| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 100 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1755 | | 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) | |
| 82.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1755 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "pulse" | | 1 | "magnetic" | | 2 | "weight" | | 3 | "silence" | | 4 | "traced" |
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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 | 143 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 143 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 223 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1755 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 65 | | wordCount | 1152 | | uniqueNames | 9 | | maxNameDensity | 2.69 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | High | 1 | | Street | 1 | | Detective | 2 | | Harlow | 1 | | Quinn | 31 | | Sergeant | 1 | | Pike | 19 | | Eva | 8 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Pike" | | 4 | "Eva" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" |
| | globalScore | 0.155 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | 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 | 1755 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 223 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 119 | | mean | 14.75 | | std | 14.28 | | cv | 0.968 | | sampleLengths | | 0 | 31 | | 1 | 47 | | 2 | 23 | | 3 | 58 | | 4 | 4 | | 5 | 23 | | 6 | 11 | | 7 | 61 | | 8 | 6 | | 9 | 3 | | 10 | 22 | | 11 | 49 | | 12 | 33 | | 13 | 6 | | 14 | 6 | | 15 | 4 | | 16 | 16 | | 17 | 2 | | 18 | 6 | | 19 | 23 | | 20 | 17 | | 21 | 22 | | 22 | 4 | | 23 | 5 | | 24 | 13 | | 25 | 6 | | 26 | 4 | | 27 | 2 | | 28 | 51 | | 29 | 3 | | 30 | 16 | | 31 | 7 | | 32 | 5 | | 33 | 10 | | 34 | 44 | | 35 | 12 | | 36 | 4 | | 37 | 4 | | 38 | 11 | | 39 | 44 | | 40 | 3 | | 41 | 9 | | 42 | 12 | | 43 | 6 | | 44 | 48 | | 45 | 4 | | 46 | 15 | | 47 | 4 | | 48 | 16 | | 49 | 9 |
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| 95.45% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 143 | | matches | | 0 | "been folded" | | 1 | "been placed" | | 2 | "been wiped" | | 3 | "been scratched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 189 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 223 | | ratio | 0.004 | | matches | | 0 | "Its shoes pointed towards the rails; its hands rested beside its hips." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1153 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.012142237640936688 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0026019080659150044 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 223 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 223 | | mean | 7.87 | | std | 4.91 | | cv | 0.624 | | sampleLengths | | 0 | 16 | | 1 | 15 | | 2 | 6 | | 3 | 13 | | 4 | 10 | | 5 | 18 | | 6 | 11 | | 7 | 12 | | 8 | 5 | | 9 | 17 | | 10 | 5 | | 11 | 14 | | 12 | 17 | | 13 | 4 | | 14 | 4 | | 15 | 19 | | 16 | 8 | | 17 | 3 | | 18 | 7 | | 19 | 16 | | 20 | 21 | | 21 | 8 | | 22 | 9 | | 23 | 6 | | 24 | 3 | | 25 | 11 | | 26 | 11 | | 27 | 7 | | 28 | 12 | | 29 | 7 | | 30 | 23 | | 31 | 2 | | 32 | 9 | | 33 | 13 | | 34 | 9 | | 35 | 6 | | 36 | 6 | | 37 | 4 | | 38 | 9 | | 39 | 7 | | 40 | 2 | | 41 | 2 | | 42 | 4 | | 43 | 6 | | 44 | 17 | | 45 | 13 | | 46 | 4 | | 47 | 6 | | 48 | 10 | | 49 | 6 |
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| 52.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.32286995515695066 | | totalSentences | 223 | | uniqueOpeners | 72 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 125 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 125 | | matches | | 0 | "Her boots struck the tiled" | | 1 | "He had already decided what" | | 2 | "His coat had been folded" | | 3 | "Its shoes pointed towards the" | | 4 | "She leaned closer without crossing" | | 5 | "Its edge ran beneath one" | | 6 | "His fingernails were clean." | | 7 | "He folded his arms." | | 8 | "Its brass body looked old," | | 9 | "She turned the bag in" | | 10 | "She handed the evidence bag" | | 11 | "She wore round glasses and" | | 12 | "She turned back to the" | | 13 | "Its lid stood open." | | 14 | "It pointed towards the tracks." | | 15 | "They had not." | | 16 | "She crouched beside the blood" | | 17 | "Its end stopped against the" | | 18 | "His lamp caught a fine" | | 19 | "she told the constable" |
| | ratio | 0.216 | |
| 20.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 110 | | totalSentences | 125 | | matches | | 0 | "The station entrance sat behind" | | 1 | "A uniformed constable lifted it" | | 2 | "Quinn descended past a sign" | | 3 | "Her boots struck the tiled" | | 4 | "Detective Sergeant Pike called from" | | 5 | "Quinn passed under the barrier." | | 6 | "A table stood near the" | | 7 | "Someone had left a scatter" | | 8 | "A bone token lay beside" | | 9 | "Pike lifted one shoulder." | | 10 | "He had already decided what" | | 11 | "Quinn kept walking." | | 12 | "The platform opened beyond a" | | 13 | "A portable lamp stood beside" | | 14 | "The man lay face-up near" | | 15 | "His coat had been folded" | | 16 | "A narrow wound marked the" | | 17 | "Quinn stopped short of the" | | 18 | "The body had been placed" | | 19 | "Its shoes pointed towards the" |
| | ratio | 0.88 | |
| 40.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 125 | | matches | | 0 | "If the victim had dragged" |
| | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 1 | | matches | | 0 | "Quinn set two fingers against the tile and felt no movement, only a shallow vibration that travelled through the stone into her knuckles." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 1 | | fancyTags | | 0 | "the constable explained (explain)" |
| | dialogueSentences | 100 | | tagDensity | 0.17 | | leniency | 0.34 | | rawRatio | 0.059 | | effectiveRatio | 0.02 | |