| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1284 | | 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) | |
| 29.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1284 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "glinting" | | 1 | "scanning" | | 2 | "tension" | | 3 | "silence" | | 4 | "pulse" | | 5 | "flickered" | | 6 | "whisper" | | 7 | "unreadable" | | 8 | "shimmered" | | 9 | "flicked" | | 10 | "echoed" | | 11 | "trembled" | | 12 | "shattered" |
| |
| 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 | 134 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 134 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 46 | | totalWords | 1267 | | ratio | 0.036 | | matches | | 0 | "\"You do not belong here, little detective.\"" | | 1 | "\"Suspects are for your world. This is ours.\"" | | 2 | "\"He has business here. You do not.\"" | | 3 | "\"A crossroads,\"" | | 4 | "\"A meeting place. A market. A warning.\"" | | 5 | "\"The Veil thins,\"" | | 6 | "\"And you are not welcome in the hours between.\"" | | 7 | "The Raven’s Nest." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 65.25% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1180 | | uniqueNames | 8 | | maxNameDensity | 1.69 | | worstName | "Herrera" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 19 | | Herrera | 20 | | Saint | 2 | | Christopher | 2 | | Spanish | 1 | | Veil | 1 | | Market | 1 | | Raven | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Herrera" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Market" | | 5 | "Raven" |
| | places | | | globalScore | 0.653 | | windowScore | 0.667 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like chalk" | | 1 | "looked like a bird but moved like smoke" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.789 | | wordCount | 1267 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 149 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 26.96 | | std | 16.49 | | cv | 0.612 | | sampleLengths | | 0 | 59 | | 1 | 27 | | 2 | 32 | | 3 | 67 | | 4 | 1 | | 5 | 31 | | 6 | 53 | | 7 | 27 | | 8 | 50 | | 9 | 36 | | 10 | 31 | | 11 | 54 | | 12 | 19 | | 13 | 43 | | 14 | 54 | | 15 | 60 | | 16 | 21 | | 17 | 9 | | 18 | 39 | | 19 | 10 | | 20 | 24 | | 21 | 12 | | 22 | 42 | | 23 | 13 | | 24 | 12 | | 25 | 6 | | 26 | 42 | | 27 | 13 | | 28 | 8 | | 29 | 22 | | 30 | 16 | | 31 | 8 | | 32 | 36 | | 33 | 39 | | 34 | 26 | | 35 | 9 | | 36 | 25 | | 37 | 14 | | 38 | 26 | | 39 | 12 | | 40 | 23 | | 41 | 37 | | 42 | 23 | | 43 | 14 | | 44 | 22 | | 45 | 13 | | 46 | 7 |
| |
| 89.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 134 | | matches | | 0 | "were lined" | | 1 | "been arranged" | | 2 | "were lined" | | 3 | "was gone" | | 4 | "been flipped" | | 5 | "were lined" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 208 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 149 | | ratio | 0.067 | | matches | | 0 | "The suspect’s coat—dark wool, expensive—flashed ahead, its hem snagging on a wrought-iron fence." | | 1 | "Then—a scuffle of gravel." | | 2 | "Opposite him, a figure in a long coat—hood up, face obscured—held out a small bone token." | | 3 | "Just the faint, earthy scent of damp stone and something older—something that made the hairs on her arms stand on end." | | 4 | "Ahead, a tunnel stretched into darkness, its mouth framed by two skeletal figures—human, or close enough." | | 5 | "She’d heard whispers of it—off-duty officers trading stories over pints, their voices hushed, their laughter uneasy." | | 6 | "A dozen pairs of eyes—some human, some not—fixed on her." | | 7 | "Stalls sold things she couldn’t name—jars of swirling mist, stacks of coins that hummed when touched, a cage containing something that looked like a bird but moved like smoke." | | 8 | "A sound echoed through the chamber—a deep, resonant chime, like a bell tolling underwater." | | 9 | "Then—light." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1197 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.034252297410192145 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006683375104427736 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 8.5 | | std | 5.29 | | cv | 0.622 | | sampleLengths | | 0 | 14 | | 1 | 13 | | 2 | 12 | | 3 | 20 | | 4 | 6 | | 5 | 2 | | 6 | 10 | | 7 | 9 | | 8 | 15 | | 9 | 7 | | 10 | 2 | | 11 | 8 | | 12 | 10 | | 13 | 9 | | 14 | 9 | | 15 | 9 | | 16 | 17 | | 17 | 13 | | 18 | 1 | | 19 | 4 | | 20 | 8 | | 21 | 12 | | 22 | 7 | | 23 | 13 | | 24 | 16 | | 25 | 11 | | 26 | 2 | | 27 | 2 | | 28 | 9 | | 29 | 6 | | 30 | 11 | | 31 | 10 | | 32 | 3 | | 33 | 11 | | 34 | 17 | | 35 | 10 | | 36 | 9 | | 37 | 11 | | 38 | 2 | | 39 | 2 | | 40 | 21 | | 41 | 13 | | 42 | 13 | | 43 | 2 | | 44 | 1 | | 45 | 2 | | 46 | 10 | | 47 | 12 | | 48 | 16 | | 49 | 16 |
| |
| 43.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.28187919463087246 | | totalSentences | 149 | | uniqueOpeners | 42 | |
| 57.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 116 | | matches | | 0 | "Then—a scuffle of gravel." | | 1 | "Just the faint, earthy scent" |
| | ratio | 0.017 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 116 | | matches | | 0 | "She didn’t need the streetlamp’s" | | 1 | "He knew these streets better" | | 2 | "She jumped, fingers scraping metal," | | 3 | "She edged forward, peering over" | | 4 | "She swung down the fire" | | 5 | "She approached the doorway, her" | | 6 | "She pulled her torch from" | | 7 | "Their bones had been arranged" | | 8 | "She’d seen enough crime scenes" | | 9 | "She followed, her torch beam" | | 10 | "She’d heard whispers of it—off—duty" | | 11 | "They moved silently between the" | | 12 | "He knew she was there." | | 13 | "They tilted their head, the" | | 14 | "She ignored him, her gaze" | | 15 | "She yanked free of Herrera’s" | | 16 | "He pulled her toward a" | | 17 | "His Saint Christopher medallion glinted" | | 18 | "His gaze flicked to the" |
| | ratio | 0.164 | |
| 28.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 100 | | totalSentences | 116 | | matches | | 0 | "The pavement cracked under Quinn’s" | | 1 | "The suspect’s coat—dark wool, expensive—flashed" | | 2 | "She didn’t need the streetlamp’s" | | 3 | "The way he moved, all" | | 4 | "A siren wailed two streets" | | 5 | "Quinn’s radio hissed static, but" | | 6 | "Backup would only spook him" | | 7 | "Herrera cut left into an" | | 8 | "He knew these streets better" | | 9 | "Quinn followed, her leather watch" | | 10 | "The alley reeked of stale" | | 11 | "A fire escape ladder dangled" | | 12 | "She jumped, fingers scraping metal," | | 13 | "The soles of her boots" | | 14 | "Herrera’s voice, low and rapid," | | 15 | "Quinn couldn’t make out the" | | 16 | "She edged forward, peering over" | | 17 | "The air between them hummed," | | 18 | "A current, like the moment" | | 19 | "The hooded figure tossed the" |
| | ratio | 0.862 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 116 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 4 | | matches | | 0 | "The way he moved, all controlled urgency, like a man who’d spent years dodging ambulances and now dodged something worse." | | 1 | "Just the faint, earthy scent of damp stone and something older—something that made the hairs on her arms stand on end." | | 2 | "They moved silently between the stalls, their hands brushing over jars of glowing liquid, bundles of feathers, stacks of yellowed paper covered in symbols." | | 3 | "Stalls sold things she couldn’t name—jars of swirling mist, stacks of coins that hummed when touched, a cage containing something that looked like a bird but mo…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "figure whispered (whisper)" |
| | dialogueSentences | 18 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0.5 | | effectiveRatio | 0.111 | |