| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "She turned slowly [slowly]" |
| | dialogueSentences | 52 | | tagDensity | 0.212 | | leniency | 0.423 | | rawRatio | 0.091 | | effectiveRatio | 0.038 | |
| 81.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1099 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "suddenly" |
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| 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) | |
| 86.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1099 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "perfect" | | 1 | "weight" | | 2 | "pulse" |
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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 | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1104 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 87.41% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 719 | | uniqueNames | 8 | | maxNameDensity | 1.25 | | worstName | "Breece" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Breece" | | discoveredNames | | Quinn | 4 | | St | 1 | | Dunstan | 1 | | Callum | 1 | | Breece | 9 | | Dry | 1 | | London | 1 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Dunstan" | | 2 | "Breece" | | 3 | "Morris" |
| | places | | | globalScore | 0.874 | | windowScore | 1 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1104 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 19.71 | | std | 21.87 | | cv | 1.109 | | sampleLengths | | 0 | 50 | | 1 | 24 | | 2 | 3 | | 3 | 36 | | 4 | 25 | | 5 | 66 | | 6 | 8 | | 7 | 3 | | 8 | 9 | | 9 | 63 | | 10 | 3 | | 11 | 25 | | 12 | 68 | | 13 | 7 | | 14 | 6 | | 15 | 2 | | 16 | 4 | | 17 | 49 | | 18 | 9 | | 19 | 1 | | 20 | 6 | | 21 | 41 | | 22 | 86 | | 23 | 5 | | 24 | 6 | | 25 | 5 | | 26 | 2 | | 27 | 5 | | 28 | 3 | | 29 | 2 | | 30 | 3 | | 31 | 47 | | 32 | 18 | | 33 | 12 | | 34 | 13 | | 35 | 1 | | 36 | 8 | | 37 | 9 | | 38 | 38 | | 39 | 2 | | 40 | 62 | | 41 | 7 | | 42 | 6 | | 43 | 10 | | 44 | 57 | | 45 | 1 | | 46 | 3 | | 47 | 6 | | 48 | 42 | | 49 | 47 |
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| 92.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 80 | | matches | | 0 | "was flung" | | 1 | "been drawn" | | 2 | "been scuffed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 120 | | matches | | |
| 48.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 121 | | ratio | 0.033 | | matches | | 0 | "His left arm was flung above his head; his right rested neatly at his side." | | 1 | "Not quite dry — slightly damp, as any stone in London was always slightly damp — but not running-wet like the alley around him." | | 2 | "At the edge of the dry patch — the lip where the rain had refused to come — a line in the damp." | | 3 | "The lining was sodden — but not with rainwater." |
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| 99.61% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 717 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.040446304044630406 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009762900976290097 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 9.12 | | std | 8.26 | | cv | 0.905 | | sampleLengths | | 0 | 30 | | 1 | 10 | | 2 | 8 | | 3 | 2 | | 4 | 19 | | 5 | 5 | | 6 | 3 | | 7 | 16 | | 8 | 20 | | 9 | 3 | | 10 | 22 | | 11 | 21 | | 12 | 15 | | 13 | 9 | | 14 | 4 | | 15 | 10 | | 16 | 7 | | 17 | 2 | | 18 | 3 | | 19 | 3 | | 20 | 3 | | 21 | 9 | | 22 | 9 | | 23 | 1 | | 24 | 24 | | 25 | 9 | | 26 | 20 | | 27 | 3 | | 28 | 25 | | 29 | 10 | | 30 | 5 | | 31 | 4 | | 32 | 6 | | 33 | 25 | | 34 | 5 | | 35 | 10 | | 36 | 3 | | 37 | 4 | | 38 | 3 | | 39 | 6 | | 40 | 2 | | 41 | 4 | | 42 | 9 | | 43 | 40 | | 44 | 4 | | 45 | 5 | | 46 | 1 | | 47 | 6 | | 48 | 16 | | 49 | 7 |
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| 70.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.47107438016528924 | | totalSentences | 121 | | uniqueOpeners | 57 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 53.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 65 | | matches | | 0 | "She ducked under the tape" | | 1 | "She stepped past him and" | | 2 | "His left arm was flung" | | 3 | "His shoes were polished." | | 4 | "Her knee clicked." | | 5 | "She ignored it." | | 6 | "She looked at the cobbles" | | 7 | "She moved her gaze outward" | | 8 | "She looked at Breece." | | 9 | "She took out her torch" | | 10 | "She wanted the angle of" | | 11 | "She walked a slow arc" | | 12 | "It followed the curve of" | | 13 | "He came over, knees cracking." | | 14 | "She ran her gloved finger" | | 15 | "It wasn't salt." | | 16 | "It had the wrong weight." | | 17 | "It felt, when she rubbed" | | 18 | "It went blank." | | 19 | "She turned slowly, torch lifted" |
| | ratio | 0.415 | |
| 52.31% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 65 | | matches | | 0 | "The rain had stopped an" | | 1 | "She ducked under the tape" | | 2 | "The uniforms parted for her" | | 3 | "Breece gestured with two gloved" | | 4 | "Quinn didn't answer." | | 5 | "She stepped past him and" | | 6 | "The dead man lay on" | | 7 | "His left arm was flung" | | 8 | "The coat was a good" | | 9 | "His shoes were polished." | | 10 | "The throat was, as advertised," | | 11 | "Her knee clicked." | | 12 | "She ignored it." | | 13 | "She looked at the cobbles" | | 14 | "She moved her gaze outward" | | 15 | "The water had pooled around" | | 16 | "Quinn lowered her face nearer" | | 17 | "The cut was clean, yes." | | 18 | "A throat opened that deep" | | 19 | "A smear on his collar." |
| | ratio | 0.815 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 2 | | matches | | 0 | "The dead man lay on his back in the mouth of a brick recess that had once held a coal chute." | | 1 | "No wallet, no watch, no phone, which fit Breece's theory." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.038 | | leniency | 0.077 | | rawRatio | 0 | | effectiveRatio | 0 | |