| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said quietly [quietly]" |
| | dialogueSentences | 26 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.1 | | effectiveRatio | 0.077 | |
| 94.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 947 | | 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) | |
| 84.16% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 947 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "traced" | | 1 | "etched" | | 2 | "trembled" |
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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 | 56 | | matches | (empty) | |
| 40.82% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 56 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 947 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 681 | | uniqueNames | 9 | | maxNameDensity | 1.47 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Northern | 1 | | Camden | 1 | | Harlow | 1 | | Quinn | 10 | | Owen | 1 | | Pryce | 6 | | West | 1 | | End | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Owen" | | 3 | "Pryce" | | 4 | "Morris" |
| | places | | | globalScore | 0.766 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 947 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 27.06 | | std | 25.77 | | cv | 0.953 | | sampleLengths | | 0 | 55 | | 1 | 36 | | 2 | 18 | | 3 | 8 | | 4 | 37 | | 5 | 9 | | 6 | 81 | | 7 | 5 | | 8 | 27 | | 9 | 5 | | 10 | 5 | | 11 | 3 | | 12 | 4 | | 13 | 63 | | 14 | 4 | | 15 | 1 | | 16 | 62 | | 17 | 28 | | 18 | 70 | | 19 | 8 | | 20 | 11 | | 21 | 1 | | 22 | 52 | | 23 | 30 | | 24 | 6 | | 25 | 4 | | 26 | 2 | | 27 | 76 | | 28 | 56 | | 29 | 5 | | 30 | 69 | | 31 | 5 | | 32 | 54 | | 33 | 13 | | 34 | 34 |
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| 73.93% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 56 | | matches | | 0 | "been sealed" | | 1 | "were stretched" | | 2 | "was pressed" | | 3 | "was etched" | | 4 | "been bricked" |
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| 80.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 112 | | matches | | 0 | "was looking" | | 1 | "wasn't pointing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 72 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 682 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.017595307917888565 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005865102639296188 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 13.15 | | std | 9.83 | | cv | 0.748 | | sampleLengths | | 0 | 35 | | 1 | 10 | | 2 | 10 | | 3 | 13 | | 4 | 10 | | 5 | 13 | | 6 | 18 | | 7 | 8 | | 8 | 26 | | 9 | 11 | | 10 | 3 | | 11 | 6 | | 12 | 24 | | 13 | 9 | | 14 | 10 | | 15 | 5 | | 16 | 33 | | 17 | 5 | | 18 | 27 | | 19 | 5 | | 20 | 5 | | 21 | 3 | | 22 | 3 | | 23 | 1 | | 24 | 13 | | 25 | 16 | | 26 | 17 | | 27 | 9 | | 28 | 8 | | 29 | 4 | | 30 | 1 | | 31 | 40 | | 32 | 22 | | 33 | 5 | | 34 | 23 | | 35 | 19 | | 36 | 23 | | 37 | 28 | | 38 | 2 | | 39 | 6 | | 40 | 5 | | 41 | 6 | | 42 | 1 | | 43 | 10 | | 44 | 8 | | 45 | 14 | | 46 | 20 | | 47 | 16 | | 48 | 14 | | 49 | 6 |
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| 79.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5277777777777778 | | totalSentences | 72 | | uniqueOpeners | 38 | |
| 65.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 51 | | matches | | 0 | "Somewhere beyond the hoarding a" |
| | ratio | 0.02 | |
| 63.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 51 | | matches | | 0 | "Her boots found the dry" | | 1 | "He rubbed the back of" | | 2 | "She didn't answer." | | 3 | "She was looking at the" | | 4 | "He sat against the far" | | 5 | "His legs were stretched straight" | | 6 | "His hands rested in his" | | 7 | "She looked for the ripples" | | 8 | "She pointed at the wooden" | | 9 | "He didn't speak for a" | | 10 | "he said at last" | | 11 | "She moved closer and took" | | 12 | "It sat in his palm" | | 13 | "She looked at the token" | | 14 | "Her left wrist was bare" | | 15 | "She noticed the hour without" | | 16 | "She shook the thought loose." | | 17 | "It trembled, swung, and settled" | | 18 | "she said quietly" | | 19 | "She kept her eyes on" |
| | ratio | 0.392 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 51 | | matches | | 0 | "The Northern line platform at" | | 1 | "Water dripped from the vaulted" | | 2 | "Quinn stepped over the tape" | | 3 | "Her boots found the dry" | | 4 | "The rest of the floor" | | 5 | "DC Owen Pryce said, falling" | | 6 | "He rubbed the back of" | | 7 | "She didn't answer." | | 8 | "She was looking at the" | | 9 | "He sat against the far" | | 10 | "His legs were stretched straight" | | 11 | "His hands rested in his" | | 12 | "Someone had closed his eyes." | | 13 | "Someone had done it carefully," | | 14 | "Pryce's jaw tightened." | | 15 | "Quinn crouched at the edge" | | 16 | "The surface had settled into" | | 17 | "She looked for the ripples" | | 18 | "Nothing reached from the tunnel" | | 19 | "Nothing reached from the bench" |
| | ratio | 0.941 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "The skin inside the fingers was pale and unmarked, but a faint line of cold-looking ink ran from the heel of his hand toward the wrist, as if someone had traced…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0 | | effectiveRatio | 0 | |