| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1426 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "really" | | 1 | "slightly" | | 2 | "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) | |
| 71.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1426 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "weight" | | 3 | "throbbed" | | 4 | "perfect" | | 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 | 0 | | narrationSentences | 127 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 127 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 130 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 11 | | totalWords | 1434 | | ratio | 0.008 | | matches | | 0 | "He was here. The grove. Come at eleven. Don't be late." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1428 | | uniqueNames | 19 | | maxNameDensity | 0.7 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Park | 1 | | Rory | 10 | | Roehampton | 1 | | Eva | 5 | | Richmond | 3 | | Heathrow | 1 | | November | 1 | | Heartstone | 1 | | Hel | 2 | | Silas | 2 | | Grove | 4 | | Earth | 1 | | Cardiff | 1 | | Golden | 1 | | Empress | 1 | | Jennifer | 1 | | Carter | 1 | | Brendan | 1 | | Groves | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Hel" | | 3 | "Silas" | | 4 | "Grove" | | 5 | "Jennifer" | | 6 | "Carter" | | 7 | "Brendan" | | 8 | "Groves" |
| | places | | 0 | "Park" | | 1 | "Richmond" | | 2 | "Earth" | | 3 | "Cardiff" | | 4 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.697 | | wordCount | 1434 | | matches | | 0 | "not building but arriving whole: something was directly behind her, close eno" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 130 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 28.68 | | std | 23.15 | | cv | 0.807 | | sampleLengths | | 0 | 42 | | 1 | 6 | | 2 | 69 | | 3 | 3 | | 4 | 11 | | 5 | 58 | | 6 | 4 | | 7 | 88 | | 8 | 20 | | 9 | 51 | | 10 | 2 | | 11 | 27 | | 12 | 58 | | 13 | 1 | | 14 | 16 | | 15 | 1 | | 16 | 73 | | 17 | 3 | | 18 | 56 | | 19 | 11 | | 20 | 48 | | 21 | 43 | | 22 | 25 | | 23 | 34 | | 24 | 3 | | 25 | 46 | | 26 | 14 | | 27 | 48 | | 28 | 11 | | 29 | 65 | | 30 | 45 | | 31 | 9 | | 32 | 19 | | 33 | 2 | | 34 | 19 | | 35 | 32 | | 36 | 3 | | 37 | 31 | | 38 | 60 | | 39 | 4 | | 40 | 9 | | 41 | 58 | | 42 | 56 | | 43 | 8 | | 44 | 16 | | 45 | 37 | | 46 | 25 | | 47 | 39 | | 48 | 19 | | 49 | 6 |
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| 91.45% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 127 | | matches | | 0 | "was supposed" | | 1 | "were locked" | | 2 | "been vacuumed" | | 3 | "was filled" | | 4 | "was blocked" |
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| 35.39% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 243 | | matches | | 0 | "were listening" | | 1 | "was shaking" | | 2 | "was not breathing" | | 3 | "was waiting" | | 4 | "were bending" | | 5 | "was not going" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 130 | | ratio | 0.062 | | matches | | 0 | "London never stopped making noise, even in its green spaces - distant traffic on the A3, planes stacked for Heathrow, foxes screaming at each other like murdered children." | | 1 | "Inside that circle, the grass was always wrong - too green for November, and wildflowers blooming year-round in a dense, messy carpet, white stitchwort and yellow tormentil that should have been dead weeks ago." | | 2 | "The old stories Silas told over the bar downstairs after last call - he always said Hel didn't like to open near the Grove because the Grove didn't belong entirely to Earth." | | 3 | "Her black hair, cut straight to her shoulders, kept catching on the collar of her delivery jacket from Golden Empress - she hadn't changed after shift." | | 4 | "Not a twig snap - a wet sound, like a foot coming out of mud, though the ground was dry." | | 5 | "Her left wrist itched where the small crescent-shaped scar pulled tight - old white tissue from when she was seven and fell on a broken mug in her mother's classroom." | | 6 | "Or - no." | | 7 | "A third sound, from directly behind her left ear, so close her straight black hair stirred though there was no wind - a thin, curious inhale, as if something tall were bending down to smell her scalp." |
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| 86.85% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1428 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "tight - old white tissue" |
| | adverbCount | 59 | | adverbRatio | 0.04131652661064426 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.0070028011204481795 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 130 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 130 | | mean | 11.03 | | std | 9.55 | | cv | 0.866 | | sampleLengths | | 0 | 9 | | 1 | 33 | | 2 | 6 | | 3 | 7 | | 4 | 3 | | 5 | 2 | | 6 | 3 | | 7 | 16 | | 8 | 12 | | 9 | 16 | | 10 | 10 | | 11 | 3 | | 12 | 5 | | 13 | 6 | | 14 | 28 | | 15 | 7 | | 16 | 10 | | 17 | 6 | | 18 | 7 | | 19 | 4 | | 20 | 32 | | 21 | 22 | | 22 | 34 | | 23 | 14 | | 24 | 6 | | 25 | 7 | | 26 | 36 | | 27 | 4 | | 28 | 4 | | 29 | 2 | | 30 | 27 | | 31 | 5 | | 32 | 10 | | 33 | 2 | | 34 | 9 | | 35 | 32 | | 36 | 1 | | 37 | 4 | | 38 | 11 | | 39 | 1 | | 40 | 1 | | 41 | 7 | | 42 | 6 | | 43 | 24 | | 44 | 26 | | 45 | 10 | | 46 | 3 | | 47 | 14 | | 48 | 13 | | 49 | 29 |
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| 40.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.3230769230769231 | | totalSentences | 130 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 118 | | matches | | 0 | "Normally it hung inert." | | 1 | "Just more flowers and the" | | 2 | "Then, at the edge of" | | 3 | "Always seven, a number the" |
| | ratio | 0.034 | |
| 74.24% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 118 | | matches | | 0 | "She hadn't come for a" | | 1 | "*He was here." | | 2 | "Her trainers on the dirt" | | 3 | "Her breath plumed and vanished" | | 4 | "She reached the oaks." | | 5 | "She knew them even in" | | 6 | "They made a loose circle" | | 7 | "It was small, roughly the" | | 8 | "She frowned down at it." | | 9 | "Her head snapped up." | | 10 | "Her own voice, hoarse, came" | | 11 | "She pushed between two of" | | 12 | "It always did, that subtle" | | 13 | "She felt it go sideways," | | 14 | "Her bright blue eyes were" | | 15 | "Her black hair, cut straight" | | 16 | "She shoved it behind her" | | 17 | "she muttered, trying to borrow" | | 18 | "It was what everyone said" | | 19 | "She wished she felt it" |
| | ratio | 0.364 | |
| 65.93% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 93 | | totalSentences | 118 | | matches | | 0 | "Richmond Park after dark was" | | 1 | "The gates were locked, the" | | 2 | "She hadn't come for a" | | 3 | "The text from Eva had" | | 4 | "*He was here." | | 5 | "Eva never went to Richmond" | | 6 | "Eva thought parks at night" | | 7 | "That was exactly the kind" | | 8 | "The park was too quiet." | | 9 | "That was the first wrong" | | 10 | "London never stopped making noise," | | 11 | "Tonight the air had been" | | 12 | "Her trainers on the dirt" | | 13 | "The wind didn't move the" | | 14 | "Her breath plumed and vanished" | | 15 | "She reached the oaks." | | 16 | "She knew them even in" | | 17 | "They made a loose circle" | | 18 | "Rory stopped at the boundary" | | 19 | "The bark was damp and" |
| | ratio | 0.788 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 118 | | matches | | 0 | "Now it was warm." | | 1 | "Or - no." | | 2 | "Now it was filled with" |
| | ratio | 0.025 | |
| 42.86% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 7 | | matches | | 0 | "She knew them even in the dark, the ancient standing stones that weren't stones at all but the trunks of oaks grown so thick and gnarled they had swallowed thei…" | | 1 | "Inside that circle, the grass was always wrong - too green for November, and wildflowers blooming year-round in a dense, messy carpet, white stitchwort and yell…" | | 2 | "Not light, not really, just a faint inner glow like an ember breathing, and a wash of heat against her sternum that faded and came again, stronger." | | 3 | "The clearing beyond was larger than it should have been, the trees leaning away to make a sky that held more stars than Richmond ever saw." | | 4 | "Bent outward in a perfect circle, as if something heavy had been lying there a long time and only just gotten up." | | 5 | "A third sound, from directly behind her left ear, so close her straight black hair stirred though there was no wind - a thin, curious inhale, as if something ta…" | | 6 | "She stepped forward, one foot into the bent circle of flowers, toward the center that was not a center anymore, because the intelligent, out-of-the-box thing wa…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, and her voice was too small" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.5 | | effectiveRatio | 0.4 | |