| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "He stepped aside [aside]" |
| | dialogueSentences | 32 | | tagDensity | 0.344 | | leniency | 0.688 | | rawRatio | 0.091 | | effectiveRatio | 0.063 | |
| 90.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1067 | | totalAiIsmAdverbs | 2 | | 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) | |
| 34.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1067 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "measured" | | 1 | "pulse" | | 2 | "weight" | | 3 | "scanned" | | 4 | "flickered" | | 5 | "silence" | | 6 | "glint" | | 7 | "flicked" | | 8 | "shimmered" | | 9 | "etched" | | 10 | "stomach" | | 11 | "jaw clenched" |
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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 | 101 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 101 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 123 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1051 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 763 | | uniqueNames | 9 | | maxNameDensity | 0.79 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Tomás" | | discoveredNames | | Oxford | 1 | | Street | 1 | | Quinn | 6 | | Morris | 2 | | Christopher | 1 | | Spanish | 1 | | Herrera | 1 | | Watch | 1 | | Tomás | 4 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Christopher" | | 3 | "Spanish" | | 4 | "Herrera" | | 5 | "Watch" | | 6 | "Tomás" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | 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 | 1051 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 123 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 22.85 | | std | 19.14 | | cv | 0.838 | | sampleLengths | | 0 | 72 | | 1 | 16 | | 2 | 2 | | 3 | 68 | | 4 | 45 | | 5 | 60 | | 6 | 5 | | 7 | 3 | | 8 | 37 | | 9 | 39 | | 10 | 71 | | 11 | 4 | | 12 | 20 | | 13 | 15 | | 14 | 21 | | 15 | 27 | | 16 | 2 | | 17 | 10 | | 18 | 11 | | 19 | 26 | | 20 | 8 | | 21 | 57 | | 22 | 3 | | 23 | 36 | | 24 | 15 | | 25 | 20 | | 26 | 25 | | 27 | 3 | | 28 | 7 | | 29 | 18 | | 30 | 17 | | 31 | 5 | | 32 | 30 | | 33 | 6 | | 34 | 32 | | 35 | 17 | | 36 | 20 | | 37 | 27 | | 38 | 9 | | 39 | 42 | | 40 | 12 | | 41 | 4 | | 42 | 8 | | 43 | 40 | | 44 | 29 | | 45 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 101 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 145 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 123 | | ratio | 0.081 | | matches | | 0 | "Her breath came short, clipped—controlled—but her pulse hammered in her temple." | | 1 | "The suspect—a man with a hood pulled low, moving with the twitchy urgency of someone who knew the weight of consequences—turned sharply into a narrow alley choked with overflowing bins and the stench of wet cardboard." | | 2 | "Her worn leather watch—Morris’s watch—ticked against her wrist with every stride, a quiet ghost counting the seconds between pursuit and confrontation." | | 3 | "The air changed instantly—warmer, drier, laced with something faintly metallic, like old blood or copper wire." | | 4 | "Then voices—whispers, haggling, laughter in languages she didn’t recognize." | | 5 | "Around his neck, the glint of metal—a medallion." | | 6 | "Quinn recognized the type—street medic, rogue, maybe worse." | | 7 | "She flicked the flashlight beam past him—and froze." | | 8 | "The Watch, the whispers, the way Morris had screamed before vanishing into thin air—none of it had been hallucination." | | 9 | "Somewhere, a bell chimed—three soft, resonant tones." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 661 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.03328290468986384 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.009077155824508321 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 123 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 123 | | mean | 8.54 | | std | 7.46 | | cv | 0.873 | | sampleLengths | | 0 | 16 | | 1 | 28 | | 2 | 11 | | 3 | 17 | | 4 | 16 | | 5 | 2 | | 6 | 36 | | 7 | 3 | | 8 | 23 | | 9 | 2 | | 10 | 2 | | 11 | 2 | | 12 | 21 | | 13 | 11 | | 14 | 3 | | 15 | 2 | | 16 | 2 | | 17 | 6 | | 18 | 12 | | 19 | 18 | | 20 | 12 | | 21 | 6 | | 22 | 2 | | 23 | 2 | | 24 | 8 | | 25 | 5 | | 26 | 3 | | 27 | 16 | | 28 | 11 | | 29 | 10 | | 30 | 9 | | 31 | 4 | | 32 | 10 | | 33 | 9 | | 34 | 7 | | 35 | 11 | | 36 | 12 | | 37 | 3 | | 38 | 10 | | 39 | 18 | | 40 | 9 | | 41 | 8 | | 42 | 2 | | 43 | 2 | | 44 | 8 | | 45 | 3 | | 46 | 9 | | 47 | 11 | | 48 | 4 | | 49 | 6 |
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| 54.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3821138211382114 | | totalSentences | 123 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 75 | | matches | | 0 | "Just a forgotten wound in" | | 1 | "Then voices—whispers, haggling, laughter in" | | 2 | "Just stood there, watching her" | | 3 | "Somewhere, a bell chimed—three soft," | | 4 | "Then renewed, louder, sharper." | | 5 | "Then reached into his vest" |
| | ratio | 0.08 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 75 | | matches | | 0 | "Her breath came short, clipped—controlled—but" | | 1 | "Her voice cracked over the" | | 2 | "She vaulted over a crate," | | 3 | "Her worn leather watch—Morris’s watch—ticked" | | 4 | "She hadn’t worn it on" | | 5 | "She slowed, her sharp jaw" | | 6 | "She unclipped her flashlight and" | | 7 | "He wore a frayed medical" | | 8 | "He didn’t startle." | | 9 | "His accent was Spanish, voice" | | 10 | "She didn’t reach for her" | | 11 | "He smiled, faint." | | 12 | "He stepped aside, gesturing with" | | 13 | "She flicked the flashlight beam" | | 14 | "Her stomach turned." | | 15 | "He wasn’t just a suspect." | | 16 | "He was one of *them*." | | 17 | "he said, stepping closer" | | 18 | "Her breath caught." | | 19 | "she said, jaw clenched" |
| | ratio | 0.293 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 75 | | matches | | 0 | "Rain slashed diagonally across Oxford" | | 1 | "Harlow Quinn’s leather boots struck" | | 2 | "Her breath came short, clipped—controlled—but" | | 3 | "Her voice cracked over the" | | 4 | "The suspect—a man with a" | | 5 | "Quinn didn’t hesitate." | | 6 | "She vaulted over a crate," | | 7 | "Her worn leather watch—Morris’s watch—ticked" | | 8 | "She hadn’t worn it on" | | 9 | "Tonight, she had." | | 10 | "The alley dead-ended at a" | | 11 | "The paint peeled like bark" | | 12 | "She slowed, her sharp jaw" | | 13 | "This wasn’t on any official" | | 14 | "Quinn stepped inside." | | 15 | "The air changed instantly—warmer, drier," | | 16 | "A single bulb flickered above" | | 17 | "She unclipped her flashlight and" | | 18 | "The deeper she went, the" | | 19 | "A low hum, almost subsonic," |
| | ratio | 0.72 | |
| 66.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 75 | | matches | | 0 | "Before she could argue, he" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 1 | | matches | | 0 | "The suspect—a man with a hood pulled low, moving with the twitchy urgency of someone who knew the weight of consequences—turned sharply into a narrow alley chok…" |
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| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn said, voice steady despite the tremor in her chest" | | 1 | "she said, jaw clenched" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "Spanish voice (spanish voice)" | | 1 | "Tomás murmured (murmur)" | | 2 | "he agreed (agree)" | | 3 | "she ordered (order)" |
| | dialogueSentences | 32 | | tagDensity | 0.281 | | leniency | 0.563 | | rawRatio | 0.444 | | effectiveRatio | 0.25 | |