| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "Tomás glanced around [around]" |
| | dialogueSentences | 29 | | tagDensity | 0.448 | | leniency | 0.897 | | rawRatio | 0.077 | | effectiveRatio | 0.069 | |
| 96.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1442 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 65.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1442 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "measured" | | 1 | "tangible" | | 2 | "fractured" | | 3 | "echoed" | | 4 | "standard" | | 5 | "gloom" | | 6 | "weight" | | 7 | "jaw clenched" |
| |
| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 4 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 1 |
| | 2 | | label | "jaw/fists clenched" | | count | 1 |
| | 3 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "blood ran cold" | | 1 | "eyes narrowed" | | 2 | "jaw clenched" | | 3 | "The air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 104 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 104 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 120 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1450 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 59 | | wordCount | 1102 | | uniqueNames | 18 | | maxNameDensity | 2.09 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 23 | | Camden | 2 | | Raven | 2 | | Nest | 2 | | Soho | 1 | | Town | 1 | | Morris | 2 | | Three | 4 | | Tube | 1 | | Veil | 1 | | Market | 1 | | London | 1 | | Tomás | 11 | | Herrera | 1 | | Saint | 2 | | Christopher | 2 | | Spanish | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Morris" | | 5 | "Tomás" | | 6 | "Herrera" | | 7 | "Saint" | | 8 | "Christopher" |
| | places | | 0 | "Camden" | | 1 | "Soho" | | 2 | "Town" | | 3 | "Market" | | 4 | "London" |
| | globalScore | 0.456 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like living smoke" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1450 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 120 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 29 | | std | 15.47 | | cv | 0.534 | | sampleLengths | | 0 | 49 | | 1 | 11 | | 2 | 34 | | 3 | 62 | | 4 | 3 | | 5 | 46 | | 6 | 5 | | 7 | 15 | | 8 | 33 | | 9 | 38 | | 10 | 66 | | 11 | 2 | | 12 | 44 | | 13 | 44 | | 14 | 30 | | 15 | 27 | | 16 | 58 | | 17 | 23 | | 18 | 51 | | 19 | 37 | | 20 | 14 | | 21 | 39 | | 22 | 13 | | 23 | 25 | | 24 | 5 | | 25 | 24 | | 26 | 37 | | 27 | 6 | | 28 | 39 | | 29 | 10 | | 30 | 35 | | 31 | 32 | | 32 | 33 | | 33 | 15 | | 34 | 35 | | 35 | 38 | | 36 | 29 | | 37 | 14 | | 38 | 33 | | 39 | 27 | | 40 | 32 | | 41 | 17 | | 42 | 29 | | 43 | 18 | | 44 | 42 | | 45 | 15 | | 46 | 8 | | 47 | 40 | | 48 | 44 | | 49 | 24 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 104 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 200 | | matches | | 0 | "was seeing" | | 1 | "was leaving" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 120 | | ratio | 0.083 | | matches | | 0 | "The secretive back-room meetings, the strange clientele, the whispered conversations that stopped whenever she approached – all pointing to something bigger than the typical Soho bar scene." | | 1 | "Not a weapon – something small and white." | | 2 | "The stairwell smelled of mildew and something else – incense, perhaps, or exotic spices." | | 3 | "A movement caught her eye – the suspect slipping through a maintenance door." | | 4 | "Quinn checked her watch – twenty minutes since the chase began." | | 5 | "The cadence was all wrong – a marketplace hum, dozens of conversations overlapping." | | 6 | "The air was thick with competing scents – spiced meats, burning herbs, metallic tang." | | 7 | "Hundreds of people – no, not all people – moved between stalls." | | 8 | "Eyes turned toward her – hostile, fearful, curious." | | 9 | "Quinn spotted her suspect arguing with a hooded vendor, the small white object – now clearly a carved token of some kind – clutched in his fist." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1096 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.023722627737226276 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0072992700729927005 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 120 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 120 | | mean | 12.08 | | std | 7.15 | | cv | 0.591 | | sampleLengths | | 0 | 6 | | 1 | 21 | | 2 | 11 | | 3 | 11 | | 4 | 8 | | 5 | 3 | | 6 | 15 | | 7 | 19 | | 8 | 13 | | 9 | 27 | | 10 | 22 | | 11 | 3 | | 12 | 14 | | 13 | 14 | | 14 | 4 | | 15 | 14 | | 16 | 5 | | 17 | 15 | | 18 | 11 | | 19 | 8 | | 20 | 8 | | 21 | 6 | | 22 | 7 | | 23 | 15 | | 24 | 9 | | 25 | 7 | | 26 | 10 | | 27 | 8 | | 28 | 11 | | 29 | 13 | | 30 | 24 | | 31 | 2 | | 32 | 16 | | 33 | 14 | | 34 | 14 | | 35 | 13 | | 36 | 8 | | 37 | 12 | | 38 | 11 | | 39 | 12 | | 40 | 11 | | 41 | 7 | | 42 | 8 | | 43 | 3 | | 44 | 3 | | 45 | 13 | | 46 | 17 | | 47 | 15 | | 48 | 12 | | 49 | 14 |
| |
| 66.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.44166666666666665 | | totalSentences | 120 | | uniqueOpeners | 53 | |
| 33.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 101 | | matches | | | ratio | 0.01 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 101 | | matches | | 0 | "Her breathing came in measured" | | 1 | "she shouted, knowing it was" | | 2 | "They never stopped." | | 3 | "Her voice echoed off brick" | | 4 | "He disappeared down the station" | | 5 | "She drew her service weapon," | | 6 | "She ducked through the gap" | | 7 | "Her tactical light cut through" | | 8 | "She'd lost radio contact fifteen" | | 9 | "She'd heard whispers about it" | | 10 | "Her suspect had vanished into" | | 11 | "His Saint Christopher medallion caught" | | 12 | "His Spanish accent thickened as" | | 13 | "Her sharp jaw clenched as" | | 14 | "He simply nodded, relief evident" | | 15 | "She turned back toward the" |
| | ratio | 0.158 | |
| 59.01% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 81 | | totalSentences | 101 | | matches | | 0 | "Detective Harlow Quinn hated the" | | 1 | "The summer downpour soaked through" | | 2 | "Her breathing came in measured" | | 3 | "she shouted, knowing it was" | | 4 | "They never stopped." | | 5 | "The suspect darted down an" | | 6 | "Quinn vaulted over the obstacle," | | 7 | "The secretive back-room meetings, the" | | 8 | "Quinn skidded around the corner," | | 9 | "The suspect was thirty yards" | | 10 | "Tonight was a full moon." | | 11 | "Her voice echoed off brick" | | 12 | "The suspect glanced back, his" | | 13 | "He disappeared down the station" | | 14 | "Quinn slowed as she approached" | | 15 | "Construction equipment sat dormant, tarpaulins" | | 16 | "She drew her service weapon," | | 17 | "She ducked through the gap" | | 18 | "The stairwell smelled of mildew" | | 19 | "Her tactical light cut through" |
| | ratio | 0.802 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 101 | | matches | (empty) | | ratio | 0 | |
| 88.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 4 | | matches | | 0 | "The secretive back-room meetings, the strange clientele, the whispered conversations that stopped whenever she approached – all pointing to something bigger tha…" | | 1 | "Quinn skidded around the corner, boots splashing through puddles that reflected fractured neon signs." | | 2 | "Something that might finally explain the inexplicable circumstances that had haunted her for three years." | | 3 | "The rain continued to fall on the streets above, washing away the boundaries between worlds that had never been as solid as she'd believed." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 5 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "Tomás explained (explain)" | | 2 | "Quinn demanded (demand)" | | 3 | "Tomás continued (continue)" | | 4 | "Quinn added (add)" |
| | dialogueSentences | 29 | | tagDensity | 0.172 | | leniency | 0.345 | | rawRatio | 1 | | effectiveRatio | 0.345 | |