| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 1 | | adverbTags | | 0 | "O'Malley's voice pitched high [high]" |
| | dialogueSentences | 49 | | tagDensity | 0.469 | | leniency | 0.939 | | rawRatio | 0.043 | | effectiveRatio | 0.041 | |
| 96.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1616 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1616 | | totalAiIsms | 33 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | | 26 | |
| | highlights | | 0 | "echoed" | | 1 | "tension" | | 2 | "synthetic" | | 3 | "standard" | | 4 | "anticipation" | | 5 | "weight" | | 6 | "etched" | | 7 | "trembled" | | 8 | "vibrated" | | 9 | "pulse" | | 10 | "intensity" | | 11 | "beacon" | | 12 | "spectral" | | 13 | "scanned" | | 14 | "rhythmic" | | 15 | "structure" | | 16 | "footsteps" | | 17 | "warmth" | | 18 | "resonance" | | 19 | "silence" | | 20 | "maw" | | 21 | "resonated" | | 22 | "aligned" | | 23 | "shattered" | | 24 | "fractured" | | 25 | "processed" | | 26 | "echoes" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 268 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 268 | | filterMatches | | | hedgeMatches | (empty) | |
| 91.68% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 293 | | gibberishSentences | 5 | | adjustedGibberishSentences | 5 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 5 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0.017 | | matches | | 0 | "\"Ropes leave textile weave marks. These cauterised instantly. Thermal bond. Restraints removed post-seal. Binding agents dissolved heat.\" Quinn stood." | | 1 | "\"Thorne managed front operations. Secret function served liaison role. Syndicate demands payment. Thorne possessed collateral. Unacceptable item. Sympathetic resonance artifact. He…" | | 2 | "\"Offering burned. Contract signed. Extraction failed. Client rejects performance. Default clause enforces forfeiture. Creditor claims asset.\"" | | 3 | "\"Thorne didn't commit suicide. Didn't suffer assault. Performed ritual binding. Invoked creditor. Summoned enforcement mechanism. Error in execution caused rejection. Entity return…" | | 4 | "\"Evacuation breaks containment perimeter. Entity follows trajectory of highest emotional resonance. Fear draws attention. Run triggers pursuit response.\" Quinn maintained stance." |
| |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1616 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 40.61% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 1097 | | uniqueNames | 21 | | maxNameDensity | 2.19 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Platform | 2 | | Tension | 1 | | Frayed | 1 | | Gloved | 1 | | Quinn | 24 | | Scrutiny | 1 | | Thorne | 4 | | Inspected | 1 | | Reached | 1 | | Tone | 1 | | Small | 1 | | Floor | 1 | | Highlighted | 1 | | Tremor | 1 | | Voice | 4 | | Quaver | 1 | | Hand | 2 | | Muscles | 1 | | Breathing | 1 | | Saliva | 1 | | Entity | 3 |
| | persons | | 0 | "Tension" | | 1 | "Quinn" | | 2 | "Scrutiny" | | 3 | "Thorne" | | 4 | "Tone" | | 5 | "Small" | | 6 | "Highlighted" | | 7 | "Tremor" | | 8 | "Voice" | | 9 | "Quaver" | | 10 | "Hand" | | 11 | "Muscles" | | 12 | "Saliva" | | 13 | "Entity" |
| | places | (empty) | | globalScore | 0.406 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | 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 | 1616 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 293 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 29.93 | | std | 17.26 | | cv | 0.577 | | sampleLengths | | 0 | 71 | | 1 | 35 | | 2 | 14 | | 3 | 26 | | 4 | 39 | | 5 | 52 | | 6 | 36 | | 7 | 6 | | 8 | 77 | | 9 | 12 | | 10 | 49 | | 11 | 11 | | 12 | 34 | | 13 | 35 | | 14 | 61 | | 15 | 18 | | 16 | 40 | | 17 | 22 | | 18 | 43 | | 19 | 49 | | 20 | 22 | | 21 | 69 | | 22 | 40 | | 23 | 19 | | 24 | 37 | | 25 | 27 | | 26 | 9 | | 27 | 48 | | 28 | 18 | | 29 | 26 | | 30 | 45 | | 31 | 16 | | 32 | 11 | | 33 | 29 | | 34 | 39 | | 35 | 14 | | 36 | 32 | | 37 | 48 | | 38 | 47 | | 39 | 35 | | 40 | 16 | | 41 | 17 | | 42 | 32 | | 43 | 13 | | 44 | 11 | | 45 | 27 | | 46 | 8 | | 47 | 34 | | 48 | 11 | | 49 | 11 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 268 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 299 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 293 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1107 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.017163504968383016 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006323396567299007 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 293 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 293 | | mean | 5.52 | | std | 4.79 | | cv | 0.869 | | sampleLengths | | 0 | 6 | | 1 | 5 | | 2 | 10 | | 3 | 6 | | 4 | 7 | | 5 | 12 | | 6 | 4 | | 7 | 10 | | 8 | 5 | | 9 | 3 | | 10 | 3 | | 11 | 10 | | 12 | 4 | | 13 | 8 | | 14 | 7 | | 15 | 3 | | 16 | 3 | | 17 | 8 | | 18 | 6 | | 19 | 10 | | 20 | 7 | | 21 | 8 | | 22 | 1 | | 23 | 4 | | 24 | 35 | | 25 | 6 | | 26 | 6 | | 27 | 2 | | 28 | 4 | | 29 | 9 | | 30 | 7 | | 31 | 9 | | 32 | 2 | | 33 | 7 | | 34 | 2 | | 35 | 2 | | 36 | 2 | | 37 | 13 | | 38 | 6 | | 39 | 11 | | 40 | 4 | | 41 | 2 | | 42 | 4 | | 43 | 7 | | 44 | 3 | | 45 | 1 | | 46 | 20 | | 47 | 5 | | 48 | 6 | | 49 | 5 |
| |
| 99.66% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.8225255972696246 | | totalSentences | 293 | | uniqueOpeners | 241 | |
| 15.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 217 | | matches | | 0 | "Only sensation persisted." |
| | ratio | 0.005 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 217 | | matches | | 0 | "She shoved the steel barrier" | | 1 | "She ignored the mark." | | 2 | "Her left hand rested on" | | 3 | "He clutched a clipboard to" | | 4 | "She bent further" | | 5 | "She extracted the device" | | 6 | "She moved toward tunnel mouth" | | 7 | "She angled beam" | | 8 | "She turned back to body." |
| | ratio | 0.041 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 150 | | totalSentences | 217 | | matches | | 0 | "Quinn wrenched the rusted turnstile" | | 1 | "Metal shrieked against corroded bolts." | | 2 | "Hinges groaned a protest that" | | 3 | "She shoved the steel barrier" | | 4 | "Boots crunched on broken glass" | | 5 | "A smear of dark blood" | | 6 | "She ignored the mark." | | 7 | "Her left hand rested on" | | 8 | "Military precision governed her breathing." | | 9 | "DC O'Malley stood near the" | | 10 | "He clutched a clipboard to" | | 11 | "Knuckles blanch white." | | 12 | "Posture braced tense." | | 13 | "O'Malley's voice pitched high" | | 14 | "Tension shredded the usual clipped" | | 15 | "Quinn stepped over a coil" | | 16 | "Scent of ozone and rotting" | | 17 | "O'Malley tapped the paper." | | 18 | "Quinn advanced toward the prone" | | 19 | "Thorne lay sprawled on his" |
| | ratio | 0.691 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 217 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 6 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 27.55% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 6 | | fancyTags | | 0 | "Quinn noted (note)" | | 1 | "O'Malley speculated (speculate)" | | 2 | "Quinn murmured (murmur)" | | 3 | "Quinn deduced (deduce)" | | 4 | "Quinn warned (warn)" | | 5 | "Quinn maintained (maintain)" |
| | dialogueSentences | 49 | | tagDensity | 0.163 | | leniency | 0.327 | | rawRatio | 0.75 | | effectiveRatio | 0.245 | |