| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 3 | | adverbTags | | 0 | "she said softly [softly]" | | 1 | "she said softly [softly]" | | 2 | "he said softly [softly]" |
| | dialogueSentences | 23 | | tagDensity | 0.174 | | leniency | 0.348 | | rawRatio | 0.75 | | effectiveRatio | 0.261 | |
| 69.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1154 | | totalAiIsmAdverbs | 7 | | 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 | 1154 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "flickered" | | 1 | "pulse" | | 2 | "familiar" | | 3 | "echoing" | | 4 | "scanning" | | 5 | "weight" | | 6 | "stark" | | 7 | "flicker" | | 8 | "anticipation" | | 9 | "unspoken" | | 10 | "etched" | | 11 | "tinged" | | 12 | "warmth" | | 13 | "echo" | | 14 | "silence" | | 15 | "unreadable" | | 16 | "flicked" | | 17 | "measured" |
| |
| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 4 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 1 |
| | 3 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "clenched her fists" | | 1 | "the weight of his words" | | 2 | "hung in the air" | | 3 | "A flicker of amusement" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 56 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 56 | | filterMatches | (empty) | | hedgeMatches | | |
| 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 | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1140 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 830 | | uniqueNames | 6 | | maxNameDensity | 0.72 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | London | 2 | | Cardiff | 1 | | Silas | 5 | | Rory | 6 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 47.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 2 | | matches | | 0 | "glow that seemed to pulse in time with the bar’s muted heartbeat" | | 1 | "looked like from the inside" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1140 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 85.29% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 34.55 | | std | 15.49 | | cv | 0.449 | | sampleLengths | | 0 | 66 | | 1 | 56 | | 2 | 39 | | 3 | 58 | | 4 | 47 | | 5 | 52 | | 6 | 50 | | 7 | 9 | | 8 | 37 | | 9 | 11 | | 10 | 25 | | 11 | 27 | | 12 | 34 | | 13 | 22 | | 14 | 17 | | 15 | 53 | | 16 | 29 | | 17 | 25 | | 18 | 39 | | 19 | 16 | | 20 | 43 | | 21 | 8 | | 22 | 34 | | 23 | 60 | | 24 | 36 | | 25 | 28 | | 26 | 27 | | 27 | 41 | | 28 | 30 | | 29 | 43 | | 30 | 10 | | 31 | 22 | | 32 | 46 |
| |
| 99.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 56 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 137 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 75 | | ratio | 0.133 | | matches | | 0 | "This was her quiet refuge—an unassuming basement loft above a London pub, yet tonight, it felt strangely unfamiliar." | | 1 | "Rory had delivered countless meals to the staff and regulars—an unremarkable ghost in the background." | | 2 | "Bright blue eyes, usually quick to hide her emotions, flickered with something more guarded—caution, perhaps, or the odd flicker of anticipation." | | 3 | "Memories flickered—of hurried missions, whispered confidences under starless skies, the quiet trust they’d once shared." | | 4 | "As she approached, she saw the subtle lines around his eyes—signs of age, yes, but also experiences etched deep into his expression." | | 5 | "She winced, unfamiliar with how he sounded—calm, but edged with something that was almost a prejudice, an echo of the past." | | 6 | "The girl who had once run through Cardiff’s streets with reckless abandon was gone, replaced by someone who had learned to hide her scars—both visible and unseen." | | 7 | "Rory watched him, noticing how the light played off his face—lines etched by time, eyes shadowed by stories he might never tell." | | 8 | "Her fingers twitched instinctively, reaching to trace her scar—a crescent moon on her wrist, a childhood accident that had become a badge of something she could never quite shed." | | 9 | "He saw beneath the veneer—saw the fragile threads of vulnerability woven into her composed exterior." |
| |
| 96.60% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 843 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.04389086595492289 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.017793594306049824 | |
| 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 | 15.2 | | std | 7.31 | | cv | 0.481 | | sampleLengths | | 0 | 17 | | 1 | 26 | | 2 | 23 | | 3 | 18 | | 4 | 20 | | 5 | 18 | | 6 | 7 | | 7 | 15 | | 8 | 17 | | 9 | 19 | | 10 | 21 | | 11 | 18 | | 12 | 17 | | 13 | 30 | | 14 | 1 | | 15 | 25 | | 16 | 26 | | 17 | 4 | | 18 | 15 | | 19 | 13 | | 20 | 18 | | 21 | 9 | | 22 | 15 | | 23 | 22 | | 24 | 11 | | 25 | 17 | | 26 | 8 | | 27 | 21 | | 28 | 6 | | 29 | 14 | | 30 | 13 | | 31 | 7 | | 32 | 10 | | 33 | 12 | | 34 | 7 | | 35 | 10 | | 36 | 13 | | 37 | 13 | | 38 | 27 | | 39 | 6 | | 40 | 23 | | 41 | 11 | | 42 | 5 | | 43 | 9 | | 44 | 5 | | 45 | 23 | | 46 | 11 | | 47 | 8 | | 48 | 8 | | 49 | 21 |
| |
| 66.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.41333333333333333 | | totalSentences | 75 | | uniqueOpeners | 31 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 55 | | matches | | 0 | "Occasionally, a pale green neon" | | 1 | "Bright blue eyes, usually quick" |
| | ratio | 0.036 | |
| 16.36% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 55 | | matches | | 0 | "She hesitated for a moment," | | 1 | "She was not an unfamiliar" | | 2 | "Her black hair fell just" | | 3 | "She slid into a corner," | | 4 | "She’d come here chasing ghosts," | | 5 | "He sat with his usual" | | 6 | "His hazel eyes caught hers" | | 7 | "She’d thought she had buried" | | 8 | "she said softly, her voice" | | 9 | "He looked up, his gaze" | | 10 | "She winced, unfamiliar with how" | | 11 | "He signaled to the bartender," | | 12 | "She hesitated, then sat, clutching" | | 13 | "she said softly" | | 14 | "His gaze was sharp, unflinching." | | 15 | "She shook her head slowly." | | 16 | "Her voice faltered, just briefly" | | 17 | "His lips thinned, a trace" | | 18 | "He chuckled softly, a dry," | | 19 | "Her fingers twitched instinctively, reaching" |
| | ratio | 0.509 | |
| 23.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 55 | | matches | | 0 | "The air inside The Raven’s" | | 1 | "Rory pushed open the heavy" | | 2 | "She hesitated for a moment," | | 3 | "This was her quiet refuge—an" | | 4 | "She was not an unfamiliar" | | 5 | "Rory had delivered countless meals" | | 6 | "Her black hair fell just" | | 7 | "She slid into a corner," | | 8 | "She’d come here chasing ghosts," | | 9 | "The man was a silhouette" | | 10 | "He sat with his usual" | | 11 | "His hazel eyes caught hers" | | 12 | "Unbidden, her breath caught." | | 13 | "Memories flickered—of hurried missions, whispered" | | 14 | "She’d thought she had buried" | | 15 | "The moment hung between them" | | 16 | "Rory hesitated, then rose slowly," | | 17 | "she said softly, her voice" | | 18 | "He looked up, his gaze" | | 19 | "She winced, unfamiliar with how" |
| | ratio | 0.873 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 32.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 6 | | matches | | 0 | "Occasionally, a pale green neon sign flickered overhead, casting an eerie glow that seemed to pulse in time with the bar’s muted heartbeat." | | 1 | "The man was a silhouette against the smoky glow, his broad shoulders slumped but held with the quiet confidence of someone who knew what wariness looked like fr…" | | 2 | "She winced, unfamiliar with how he sounded—calm, but edged with something that was almost a prejudice, an echo of the past." | | 3 | "The girl who had once run through Cardiff’s streets with reckless abandon was gone, replaced by someone who had learned to hide her scars—both visible and unsee…" | | 4 | "Her fingers twitched instinctively, reaching to trace her scar—a crescent moon on her wrist, a childhood accident that had become a badge of something she could…" | | 5 | "They sat in silence, two remnants of a past that refused to fade, the shadows of their history stretching long into the present." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Her voice faltered (falter)" |
| | dialogueSentences | 23 | | tagDensity | 0.174 | | leniency | 0.348 | | rawRatio | 0.25 | | effectiveRatio | 0.087 | |