| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 44 | | tagDensity | 0.205 | | leniency | 0.409 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1161 | | 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) | |
| 82.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1161 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "weight" | | 1 | "magnetic" | | 2 | "churned" | | 3 | "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 | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 89 | | filterMatches | | | 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 | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 16 | | totalWords | 1161 | | ratio | 0.014 | | matches | | 0 | "Look at the floor, Harlow. Everyone looks at the body. The floor's the one that talks." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 864 | | uniqueNames | 10 | | maxNameDensity | 0.93 | | worstName | "Bramwell" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Bramwell" | | discoveredNames | | Bramwell | 8 | | Town | 2 | | Kentish | 1 | | Road | 1 | | Harlow | 1 | | Tile | 1 | | Tottenham | 1 | | Morris | 1 | | Small | 2 | | Quinn | 7 |
| | persons | | 0 | "Bramwell" | | 1 | "Tile" | | 2 | "Morris" | | 3 | "Quinn" |
| | places | | 0 | "Town" | | 1 | "Kentish" | | 2 | "Road" | | 3 | "Tottenham" | | 4 | "Small" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | 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 | 1161 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 121 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 21.91 | | std | 21 | | cv | 0.959 | | sampleLengths | | 0 | 16 | | 1 | 50 | | 2 | 36 | | 3 | 2 | | 4 | 2 | | 5 | 59 | | 6 | 1 | | 7 | 25 | | 8 | 69 | | 9 | 31 | | 10 | 1 | | 11 | 15 | | 12 | 53 | | 13 | 3 | | 14 | 11 | | 15 | 49 | | 16 | 3 | | 17 | 33 | | 18 | 8 | | 19 | 5 | | 20 | 86 | | 21 | 8 | | 22 | 23 | | 23 | 2 | | 24 | 16 | | 25 | 23 | | 26 | 49 | | 27 | 3 | | 28 | 68 | | 29 | 9 | | 30 | 11 | | 31 | 30 | | 32 | 1 | | 33 | 8 | | 34 | 40 | | 35 | 36 | | 36 | 24 | | 37 | 1 | | 38 | 17 | | 39 | 3 | | 40 | 39 | | 41 | 8 | | 42 | 48 | | 43 | 4 | | 44 | 2 | | 45 | 48 | | 46 | 15 | | 47 | 7 | | 48 | 9 | | 49 | 21 |
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| 85.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 89 | | matches | | 0 | "been placed" | | 1 | "been coiled" | | 2 | "were caked" | | 3 | "been taught" | | 4 | "been filled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 141 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 121 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 870 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.017241379310344827 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0011494252873563218 | |
| 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 | 9.6 | | std | 7.73 | | cv | 0.805 | | sampleLengths | | 0 | 16 | | 1 | 14 | | 2 | 5 | | 3 | 5 | | 4 | 26 | | 5 | 8 | | 6 | 22 | | 7 | 6 | | 8 | 2 | | 9 | 2 | | 10 | 9 | | 11 | 24 | | 12 | 3 | | 13 | 3 | | 14 | 20 | | 15 | 1 | | 16 | 24 | | 17 | 1 | | 18 | 3 | | 19 | 20 | | 20 | 20 | | 21 | 4 | | 22 | 22 | | 23 | 8 | | 24 | 20 | | 25 | 1 | | 26 | 2 | | 27 | 1 | | 28 | 12 | | 29 | 3 | | 30 | 6 | | 31 | 19 | | 32 | 11 | | 33 | 2 | | 34 | 2 | | 35 | 13 | | 36 | 3 | | 37 | 11 | | 38 | 7 | | 39 | 5 | | 40 | 15 | | 41 | 11 | | 42 | 6 | | 43 | 5 | | 44 | 3 | | 45 | 16 | | 46 | 14 | | 47 | 3 | | 48 | 8 | | 49 | 5 |
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| 93.66% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5867768595041323 | | totalSentences | 121 | | uniqueOpeners | 71 | |
| 93.90% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 71 | | matches | | 0 | "Just cramped little marks that" | | 1 | "Then, from somewhere deep in" |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 71 | | matches | | 0 | "He had his torch trained" | | 1 | "She crouched lower" | | 2 | "They hadn't arrived." | | 3 | "She looked up" | | 4 | "He held out an evidence" | | 5 | "It slid, smooth and certain," | | 6 | "She rotated the bag ninety" | | 7 | "She set the bag on" | | 8 | "She left him with that" | | 9 | "She'd walked in on these" | | 10 | "It had a faint glitter" | | 11 | "She moved along the platform," | | 12 | "She swept the torch along" | | 13 | "Her hand had gone to" | | 14 | "She made herself let go." | | 15 | "Her voice came out level" | | 16 | "She stood and looked down" | | 17 | "She thought about pale dust" | | 18 | "He fumbled for his handset." |
| | ratio | 0.268 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 71 | | matches | | 0 | "The bone token in the" | | 1 | "Quinn knew this the way" | | 2 | "Someone had knelt beside this" | | 3 | "He had his torch trained" | | 4 | "She crouched lower" | | 5 | "The platform tiles were the" | | 6 | "They hadn't arrived." | | 7 | "She looked up" | | 8 | "Bramwell said nothing." | | 9 | "The air down here tasted" | | 10 | "Camden Town's disused sibling." | | 11 | "Quinn had walked past the" | | 12 | "Someone had opened that entrance" | | 13 | "The padlock lay in the" | | 14 | "Bramwell finally lowered the torch" | | 15 | "He held out an evidence" | | 16 | "Sigils crowded the face where" | | 17 | "Quinn turned the bag in" | | 18 | "The needle inside was moving." | | 19 | "It slid, smooth and certain," |
| | ratio | 0.69 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "Behind him, past the taped-off stairwell, the abandoned platform stretched away into a dark that swallowed her torch beam whole." | | 1 | "Bench-made brogues, the kind that cost a month of Bramwell's wages, and the soles were caked in a grey dust that matched nothing on this platform." | | 2 | "She thought about pale dust that glittered, and a market that moved every full moon, and a token cut from bone that got you through a door." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 44 | | tagDensity | 0.045 | | leniency | 0.091 | | rawRatio | 0 | | effectiveRatio | 0 | |