| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "A whisper curled around [around]" |
| | dialogueSentences | 25 | | tagDensity | 0.56 | | leniency | 1 | | rawRatio | 0.071 | | effectiveRatio | 0.071 | |
| 93.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 824 | | 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) | |
| 2.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 824 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "weight" | | 1 | "echo" | | 2 | "glint" | | 3 | "scanning" | | 4 | "etched" | | 5 | "echoing" | | 6 | "glinting" | | 7 | "flickered" | | 8 | "vibrated" | | 9 | "fluttered" | | 10 | "whisper" | | 11 | "echoed" | | 12 | "depths" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 58 | | matches | (empty) | |
| 68.97% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 58 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 68 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 821 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 53.56% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 674 | | uniqueNames | 8 | | maxNameDensity | 1.93 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Tomás | 6 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Harlow | 13 | | London | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Harlow" |
| | places | | | globalScore | 0.536 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 1 | | matches | | 0 | "shadows that seemed to stretch toward Harlow" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 821 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 75.03% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 18.66 | | std | 7.7 | | cv | 0.413 | | sampleLengths | | 0 | 20 | | 1 | 32 | | 2 | 27 | | 3 | 24 | | 4 | 7 | | 5 | 12 | | 6 | 26 | | 7 | 10 | | 8 | 19 | | 9 | 29 | | 10 | 12 | | 11 | 11 | | 12 | 24 | | 13 | 47 | | 14 | 19 | | 15 | 19 | | 16 | 21 | | 17 | 15 | | 18 | 23 | | 19 | 11 | | 20 | 31 | | 21 | 19 | | 22 | 13 | | 23 | 20 | | 24 | 14 | | 25 | 19 | | 26 | 12 | | 27 | 17 | | 28 | 28 | | 29 | 15 | | 30 | 15 | | 31 | 15 | | 32 | 12 | | 33 | 10 | | 34 | 26 | | 35 | 14 | | 36 | 12 | | 37 | 14 | | 38 | 28 | | 39 | 12 | | 40 | 15 | | 41 | 13 | | 42 | 14 | | 43 | 25 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 125 | | matches | (empty) | |
| 16.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 68 | | ratio | 0.044 | | matches | | 0 | "He tossed it onto the floor; it clinked against the stone." | | 1 | "The maps fluttered, revealing a hidden symbol—a skeletal hand clutching a bone." | | 2 | "Harlow’s eyes snapped open to a flash of silver, the watch’s hands spinning wildly, and the silhouette of a hand—her own—reaching out from the darkness." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 677 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.014771048744460856 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005908419497784343 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 68 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 68 | | mean | 12.07 | | std | 5.11 | | cv | 0.423 | | sampleLengths | | 0 | 20 | | 1 | 11 | | 2 | 21 | | 3 | 15 | | 4 | 12 | | 5 | 14 | | 6 | 10 | | 7 | 7 | | 8 | 12 | | 9 | 15 | | 10 | 11 | | 11 | 10 | | 12 | 15 | | 13 | 4 | | 14 | 18 | | 15 | 11 | | 16 | 12 | | 17 | 9 | | 18 | 2 | | 19 | 10 | | 20 | 14 | | 21 | 15 | | 22 | 32 | | 23 | 10 | | 24 | 9 | | 25 | 3 | | 26 | 16 | | 27 | 4 | | 28 | 17 | | 29 | 6 | | 30 | 9 | | 31 | 9 | | 32 | 14 | | 33 | 11 | | 34 | 12 | | 35 | 19 | | 36 | 19 | | 37 | 13 | | 38 | 9 | | 39 | 6 | | 40 | 5 | | 41 | 10 | | 42 | 4 | | 43 | 12 | | 44 | 7 | | 45 | 3 | | 46 | 9 | | 47 | 6 | | 48 | 11 | | 49 | 16 |
| |
| 63.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.39705882352941174 | | totalSentences | 68 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 56 | | matches | | 0 | "She lunged, her boots splashing" | | 1 | "she hissed, slamming her palm" | | 2 | "His scarred forearm flexed as" | | 3 | "He reached into his pocket," | | 4 | "He tossed it onto the" | | 5 | "she said, tucking the token" | | 6 | "He gestured to a table" | | 7 | "he said, voice flat" | | 8 | "He smiled, a thin, cruel" | | 9 | "she tried to shout, but" |
| | ratio | 0.179 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 56 | | matches | | 0 | "A hand snapped the coat" | | 1 | "Harlow’s voice cut through the" | | 2 | "She lunged, her boots splashing" | | 3 | "The suspect slipped into a" | | 4 | "Harlow slammed the door shut," | | 5 | "she hissed, slamming her palm" | | 6 | "The door gave way, revealing" | | 7 | "A low chuckle rose from" | | 8 | "a voice said, warm and" | | 9 | "Tomás Herrera stepped into the" | | 10 | "His scarred forearm flexed as" | | 11 | "Tomás replied, his eyes scanning" | | 12 | "He reached into his pocket," | | 13 | "He tossed it onto the" | | 14 | "Harlow caught it on the" | | 15 | "she said, tucking the token" | | 16 | "The stairwell spiralled down, each" | | 17 | "The air grew colder, a" | | 18 | "A rusted door at the" | | 19 | "Stalls lined the walls, their" |
| | ratio | 0.982 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 79.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 3 | | matches | | 0 | "She lunged, her boots splashing through puddles that reflected the green neon sign of The Raven’s Nest flickering above the alley." | | 1 | "Stalls lined the walls, their surfaces cluttered with strange artefacts: glass vials pulsing with amber light, iron knives etched with runes, and bundles of dri…" | | 2 | "Tomás lunged forward, his medallion flashing, but the hand tightened, pulling her toward the darkness." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 7 | | matches | | 0 | "Tomás replied, his eyes scanning the stairwell" | | 1 | "a merchant croaked, his voice gravelly" | | 2 | "the merchant whispered, as if the walls might overhear" | | 3 | "Harlow called, her voice echoing" | | 4 | "he said, voice flat" | | 5 | "Harlow began, but a hand clamped over her mouth, the fingers cold as ice" | | 6 | "she tried, but the darkness swallowed her words" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 7 | | fancyTags | | 0 | "she hissed (hiss)" | | 1 | "Harlow snapped (snap)" | | 2 | "a merchant croaked (croak)" | | 3 | "the merchant whispered (whisper)" | | 4 | "he hissed (hiss)" | | 5 | "she tried (try)" | | 6 | "Tomás shouted (shout)" |
| | dialogueSentences | 25 | | tagDensity | 0.48 | | leniency | 0.96 | | rawRatio | 0.583 | | effectiveRatio | 0.56 | |