| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 5 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "he said finally [finally]" | | 2 | "He leaned back [back]" | | 3 | "She looked away [away]" | | 4 | "She gestured vaguely [vaguely]" |
| | dialogueSentences | 34 | | tagDensity | 0.676 | | leniency | 1 | | rawRatio | 0.217 | | effectiveRatio | 0.217 | |
| 71.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1064 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 1 |
| | 4 | | | 5 | |
| | highlights | | 0 | "quickly" | | 1 | "slightly" | | 2 | "slowly" | | 3 | "barely above a whisper" | | 4 | "carefully" | | 5 | "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) | |
| 1.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1064 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "pulse" | | 1 | "stark" | | 2 | "scanned" | | 3 | "flicker" | | 4 | "solitary" | | 5 | "intensity" | | 6 | "weight" | | 7 | "chill" | | 8 | "measured" | | 9 | "reminder" | | 10 | "pulsed" | | 11 | "whisper" | | 12 | "unspoken" | | 13 | "echoed" | | 14 | "familiar" | | 15 | "palpable" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 65 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 65 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1057 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.62% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 794 | | uniqueNames | 8 | | maxNameDensity | 1.01 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Blackwood | 1 | | Silas | 8 | | Carter | 1 | | Rory | 4 | | Aurora | 3 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Blackwood" | | 3 | "Silas" | | 4 | "Carter" | | 5 | "Rory" | | 6 | "Aurora" |
| | places | | | globalScore | 0.996 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 1 | | matches | | 0 | "Not quite recognition, but a flicker of something sharp" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.946 | | wordCount | 1057 | | matches | | 0 | "Not quite recognition, but a flicker of something sharp" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 0.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 14 | | mean | 75.5 | | std | 10.57 | | cv | 0.14 | | sampleLengths | | 0 | 91 | | 1 | 90 | | 2 | 90 | | 3 | 74 | | 4 | 79 | | 5 | 77 | | 6 | 78 | | 7 | 63 | | 8 | 89 | | 9 | 64 | | 10 | 65 | | 11 | 64 | | 12 | 68 | | 13 | 65 |
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| 99.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 65 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 123 | | matches | (empty) | |
| 28.57% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 75 | | ratio | 0.04 | | matches | | 0 | "Inside, the air hung thick with the scent of stale beer, aged wood, and something faintly metallic—like old coins or forgotten secrets." | | 1 | "Her gaze landed on Silas, and a ghost of a smile touched her lips—a smile that vanished as quickly as it appeared, replaced by guarded wariness." | | 2 | "Aurora Carter—Rory—felt the blood rush to her cheeks, a heat that had nothing to do with the chill outside." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 800 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.04 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.015 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 14.09 | | std | 7.38 | | cv | 0.524 | | sampleLengths | | 0 | 22 | | 1 | 22 | | 2 | 27 | | 3 | 20 | | 4 | 12 | | 5 | 13 | | 6 | 9 | | 7 | 14 | | 8 | 26 | | 9 | 16 | | 10 | 5 | | 11 | 9 | | 12 | 14 | | 13 | 12 | | 14 | 3 | | 15 | 4 | | 16 | 13 | | 17 | 11 | | 18 | 8 | | 19 | 11 | | 20 | 6 | | 21 | 19 | | 22 | 17 | | 23 | 20 | | 24 | 12 | | 25 | 20 | | 26 | 11 | | 27 | 31 | | 28 | 17 | | 29 | 21 | | 30 | 7 | | 31 | 22 | | 32 | 20 | | 33 | 7 | | 34 | 9 | | 35 | 12 | | 36 | 2 | | 37 | 17 | | 38 | 9 | | 39 | 20 | | 40 | 9 | | 41 | 9 | | 42 | 19 | | 43 | 21 | | 44 | 14 | | 45 | 11 | | 46 | 41 | | 47 | 29 | | 48 | 8 | | 49 | 3 |
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| 62.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4 | | totalSentences | 75 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 64 | | matches | | 0 | "She pushed the door open," | | 1 | "Her gaze landed on Silas," | | 2 | "She didn’t move towards him," | | 3 | "He wiped the glass again," | | 4 | "He knew most faces that" | | 5 | "it stirred something deep in" | | 6 | "He finally raised his head," | | 7 | "His voice was low, gravelly," | | 8 | "she said, her voice smoother" | | 9 | "She didn’t step further into" | | 10 | "He stopped a few feet" | | 11 | "He gestured vaguely towards the" | | 12 | "she said, her voice tight" | | 13 | "She avoided his eyes, looking" | | 14 | "She took a step forward," | | 15 | "she was guarded, her movements" | | 16 | "he said finally, his voice" | | 17 | "He gestured at her simple" | | 18 | "She flinched at the nickname," | | 19 | "She took another step, closer" |
| | ratio | 0.563 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 64 | | matches | | 0 | "The Raven’s Nest’s green neon" | | 1 | "Silas Blackwood polished a glass" | | 2 | "A slight limp marked his" | | 3 | "A figure paused in the" | | 4 | "The hood slipped back, revealing" | | 5 | "She pushed the door open," | | 6 | "Her gaze landed on Silas," | | 7 | "She didn’t move towards him," | | 8 | "Silas didn’t look up immediately." | | 9 | "He wiped the glass again," | | 10 | "The bar was quiet tonight," | | 11 | "He knew most faces that" | | 12 | "this one felt different." | | 13 | "The posture, the way she" | | 14 | "it stirred something deep in" | | 15 | "He finally raised his head," | | 16 | "His voice was low, gravelly," | | 17 | "The name hung in the" | | 18 | "Aurora Carter—Rory—felt the blood rush" | | 19 | "she said, her voice smoother" |
| | ratio | 0.953 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 3 | | matches | | 0 | "The hood slipped back, revealing bright blue eyes that scanned the dim interior." | | 1 | "He knew most faces that drifted in, knew their stories, their secrets." | | 2 | "Aurora Carter—Rory—felt the blood rush to her cheeks, a heat that had nothing to do with the chill outside." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 10 | | matches | | 0 | "she said, her voice tight" | | 1 | "he said finally, his voice softer" | | 2 | "He gestured, the lack of the sharp suits she used to favor" | | 3 | "She paused, the words feeling heavy" | | 4 | "she admitted, her voice barely above a whisper" | | 5 | "he said, his voice gentle but firm" | | 6 | "She took, the scent of old paper and beer filling her senses" | | 7 | "he echoed, a slow smile touching his lips" | | 8 | "He pushed, his limp a familiar rhythm as he walked towards her" | | 9 | "she said, her voice softer now" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 34 | | tagDensity | 0.206 | | leniency | 0.412 | | rawRatio | 0.143 | | effectiveRatio | 0.059 | |