| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "a voice whispered close [close]" |
| | dialogueSentences | 12 | | tagDensity | 0.583 | | leniency | 1 | | rawRatio | 0.143 | | effectiveRatio | 0.143 | |
| 94.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 836 | | 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) | |
| 4.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 836 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | word | "down her spine" | | count | 1 |
| | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "rhythmic" | | 1 | "gloom" | | 2 | "cacophony" | | 3 | "echoing" | | 4 | "solitary" | | 5 | "jaw clenched" | | 6 | "racing" | | 7 | "silence" | | 8 | "down her spine" | | 9 | "navigating" | | 10 | "shimmered" | | 11 | "glinting" | | 12 | "familiar" | | 13 | "unspoken" | | 14 | "clandestine" | | 15 | "intensity" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "jaw clenched" | | 1 | "The air was heavy with" | | 2 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 43 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 43 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 49 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 4 | | totalWords | 829 | | ratio | 0.005 | | matches | | 0 | "_" | | 1 | "Scene Continuation Point" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 27.55% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 735 | | uniqueNames | 17 | | maxNameDensity | 2.45 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 18 | | Raven | 1 | | Nest | 1 | | Camden | 1 | | Veil | 2 | | Market | 3 | | Tube | 1 | | Morris | 1 | | Tomás | 1 | | Herrera | 2 | | Saint | 1 | | Christopher | 1 | | Hooded | 1 | | Figure | 1 | | Continuation | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Camden" | | 4 | "Market" | | 5 | "Morris" | | 6 | "Tomás" | | 7 | "Herrera" | | 8 | "Saint" | | 9 | "Christopher" | | 10 | "Figure" |
| | places | | 0 | "Soho" | | 1 | "Veil" | | 2 | "Continuation" |
| | globalScore | 0.276 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | 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 | 829 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 49 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 39.48 | | std | 22.5 | | cv | 0.57 | | sampleLengths | | 0 | 90 | | 1 | 68 | | 2 | 72 | | 3 | 46 | | 4 | 12 | | 5 | 54 | | 6 | 17 | | 7 | 36 | | 8 | 26 | | 9 | 60 | | 10 | 38 | | 11 | 58 | | 12 | 49 | | 13 | 39 | | 14 | 21 | | 15 | 31 | | 16 | 19 | | 17 | 53 | | 18 | 33 | | 19 | 4 | | 20 | 3 |
| |
| 97.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 43 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 112 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 49 | | ratio | 0.061 | | matches | | 0 | "Quinn's sharp jaw clenched in hesitation—the entrance to the Veil Market, if her informant was to be trusted." | | 1 | "The detective's grip on her jacket pocket, where her police notebook was stashed, tightened; this was a whole new level of criminal activity." | | 2 | "Quinn recognized the emblem on the stall's banner—a snake consuming its tail—as associated with the clique her investigation had been circling around for months." |
| |
| 97.10% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 536 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.041044776119402986 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.022388059701492536 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 49 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 49 | | mean | 16.92 | | std | 7.19 | | cv | 0.425 | | sampleLengths | | 0 | 17 | | 1 | 15 | | 2 | 28 | | 3 | 30 | | 4 | 15 | | 5 | 15 | | 6 | 16 | | 7 | 22 | | 8 | 14 | | 9 | 18 | | 10 | 21 | | 11 | 19 | | 12 | 14 | | 13 | 24 | | 14 | 8 | | 15 | 12 | | 16 | 9 | | 17 | 15 | | 18 | 30 | | 19 | 15 | | 20 | 2 | | 21 | 19 | | 22 | 17 | | 23 | 26 | | 24 | 20 | | 25 | 15 | | 26 | 25 | | 27 | 16 | | 28 | 19 | | 29 | 3 | | 30 | 15 | | 31 | 20 | | 32 | 23 | | 33 | 25 | | 34 | 24 | | 35 | 22 | | 36 | 17 | | 37 | 16 | | 38 | 5 | | 39 | 31 | | 40 | 19 | | 41 | 16 | | 42 | 11 | | 43 | 17 | | 44 | 9 | | 45 | 26 | | 46 | 7 | | 47 | 4 | | 48 | 3 |
| |
| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.6122448979591837 | | totalSentences | 49 | | uniqueOpeners | 30 | |
| 77.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 43 | | matches | | 0 | "Then, in a movement almost" |
| | ratio | 0.023 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 5 | | totalSentences | 43 | | matches | | 0 | "Her quarry, a hooded individual," | | 1 | "Her suspect didn't flinch, vanishing" | | 2 | "Her hand instinctively went to" | | 3 | "They wove through the throng," | | 4 | "She knew him, or at" |
| | ratio | 0.116 | |
| 64.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 34 | | totalSentences | 43 | | matches | | 0 | "Rain lashed down on the" | | 1 | "Detective Harlow Quinn's eyes, narrowed" | | 2 | "Her quarry, a hooded individual," | | 3 | "Quinn shouted above the rain's" | | 4 | "Her suspect didn't flinch, vanishing" | | 5 | "Quinn followed, her worn leather" | | 6 | "A solitary streetlamp cast eerie" | | 7 | "Quinn's sharp jaw clenched in" | | 8 | "A place where the city's" | | 9 | "Her hand instinctively went to" | | 10 | "A figure, shrouded in shadows," | | 11 | "The voice was as rough" | | 12 | "Quinn's eyes locked onto the" | | 13 | "Quinn stated, her tone firm," | | 14 | "The guardian of the entrance" | | 15 | "Quinn's gaze pierced the dim" | | 16 | "The air was heavy with" | | 17 | "Stalls selling everything from glowing" | | 18 | "a voice whispered close to" | | 19 | "The hooded figure from the" |
| | ratio | 0.791 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 43 | | matches | | 0 | "To proceed would mean compromising" | | 1 | "Yet, to turn back now" |
| | ratio | 0.047 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "A solitary streetlamp cast eerie shadows on the walls, making it seem as if the very night was closing in around her." | | 1 | "The vendor, a gaunt figure with eyes that shimmered like the surface of dark water, handed the hooded individual a small pouch." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn shouted, the words echoing off the wet pavement" | | 1 | "Quinn stated, her tone firm, bypassing the token query" | | 2 | "figure muttered, turning to face Quinn with an unnerving smile" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 4 | | fancyTags | | 0 | "Quinn shouted (shout)" | | 1 | "Quinn stated (state)" | | 2 | "a voice whispered close (whisper)" | | 3 | "figure muttered (mutter)" |
| | dialogueSentences | 12 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0.8 | | effectiveRatio | 0.667 | |