| 18.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva started then [then]" | | 1 | "Rory said softly [softly]" |
| | dialogueSentences | 20 | | tagDensity | 0.55 | | leniency | 1 | | rawRatio | 0.182 | | effectiveRatio | 0.182 | |
| 85.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1061 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "softly" | | 1 | "very" | | 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) | |
| 67.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1061 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "flicker" | | 1 | "shimmered" | | 2 | "velvet" | | 3 | "stomach" | | 4 | "weight" | | 5 | "pulse" | | 6 | "glinting" |
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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 | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1078 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 987 | | uniqueNames | 12 | | maxNameDensity | 1.52 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | London | 1 | | Rory | 15 | | Veil | 1 | | Heartstone | 2 | | Eva | 9 | | Nyx | 6 | | February | 1 | | Fae | 2 | | Isolde | 4 | | You | 3 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Nyx" | | 3 | "Fae" | | 4 | "Isolde" | | 5 | "You" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.74 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 4 | | matches | | 0 | "quite faces — a suggestion of a cheekbone, the hint of an eye closed in sleep" | | 1 | "looked like a poppy made of spun glass" | | 2 | "not quite touching" | | 3 | "not quite a smile" |
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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 | 1078 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 33.69 | | std | 31.42 | | cv | 0.933 | | sampleLengths | | 0 | 12 | | 1 | 57 | | 2 | 16 | | 3 | 6 | | 4 | 117 | | 5 | 43 | | 6 | 22 | | 7 | 4 | | 8 | 20 | | 9 | 93 | | 10 | 76 | | 11 | 17 | | 12 | 5 | | 13 | 9 | | 14 | 8 | | 15 | 10 | | 16 | 80 | | 17 | 94 | | 18 | 6 | | 19 | 9 | | 20 | 10 | | 21 | 31 | | 22 | 64 | | 23 | 32 | | 24 | 6 | | 25 | 23 | | 26 | 54 | | 27 | 73 | | 28 | 12 | | 29 | 18 | | 30 | 44 | | 31 | 7 |
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| 84.92% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 69 | | matches | | 0 | "was — gave" | | 1 | "been worn" | | 2 | "was gone" | | 3 | "been forged" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 164 | | matches | | 0 | "was running" | | 1 | "was remembering" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 78 | | ratio | 0.128 | | matches | | 0 | "One heartbeat ago, Richmond Park had been behind her — joggers panting down gravel paths, a plane dragging its noise across the sky, the sodium flicker of London bleeding over the treeline." | | 1 | "Seven standing stones ringed a clearing the size of a small chapel, each stone a knot of petrified oak taller than a man, their bark twisted into faces that weren't quite faces — a suggestion of a cheekbone, the hint of an eye closed in sleep." | | 2 | "Not burning — not here — but humming, the way a cat hums when it is content and pretending not to be." | | 3 | "The grass — if grass was what it was — gave beneath her boot with a yielding softness, like moss grown over velvet." | | 4 | "It was the same pale February grey, but it had depth to it, layers — she could see the shape of clouds behind clouds behind clouds, stacked like pages in a half-open book." | | 5 | "Her father had drilled courtroom rules into her all her life; it turned out the Fae had rules too, and they were not so different, only older and more expensive when broken." | | 6 | "Her own face looked up at her from the water — and behind her face, for just an instant, a second face, older, silver-haired, watching with patient lavender eyes." | | 7 | "She left, as always, no footprint — no crushed flower, no bruised stem — as though the grove itself held her a careful half-inch above its surface." | | 8 | "Rory felt the Heartstone pulse once against her sternum — warm, warmer than before, warm enough to notice." | | 9 | "Rory exhaled, touched the small crescent scar on her wrist the way she always did before stepping off a ledge — a small, private benediction — and followed the seer into the grove that was larger inside than it had any right to be." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 981 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.03873598369011213 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007135575942915392 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 13.82 | | std | 10.42 | | cv | 0.754 | | sampleLengths | | 0 | 12 | | 1 | 32 | | 2 | 25 | | 3 | 9 | | 4 | 7 | | 5 | 4 | | 6 | 2 | | 7 | 13 | | 8 | 46 | | 9 | 15 | | 10 | 17 | | 11 | 4 | | 12 | 22 | | 13 | 21 | | 14 | 10 | | 15 | 12 | | 16 | 19 | | 17 | 3 | | 18 | 4 | | 19 | 14 | | 20 | 6 | | 21 | 4 | | 22 | 23 | | 23 | 29 | | 24 | 15 | | 25 | 11 | | 26 | 11 | | 27 | 12 | | 28 | 3 | | 29 | 14 | | 30 | 33 | | 31 | 14 | | 32 | 17 | | 33 | 5 | | 34 | 5 | | 35 | 4 | | 36 | 8 | | 37 | 10 | | 38 | 16 | | 39 | 21 | | 40 | 3 | | 41 | 3 | | 42 | 5 | | 43 | 32 | | 44 | 17 | | 45 | 23 | | 46 | 4 | | 47 | 29 | | 48 | 6 | | 49 | 15 |
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| 75.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5 | | totalSentences | 78 | | uniqueOpeners | 39 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 66 | | matches | | 0 | "Then she had ducked beneath" | | 1 | "Only her own reflection remained," | | 2 | "Somewhere down it, water was" |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 66 | | matches | | 0 | "Her hand closed hard around" | | 1 | "they whispered, and their voice" | | 2 | "It was, she thought, the" | | 3 | "It was the wrong month" | | 4 | "It was the same pale" | | 5 | "She had done enough reading," | | 6 | "You ate nothing." | | 7 | "You promised nothing." | | 8 | "You left what you found." | | 9 | "Her father had drilled courtroom" | | 10 | "Her own face looked up" | | 11 | "She rose and turned." | | 12 | "Her silver hair moved in" | | 13 | "She left, as always, no" | | 14 | "It was not quite a" | | 15 | "She turned between two of" | | 16 | "She pressed her palm flat" | | 17 | "She glanced at Eva." |
| | ratio | 0.273 | |
| 58.48% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 66 | | matches | | 0 | "Rory felt the world hush" | | 1 | "Eva started, then swallowed the" | | 2 | "Her hand closed hard around" | | 3 | "Rory said softly" | | 4 | "The grove opened before them" | | 5 | "The Veil, Rory realised, and" | | 6 | "The pendant was warm." | | 7 | "Nyx drifted in behind them," | | 8 | "Violet eyes surfaced from the" | | 9 | "they whispered, and their voice" | | 10 | "Nyx's head tilted" | | 11 | "Rory took another step." | | 12 | "The grass — if grass" | | 13 | "Wildflowers nodded around her ankles" | | 14 | "Bluebells bloomed beside foxgloves beside" | | 15 | "It was, she thought, the" | | 16 | "It was the wrong month" | | 17 | "A bird called somewhere above," | | 18 | "Rory looked up." | | 19 | "The sky inside the ring" |
| | ratio | 0.803 | |
| 75.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 66 | | matches | | | ratio | 0.015 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 8 | | matches | | 0 | "One heartbeat ago, Richmond Park had been behind her — joggers panting down gravel paths, a plane dragging its noise across the sky, the sodium flicker of Londo…" | | 1 | "Then she had ducked beneath a low branch, and all of it simply stopped, as if someone had drawn a curtain across the ordinary world." | | 2 | "Seven standing stones ringed a clearing the size of a small chapel, each stone a knot of petrified oak taller than a man, their bark twisted into faces that wer…" | | 3 | "Bluebells bloomed beside foxgloves beside something that looked like a poppy made of spun glass." | | 4 | "She left, as always, no footprint — no crushed flower, no bruised stem — as though the grove itself held her a careful half-inch above its surface." | | 5 | "Now it was a corridor of sun-dappled green, a path winding away into trees that had not been there when they arrived." | | 6 | "Beneath her jacket, at her hip, the Fae blade Isolde had given her weeks ago answered in its own way: a coolness, a small, clear note of cold against her skin, …" | | 7 | "Rory exhaled, touched the small crescent scar on her wrist the way she always did before stepping off a ledge — a small, private benediction — and followed the …" |
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| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 2 | | matches | | 0 | "they whispered, and their voice was the sound of leaves moving though no leaves moved" | | 1 | "Nyx said, not urgently" |
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| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "they whispered (whisper)" | | 1 | "Nyx murmured (murmur)" |
| | dialogueSentences | 20 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0.286 | | effectiveRatio | 0.2 | |