| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1202 | | 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) | |
| 25.12% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1202 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "chill" | | 1 | "scanning" | | 2 | "velvet" | | 3 | "shattered" | | 4 | "rhythmic" | | 5 | "pulsed" | | 6 | "perfect" | | 7 | "chaotic" | | 8 | "encounter" | | 9 | "weight" | | 10 | "glinting" | | 11 | "etched" | | 12 | "gloom" | | 13 | "silence" | | 14 | "traced" | | 15 | "could feel" |
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| 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 | 1 | | narrationSentences | 79 | | matches | | |
| 70.52% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1200 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 62.83% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 803 | | uniqueNames | 11 | | maxNameDensity | 1.74 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | Tube | 1 | | Detective | 1 | | Harlow | 14 | | Quinn | 1 | | Miller | 4 | | Morris | 1 | | North | 1 | | South | 1 | | East | 1 | | West | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0.628 | | windowScore | 0.833 | |
| 68.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 2 | | matches | | 0 | "blur that seemed to fight against the casing" | | 1 | "tasted like copper on her tongue" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.833 | | wordCount | 1200 | | matches | | 0 | "Not a fragment, but a small, polished token carved into the shape of a key" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 19.35 | | std | 13.73 | | cv | 0.709 | | sampleLengths | | 0 | 53 | | 1 | 26 | | 2 | 2 | | 3 | 32 | | 4 | 7 | | 5 | 30 | | 6 | 25 | | 7 | 26 | | 8 | 24 | | 9 | 13 | | 10 | 36 | | 11 | 22 | | 12 | 9 | | 13 | 29 | | 14 | 6 | | 15 | 35 | | 16 | 4 | | 17 | 12 | | 18 | 28 | | 19 | 6 | | 20 | 21 | | 21 | 40 | | 22 | 14 | | 23 | 41 | | 24 | 12 | | 25 | 21 | | 26 | 6 | | 27 | 36 | | 28 | 3 | | 29 | 12 | | 30 | 6 | | 31 | 5 | | 32 | 57 | | 33 | 4 | | 34 | 15 | | 35 | 5 | | 36 | 37 | | 37 | 29 | | 38 | 22 | | 39 | 13 | | 40 | 18 | | 41 | 24 | | 42 | 17 | | 43 | 5 | | 44 | 31 | | 45 | 19 | | 46 | 34 | | 47 | 15 | | 48 | 10 | | 49 | 4 |
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| 91.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 79 | | matches | | 0 | "was scuffed" | | 1 | "were etched" | | 2 | "were etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 124 | | matches | | |
| 15.31% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 3 | | flaggedSentences | 5 | | totalSentences | 112 | | ratio | 0.045 | | matches | | 0 | "Beneath the layer of grime and decay, a scent lingered—ozonic and sharp, like the air right before a lightning strike." | | 1 | "It didn't reflect light; it swallowed it." | | 2 | "The silence of the station changed; it was no longer the absence of sound, but a heavy, expectant pressure." | | 3 | "The walls weren't just damp; they were etched." | | 4 | "Faint, hairline scratches traced patterns across the brickwork—the same sigils from the compass face." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 806 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavy, leather-bound book" |
| | adverbCount | 19 | | adverbRatio | 0.02357320099255583 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007444168734491315 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 10.71 | | std | 6.72 | | cv | 0.628 | | sampleLengths | | 0 | 18 | | 1 | 15 | | 2 | 20 | | 3 | 14 | | 4 | 12 | | 5 | 2 | | 6 | 2 | | 7 | 14 | | 8 | 16 | | 9 | 7 | | 10 | 6 | | 11 | 8 | | 12 | 16 | | 13 | 25 | | 14 | 4 | | 15 | 11 | | 16 | 6 | | 17 | 5 | | 18 | 5 | | 19 | 19 | | 20 | 13 | | 21 | 11 | | 22 | 4 | | 23 | 14 | | 24 | 7 | | 25 | 22 | | 26 | 9 | | 27 | 29 | | 28 | 6 | | 29 | 8 | | 30 | 12 | | 31 | 3 | | 32 | 5 | | 33 | 7 | | 34 | 4 | | 35 | 12 | | 36 | 28 | | 37 | 6 | | 38 | 21 | | 39 | 6 | | 40 | 24 | | 41 | 10 | | 42 | 14 | | 43 | 41 | | 44 | 12 | | 45 | 3 | | 46 | 9 | | 47 | 9 | | 48 | 3 | | 49 | 3 |
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| 39.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.2767857142857143 | | totalSentences | 112 | | uniqueOpeners | 31 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 78 | | matches | | 0 | "Instead, she watched how the" | | 1 | "Instead, strange, jagged sigils were" |
| | ratio | 0.026 | |
| 71.28% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 78 | | matches | | 0 | "She stepped over a rusted" | | 1 | "He gestured toward a smear" | | 2 | "He pulled a heavy, leather-bound" | | 3 | "She crouched, the joints in" | | 4 | "She didn't look at the" | | 5 | "She looked at the floor." | | 6 | "It flowed in rhythmic, concentric" | | 7 | "She didn't touch it." | | 8 | "It didn't reflect light; it" | | 9 | "They lay in perfect, equidistant" | | 10 | "She swept the beam across" | | 11 | "She felt the phantom weight" | | 12 | "He had died chasing a" | | 13 | "She moved toward the edge" | | 14 | "She spotted something glinting near" | | 15 | "She knelt, her leather watch" | | 16 | "It wasn't glass." | | 17 | "It was brass." | | 18 | "She picked up the object." | | 19 | "She turned it over." |
| | ratio | 0.372 | |
| 30.51% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 78 | | matches | | 0 | "The damp chill of the" | | 1 | "Dust motes danced in the" | | 2 | "She stepped over a rusted" | | 3 | "The beam landed on a" | | 4 | "Sergeant Miller stood ten feet" | | 5 | "He gestured toward a smear" | | 6 | "Miller knelt by a discarded" | | 7 | "The leather was scuffed, the" | | 8 | "He pulled a heavy, leather-bound" | | 9 | "Harlow approached the site." | | 10 | "She crouched, the joints in" | | 11 | "She didn't look at the" | | 12 | "She looked at the floor." | | 13 | "The iridescent smear didn't splatter." | | 14 | "It flowed in rhythmic, concentric" | | 15 | "Harlow reached out, her fingers" | | 16 | "She didn't touch it." | | 17 | "It didn't reflect light; it" | | 18 | "Miller stood up, wiping his" | | 19 | "Harlow pointed her light at" |
| | ratio | 0.859 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "It flowed in rhythmic, concentric circles, as if something had pulsed in the center of the station before vanishing." | | 1 | "The casing felt unnaturally cold, coated in a thick patina of verdigris that smelled of old pennies and salt." | | 2 | "It spun with a frantic, violent energy, a silver blur that seemed to fight against the casing." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |