| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1058 | | 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) | |
| 57.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1058 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "footsteps" | | 1 | "unreadable" | | 2 | "flickered" | | 3 | "pulsed" | | 4 | "echoed" | | 5 | "silk" | | 6 | "predator" |
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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 | 0 | | narrationSentences | 83 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 83 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | 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 | 1055 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 1046 | | uniqueNames | 9 | | maxNameDensity | 0.19 | | worstName | "Morris" | | maxWindowNameDensity | 1 | | worstWindowName | "Morris" | | discoveredNames | | Morris | 2 | | Alec | 1 | | Raven | 1 | | Nest | 1 | | Veil | 1 | | Market | 1 | | Glock | 1 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Morris" | | 1 | "Alec" | | 2 | "Saint" | | 3 | "Christopher" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 79.58% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like twenty metres, the staircase" | | 1 | "looked like human skin" |
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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 | 1055 | | matches | (empty) | |
| 7.94% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 4 | | totalSentences | 84 | | matches | | 0 | "read that report" | | 1 | "rigged that fire" | | 2 | "pursue that thread" | | 3 | "hope that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 50.24 | | std | 32.23 | | cv | 0.642 | | sampleLengths | | 0 | 59 | | 1 | 6 | | 2 | 65 | | 3 | 30 | | 4 | 39 | | 5 | 59 | | 6 | 26 | | 7 | 42 | | 8 | 44 | | 9 | 41 | | 10 | 112 | | 11 | 61 | | 12 | 70 | | 13 | 141 | | 14 | 61 | | 15 | 61 | | 16 | 33 | | 17 | 69 | | 18 | 27 | | 19 | 3 | | 20 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 179 | | matches | | |
| 74.83% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 84 | | ratio | 0.024 | | matches | | 0 | "Instead, he pulled out a small object that gleamed with an internal, greenish light—a bone token, carved with symbols that made my eyes ache." | | 1 | "Something flickered there—recognition, a warning—then he turned away, quick." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1054 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.028462998102466792 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0028462998102466793 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 12.56 | | std | 6.79 | | cv | 0.541 | | sampleLengths | | 0 | 11 | | 1 | 19 | | 2 | 15 | | 3 | 14 | | 4 | 6 | | 5 | 3 | | 6 | 12 | | 7 | 24 | | 8 | 6 | | 9 | 20 | | 10 | 8 | | 11 | 14 | | 12 | 8 | | 13 | 13 | | 14 | 17 | | 15 | 9 | | 16 | 17 | | 17 | 19 | | 18 | 7 | | 19 | 16 | | 20 | 26 | | 21 | 10 | | 22 | 16 | | 23 | 16 | | 24 | 5 | | 25 | 14 | | 26 | 12 | | 27 | 7 | | 28 | 6 | | 29 | 8 | | 30 | 12 | | 31 | 15 | | 32 | 6 | | 33 | 33 | | 34 | 14 | | 35 | 14 | | 36 | 17 | | 37 | 22 | | 38 | 12 | | 39 | 20 | | 40 | 17 | | 41 | 3 | | 42 | 2 | | 43 | 19 | | 44 | 11 | | 45 | 16 | | 46 | 20 | | 47 | 10 | | 48 | 9 | | 49 | 4 |
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| 42.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3333333333333333 | | totalSentences | 84 | | uniqueOpeners | 28 | |
| 82.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 81 | | matches | | 0 | "Instead, he pulled out a" | | 1 | "Perhaps they assumed anyone who" |
| | ratio | 0.025 | |
| 32.35% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 81 | | matches | | 0 | "His footsteps splashed ahead, fast" | | 1 | "I rounded the corner into" | | 2 | "He ignored me." | | 3 | "His hand went to his" | | 4 | "He pressed it against the" | | 5 | "I closed the distance, my" | | 6 | "I stood at the edge" | | 7 | "I never caught whoever rigged" | | 8 | "I took two running steps" | | 9 | "My torch flickered, then steadied." | | 10 | "He knew where he was" | | 11 | "I descended, hand on the" | | 12 | "I saw hands with too" | | 13 | "I forced myself to look" | | 14 | "I pressed myself against the" | | 15 | "He was a hundred metres" | | 16 | "He walked now, his shoulders" | | 17 | "I let them wonder." | | 18 | "I tracked him, staying close" | | 19 | "My badge sat in my" |
| | ratio | 0.469 | |
| 52.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 81 | | matches | | 0 | "His footsteps splashed ahead, fast" | | 1 | "I rounded the corner into" | | 2 | "The suspect was halfway down" | | 3 | "The alley dead-ended in a" | | 4 | "He ignored me." | | 5 | "His hand went to his" | | 6 | "He pressed it against the" | | 7 | "The bricks shuddered and split," | | 8 | "I closed the distance, my" | | 9 | "The suspect glanced back, his" | | 10 | "The wall began to grind" | | 11 | "I stood at the edge" | | 12 | "Every hour of training screamed" | | 13 | "DS Alec Morris died three" | | 14 | "The official report called it" | | 15 | "I never caught whoever rigged" | | 16 | "This suspect, a man I" | | 17 | "The gap between the stone" | | 18 | "I took two running steps" | | 19 | "The wall boomed shut behind" |
| | ratio | 0.815 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 3 | | matches | | 0 | "The bricks shuddered and split, swung inward like a jaw, revealing a staircase that dropped into a pale, pulsing glow." | | 1 | "He walked now, his shoulders hunched, as if he believed the market itself would shield him." | | 2 | "I picked up my pace, my shoulder brushing a draped cloth that hissed at me." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |