| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.306 | | leniency | 0.612 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1364 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 81.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1364 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulse" | | 2 | "footsteps" | | 3 | "whisper" |
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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 | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 79 | | 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 | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 7 | | totalWords | 1375 | | ratio | 0.005 | | matches | | 0 | "thresholds are honest" | | 1 | "doorways do not lie" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1127 | | uniqueNames | 11 | | maxNameDensity | 1.24 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 14 | | January | 1 | | Richmond | 1 | | Park | 2 | | Shade | 3 | | Marcus | 7 | | Okonjo | 1 | | Heartstone | 1 | | Nyx | 3 | | Bute | 1 | | Carvings | 1 |
| | persons | | 0 | "Rory" | | 1 | "Shade" | | 2 | "Marcus" | | 3 | "Okonjo" | | 4 | "Heartstone" | | 5 | "Nyx" | | 6 | "Carvings" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Bute" |
| | globalScore | 0.879 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 54.55% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.455 | | wordCount | 1375 | | matches | | 0 | "not letters, or not letters she knew, but something spiralling" | | 1 | "not letters she knew, but something spiralling" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 112 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 25 | | std | 24.51 | | cv | 0.98 | | sampleLengths | | 0 | 69 | | 1 | 10 | | 2 | 28 | | 3 | 3 | | 4 | 65 | | 5 | 6 | | 6 | 29 | | 7 | 35 | | 8 | 3 | | 9 | 1 | | 10 | 36 | | 11 | 7 | | 12 | 33 | | 13 | 40 | | 14 | 69 | | 15 | 5 | | 16 | 3 | | 17 | 8 | | 18 | 59 | | 19 | 8 | | 20 | 1 | | 21 | 4 | | 22 | 25 | | 23 | 14 | | 24 | 94 | | 25 | 50 | | 26 | 1 | | 27 | 19 | | 28 | 62 | | 29 | 8 | | 30 | 1 | | 31 | 6 | | 32 | 66 | | 33 | 5 | | 34 | 51 | | 35 | 45 | | 36 | 55 | | 37 | 1 | | 38 | 6 | | 39 | 7 | | 40 | 4 | | 41 | 13 | | 42 | 45 | | 43 | 35 | | 44 | 3 | | 45 | 26 | | 46 | 2 | | 47 | 2 | | 48 | 19 | | 49 | 75 |
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| 96.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 79 | | matches | | 0 | "been cropped" | | 1 | "got used" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 176 | | matches | | 0 | "was making" | | 1 | "was coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 112 | | ratio | 0.089 | | matches | | 0 | "But at the edges, where the tops of the oaks should have met the horizon, the blue bled to indigo and then to a black crowded with stars — great fat stars, low enough to feel personal, arranged in constellations Rory had never seen in twenty-five years of looking up." | | 1 | "It had gone quiet the moment they crossed the boundary — no warmth, no pulse, just a cold lump of crimson stone against her sternum." | | 2 | "Its trunk was a wall, a cliff, split and re-fused a dozen times over centuries into ropes of wood thick as her waist, and the bark was pale — not birch-pale, bone-pale, and it caught the strange half-light and threw it back." | | 3 | "Carvings ran up the jamb — not letters, or not letters she knew, but something spiralling and organic, more like the pattern of veins in a leaf than writing." | | 4 | "For a moment they went almost solid, and Rory caught what they used to be — the ghost of a jaw, a nose, the shape of a man who'd been in a room in 1643 doing something monumentally stupid." | | 5 | "Not gradually — it stepped, the way a lamp steps when someone changes the bulb, and the whole grove went from blue-white to honey-gold." | | 6 | "\"I am aware.\" Nyx's own shadow — the Shade cast one, which she'd never quite got used to — had not moved." | | 7 | "It was the only thing to do; you didn't get to the middle of a mystery and then stand about admiring the wallpaper." | | 8 | "The moss deepened until it went over her ankles, cool and clinging, and she felt something under it — regular ridges, a spacing too even for roots." | | 9 | "Somewhere above them, high in the silver canopy, something laughed — a short, bright, delighted sound, entirely female, entirely wrong to hear a hundred feet in the air." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1125 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.036444444444444446 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0071111111111111115 | |
| 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 | 12.28 | | std | 11.27 | | cv | 0.918 | | sampleLengths | | 0 | 31 | | 1 | 17 | | 2 | 21 | | 3 | 4 | | 4 | 6 | | 5 | 24 | | 6 | 4 | | 7 | 3 | | 8 | 9 | | 9 | 6 | | 10 | 50 | | 11 | 6 | | 12 | 13 | | 13 | 4 | | 14 | 3 | | 15 | 9 | | 16 | 24 | | 17 | 11 | | 18 | 3 | | 19 | 1 | | 20 | 31 | | 21 | 5 | | 22 | 7 | | 23 | 30 | | 24 | 3 | | 25 | 8 | | 26 | 25 | | 27 | 7 | | 28 | 14 | | 29 | 13 | | 30 | 42 | | 31 | 5 | | 32 | 3 | | 33 | 8 | | 34 | 2 | | 35 | 19 | | 36 | 2 | | 37 | 17 | | 38 | 19 | | 39 | 6 | | 40 | 2 | | 41 | 1 | | 42 | 4 | | 43 | 21 | | 44 | 4 | | 45 | 7 | | 46 | 7 | | 47 | 5 | | 48 | 40 | | 49 | 7 |
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| 67.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.4642857142857143 | | totalSentences | 112 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 69 | | matches | | 0 | "Directly overhead, a hard blue" | | 1 | "Just the wind, which moved" | | 2 | "Then another boot." | | 3 | "Then a third, and no" | | 4 | "Somewhere above them, high in" |
| | ratio | 0.072 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 69 | | matches | | 0 | "She stopped dead" | | 1 | "Their violet eyes lifted." | | 2 | "It was noon and it" | | 3 | "He got two steps into" | | 4 | "He held it up like" | | 5 | "He turned the phone over," | | 6 | "It had gone quiet the" | | 7 | "His boots were size twelve" | | 8 | "She kept her voice low" | | 9 | "She had seen big trees." | | 10 | "Its trunk was a wall," | | 11 | "They went into the black" | | 12 | "It went on for a" | | 13 | "They went closer." | | 14 | "She reached out and stopped" | | 15 | "Their voice came from everywhere" | | 16 | "It was the only thing" | | 17 | "she said, before Marcus could" | | 18 | "He straightened up so fast" |
| | ratio | 0.275 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 69 | | matches | | 0 | "The oak stones leaned like" | | 1 | "The next, warmth pressed against" | | 2 | "She stopped dead" | | 3 | "The Shade poured through the" | | 4 | "Their violet eyes lifted." | | 5 | "It was noon and it" | | 6 | "Nyx drifted forward, and where" | | 7 | "He got two steps into" | | 8 | "He held it up like" | | 9 | "He turned the phone over," | | 10 | "Rory tucked the Heartstone back" | | 11 | "It had gone quiet the" | | 12 | "That bothered her more than" | | 13 | "The grove opened ahead of" | | 14 | "Grass so short and even" | | 15 | "Wildflowers everywhere, and that was" | | 16 | "The ground gave slightly underfoot," | | 17 | "His boots were size twelve" | | 18 | "She kept her voice low" | | 19 | "Nyx had gone thin and" |
| | ratio | 0.696 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 79.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 3 | | matches | | 0 | "Behind them came the crunch of boots, then a curse, then Marcus Okonjo shouldering through the standing stones with his rucksack snagging on stone." | | 1 | "Silver on the underside, and when the wind that wasn't for them ran through, the whole canopy turned over at once with a sound like rain on a conservatory roof,…" | | 2 | "For a moment they went almost solid, and Rory caught what they used to be — the ghost of a jaw, a nose, the shape of a man who'd been in a room in 1643 doing so…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.122 | | leniency | 0.245 | | rawRatio | 0 | | effectiveRatio | 0 | |