| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 4 | | adverbTags | | 0 | "She said simply [simply]" | | 1 | "Her eyes flicked back [back]" | | 2 | "Silas finally said [finally]" | | 3 | "she said simply [simply]" |
| | dialogueSentences | 34 | | tagDensity | 0.529 | | leniency | 1 | | rawRatio | 0.222 | | effectiveRatio | 0.222 | |
| 63.12% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 949 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "softly" | | 1 | "slowly" | | 2 | "very" | | 3 | "really" | | 4 | "sadly" |
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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) | |
| 42.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 949 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "pulsed" | | 1 | "familiar" | | 2 | "tension" | | 3 | "unspoken" | | 4 | "glinting" | | 5 | "flicked" | | 6 | "reminder" | | 7 | "silence" | | 8 | "weight" | | 9 | "unravel" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 51 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 51 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 938 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 672 | | uniqueNames | 10 | | maxNameDensity | 1.19 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | London | 1 | | Carter | 1 | | Aurora | 6 | | Soho | 1 | | Silas | 8 | | Blackwood | 1 | | Evan | 1 | | Eyes | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Aurora" | | 4 | "Silas" | | 5 | "Blackwood" | | 6 | "Evan" | | 7 | "Eyes" |
| | places | | | globalScore | 0.905 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 3 | | matches | | 0 | "as if marking time in the space between them" | | 1 | "quite solve" | | 2 | "as if willing the years between them to unravel with a single knot" |
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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 | 938 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 26.8 | | std | 16.19 | | cv | 0.604 | | sampleLengths | | 0 | 79 | | 1 | 18 | | 2 | 29 | | 3 | 78 | | 4 | 12 | | 5 | 31 | | 6 | 43 | | 7 | 15 | | 8 | 14 | | 9 | 45 | | 10 | 32 | | 11 | 29 | | 12 | 31 | | 13 | 46 | | 14 | 17 | | 15 | 27 | | 16 | 14 | | 17 | 21 | | 18 | 22 | | 19 | 30 | | 20 | 14 | | 21 | 19 | | 22 | 16 | | 23 | 10 | | 24 | 33 | | 25 | 27 | | 26 | 40 | | 27 | 14 | | 28 | 14 | | 29 | 34 | | 30 | 9 | | 31 | 13 | | 32 | 23 | | 33 | 16 | | 34 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 122 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 66 | | ratio | 0.091 | | matches | | 0 | "The Raven's Nest buzzed quietly with its usual after-hours crowd; hushed murmurs floated over the clink of glasses." | | 1 | "Grey streaked his once reddish hair, and the sharp hazel eyes beneath heavy lids held a collection of stories—too many to tell in a single glance." | | 2 | "“Silas.” Her voice cracked, a mixture of surprise and something heavier—something unspoken." | | 3 | "She considered mentioning Evan—how she’d run, but the words clogged the space between memory and present, thickening the air." | | 4 | "The memories came unbidden—the nights in quiet corners, strategy mapped in shadows, trust forged but frayed." | | 5 | "No one else in the room mattered in that moment—just the old friends standing at a crossroads too long unattended." |
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| 86.37% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 683 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 32 | | adverbRatio | 0.04685212298682284 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.021961932650073207 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 14.21 | | std | 7.49 | | cv | 0.527 | | sampleLengths | | 0 | 18 | | 1 | 34 | | 2 | 12 | | 3 | 15 | | 4 | 18 | | 5 | 2 | | 6 | 27 | | 7 | 7 | | 8 | 26 | | 9 | 11 | | 10 | 13 | | 11 | 21 | | 12 | 12 | | 13 | 25 | | 14 | 6 | | 15 | 10 | | 16 | 33 | | 17 | 15 | | 18 | 10 | | 19 | 4 | | 20 | 29 | | 21 | 16 | | 22 | 32 | | 23 | 4 | | 24 | 23 | | 25 | 2 | | 26 | 12 | | 27 | 7 | | 28 | 12 | | 29 | 27 | | 30 | 19 | | 31 | 17 | | 32 | 8 | | 33 | 9 | | 34 | 10 | | 35 | 5 | | 36 | 9 | | 37 | 7 | | 38 | 14 | | 39 | 10 | | 40 | 12 | | 41 | 14 | | 42 | 16 | | 43 | 14 | | 44 | 6 | | 45 | 13 | | 46 | 16 | | 47 | 6 | | 48 | 4 | | 49 | 15 |
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| 73.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4696969696969697 | | totalSentences | 66 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 11.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 48 | | matches | | 0 | "She turned slowly to see" | | 1 | "His beard was neatly trimmed," | | 2 | "He carried himself with the" | | 3 | "Her voice cracked, a mixture" | | 4 | "He offered a small nod," | | 5 | "he breathed in" | | 6 | "she said, eyes fixed on" | | 7 | "She glanced at him, surprised" | | 8 | "He smiled, lips tightening, He" | | 9 | "She said simply" | | 10 | "Her eyes flicked back to" | | 11 | "He looked to the shadows" | | 12 | "His voice softened" | | 13 | "Her fingers brushed against the" | | 14 | "She considered mentioning Evan—how she’d" | | 15 | "Her laugh was bitter, sharp-edged." | | 16 | "He nodded, a gesture heavy" | | 17 | "She looked at him then," | | 18 | "she said simply" | | 19 | "He smiled, a little sadly," |
| | ratio | 0.521 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 48 | | matches | | 0 | "The Raven's Nest buzzed quietly" | | 1 | "The distinctive green neon sign" | | 2 | "Aurora Carter stepped in, her" | | 3 | "The faint scent of aged" | | 4 | "A voice came from the" | | 5 | "The voice belonged to someone" | | 6 | "She turned slowly to see" | | 7 | "His beard was neatly trimmed," | | 8 | "The very sight of him" | | 9 | "He carried himself with the" | | 10 | "Her voice cracked, a mixture" | | 11 | "He offered a small nod," | | 12 | "he breathed in" | | 13 | "The bar’s low hum slipped" | | 14 | "Aurora caught the familiar signet" | | 15 | "she said, eyes fixed on" | | 16 | "Silas laughed softly, a sound" | | 17 | "She glanced at him, surprised" | | 18 | "He smiled, lips tightening, He" | | 19 | "She said simply" |
| | ratio | 0.958 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 2 | | matches | | 0 | "He offered a small nod, eyes flicking to the small crescent-shaped scar on her left wrist as if marking time in the space between them." | | 1 | "She glanced at him, surprised to find the same sharp line of the jaw, the same set of shoulders, but with years that had worn in places, not out." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 6 | | matches | | 0 | "Her voice cracked, a mixture of surprise and something heavier—something unspoken" | | 1 | "she said, eyes fixed on the amber liquid settling in her glass" | | 2 | "He smiled, lips tightening," | | 3 | "The question slipped out, her gaze catching his" | | 4 | "she whispered, voice rough" | | 5 | "Silas asked, voice low" |
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| 61.76% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "he breathed (breathe)" | | 1 | "she whispered (whisper)" | | 2 | "Silas murmured (murmur)" |
| | dialogueSentences | 34 | | tagDensity | 0.235 | | leniency | 0.471 | | rawRatio | 0.375 | | effectiveRatio | 0.176 | |