| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.615 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1155 | | 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) | |
| 17.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1155 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "fractured" | | 1 | "rhythmic" | | 2 | "familiar" | | 3 | "unwavering" | | 4 | "maw" | | 5 | "velvet" | | 6 | "etched" | | 7 | "echoing" | | 8 | "pulse" | | 9 | "pulsed" | | 10 | "navigate" | | 11 | "weight" | | 12 | "vibrated" | | 13 | "gloom" | | 14 | "spectral" |
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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 | 75 | | matches | | |
| 66.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 75 | | filterMatches | | | hedgeMatches | | 0 | "tried to" | | 1 | "began to" | | 2 | "seemed to" |
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| 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 | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1152 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 11 | | wordCount | 1055 | | uniqueNames | 8 | | maxNameDensity | 0.38 | | worstName | "Herrera" | | maxWindowNameDensity | 1 | | worstWindowName | "Herrera" | | discoveredNames | | London | 1 | | Camden | 1 | | Tube | 1 | | Tomás | 1 | | Veil | 1 | | Market | 1 | | Morris | 1 | | Herrera | 4 |
| | persons | | 0 | "Tomás" | | 1 | "Morris" | | 2 | "Herrera" |
| | 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 man running from his own sh" | | 1 | "tasted like ozone" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.868 | | wordCount | 1152 | | matches | | 0 | "not like a tide, but like a reach" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 94.99% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 38.4 | | std | 18.53 | | cv | 0.482 | | sampleLengths | | 0 | 61 | | 1 | 13 | | 2 | 62 | | 3 | 27 | | 4 | 87 | | 5 | 39 | | 6 | 28 | | 7 | 34 | | 8 | 64 | | 9 | 38 | | 10 | 47 | | 11 | 55 | | 12 | 26 | | 13 | 42 | | 14 | 36 | | 15 | 42 | | 16 | 42 | | 17 | 18 | | 18 | 23 | | 19 | 20 | | 20 | 37 | | 21 | 20 | | 22 | 20 | | 23 | 31 | | 24 | 45 | | 25 | 49 | | 26 | 15 | | 27 | 11 | | 28 | 42 | | 29 | 78 |
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| 95.91% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 75 | | matches | | 0 | "was supposed" | | 1 | "been caught" |
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| 9.52% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 175 | | matches | | 0 | "was jarring" | | 1 | "was weaving" | | 2 | "was crossing" | | 3 | "wasn't just chasing" | | 4 | "was stepping" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 3 | | flaggedSentences | 5 | | totalSentences | 79 | | ratio | 0.063 | | matches | | 0 | "He didn't look like a man running from justice; he looked like a man running from his own shadow." | | 1 | "Thirteen years of service had taught me that survival was not about the chase; it was about knowing when the risk shifted from investigation to suicide." | | 2 | "They saw the badge; they saw the scent of the surface world clinging to my coat like cheap perfume." | | 3 | "I reached into my pocket, pulling out a tarnished silver lighter—a relic from my father." | | 4 | "A low, resonant sound—a hum that vibrated through the very marrow of my bones—began to intensify." |
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| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1067 | | adjectiveStacks | 3 | | stackExamples | | 0 | "small, bone-white token." | | 1 | "rotted, damp wooden pallets," | | 2 | "heavy, iron-bound door" |
| | adverbCount | 21 | | adverbRatio | 0.019681349578256794 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006560449859418931 | |
| 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 | 14.58 | | std | 7.32 | | cv | 0.502 | | sampleLengths | | 0 | 26 | | 1 | 11 | | 2 | 24 | | 3 | 13 | | 4 | 22 | | 5 | 3 | | 6 | 13 | | 7 | 24 | | 8 | 5 | | 9 | 22 | | 10 | 17 | | 11 | 12 | | 12 | 14 | | 13 | 21 | | 14 | 23 | | 15 | 20 | | 16 | 19 | | 17 | 23 | | 18 | 5 | | 19 | 3 | | 20 | 15 | | 21 | 16 | | 22 | 12 | | 23 | 6 | | 24 | 12 | | 25 | 8 | | 26 | 26 | | 27 | 19 | | 28 | 19 | | 29 | 18 | | 30 | 5 | | 31 | 14 | | 32 | 10 | | 33 | 10 | | 34 | 7 | | 35 | 21 | | 36 | 17 | | 37 | 26 | | 38 | 20 | | 39 | 22 | | 40 | 3 | | 41 | 15 | | 42 | 3 | | 43 | 15 | | 44 | 15 | | 45 | 11 | | 46 | 7 | | 47 | 9 | | 48 | 11 | | 49 | 16 |
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| 36.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.31645569620253167 | | totalSentences | 79 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 74 | | matches | | 0 | "My chest burned with the" | | 1 | "My voice cut through the" | | 2 | "I didn't hesitate." | | 3 | "I vaulted over the rusted" | | 4 | "Its location drifted like a" | | 5 | "I hit the bottom of" | | 6 | "He didn't look like a" | | 7 | "I shouted, my words swallowed" | | 8 | "He didn't stop." | | 9 | "He pushed through a cluster" | | 10 | "He vanished behind a stack" | | 11 | "I paused, my boots skidding" | | 12 | "My pulse hammered in my" | | 13 | "I checked the watch on" | | 14 | "They saw the badge; they" | | 15 | "I reached the pallets just" | | 16 | "It wasn't just a door." | | 17 | "It was a barrier, reinforced" | | 18 | "My hand hovered over the" | | 19 | "I breathed in, tasting the" |
| | ratio | 0.581 | |
| 0.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 74 | | matches | | 0 | "The heavy spray of the" | | 1 | "My chest burned with the" | | 2 | "My voice cut through the" | | 3 | "Tomás glanced over his shoulder," | | 4 | "I didn't hesitate." | | 5 | "I vaulted over the rusted" | | 6 | "The air below shifted instantly," | | 7 | "This was the Veil Market." | | 8 | "Its location drifted like a" | | 9 | "I hit the bottom of" | | 10 | "The transition from the silent" | | 11 | "The dark space hummed with" | | 12 | "Stalls lined the derelict platforms," | | 13 | "Glass jars filled with swirling," | | 14 | "Herrera was weaving through the" | | 15 | "He didn't look like a" | | 16 | "I shouted, my words swallowed" | | 17 | "He didn't stop." | | 18 | "He pushed through a cluster" | | 19 | "He vanished behind a stack" |
| | ratio | 0.919 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 74 | | matches | | 0 | "If I turned back, I’d" | | 1 | "If I bargained my way" |
| | ratio | 0.027 | |
| 66.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 5 | | matches | | 0 | "The dark space hummed with an unnatural, vibrating frequency that made my teeth ache." | | 1 | "Stalls lined the derelict platforms, draped in heavy, velvet fabric, selling items that held no place in any police evidence locker." | | 2 | "He held his left arm, the scar along his forearm looking jagged, pulsating beneath his sleeve." | | 3 | "He looked desperate, his warm brown eyes wide, searching for an exit that didn't exist." | | 4 | "A low, resonant sound—a hum that vibrated through the very marrow of my bones—began to intensify." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 3 | | matches | | 0 | "the figure rasped, his voice sounding like dry leaves skittering on concrete" | | 1 | "he breathed, his voice trembling" | | 2 | "I whispered, my voice sounding foreign in the hollow space" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 4 | | fancyTags | | 0 | "I shouted (shout)" | | 1 | "he breathed (breathe)" | | 2 | "Herrera whispered (whisper)" | | 3 | "I whispered (whisper)" |
| | dialogueSentences | 13 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.8 | | effectiveRatio | 0.615 | |