| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.327 | | leniency | 0.653 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1467 | | 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) | |
| 72.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1467 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "warmth" | | 1 | "echo" | | 2 | "stomach" | | 3 | "lurch" | | 4 | "chill" | | 5 | "traced" | | 6 | "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 | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 78 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1479 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 1101 | | uniqueNames | 9 | | maxNameDensity | 0.82 | | worstName | "Nyx" | | maxWindowNameDensity | 1 | | worstWindowName | "Nyx" | | discoveredNames | | Nyx | 9 | | Silas | 1 | | Rory | 4 | | December | 1 | | Roehampton | 1 | | Park | 1 | | Heartstone | 1 | | Kingston | 1 | | January | 1 |
| | persons | | | places | | 0 | "Park" | | 1 | "Kingston" | | 2 | "January" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like nothing at all — no wet, no c" |
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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 | 1479 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 25.95 | | std | 27.61 | | cv | 1.064 | | sampleLengths | | 0 | 56 | | 1 | 4 | | 2 | 32 | | 3 | 22 | | 4 | 2 | | 5 | 24 | | 6 | 62 | | 7 | 7 | | 8 | 28 | | 9 | 5 | | 10 | 6 | | 11 | 12 | | 12 | 3 | | 13 | 97 | | 14 | 13 | | 15 | 1 | | 16 | 1 | | 17 | 99 | | 18 | 1 | | 19 | 2 | | 20 | 2 | | 21 | 21 | | 22 | 56 | | 23 | 10 | | 24 | 80 | | 25 | 8 | | 26 | 3 | | 27 | 36 | | 28 | 31 | | 29 | 83 | | 30 | 3 | | 31 | 25 | | 32 | 2 | | 33 | 12 | | 34 | 16 | | 35 | 87 | | 36 | 10 | | 37 | 4 | | 38 | 55 | | 39 | 3 | | 40 | 41 | | 41 | 74 | | 42 | 4 | | 43 | 37 | | 44 | 3 | | 45 | 2 | | 46 | 29 | | 47 | 76 | | 48 | 45 | | 49 | 13 |
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| 96.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 78 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 175 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 112 | | ratio | 0.089 | | matches | | 0 | "Tonight there were eleven, and two of them had no bark — just grey stone, split and pitted, with roots still gripping the frozen earth as if they hadn't yet noticed they'd stopped being wood." | | 1 | "Not warmth exactly — the air simply stopped having opinions about her, sitting on her skin at exactly the temperature of her own blood, and the loss of the December ache made her stagger." | | 2 | "Richmond Park was flat here; she'd cycled it." | | 3 | "The grass gave underfoot with no crackle, no give of frozen mud, and left no print behind her — nothing bent, nothing crushed, the whole path she'd walked erasing itself like water closing over a dropped stone." | | 4 | "Hundreds of them, worn smooth, none of them from anything she could name — some too long, some hinged wrong, one the size of her fist with three sockets in it." | | 5 | "Her boots went into the water to the ankle and it felt like nothing at all — no wet, no chill, no drag." | | 6 | "Some plaits grey and brittle, some so black and glossy they might have been cut that morning, all of them knotted into the low branches with small objects tied in — a wedding ring, a bus ticket, a milk tooth, a key." | | 7 | "She'd assumed moon, and there was a moon, but it hung too low and too large and wore a ring of other lights around it — nine, ten, small hard points arranged in a slow circle, and none of them belonged to any constellation she'd ever traced from her parents' back garden in Cardiff." | | 8 | "Fitted, hinged, with a handle of dull green metal shaped like a leaping hare, and around the frame a band of carving worn nearly smooth by hands — letters, or something that wanted to be letters, curling in on themselves." | | 9 | "Something in her wrist itched — the old crescent scar, throbbing in time with nothing." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 406 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.03940886699507389 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.014778325123152709 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 13.21 | | std | 12.52 | | cv | 0.948 | | sampleLengths | | 0 | 5 | | 1 | 16 | | 2 | 35 | | 3 | 4 | | 4 | 17 | | 5 | 15 | | 6 | 19 | | 7 | 3 | | 8 | 2 | | 9 | 15 | | 10 | 9 | | 11 | 2 | | 12 | 21 | | 13 | 39 | | 14 | 3 | | 15 | 4 | | 16 | 4 | | 17 | 24 | | 18 | 5 | | 19 | 6 | | 20 | 8 | | 21 | 4 | | 22 | 3 | | 23 | 7 | | 24 | 34 | | 25 | 7 | | 26 | 21 | | 27 | 4 | | 28 | 24 | | 29 | 3 | | 30 | 10 | | 31 | 1 | | 32 | 1 | | 33 | 15 | | 34 | 8 | | 35 | 23 | | 36 | 6 | | 37 | 11 | | 38 | 36 | | 39 | 1 | | 40 | 2 | | 41 | 2 | | 42 | 21 | | 43 | 4 | | 44 | 15 | | 45 | 37 | | 46 | 10 | | 47 | 3 | | 48 | 2 | | 49 | 41 |
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| 89.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5625 | | totalSentences | 112 | | uniqueOpeners | 63 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 63 | | matches | | 0 | "He nodded at the two" | | 1 | "She stepped through." | | 2 | "She could see the black" | | 3 | "She clapped her hands once" | | 4 | "She watched the ground." | | 5 | "It ran uphill." | | 6 | "They crossed the stream in" | | 7 | "Her boots went into the" | | 8 | "She'd assumed moon, and there" | | 9 | "Their form had thickened as" | | 10 | "They gestured at the ringed" | | 11 | "She noticed it now, because" | | 12 | "She tucked it back under" |
| | ratio | 0.206 | |
| 86.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 63 | | matches | | 0 | "The gate wasn't a gate." | | 1 | "Rory had walked past that" | | 2 | "Tonight there were eleven, and" | | 3 | "Nyx drifted a pace ahead" | | 4 | "Silas stopped at the treeline" | | 5 | "He nodded at the two" | | 6 | "Rime lay thick across the" | | 7 | "Nyx laughed, a sound like" | | 8 | "She stepped through." | | 9 | "The cold went out of" | | 10 | "She could see the black" | | 11 | "She clapped her hands once" | | 12 | "The grove ran downhill in" | | 13 | "Richmond Park was flat here;" | | 14 | "This slope went down and" | | 15 | "Foxgloves shoulder to shoulder with" | | 16 | "Bluebells nodding beside poppies gone" | | 17 | "A rose bush had thrown" | | 18 | "She watched the ground." | | 19 | "The grass gave underfoot with" |
| | ratio | 0.746 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 8.93% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 6 | | matches | | 0 | "Tonight there were eleven, and two of them had no bark — just grey stone, split and pitted, with roots still gripping the frozen earth as if they hadn't yet not…" | | 1 | "Between the standing stones it simply ended, a clean line as though someone had drawn it with a ruler, and past it the grass lay soft and green and moving in a …" | | 2 | "A slow clear ribbon about three feet across, climbing the slope toward the far rim in a way that made her stomach lurch when she tracked it too long, and along …" | | 3 | "Oak, mostly, but grown to a scale that made her think of cathedral pillars, and hung with something she took for mistletoe until she got closer and saw the tang…" | | 4 | "Toadstools ringed the clearing ahead in a circle forty feet across, each cap pale as bone and turned upward like a small dish, and each dish held a thimbleful o…" | | 5 | "Fitted, hinged, with a handle of dull green metal shaped like a leaping hare, and around the frame a band of carving worn nearly smooth by hands — letters, or s…" |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 2 | | matches | | 0 | "Nyx drifted, their edges fraying into the dark between trunks" | | 1 | "Nyx said, without turning around" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 49 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.143 | | effectiveRatio | 0.041 | |