| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 89.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 989 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 989 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "fractured" | | 1 | "mosaic" | | 2 | "rhythmic" | | 3 | "gloom" | | 4 | "silence" | | 5 | "scanning" | | 6 | "maw" | | 7 | "weight" | | 8 | "chill" | | 9 | "warmth" | | 10 | "vibrated" | | 11 | "dancing" | | 12 | "synchronized" | | 13 | "velvet" | | 14 | "silk" | | 15 | "predator" | | 16 | "tension" | | 17 | "familiar" | | 18 | "stomach" | | 19 | "predictable" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | 0 | "The weight of the silence" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 73 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 983 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 917 | | uniqueNames | 7 | | maxNameDensity | 0.76 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | Tube | 1 | | London | 1 | | Morris | 1 | | Metropolitan | 1 | | Police | 1 | | Quinn | 7 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 70.63% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a predator waiting for the ti" | | 1 | "sounded like dried teeth" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 983 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 32.77 | | std | 18.96 | | cv | 0.579 | | sampleLengths | | 0 | 68 | | 1 | 48 | | 2 | 53 | | 3 | 47 | | 4 | 27 | | 5 | 37 | | 6 | 8 | | 7 | 12 | | 8 | 12 | | 9 | 9 | | 10 | 19 | | 11 | 13 | | 12 | 55 | | 13 | 34 | | 14 | 15 | | 15 | 55 | | 16 | 32 | | 17 | 14 | | 18 | 14 | | 19 | 7 | | 20 | 5 | | 21 | 63 | | 22 | 49 | | 23 | 39 | | 24 | 38 | | 25 | 41 | | 26 | 48 | | 27 | 22 | | 28 | 36 | | 29 | 63 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 73 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 137 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 79 | | ratio | 0.063 | | matches | | 0 | "He pressed himself against a rusted metal door, sliding a small, jagged object—a piece of carved bone—into the hand of a hooded figure waiting in the gloom." | | 1 | "It smelled of old copper, dried lavender, and something unidentifiable—a musk like ozone before a lightning strike." | | 2 | "He didn't look like a criminal; he looked like a predator waiting for the tide to turn." | | 3 | "Quinn felt the familiar, cold knot of dread settle in her stomach—the same knot that had tightened three years ago when Morris disappeared into a void that the official reports couldn't name." | | 4 | "He didn't see her—not yet—but his gaze lingered on the shadows, a predator sensing a shift in the wind." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 926 | | adjectiveStacks | 1 | | stackExamples | | 0 | "distant, sickly green glow" |
| | adverbCount | 15 | | adverbRatio | 0.016198704103671708 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004319654427645789 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 12.44 | | std | 5.99 | | cv | 0.481 | | sampleLengths | | 0 | 19 | | 1 | 18 | | 2 | 19 | | 3 | 12 | | 4 | 10 | | 5 | 8 | | 6 | 12 | | 7 | 3 | | 8 | 15 | | 9 | 16 | | 10 | 19 | | 11 | 18 | | 12 | 6 | | 13 | 7 | | 14 | 27 | | 15 | 7 | | 16 | 14 | | 17 | 4 | | 18 | 9 | | 19 | 6 | | 20 | 15 | | 21 | 16 | | 22 | 8 | | 23 | 12 | | 24 | 12 | | 25 | 9 | | 26 | 19 | | 27 | 4 | | 28 | 9 | | 29 | 4 | | 30 | 19 | | 31 | 17 | | 32 | 15 | | 33 | 10 | | 34 | 8 | | 35 | 16 | | 36 | 8 | | 37 | 7 | | 38 | 17 | | 39 | 9 | | 40 | 10 | | 41 | 6 | | 42 | 13 | | 43 | 17 | | 44 | 15 | | 45 | 14 | | 46 | 14 | | 47 | 7 | | 48 | 5 | | 49 | 17 |
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| 33.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.24050632911392406 | | totalSentences | 79 | | uniqueOpeners | 19 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 66.58% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 73 | | matches | | 0 | "He moved with a frantic," | | 1 | "She checked the worn leather" | | 2 | "Her lungs burned, the damp" | | 3 | "She didn't slow." | | 4 | "Her stride maintained a rhythmic," | | 5 | "She reached for the holster" | | 6 | "He pressed himself against a" | | 7 | "She crouched low, scanning the" | | 8 | "She pressed the comms button," | | 9 | "She cut the connection." | | 10 | "It smelled of old copper," | | 11 | "It wasn't the rumble of" | | 12 | "It was a rhythmic, multi-tonal" | | 13 | "They weren't the usual Camden" | | 14 | "They wore heavy, layered fabrics," | | 15 | "He held up a small," | | 16 | "He moved toward a section" | | 17 | "She peered around the pillar." | | 18 | "He watched the crowd with" | | 19 | "He didn't look like a" |
| | ratio | 0.384 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 73 | | matches | | 0 | "The rain fell in thick," | | 1 | "Quinn tightened her grip on" | | 2 | "He moved with a frantic," | | 3 | "She checked the worn leather" | | 4 | "The seconds ticked past, indifferent" | | 5 | "Her lungs burned, the damp" | | 6 | "She didn't slow." | | 7 | "Her stride maintained a rhythmic," | | 8 | "The suspect veered sharply into" | | 9 | "Quinn pivoted, her heavy boots" | | 10 | "She reached for the holster" | | 11 | "A sudden movement caught her" | | 12 | "The man didn't head for" | | 13 | "He pressed himself against a" | | 14 | "The door creaked open, swallowing" | | 15 | "Quinn reached the mouth of" | | 16 | "The door clicked shut." | | 17 | "The silence that followed felt" | | 18 | "She crouched low, scanning the" | | 19 | "A flight of concrete stairs" |
| | ratio | 0.945 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 2 | | matches | | 0 | "Quinn pivoted, her heavy boots splashing through a deep puddle that sent a spray of grit against her shins." | | 1 | "Quinn felt the familiar, cold knot of dread settle in her stomach—the same knot that had tightened three years ago when Morris disappeared into a void that the …" |
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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 | |