| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 61 | | tagDensity | 0.049 | | leniency | 0.098 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1731 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 85.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1731 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "sense of" | | 1 | "etched" | | 2 | "pulse" | | 3 | "perfect" | | 4 | "flicked" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 126 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 126 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 184 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 90 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1731 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1085 | | uniqueNames | 6 | | maxNameDensity | 1.47 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Quinn | 1 | | Tube | 1 | | Veil | 1 | | Market | 2 | | Harlow | 16 | | One | 4 |
| | persons | | 0 | "Quinn" | | 1 | "Market" | | 2 | "Harlow" | | 3 | "One" |
| | places | (empty) | | globalScore | 0.763 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like ground slate" |
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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 | 1731 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 184 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 97 | | mean | 17.85 | | std | 18.91 | | cv | 1.06 | | sampleLengths | | 0 | 21 | | 1 | 91 | | 2 | 55 | | 3 | 10 | | 4 | 10 | | 5 | 22 | | 6 | 15 | | 7 | 4 | | 8 | 9 | | 9 | 68 | | 10 | 7 | | 11 | 11 | | 12 | 5 | | 13 | 13 | | 14 | 13 | | 15 | 28 | | 16 | 60 | | 17 | 3 | | 18 | 12 | | 19 | 7 | | 20 | 9 | | 21 | 60 | | 22 | 6 | | 23 | 12 | | 24 | 1 | | 25 | 4 | | 26 | 17 | | 27 | 47 | | 28 | 11 | | 29 | 5 | | 30 | 45 | | 31 | 2 | | 32 | 38 | | 33 | 6 | | 34 | 11 | | 35 | 14 | | 36 | 53 | | 37 | 34 | | 38 | 8 | | 39 | 9 | | 40 | 46 | | 41 | 11 | | 42 | 2 | | 43 | 1 | | 44 | 2 | | 45 | 5 | | 46 | 5 | | 47 | 11 | | 48 | 53 | | 49 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 126 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 181 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 184 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1091 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.03391384051329056 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.002749770852428964 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 184 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 184 | | mean | 9.41 | | std | 9.15 | | cv | 0.973 | | sampleLengths | | 0 | 21 | | 1 | 17 | | 2 | 21 | | 3 | 19 | | 4 | 27 | | 5 | 7 | | 6 | 8 | | 7 | 27 | | 8 | 20 | | 9 | 10 | | 10 | 10 | | 11 | 9 | | 12 | 5 | | 13 | 8 | | 14 | 15 | | 15 | 4 | | 16 | 9 | | 17 | 7 | | 18 | 7 | | 19 | 5 | | 20 | 13 | | 21 | 20 | | 22 | 16 | | 23 | 7 | | 24 | 3 | | 25 | 5 | | 26 | 3 | | 27 | 5 | | 28 | 13 | | 29 | 13 | | 30 | 10 | | 31 | 18 | | 32 | 6 | | 33 | 13 | | 34 | 2 | | 35 | 2 | | 36 | 5 | | 37 | 15 | | 38 | 17 | | 39 | 3 | | 40 | 12 | | 41 | 7 | | 42 | 5 | | 43 | 4 | | 44 | 7 | | 45 | 9 | | 46 | 13 | | 47 | 8 | | 48 | 3 | | 49 | 11 |
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| 45.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.32608695652173914 | | totalSentences | 184 | | uniqueOpeners | 60 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 111 | | matches | | 0 | "Instead, the shirt across the" | | 1 | "Too white in places where" | | 2 | "Even the techs seemed to" | | 3 | "Somewhere below us, metal rang" | | 4 | "Then the wall answered." |
| | ratio | 0.045 | |
| 83.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 111 | | matches | | 0 | "She kept one gloved hand" | | 1 | "She did not turn her" | | 2 | "She did not need to." | | 3 | "Her mouth barely moved." | | 4 | "I looked up at the" | | 5 | "She took a step closer," | | 6 | "I studied the dead man’s" | | 7 | "His fingers had stiffened around" | | 8 | "His coat had one of" | | 9 | "I crouched by the dead" | | 10 | "I rubbed a finger through" | | 11 | "It left a faint oily" | | 12 | "She knew what I had" | | 13 | "I reached for the dead" | | 14 | "I let the collar fall" | | 15 | "Her lips pressed into a" | | 16 | "I leaned past the barrier" | | 17 | "It had been polished smooth" | | 18 | "I picked it up before" | | 19 | "I thumbed the lid open." |
| | ratio | 0.342 | |
| 59.10% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 111 | | matches | | 0 | "The body hung from the" | | 1 | "Harlow Quinn stood beneath the" | | 2 | "She kept one gloved hand" | | 3 | "The Veil Market had spilled" | | 4 | "Tonight it had left behind" | | 5 | "A forensic tech crouched beside" | | 6 | "Another stood by the lift" | | 7 | "The air carried dust, cloves," | | 8 | "Harlow looked at me once," | | 9 | "She did not turn her" | | 10 | "She did not need to." | | 11 | "The station obeyed her like" | | 12 | "Her mouth barely moved." | | 13 | "I looked up at the" | | 14 | "That alone soured the scene." | | 15 | "A blade through flesh should" | | 16 | "The blood that did exist" | | 17 | "Harlow finally turned." | | 18 | "Brown eyes, flat and bright." | | 19 | "She took a step closer," |
| | ratio | 0.802 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 111 | | matches | (empty) | | ratio | 0 | |
| 93.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 3 | | matches | | 0 | "The blood that did exist had pooled under his boots, thick and black against the dust." | | 1 | "His coat had one of those expensive fake-wool collars that caught dust like a magnet." | | 2 | "Somewhere below us, metal rang against metal, a single hollow knock that rolled through the tunnel and died." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 61 | | tagDensity | 0.049 | | leniency | 0.098 | | rawRatio | 0 | | effectiveRatio | 0 | |