| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.162 | | leniency | 0.324 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1077 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 72.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1077 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "familiar" | | 1 | "perfect" | | 2 | "gleaming" | | 3 | "silence" | | 4 | "unsettled" |
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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 | 48 | | matches | (empty) | |
| 83.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 48 | | filterMatches | | | hedgeMatches | (empty) | |
| 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 | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1077 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.20% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 689 | | uniqueNames | 8 | | maxNameDensity | 1.02 | | worstName | "Blackwell" | | maxWindowNameDensity | 2 | | worstWindowName | "Blackwell" | | discoveredNames | | Blackwell | 7 | | Quinn | 5 | | Thatcher | 1 | | Number | 1 | | Webb | 3 | | Morris | 2 | | Scotland | 1 | | Yard | 1 |
| | persons | | 0 | "Blackwell" | | 1 | "Quinn" | | 2 | "Thatcher" | | 3 | "Webb" | | 4 | "Morris" | | 5 | "Yard" |
| | places | | | globalScore | 0.992 | | windowScore | 1 | |
| 11.11% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 2 | | matches | | 0 | "y the body had apparently fallen, and felt th" | | 1 | "as though seeing it new" |
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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 | 1077 | | matches | (empty) | |
| 40.08% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 79 | | matches | | 0 | "trust that itch" | | 1 | "learned that silence" | | 2 | "through that room" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 22.91 | | std | 19.62 | | cv | 0.856 | | sampleLengths | | 0 | 6 | | 1 | 46 | | 2 | 32 | | 3 | 3 | | 4 | 23 | | 5 | 53 | | 6 | 3 | | 7 | 2 | | 8 | 4 | | 9 | 19 | | 10 | 70 | | 11 | 31 | | 12 | 1 | | 13 | 3 | | 14 | 51 | | 15 | 7 | | 16 | 15 | | 17 | 3 | | 18 | 10 | | 19 | 65 | | 20 | 6 | | 21 | 15 | | 22 | 6 | | 23 | 1 | | 24 | 2 | | 25 | 35 | | 26 | 27 | | 27 | 15 | | 28 | 20 | | 29 | 26 | | 30 | 28 | | 31 | 45 | | 32 | 8 | | 33 | 52 | | 34 | 43 | | 35 | 4 | | 36 | 24 | | 37 | 4 | | 38 | 39 | | 39 | 24 | | 40 | 34 | | 41 | 40 | | 42 | 64 | | 43 | 25 | | 44 | 1 | | 45 | 2 | | 46 | 40 |
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| 97.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 48 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 118 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 79 | | ratio | 0 | | matches | (empty) | |
| 93.09% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 689 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.047895500725689405 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.01451378809869376 | |
| 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 | 13.63 | | std | 10.08 | | cv | 0.739 | | sampleLengths | | 0 | 6 | | 1 | 25 | | 2 | 21 | | 3 | 18 | | 4 | 14 | | 5 | 3 | | 6 | 23 | | 7 | 8 | | 8 | 24 | | 9 | 6 | | 10 | 15 | | 11 | 3 | | 12 | 2 | | 13 | 4 | | 14 | 16 | | 15 | 3 | | 16 | 5 | | 17 | 33 | | 18 | 7 | | 19 | 3 | | 20 | 2 | | 21 | 20 | | 22 | 4 | | 23 | 27 | | 24 | 1 | | 25 | 3 | | 26 | 12 | | 27 | 25 | | 28 | 14 | | 29 | 7 | | 30 | 15 | | 31 | 3 | | 32 | 6 | | 33 | 4 | | 34 | 14 | | 35 | 36 | | 36 | 15 | | 37 | 6 | | 38 | 10 | | 39 | 5 | | 40 | 6 | | 41 | 1 | | 42 | 2 | | 43 | 19 | | 44 | 16 | | 45 | 5 | | 46 | 22 | | 47 | 15 | | 48 | 20 | | 49 | 26 |
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| 96.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.620253164556962 | | totalSentences | 79 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 43 | | matches | (empty) | | ratio | 0 | |
| 61.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 43 | | matches | | 0 | "She crossed to the body." | | 1 | "His eyes stared at the" | | 2 | "His shoes, oddly, sat six" | | 3 | "He had no answer for" | | 4 | "She didn't expect one." | | 5 | "She stood and paced the" | | 6 | "He gave a short laugh," | | 7 | "She'd learned that silence unsettled" | | 8 | "She looked at the barred" | | 9 | "He didn't have an answer" | | 10 | "She crouched by Webb's outstretched" | | 11 | "They followed the same spacing" | | 12 | "Her own left wrist itched" | | 13 | "She'd got it the night" | | 14 | "She stepped back toward the" | | 15 | "Her gaze drifted back to" | | 16 | "She'd seen a mark like" |
| | ratio | 0.395 | |
| 53.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 43 | | matches | | 0 | "The chalk outline made no" | | 1 | "Quinn crouched at its edge," | | 2 | "DC Blackwell flipped through his" | | 3 | "Quinn rose and turned to" | | 4 | "An old signal box, disused" | | 5 | "Ivy had swallowed half the" | | 6 | "Blackwell sniffed the air with" | | 7 | "She crossed to the body." | | 8 | "Marcus Webb, according to the" | | 9 | "His eyes stared at the" | | 10 | "His shoes, oddly, sat six" | | 11 | "Quinn knelt again, closer this" | | 12 | "The skin had gone the" | | 13 | "He had no answer for" | | 14 | "She didn't expect one." | | 15 | "She stood and paced the" | | 16 | "Dust lay thick everywhere, undisturbed" | | 17 | "A perfect circle of clean" | | 18 | "Blackwell crouched beside it, ran" | | 19 | "He gave a short laugh," |
| | ratio | 0.814 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 43 | | matches | | 0 | "As though something had gripped" | | 1 | "Whoever, or whatever, had come" |
| | ratio | 0.047 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "Marcus Webb, according to the ID in his wallet, lay on his back with his arms flung wide, palms up, as though he'd been reaching for something above him when he…" | | 1 | "Dust lay thick everywhere, undisturbed except for one long smear that curved from the centre of the room toward the far wall, ending abruptly at a spot where th…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.081 | | leniency | 0.162 | | rawRatio | 0 | | effectiveRatio | 0 | |