| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1120 | | totalAiIsmAdverbs | 1 | | 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) | |
| 37.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1120 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "warmth" | | 1 | "silence" | | 2 | "flicker" | | 3 | "footsteps" | | 4 | "flickered" | | 5 | "vibrated" | | 6 | "throbbed" | | 7 | "loomed" | | 8 | "measured" |
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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 | 109 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1120 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 1117 | | uniqueNames | 7 | | maxNameDensity | 0.27 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Three" | | discoveredNames | | Carter | 1 | | Three | 2 | | Richmond | 2 | | London | 2 | | November | 1 | | Cardiff | 1 | | Rory | 3 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "London" | | 2 | "November" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 21.43% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.786 | | wordCount | 1120 | | matches | | 0 | "Not burned, but pulled, a steady tug at her sternum toward the circle, towar" | | 1 | "Not quickly, but with terrible deliberation, grinding in their sockets like t" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 110 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 30.27 | | std | 29.15 | | cv | 0.963 | | sampleLengths | | 0 | 11 | | 1 | 110 | | 2 | 13 | | 3 | 58 | | 4 | 3 | | 5 | 36 | | 6 | 42 | | 7 | 4 | | 8 | 58 | | 9 | 43 | | 10 | 71 | | 11 | 10 | | 12 | 25 | | 13 | 43 | | 14 | 7 | | 15 | 80 | | 16 | 19 | | 17 | 7 | | 18 | 1 | | 19 | 67 | | 20 | 2 | | 21 | 70 | | 22 | 7 | | 23 | 58 | | 24 | 37 | | 25 | 5 | | 26 | 3 | | 27 | 66 | | 28 | 1 | | 29 | 26 | | 30 | 32 | | 31 | 7 | | 32 | 2 | | 33 | 80 | | 34 | 8 | | 35 | 4 | | 36 | 4 |
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| 98.83% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 109 | | matches | | 0 | "been sat" | | 1 | "been licked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 164 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 110 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 51 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 1 | | adverbRatio | 0.0196078431372549 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 10.18 | | std | 8.17 | | cv | 0.803 | | sampleLengths | | 0 | 11 | | 1 | 24 | | 2 | 18 | | 3 | 23 | | 4 | 9 | | 5 | 2 | | 6 | 34 | | 7 | 7 | | 8 | 6 | | 9 | 19 | | 10 | 21 | | 11 | 18 | | 12 | 1 | | 13 | 1 | | 14 | 1 | | 15 | 16 | | 16 | 3 | | 17 | 17 | | 18 | 7 | | 19 | 5 | | 20 | 8 | | 21 | 13 | | 22 | 9 | | 23 | 4 | | 24 | 4 | | 25 | 8 | | 26 | 20 | | 27 | 3 | | 28 | 4 | | 29 | 9 | | 30 | 9 | | 31 | 1 | | 32 | 12 | | 33 | 13 | | 34 | 5 | | 35 | 10 | | 36 | 3 | | 37 | 3 | | 38 | 8 | | 39 | 18 | | 40 | 22 | | 41 | 2 | | 42 | 5 | | 43 | 5 | | 44 | 8 | | 45 | 10 | | 46 | 1 | | 47 | 13 | | 48 | 2 | | 49 | 1 |
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| 43.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.33636363636363636 | | totalSentences | 110 | | uniqueOpeners | 37 | |
| 70.92% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 94 | | matches | | 0 | "Too clipped, too dry, like" | | 1 | "Soft, deliberate, starting at the" |
| | ratio | 0.021 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 94 | | matches | | 0 | "It dragged her out of" | | 1 | "She had come to find" | | 2 | "She stopped at the edge" | | 3 | "Her left wrist ached where" | | 4 | "It came from the hawthorn" | | 5 | "She turned, slow." | | 6 | "She turned back to the" | | 7 | "She snapped her head round." | | 8 | "She swept the camera in" | | 9 | "Her thumb froze." | | 10 | "It did not move." | | 11 | "It had not moved." | | 12 | "She did not know that" | | 13 | "She had never heard it." | | 14 | "Her scarred wrist throbbed in" | | 15 | "It steamed in the cold" | | 16 | "She took a step back." | | 17 | "Her lips moved without sound," | | 18 | "Her scar split open, a" | | 19 | "Her trainers found purchase on" |
| | ratio | 0.234 | |
| 71.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 94 | | matches | | 0 | "The pendant burned through her" | | 1 | "Rory Carter pressed her palm" | | 2 | "It dragged her out of" | | 3 | "She had come to find" | | 4 | "The grove looked ready to" | | 5 | "A broken ring of standing" | | 6 | "Wildflowers carpeted the ground, bluebells" | | 7 | "The air carried crushed green" | | 8 | "She stopped at the edge" | | 9 | "The pendant thrummed." | | 10 | "Her left wrist ached where" | | 11 | "The silence hit her like" | | 12 | "The grove held its breath," | | 13 | "It came from the hawthorn" | | 14 | "She turned, slow." | | 15 | "The branches stood still." | | 16 | "The shadows between the trunks" | | 17 | "The scratches on her arms" | | 18 | "She turned back to the" | | 19 | "A stone inside the circle" |
| | ratio | 0.777 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 5 | | matches | | 0 | "Three nights of warmth spreading across her ribs, making her think of fevers and infections, of things that should not be inside anyone." | | 1 | "It dragged her out of bed, into a cab to Richmond, then on foot through the locked park gates, through whipping branches and ankle-deep mud, past oaks that lean…" | | 2 | "The air carried crushed green and cold earth, and beneath it a metallic tang that coated her tongue." | | 3 | "The impression of a body with fingers too long and joints set at the wrong angles, something that had lain there recently and breathed the warmth out of the gro…" | | 4 | "The thing at the eastern stone had been counting her footsteps, measuring her stride, the way you measure someone for a coffin." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |