| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.343 | | leniency | 0.686 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1145 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "softly" | | 1 | "suddenly" | | 2 | "slowly" | | 3 | "very" |
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| 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) | |
| 78.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1145 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "measured" | | 1 | "whisper" | | 2 | "trembled" | | 3 | "silence" | | 4 | "pulse" |
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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 | 82 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1157 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 86.84% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 950 | | uniqueNames | 10 | | maxNameDensity | 1.26 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | November | 1 | | Nyx | 6 | | Aurora | 12 | | January | 1 | | Richmond | 1 | | Park | 1 | | Gentle | 1 | | Hel-warm | 1 | | Ahead | 1 | | Eva | 7 |
| | persons | | 0 | "Nyx" | | 1 | "Aurora" | | 2 | "Ahead" | | 3 | "Eva" |
| | places | | 0 | "November" | | 1 | "Richmond" | | 2 | "Park" |
| | globalScore | 0.868 | | windowScore | 1 | |
| 96.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 1 | | matches | | 0 | "something close to a person" |
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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 | 1157 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 23.61 | | std | 22.05 | | cv | 0.934 | | sampleLengths | | 0 | 8 | | 1 | 47 | | 2 | 7 | | 3 | 29 | | 4 | 7 | | 5 | 12 | | 6 | 23 | | 7 | 24 | | 8 | 6 | | 9 | 49 | | 10 | 29 | | 11 | 3 | | 12 | 73 | | 13 | 48 | | 14 | 5 | | 15 | 8 | | 16 | 54 | | 17 | 9 | | 18 | 3 | | 19 | 50 | | 20 | 18 | | 21 | 3 | | 22 | 88 | | 23 | 15 | | 24 | 6 | | 25 | 11 | | 26 | 25 | | 27 | 45 | | 28 | 7 | | 29 | 53 | | 30 | 17 | | 31 | 5 | | 32 | 3 | | 33 | 1 | | 34 | 35 | | 35 | 6 | | 36 | 55 | | 37 | 6 | | 38 | 3 | | 39 | 4 | | 40 | 13 | | 41 | 27 | | 42 | 76 | | 43 | 9 | | 44 | 41 | | 45 | 8 | | 46 | 49 | | 47 | 22 | | 48 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 159 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 104 | | ratio | 0.096 | | matches | | 0 | "Aurora felt it in her sternum before she saw it — a slow pressure, as though the air between the trunks had thickened enough to drink." | | 1 | "The bluebells gave under her sole with the crisp little snap of January frost, though the air smelled of summer — cut grass, warm stone, something sweet and green she couldn't name." | | 2 | "Behind them, Richmond Park — the yellowed grass, the distant carp of rutting deer, the steady hum of the A3 — folded shut like a book." | | 3 | "Moss had grown across their shoulders in patterns that looked deliberate — spirals, knots, the same loop drawn twice and then left unfinished." | | 4 | "Not moved — turned, the way a head turns to follow a sound." | | 5 | "From the threshold it had seemed the size of a tennis court; a dozen paces in, the far side receded, drew back, put more ground between itself and them with each step, as if the clearing were exhaling." | | 6 | "A brook appeared that had not been there — silver water over black pebbles, running uphill with a sound like someone humming a half-remembered lullaby." | | 7 | "The letters — if letters they were — had been cut deep into the rock and filled with something that caught the amber sky and threw it back green." | | 8 | "Somewhere above them — if there was an above, here — something called out." | | 9 | "They followed it around the base of a hawthorn that had been split by lightning and then, it seemed, stitched back together with threads of actual gold — fine bright seams running up its trunk where the wound had been." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 942 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.037154989384288746 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009554140127388535 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 11.13 | | std | 9.35 | | cv | 0.841 | | sampleLengths | | 0 | 6 | | 1 | 2 | | 2 | 26 | | 3 | 21 | | 4 | 7 | | 5 | 17 | | 6 | 12 | | 7 | 7 | | 8 | 12 | | 9 | 3 | | 10 | 7 | | 11 | 13 | | 12 | 19 | | 13 | 5 | | 14 | 6 | | 15 | 5 | | 16 | 32 | | 17 | 12 | | 18 | 3 | | 19 | 26 | | 20 | 3 | | 21 | 9 | | 22 | 41 | | 23 | 23 | | 24 | 7 | | 25 | 6 | | 26 | 15 | | 27 | 12 | | 28 | 8 | | 29 | 5 | | 30 | 3 | | 31 | 1 | | 32 | 4 | | 33 | 2 | | 34 | 23 | | 35 | 10 | | 36 | 3 | | 37 | 16 | | 38 | 6 | | 39 | 3 | | 40 | 3 | | 41 | 7 | | 42 | 13 | | 43 | 21 | | 44 | 4 | | 45 | 5 | | 46 | 13 | | 47 | 5 | | 48 | 3 | | 49 | 10 |
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| 71.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.46153846153846156 | | totalSentences | 104 | | uniqueOpeners | 48 | |
| 99.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 67 | | matches | | 0 | "Somewhere above them — if" | | 1 | "Then, slowly, they tilted back." |
| | ratio | 0.03 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 67 | | matches | | 0 | "She stopped with her foot" | | 1 | "Their outline frayed at the" | | 2 | "They walked forward." | | 3 | "Her knees found the ground" | | 4 | "She touched the petal of" | | 5 | "It was warm." | | 6 | "She looked up." | | 7 | "Their bark had opened along" | | 8 | "They went deeper." | | 9 | "She withdrew her hand." | | 10 | "They glowed, faint and blue," | | 11 | "She crouched, not touching, just" | | 12 | "They followed it around the" | | 13 | "It was also moving backwards." | | 14 | "It was also, when she" | | 15 | "She did not turn." | | 16 | "She spoke, and her voice" |
| | ratio | 0.254 | |
| 57.01% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 67 | | matches | | 0 | "The oaks did not move," | | 1 | "Aurora felt it in her" | | 2 | "She stopped with her foot" | | 3 | "Their outline frayed at the" | | 4 | "The violet of their eyes" | | 5 | "Eva swore softly somewhere to" | | 6 | "Aurora set her foot down." | | 7 | "The bluebells gave under her" | | 8 | "The pendant at her throat" | | 9 | "They walked forward." | | 10 | "The clearing opened the way" | | 11 | "Moss had grown across their" | | 12 | "Wildflowers ran ankle-deep across the" | | 13 | "Foxgloves the height of a" | | 14 | "Poppies with centres so black" | | 15 | "A snowdrop, absurdly, nodding at" | | 16 | "Her knees found the ground" | | 17 | "She touched the petal of" | | 18 | "It was warm." | | 19 | "The black at its centre" |
| | ratio | 0.806 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 43.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 5 | | matches | | 0 | "She stopped with her foot halfway raised, boot hovering above a tuft of bluebells that had no business growing in November." | | 1 | "Moss had grown across their shoulders in patterns that looked deliberate — spirals, knots, the same loop drawn twice and then left unfinished." | | 2 | "From the threshold it had seemed the size of a tennis court; a dozen paces in, the far side receded, drew back, put more ground between itself and them with eac…" | | 3 | "They glowed, faint and blue, as though lit from within by a candle behind thin paper." | | 4 | "They followed it around the base of a hawthorn that had been split by lightning and then, it seemed, stitched back together with threads of actual gold — fine b…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 92.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "Eva breathed (breathe)" | | 1 | "Nyx murmured (murmur)" |
| | dialogueSentences | 35 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.2 | | effectiveRatio | 0.114 | |