| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 76.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1079 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "very" | | 1 | "gently" | | 2 | "slowly" |
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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) | |
| 72.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1079 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "pulse" | | 1 | "pulsed" | | 2 | "echo" | | 3 | "sense of" | | 4 | "weight" | | 5 | "could feel" |
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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 | 1 | | narrationSentences | 97 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 97 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1090 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1046 | | uniqueNames | 15 | | maxNameDensity | 0.67 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Jennifer" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Fae | 3 | | November | 1 | | Heartstone | 2 | | Isolde | 2 | | Evan | 1 | | Carter | 1 | | Cardiff | 1 | | Llanishen | 1 | | Street | 1 | | London | 1 | | Grove | 1 | | Jennifer | 3 | | Rory | 7 |
| | persons | | 0 | "Isolde" | | 1 | "Evan" | | 2 | "Carter" | | 3 | "Grove" | | 4 | "Jennifer" | | 5 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "November" | | 4 | "Heartstone" | | 5 | "Cardiff" | | 6 | "Llanishen" | | 7 | "Street" | | 8 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 3 | | matches | | 0 | "and tonight, apparently, it didn't" | | 1 | "quite believed it until she'd watched her breath stop fogging the air between one step and the next" | | 2 | "not quite in tune with the first" |
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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 | 1090 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 24.77 | | std | 21.93 | | cv | 0.885 | | sampleLengths | | 0 | 15 | | 1 | 45 | | 2 | 1 | | 3 | 25 | | 4 | 62 | | 5 | 56 | | 6 | 13 | | 7 | 8 | | 8 | 28 | | 9 | 7 | | 10 | 63 | | 11 | 3 | | 12 | 53 | | 13 | 22 | | 14 | 2 | | 15 | 33 | | 16 | 6 | | 17 | 40 | | 18 | 11 | | 19 | 49 | | 20 | 5 | | 21 | 1 | | 22 | 9 | | 23 | 10 | | 24 | 6 | | 25 | 7 | | 26 | 36 | | 27 | 5 | | 28 | 52 | | 29 | 8 | | 30 | 54 | | 31 | 12 | | 32 | 83 | | 33 | 6 | | 34 | 12 | | 35 | 67 | | 36 | 39 | | 37 | 15 | | 38 | 6 | | 39 | 5 | | 40 | 49 | | 41 | 26 | | 42 | 7 | | 43 | 28 |
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| 94.41% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 97 | | matches | | 0 | "been told" | | 1 | "been warned" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 184 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 103 | | ratio | 0.078 | | matches | | 0 | "Not cooled, not warmed — changed, the way a room changes when someone stops speaking mid-sentence." | | 1 | "Torchlight swung across wildflowers that had no business blooming in November — foxglove, primrose, something pale and bell-shaped she didn't know the name of." | | 2 | "It should have pulsed here, at least a little — the grove sat on a seam between worlds, and the pendant had hummed every other time she'd crossed over." | | 3 | "The path — if it was a path; the grove liked to rearrange itself — curved toward the old stump Isolde used as a seat." | | 4 | "Only at the edge of the torchlight — only for the fraction of a second it took to sweep the beam past — a shape that stood upright among the birches and wasn't a birch." | | 5 | "Then, from somewhere above her head — above, not ahead, not behind, above — a child laughed." | | 6 | "The torch showed her each one in turn and each one swallowed the light the same way, which was to say — not at all, the beam simply stopped at a certain distance and refused to travel further, as though the darkness there had weight." | | 7 | "She watched it in her peripheral vision, the way you watched a wasp — the pale vertical of it drifting between two trunks, keeping pace with her, matching her stride." |
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| 86.17% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1042 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 51 | | adverbRatio | 0.04894433781190019 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.013435700575815739 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 10.58 | | std | 9.64 | | cv | 0.911 | | sampleLengths | | 0 | 15 | | 1 | 3 | | 2 | 16 | | 3 | 26 | | 4 | 1 | | 5 | 2 | | 6 | 6 | | 7 | 6 | | 8 | 11 | | 9 | 8 | | 10 | 24 | | 11 | 6 | | 12 | 4 | | 13 | 20 | | 14 | 7 | | 15 | 6 | | 16 | 29 | | 17 | 6 | | 18 | 8 | | 19 | 13 | | 20 | 8 | | 21 | 8 | | 22 | 16 | | 23 | 2 | | 24 | 2 | | 25 | 7 | | 26 | 4 | | 27 | 24 | | 28 | 10 | | 29 | 3 | | 30 | 22 | | 31 | 3 | | 32 | 25 | | 33 | 25 | | 34 | 1 | | 35 | 1 | | 36 | 1 | | 37 | 4 | | 38 | 3 | | 39 | 2 | | 40 | 13 | | 41 | 2 | | 42 | 2 | | 43 | 18 | | 44 | 13 | | 45 | 5 | | 46 | 1 | | 47 | 7 | | 48 | 6 | | 49 | 9 |
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| 55.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3883495145631068 | | totalSentences | 103 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 80 | | matches | | 0 | "Somewhere to her left, a" | | 1 | "Only at the edge of" | | 2 | "Just birches, standing very still," | | 3 | "Then, from somewhere above her" | | 4 | "Then a third, from directly" | | 5 | "Of course it was." |
| | ratio | 0.075 | |
| 65.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 80 | | matches | | 0 | "She paused with one hand" | | 1 | "She'd expected none, not straight" | | 2 | "They came when it suited" | | 3 | "She let the branch go" | | 4 | "She'd been told that." | | 5 | "She hadn't quite believed it" | | 6 | "It should have pulsed here," | | 7 | "She stopped in the middle" | | 8 | "Her voice travelled further than" | | 9 | "It kept going after she'd" | | 10 | "She held the torch steady" | | 11 | "She moved on." | | 12 | "she told the emptiness" | | 13 | "She'd been warned about that" | | 14 | "She'd sit on the stump" | | 15 | "She made it three more" | | 16 | "She swept the beam back." | | 17 | "She swallowed and it clicked." | | 18 | "She wasn't sure where the" | | 19 | "It arrived fully formed, the" |
| | ratio | 0.388 | |
| 66.25% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 80 | | matches | | 0 | "Rory ducked under the lowest" | | 1 | "The air changed." | | 2 | "She paused with one hand" | | 3 | "She'd expected none, not straight" | | 4 | "The Fae didn't come when" | | 5 | "They came when it suited" | | 6 | "She let the branch go" | | 7 | "Torchlight swung across wildflowers that" | | 8 | "The grove had its own" | | 9 | "She'd been told that." | | 10 | "She hadn't quite believed it" | | 11 | "The Heartstone lay cool against" | | 12 | "That was the first wrong" | | 13 | "It should have pulsed here," | | 14 | "Tonight the crimson gem was" | | 15 | "A chip of glass on" | | 16 | "She stopped in the middle" | | 17 | "Her voice travelled further than" | | 18 | "It kept going after she'd" | | 19 | "Rory swung the torch." |
| | ratio | 0.788 | |
| 62.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 80 | | matches | | 0 | "If this was Isolde playing" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "Torchlight swung across wildflowers that had no business blooming in November — foxglove, primrose, something pale and bell-shaped she didn't know the name of." | | 1 | "She was proud of that, in a distant, administrative way, the part of her brain that filed things for later." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |