| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.371 | | leniency | 0.743 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.65% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 966 | | 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) | |
| 37.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 966 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "flickered" | | 1 | "scanning" | | 2 | "shimmered" | | 3 | "synthetic" | | 4 | "standard" | | 5 | "jaw clenched" | | 6 | "etched" | | 7 | "pulse" | | 8 | "quickened" | | 9 | "footsteps" |
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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 | 105 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 105 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 126 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 7 | | totalWords | 951 | | ratio | 0.007 | | matches | | 0 | "Unresolved – DS Morris Case 214-X" | | 1 | "Transitus." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 696 | | uniqueNames | 9 | | maxNameDensity | 1.15 | | worstName | "Graves" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Graves" | | discoveredNames | | Camden | 1 | | Town | 1 | | Harlow | 1 | | Quinn | 6 | | Liam | 1 | | Graves | 8 | | Morris | 1 | | Case | 1 | | Latin | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Liam" | | 3 | "Graves" | | 4 | "Morris" |
| | places | | | globalScore | 0.925 | | windowScore | 0.833 | |
| 30.95% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 2 | | matches | | 0 | "tasted like night" | | 1 | "something like it before" |
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| 94.85% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.052 | | wordCount | 951 | | matches | | 0 | "not north, but directly at the wall behind her" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 126 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 16.98 | | std | 17.79 | | cv | 1.048 | | sampleLengths | | 0 | 76 | | 1 | 61 | | 2 | 70 | | 3 | 46 | | 4 | 14 | | 5 | 6 | | 6 | 49 | | 7 | 5 | | 8 | 24 | | 9 | 32 | | 10 | 4 | | 11 | 1 | | 12 | 39 | | 13 | 19 | | 14 | 32 | | 15 | 4 | | 16 | 57 | | 17 | 3 | | 18 | 29 | | 19 | 15 | | 20 | 5 | | 21 | 2 | | 22 | 5 | | 23 | 30 | | 24 | 3 | | 25 | 3 | | 26 | 6 | | 27 | 11 | | 28 | 17 | | 29 | 20 | | 30 | 7 | | 31 | 13 | | 32 | 2 | | 33 | 4 | | 34 | 20 | | 35 | 16 | | 36 | 3 | | 37 | 7 | | 38 | 13 | | 39 | 5 | | 40 | 4 | | 41 | 18 | | 42 | 7 | | 43 | 7 | | 44 | 21 | | 45 | 27 | | 46 | 1 | | 47 | 7 | | 48 | 10 | | 49 | 6 |
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| 91.90% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 105 | | matches | | 0 | "was cordoned" | | 1 | "were etched" | | 2 | "being moved" | | 3 | "was gone" |
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| 61.11% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 144 | | matches | | 0 | "wasn’t reflecting" | | 1 | "was waking" | | 2 | "was seeing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 126 | | ratio | 0.071 | | matches | | 0 | "The air reeked of mildew and something sharper—ozone, maybe, or burnt metal." | | 1 | "Detective Harlow Quinn stepped carefully over a warped rail sleeper, her boots crunching something brittle—glass, or maybe bone." | | 2 | "On his belt, a small pouch dangled—empty, its drawstring neatly severed." | | 3 | "It flaked off like ash, but underneath, the tiles were etched—thin, deliberate lines forming a sigil." | | 4 | "The one marked *Unresolved – DS Morris Case 214-X*." | | 5 | "Her eyes caught on something near the third rail—something small, brass, half-buried in the grit." | | 6 | "The glass face cracked, but the needle spun—erratically, wildly—before settling, pointing not north, but directly at the wall behind her." | | 7 | "The tape still hung, but their gear—the kits, the lights—vanishes." | | 8 | "They formed a circle, broken at one point—the entrance." |
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| 99.16% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 708 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.04096045197740113 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.014124293785310734 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 126 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 126 | | mean | 7.55 | | std | 6.92 | | cv | 0.916 | | sampleLengths | | 0 | 17 | | 1 | 12 | | 2 | 23 | | 3 | 24 | | 4 | 18 | | 5 | 4 | | 6 | 39 | | 7 | 7 | | 8 | 16 | | 9 | 43 | | 10 | 4 | | 11 | 3 | | 12 | 8 | | 13 | 10 | | 14 | 11 | | 15 | 14 | | 16 | 14 | | 17 | 6 | | 18 | 3 | | 19 | 21 | | 20 | 3 | | 21 | 3 | | 22 | 4 | | 23 | 4 | | 24 | 11 | | 25 | 5 | | 26 | 6 | | 27 | 18 | | 28 | 6 | | 29 | 6 | | 30 | 1 | | 31 | 5 | | 32 | 5 | | 33 | 9 | | 34 | 4 | | 35 | 1 | | 36 | 12 | | 37 | 17 | | 38 | 10 | | 39 | 2 | | 40 | 17 | | 41 | 8 | | 42 | 24 | | 43 | 4 | | 44 | 7 | | 45 | 8 | | 46 | 3 | | 47 | 16 | | 48 | 6 | | 49 | 3 |
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| 65.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.448 | | totalSentences | 125 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 85 | | matches | | 0 | "Instead, she reached into her" | | 1 | "Then pointed to the ceiling." | | 2 | "Then went out." | | 3 | "Then, faintly, a sound." |
| | ratio | 0.047 | |
| 55.29% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 85 | | matches | | 0 | "She didn’t look down." | | 1 | "Her eyes were already scanning:" | | 2 | "He gestured toward the victim’s" | | 3 | "She circled the body, crouched" | | 4 | "His jacket was high-collared, lined" | | 5 | "she said, voice flat, She" | | 6 | "She didn’t answer." | | 7 | "It wasn’t cotton." | | 8 | "It wasn’t synthetic." | | 9 | "She held it up." | | 10 | "It caught the light like" | | 11 | "She tapped her worn leather" | | 12 | "she repeated, stepping back, sweeping" | | 13 | "She gestured at the ground" | | 14 | "she shot back" | | 15 | "She ignored him, walking to" | | 16 | "She ran her fingers along" | | 17 | "It wasn’t soot." | | 18 | "It flaked off like ash," | | 19 | "She’d seen something like it" |
| | ratio | 0.412 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 85 | | matches | | 0 | "Rainwater dripped through a collapsed" | | 1 | "The air reeked of mildew" | | 2 | "Detective Harlow Quinn stepped carefully" | | 3 | "She didn’t look down." | | 4 | "Her eyes were already scanning:" | | 5 | "DS Liam Graves stood near" | | 6 | "He gestured toward the victim’s" | | 7 | "Quinn didn’t answer." | | 8 | "She circled the body, crouched" | | 9 | "The man wore leather gloves," | | 10 | "His jacket was high-collared, lined" | | 11 | "she said, voice flat, She" | | 12 | "She didn’t answer." | | 13 | "It wasn’t cotton." | | 14 | "It wasn’t synthetic." | | 15 | "She held it up." | | 16 | "It caught the light like" | | 17 | "Quinn straightened, her sharp jaw" | | 18 | "She tapped her worn leather" | | 19 | "Sunrise had come and gone." |
| | ratio | 0.682 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 85 | | matches | | 0 | "Now, it was cordoned off" | | 1 | "Now she saw it." |
| | ratio | 0.024 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 2 | | matches | | 0 | "Now, it was cordoned off with yellow tape marked MET POLICE, fluttering like a trapped bird in the draft that slithered through the tunnels." | | 1 | "His jacket was high-collared, lined with something that shimmered faintly when the light shifted." |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, voice flat," | | 1 | "she asked, voice low" |
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| 92.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "she repeated (repeat)" | | 1 | "she murmured (murmur)" |
| | dialogueSentences | 35 | | tagDensity | 0.257 | | leniency | 0.514 | | rawRatio | 0.222 | | effectiveRatio | 0.114 | |