| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 711 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 22.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 711 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "jaw clenched" | | 1 | "pulsed" | | 2 | "pulse" | | 3 | "velvet" | | 4 | "silence" | | 5 | "stark" | | 6 | "echoed" | | 7 | "flickered" | | 8 | "dancing" | | 9 | "gloom" | | 10 | "silk" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 69 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 17.66% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 16 | | markdownWords | 64 | | totalWords | 702 | | ratio | 0.091 | | matches | | 0 | "The Raven’s Nest." | | 1 | "No." | | 2 | "\"You’re either brave or stupid.\"" | | 3 | "\"You’re not supposed to be here,\"" | | 4 | "\"Neither are you.\"" | | 5 | "\"What’s in there?\"" | | 6 | "\"A market.\"" | | 7 | "\"Underground. Dangerous. Not for the faint of heart.\"" | | 8 | "\"I don’t care.\"" | | 9 | "\"Bone token,\"" | | 10 | "\"Lets you in. But once you’re in, you’re in.\"" | | 11 | "\"Why are you here?\"" | | 12 | "\"Same reason you are.\"" | | 13 | "a sharp curse, a scuffle." | | 14 | "\"Then let’s go,\"" | | 15 | "\"Let’s find them.\"" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 15.72% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 633 | | uniqueNames | 7 | | maxNameDensity | 2.69 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 17 | | Soho | 1 | | Raven | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 4 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Tomás" |
| | places | | | globalScore | 0.157 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | 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 | 702 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 21.94 | | std | 20.25 | | cv | 0.923 | | sampleLengths | | 0 | 59 | | 1 | 52 | | 2 | 55 | | 3 | 4 | | 4 | 51 | | 5 | 63 | | 6 | 37 | | 7 | 2 | | 8 | 36 | | 9 | 10 | | 10 | 22 | | 11 | 6 | | 12 | 5 | | 13 | 2 | | 14 | 47 | | 15 | 11 | | 16 | 10 | | 17 | 6 | | 18 | 16 | | 19 | 8 | | 20 | 37 | | 21 | 8 | | 22 | 6 | | 23 | 7 | | 24 | 21 | | 25 | 5 | | 26 | 38 | | 27 | 55 | | 28 | 3 | | 29 | 7 | | 30 | 10 | | 31 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 69 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 108 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 78 | | ratio | 0.103 | | matches | | 0 | "The suspect had bolted down a side alley near the river, and Quinn didn’t hesitate—she followed, her leather watch ticking against her wrist like a metronome counting down to the inevitable." | | 1 | "The alley reeked of damp stone and something sharper—oil, maybe, or the faint metallic tang of blood." | | 2 | "*The Raven’s Nest.* Quinn recognised it—Silas’ bar, a place rumoured to be a front for something darker." | | 3 | "The walls were lined with yellowed maps and black-and-white photographs—faces she didn’t recognise, places she’d never seen." | | 4 | "She could—" | | 5 | "The suspect’s voice echoed from the other side of the door—*a sharp curse, a scuffle.* Quinn’s grip tightened on the bone." | | 6 | "The air beyond was thick with the scent of damp earth and something older—something that made her skin prickle." | | 7 | "And the suspect—" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 219 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 4 | | adverbRatio | 0.0182648401826484 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0045662100456621 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 9 | | std | 5.92 | | cv | 0.658 | | sampleLengths | | 0 | 15 | | 1 | 13 | | 2 | 31 | | 3 | 15 | | 4 | 17 | | 5 | 13 | | 6 | 5 | | 7 | 2 | | 8 | 18 | | 9 | 12 | | 10 | 15 | | 11 | 10 | | 12 | 4 | | 13 | 11 | | 14 | 17 | | 15 | 11 | | 16 | 3 | | 17 | 5 | | 18 | 4 | | 19 | 18 | | 20 | 15 | | 21 | 17 | | 22 | 13 | | 23 | 15 | | 24 | 13 | | 25 | 4 | | 26 | 5 | | 27 | 2 | | 28 | 13 | | 29 | 4 | | 30 | 9 | | 31 | 6 | | 32 | 3 | | 33 | 1 | | 34 | 10 | | 35 | 12 | | 36 | 3 | | 37 | 5 | | 38 | 2 | | 39 | 6 | | 40 | 5 | | 41 | 2 | | 42 | 20 | | 43 | 12 | | 44 | 15 | | 45 | 11 | | 46 | 7 | | 47 | 3 | | 48 | 3 | | 49 | 3 |
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| 52.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.358974358974359 | | totalSentences | 78 | | uniqueOpeners | 28 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 61 | | matches | | 0 | "Then, the neon sign." | | 1 | "Then, with a slow nod," |
| | ratio | 0.033 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 61 | | matches | | 0 | "She moved like a shadow," | | 1 | "She ducked beneath a flickering" | | 2 | "Her fingers twitched toward the" | | 3 | "She kept moving, her military" | | 4 | "It was a door." | | 5 | "She pushed through the door" | | 6 | "They knew she was there." | | 7 | "They shoved the books aside," | | 8 | "She could leave." | | 9 | "She could call for backup." | | 10 | "His scar, a thin white" | | 11 | "She didn’t move." | | 12 | "His voice was calm, almost" | | 13 | "He stepped aside, and Quinn" | | 14 | "They were already disappearing into" | | 15 | "She didn’t hesitate." |
| | ratio | 0.262 | |
| 0.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 61 | | matches | | 0 | "The rain fell in jagged" | | 1 | "She moved like a shadow," | | 2 | "The suspect had bolted down" | | 3 | "She ducked beneath a flickering" | | 4 | "The alley reeked of damp" | | 5 | "Her fingers twitched toward the" | | 6 | "Quinn’s boots splashed through puddles," | | 7 | "She kept moving, her military" | | 8 | "The rain drummed against her" | | 9 | "A jagged green glow pulsed" | | 10 | "*The Raven’s Nest.* Quinn recognised" | | 11 | "The suspect hesitated, glancing back" | | 12 | "Quinn’s pulse spiked." | | 13 | "This wasn’t just a bar." | | 14 | "It was a door." | | 15 | "She pushed through the door" | | 16 | "The air inside was thick," | | 17 | "The walls were lined with" | | 18 | "A bartender, gaunt and silent," | | 19 | "The suspect was already halfway" |
| | ratio | 0.918 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "The air inside was thick, stale, the kind of scent that clung to old secrets." | | 1 | "The air beyond was thick with the scent of damp earth and something older—something that made her skin prickle." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "*The Raven’s Nest.* Quinn recognised, a place rumoured to be a front for something darker" | | 1 | "Quinn said, her voice low" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0 | | effectiveRatio | 0 | |