| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 70.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1016 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "truly" | | 1 | "slowly" | | 2 | "very" | | 3 | "carefully" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1016 | | totalAiIsms | 31 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "down her spine" | | count | 1 |
| | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "familiar" | | 1 | "profound" | | 2 | "silence" | | 3 | "tinged" | | 4 | "gloom" | | 5 | "pulsed" | | 6 | "beacon" | | 7 | "could feel" | | 8 | "traced" | | 9 | "down her spine" | | 10 | "scanned" | | 11 | "sentinels" | | 12 | "rhythmic" | | 13 | "footfall" | | 14 | "flicker" | | 15 | "calculated" | | 16 | "measured" | | 17 | "pulse" | | 18 | "chill" | | 19 | "weight" | | 20 | "palpable" | | 21 | "loomed" |
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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 | 101 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 101 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 8 | | totalWords | 1008 | | ratio | 0.008 | | matches | | 0 | "Scrape. Scrape. Scrape." | | 1 | "Scrape. Scrape." | | 2 | "Scrape. Tear. Scrape." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 1008 | | uniqueNames | 8 | | maxNameDensity | 0.6 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 6 | | London | 2 | | Fae | 1 | | Grove | 1 | | Heartstone | 1 | | Richmond | 1 | | Park | 1 | | English | 1 |
| | persons | | | places | | 0 | "London" | | 1 | "Fae" | | 2 | "Grove" | | 3 | "Richmond" | | 4 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a petrified, twisted spine" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.992 | | wordCount | 1008 | | matches | | 0 | "Not the gentle chill of an English night, but a deep, penetrating cold" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 37.33 | | std | 28.16 | | cv | 0.754 | | sampleLengths | | 0 | 50 | | 1 | 76 | | 2 | 79 | | 3 | 53 | | 4 | 58 | | 5 | 4 | | 6 | 7 | | 7 | 49 | | 8 | 2 | | 9 | 8 | | 10 | 87 | | 11 | 82 | | 12 | 59 | | 13 | 33 | | 14 | 53 | | 15 | 54 | | 16 | 4 | | 17 | 67 | | 18 | 3 | | 19 | 60 | | 20 | 28 | | 21 | 37 | | 22 | 7 | | 23 | 2 | | 24 | 5 | | 25 | 16 | | 26 | 25 |
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| 94.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 101 | | matches | | 0 | "being drawn" | | 1 | "was gone" | | 2 | "was joined" |
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| 74.21% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 159 | | matches | | 0 | "were putting" | | 1 | "was circling" | | 2 | "was cracking" |
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| 86.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 101 | | ratio | 0.02 | | matches | | 0 | "Flowers that had no business blooming together—snowdrops and bluebells, poppies and foxgloves—all pulsed with a faint, internal luminescence." | | 1 | "The feeling of being watched was no longer a paranoid twitch; it was a palpable force, a gaze that bored into her back." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1016 | | adjectiveStacks | 2 | | stackExamples | | 0 | "soft, violet-tinged gloom" | | 1 | "small crescent-shaped scar" |
| | adverbCount | 37 | | adverbRatio | 0.03641732283464567 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008858267716535433 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 9.98 | | std | 7.45 | | cv | 0.747 | | sampleLengths | | 0 | 18 | | 1 | 19 | | 2 | 6 | | 3 | 7 | | 4 | 25 | | 5 | 18 | | 6 | 23 | | 7 | 10 | | 8 | 13 | | 9 | 3 | | 10 | 2 | | 11 | 18 | | 12 | 16 | | 13 | 27 | | 14 | 8 | | 15 | 25 | | 16 | 12 | | 17 | 1 | | 18 | 3 | | 19 | 4 | | 20 | 12 | | 21 | 20 | | 22 | 19 | | 23 | 7 | | 24 | 4 | | 25 | 4 | | 26 | 1 | | 27 | 1 | | 28 | 1 | | 29 | 14 | | 30 | 6 | | 31 | 7 | | 32 | 8 | | 33 | 14 | | 34 | 1 | | 35 | 1 | | 36 | 5 | | 37 | 3 | | 38 | 16 | | 39 | 5 | | 40 | 3 | | 41 | 27 | | 42 | 12 | | 43 | 20 | | 44 | 4 | | 45 | 11 | | 46 | 16 | | 47 | 21 | | 48 | 10 | | 49 | 24 |
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| 29.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.27722772277227725 | | totalSentences | 101 | | uniqueOpeners | 28 | |
| 38.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 87 | | matches | | | ratio | 0.011 | |
| 68.28% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 87 | | matches | | 0 | "It was the first wrong" | | 1 | "They marked the boundary, the" | | 2 | "It was warm." | | 3 | "It had led her here" | | 4 | "Her hand, moving with a" | | 5 | "She scanned the treeline, the" | | 6 | "She was alone." | | 7 | "She had to be." | | 8 | "She took a careful step" | | 9 | "It wasn't the sound of" | | 10 | "It was too precise, too" | | 11 | "She held her breath, listening." | | 12 | "It was a listening silence." | | 13 | "It wanted her here." | | 14 | "She took another step, her" | | 15 | "Her gaze swept the perimeter" | | 16 | "It wasn't the shape of" | | 17 | "It was a patch of" | | 18 | "Her heart gave a single," | | 19 | "She forced herself to keep" |
| | ratio | 0.379 | |
| 28.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 87 | | matches | | 0 | "The last of the thorny" | | 1 | "The air changed instantly, the" | | 2 | "It was the first wrong" | | 3 | "The Fae Grove was never" | | 4 | "The perpetual twilight of the" | | 5 | "Flowers that had no business" | | 6 | "They marked the boundary, the" | | 7 | "Rory’s hand went to her" | | 8 | "It was warm." | | 9 | "The deep crimson gem, usually" | | 10 | "It had led her here" | | 11 | "A prickle traced a path" | | 12 | "Her hand, moving with a" | | 13 | "She scanned the treeline, the" | | 14 | "She was alone." | | 15 | "She had to be." | | 16 | "The ground beneath her trainers" | | 17 | "She took a careful step" | | 18 | "The air felt heavy, thick" | | 19 | "A faint, metallic tang, like" |
| | ratio | 0.862 | |
| 57.47% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 87 | | matches | | | ratio | 0.011 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 6 | | matches | | 0 | "The perpetual twilight of the grove settled around her, a soft, violet-tinged gloom that clung to the impossible blooms of the wildflowers carpeting the clearin…" | | 1 | "Flowers that had no business blooming together—snowdrops and bluebells, poppies and foxgloves—all pulsed with a faint, internal luminescence." | | 2 | "She took a careful step towards the nearest standing stone, a colossal monolith that looked like a petrified, twisted spine." | | 3 | "Rory’s cool-headed intelligence, the thing that had seen her through a hundred tight spots in London and a hundred more before that, screamed at her to leave." | | 4 | "The violet gloom seemed to deepen, the luminescent flowers dimming as if a cloud had passed over a non-existent moon." | | 5 | "The feeling of being watched was no longer a paranoid twitch; it was a palpable force, a gaze that bored into her back." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |