eyes met, and for" | | 2 | "His features, once sharp and" | | 3 | "She offered him a faint," | | 4 | "He gestured to the stool" | | 5 | "Their conversation unfolded with the" | | 6 | "They spoke of nothing and" | | 7 | "It wasn't until Aidan's inquiry" | | 8 | "she asked, her voice barely" | | 9 | "Her smile, tinged with sadness," |
| | ratio | 0.233 | |
| 53.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 43 | | matches | | 0 | "The dim glow of the" | | 1 | "Rory Carter polished a mug" | | 2 | "It was a slow Tuesday," | | 3 | "A lone figure stepped across" | | 4 | "Rory's gaze, drawn to the" | | 5 | "The tray teetered, pints sloshing" | | 6 | "The name escaped her lips" | | 7 | "Their eyes met, and for" | | 8 | "Aidan's appearance had always been" | | 9 | "His features, once sharp and" | | 10 | "The unruly mess of curly" | | 11 | "She offered him a faint," | | 12 | "Aidan said, his voice, though" | | 13 | "He gestured to the stool" | | 14 | "Rory nodded, the silence that" | | 15 | "Silas, sensing the tension, slid" | | 16 | "Aidan asked, cradling the glass" | | 17 | "The uncertainty in her voice" | | 18 | "Aidan's smile broadened, illuminating the" | | 19 | "The specificity was a spear" |
| | ratio | 0.814 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 43 | | matches | | 0 | "Yet, beneath the surface, unresolved" |
| | ratio | 0.023 | |
| 37.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 5 | | matches | | 0 | "The tray teetered, pints sloshing dangerously, as she hurried to set it down on the bar, her mind racing to reconcile the man standing in the doorway with the b…" | | 1 | "His features, once sharp and angular, had softened, rounded by a subtle padding that spoke of comforts and hardships alike." | | 2 | "As Aidan navigated the room, his strides unhurried, Rory felt Silas's watchful gaze upon her, a silent inquiry from the bar's owner, who stood polishing a glass…" | | 3 | "Rory's narration of her days, delivered in clipped sentences, painted a picture of a life on autopilot: the part-time job at the Golden Empress, her flat above …" | | 4 | "Aidan's shoulders rose and fell in a silent sigh, the shadows in the bar deepening around them as if to swallow the truth whole." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |