| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.353 | | leniency | 0.706 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1152 | | totalAiIsmAdverbs | 2 | | 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) | |
| 95.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1152 | | totalAiIsms | 1 | | found | | | highlights | | |
| 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 | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 95 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1152 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 962 | | uniqueNames | 12 | | maxNameDensity | 1.46 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Hartley | 7 | | Quinn | 14 | | Tube | 1 | | Victorian | 1 | | Chalk | 1 | | Farm | 1 | | Road | 1 | | Eva | 4 | | Kowalski | 2 | | Morris | 2 | | One | 3 | | Three | 3 |
| | persons | | 0 | "Hartley" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Kowalski" | | 4 | "Morris" | | 5 | "One" |
| | places | | | globalScore | 0.772 | | windowScore | 0.5 | |
| 65.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like the inside of something dead" | | 1 | "something like alarm" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.868 | | wordCount | 1152 | | matches | | 0 | "not north or south or any fixed direction but toward the far end of the tunnel" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 116 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 22.59 | | std | 21.32 | | cv | 0.944 | | sampleLengths | | 0 | 9 | | 1 | 56 | | 2 | 25 | | 3 | 6 | | 4 | 8 | | 5 | 23 | | 6 | 20 | | 7 | 3 | | 8 | 3 | | 9 | 5 | | 10 | 38 | | 11 | 7 | | 12 | 4 | | 13 | 84 | | 14 | 6 | | 15 | 14 | | 16 | 2 | | 17 | 6 | | 18 | 66 | | 19 | 56 | | 20 | 4 | | 21 | 48 | | 22 | 4 | | 23 | 30 | | 24 | 13 | | 25 | 9 | | 26 | 4 | | 27 | 6 | | 28 | 45 | | 29 | 70 | | 30 | 31 | | 31 | 19 | | 32 | 3 | | 33 | 9 | | 34 | 64 | | 35 | 9 | | 36 | 8 | | 37 | 12 | | 38 | 46 | | 39 | 1 | | 40 | 5 | | 41 | 23 | | 42 | 38 | | 43 | 45 | | 44 | 44 | | 45 | 4 | | 46 | 40 | | 47 | 19 | | 48 | 16 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 95 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 156 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 116 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 968 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.027892561983471075 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007231404958677686 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 9.93 | | std | 8.43 | | cv | 0.849 | | sampleLengths | | 0 | 9 | | 1 | 9 | | 2 | 5 | | 3 | 18 | | 4 | 12 | | 5 | 12 | | 6 | 16 | | 7 | 9 | | 8 | 3 | | 9 | 3 | | 10 | 4 | | 11 | 4 | | 12 | 23 | | 13 | 9 | | 14 | 7 | | 15 | 4 | | 16 | 3 | | 17 | 3 | | 18 | 5 | | 19 | 3 | | 20 | 20 | | 21 | 2 | | 22 | 13 | | 23 | 5 | | 24 | 2 | | 25 | 4 | | 26 | 7 | | 27 | 16 | | 28 | 25 | | 29 | 24 | | 30 | 12 | | 31 | 6 | | 32 | 4 | | 33 | 10 | | 34 | 2 | | 35 | 6 | | 36 | 13 | | 37 | 38 | | 38 | 4 | | 39 | 7 | | 40 | 4 | | 41 | 11 | | 42 | 8 | | 43 | 29 | | 44 | 8 | | 45 | 4 | | 46 | 2 | | 47 | 7 | | 48 | 7 | | 49 | 28 |
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| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.43103448275862066 | | totalSentences | 116 | | uniqueOpeners | 50 | |
| 86.58% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 77 | | matches | | 0 | "Somewhere above, water dripped from" | | 1 | "Completely cold, as though the" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 77 | | matches | | 0 | "It was surprise, the kind" | | 1 | "She didn't look up." | | 2 | "He crouched and pointed with" | | 3 | "She turned it over." | | 4 | "Their torchlight swept the far" | | 5 | "She straightened and surveyed the" | | 6 | "She studied it without picking" | | 7 | "It moved in a long," | | 8 | "She pointed at the compass." | | 9 | "He glanced at it." | | 10 | "She looked at him." | | 11 | "He looked back with the" | | 12 | "She knew that expression." | | 13 | "She let it go." | | 14 | "They were fused, the grout" | | 15 | "She pressed two fingers against" | | 16 | "She wore a worn leather" | | 17 | "She watched the woman tuck" | | 18 | "She looked at Hartley, then" | | 19 | "she said, nodding toward the" |
| | ratio | 0.299 | |
| 89.87% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 77 | | matches | | 0 | "Quinn crouched over the body" | | 1 | "It was surprise, the kind" | | 2 | "DS Hartley stood a few" | | 3 | "Quinn could tell by the" | | 4 | "She didn't look up." | | 5 | "He crouched and pointed with" | | 6 | "Quinn pulled her glove tighter" | | 7 | "She turned it over." | | 8 | "Hartley leaned in." | | 9 | "The dead man's right hand" | | 10 | "Something pressed into the skin," | | 11 | "The abandoned Tube station breathed" | | 12 | "The platform itself was long" | | 13 | "Their torchlight swept the far" | | 14 | "Hartley flipped his notebook." | | 15 | "She straightened and surveyed the" | | 16 | "The descent had taken them" | | 17 | "The third marker flagged something" | | 18 | "Quinn walked to it." | | 19 | "She studied it without picking" |
| | ratio | 0.74 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 20.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 6 | | matches | | 0 | "The descent had taken them through a maintenance hatch behind a letting agency on Chalk Farm Road, down two flights of rusted service stairs, through a corridor…" | | 1 | "One flagged a scorch mark on the platform tiles, circular, thirty centimetres across, the grout blackened outward from the centre as if something had burned fro…" | | 2 | "The face carried engraved symbols: tight, interlocking lines that curved into each other in a way that made the eye want to follow them and then refused permiss…" | | 3 | "They were fused, the grout and ceramic run together in a thin ripple, like scorched sugar, like the surface of water that remembers a stone." | | 4 | "The woman standing at the bottom of the service stairs was young, mid-twenties, with curly red hair that had fought free of a loose knot and freckles across eve…" | | 5 | "She wore a worn leather satchel across one shoulder, round glasses pushed to her forehead, and the look of someone who had decided to say something and immediat…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.235 | | leniency | 0.471 | | rawRatio | 0 | | effectiveRatio | 0 | |