| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 27 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.083 | | effectiveRatio | 0.074 | |
| 75.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 829 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "softly" | | 1 | "slowly" | | 2 | "sharply" | | 3 | "slightly" |
| |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | 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 | 829 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "footsteps" | | 1 | "echoed" | | 2 | "scanned" | | 3 | "flicked" | | 4 | "pulse" | | 5 | "could feel" | | 6 | "weight" | | 7 | "familiar" | | 8 | "flicker" | | 9 | "tension" | | 10 | "glint" | | 11 | "silence" | | 12 | "whisper" | | 13 | "flickered" |
| |
| 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 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 104 | | matches | (empty) | |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 104 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 822 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 22.37% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 666 | | uniqueNames | 12 | | maxNameDensity | 2.55 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Detective | 1 | | Harlow | 17 | | Quinn | 1 | | Raven | 1 | | Nest | 1 | | Morris | 2 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 | | Rain | 2 | | Silence | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Market" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Rain" | | 8 | "Silence" |
| | places | (empty) | | globalScore | 0.224 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 822 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 18.27 | | std | 11.76 | | cv | 0.644 | | sampleLengths | | 0 | 48 | | 1 | 33 | | 2 | 16 | | 3 | 41 | | 4 | 55 | | 5 | 21 | | 6 | 11 | | 7 | 24 | | 8 | 14 | | 9 | 12 | | 10 | 23 | | 11 | 11 | | 12 | 10 | | 13 | 30 | | 14 | 10 | | 15 | 19 | | 16 | 25 | | 17 | 29 | | 18 | 8 | | 19 | 9 | | 20 | 31 | | 21 | 6 | | 22 | 15 | | 23 | 25 | | 24 | 10 | | 25 | 25 | | 26 | 8 | | 27 | 36 | | 28 | 5 | | 29 | 9 | | 30 | 20 | | 31 | 5 | | 32 | 14 | | 33 | 31 | | 34 | 6 | | 35 | 19 | | 36 | 27 | | 37 | 8 | | 38 | 14 | | 39 | 8 | | 40 | 9 | | 41 | 5 | | 42 | 18 | | 43 | 10 | | 44 | 9 |
| |
| 91.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 104 | | matches | | 0 | "were covered" | | 1 | "was obscured" | | 2 | "was bathed" | | 3 | "was gone" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 132 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 119 | | ratio | 0.067 | | matches | | 0 | "She’d chased this man before—three years ago, when DS Morris vanished." | | 1 | "The air inside smelled of damp earth and something sharper—like ozone before lightning." | | 2 | "A sudden commotion erupted—a shout, a clatter of glass." | | 3 | "The pages were covered in symbols—some familiar, others alien." | | 4 | "Inside lay a photograph—Morris, smiling, standing beside someone Harlow didn’t recognize." | | 5 | "She saw the glint of metal in his hand—a knife, perhaps." | | 6 | "In that instant, Harlow saw it—the reflection in the window behind him." | | 7 | "She knew she had to decide—follow the trail deeper or turn back." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 674 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.025222551928783383 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.013353115727002967 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 6.91 | | std | 3.69 | | cv | 0.534 | | sampleLengths | | 0 | 8 | | 1 | 11 | | 2 | 17 | | 3 | 12 | | 4 | 4 | | 5 | 5 | | 6 | 3 | | 7 | 11 | | 8 | 10 | | 9 | 10 | | 10 | 6 | | 11 | 23 | | 12 | 5 | | 13 | 13 | | 14 | 15 | | 15 | 9 | | 16 | 13 | | 17 | 13 | | 18 | 5 | | 19 | 6 | | 20 | 4 | | 21 | 4 | | 22 | 7 | | 23 | 11 | | 24 | 6 | | 25 | 8 | | 26 | 10 | | 27 | 6 | | 28 | 8 | | 29 | 3 | | 30 | 9 | | 31 | 4 | | 32 | 19 | | 33 | 6 | | 34 | 5 | | 35 | 5 | | 36 | 5 | | 37 | 7 | | 38 | 4 | | 39 | 6 | | 40 | 13 | | 41 | 10 | | 42 | 5 | | 43 | 14 | | 44 | 9 | | 45 | 3 | | 46 | 6 | | 47 | 7 | | 48 | 7 | | 49 | 7 |
| |
| 55.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.35294117647058826 | | totalSentences | 119 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 92 | | matches | | 0 | "Somewhere distant, thunder growled." | | 1 | "Only the photograph remained, trembling" | | 2 | "Then, a whisper carried on" |
| | ratio | 0.033 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 92 | | matches | | 0 | "She ran hard, boots splashing" | | 1 | "Her leather watch ticked against" | | 2 | "She’d chased this man before—three" | | 3 | "she muttered, breath fogging in" | | 4 | "She scanned the crowd." | | 5 | "she called, voice cutting through" | | 6 | "He wore a Saint Christopher" | | 7 | "he replied, tone even" | | 8 | "He tilted his head." | | 9 | "Her gaze flicked to the" | | 10 | "She could feel the weight" | | 11 | "She followed, boots splashing through" | | 12 | "He gestured toward a stack" | | 13 | "He leaned in." | | 14 | "he said quietly" | | 15 | "She could feel the tension" | | 16 | "He opened it slowly." | | 17 | "She saw the glint of" | | 18 | "He held the photo steady." | | 19 | "She turned sharply." |
| | ratio | 0.261 | |
| 36.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 92 | | matches | | 0 | "Rain fell in sheets across" | | 1 | "Streetlights blurred into smears of" | | 2 | "She ran hard, boots splashing" | | 3 | "Her leather watch ticked against" | | 4 | "A shadow darted between alleyways." | | 5 | "Harlow didn’t slow." | | 6 | "She’d chased this man before—three" | | 7 | "The memory of his last" | | 8 | "she muttered, breath fogging in" | | 9 | "The suspect turned a corner," | | 10 | "Harlow hesitated only a heartbeat." | | 11 | "The air inside smelled of" | | 12 | "The market sprawled beneath the" | | 13 | "Stalls lined the narrow passageways," | | 14 | "A woman with eyes like" | | 15 | "A man in a moth-eaten" | | 16 | "The place hummed with secrets." | | 17 | "Harlow’s hand drifted to her" | | 18 | "She scanned the crowd." | | 19 | "The suspect disappeared deeper into" |
| | ratio | 0.848 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 2 | | matches | | 0 | "She ran hard, boots splashing through puddles that reflected the neon glow of The Raven’s Nest sign." | | 1 | "He wore a Saint Christopher medallion that caught the light." |
| |
| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 2 | | matches | | 0 | "she muttered, breath fogging in the cold air" | | 1 | "she called, voice cutting through the murmur" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 5 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she pressed (press)" | | 2 | "Harlow shouted (shout)" | | 3 | "she demanded (demand)" | | 4 | "she warned (warn)" |
| | dialogueSentences | 27 | | tagDensity | 0.407 | | leniency | 0.815 | | rawRatio | 0.455 | | effectiveRatio | 0.37 | |