| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1094 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 31.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1094 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "pulse" | | 1 | "familiar" | | 2 | "crystalline" | | 3 | "stark" | | 4 | "flicker" | | 5 | "silence" | | 6 | "pulsed" | | 7 | "whisper" | | 8 | "could feel" | | 9 | "weight" | | 10 | "warmth" |
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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 | 106 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 106 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 9 | | totalWords | 1104 | | ratio | 0.008 | | matches | | 0 | "It's not real. It's not real. It's not —" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 1104 | | uniqueNames | 7 | | maxNameDensity | 0.36 | | worstName | "Grove" | | maxWindowNameDensity | 1 | | worstWindowName | "Grove" | | discoveredNames | | Fae | 2 | | Grove | 4 | | Richmond | 1 | | Park | 1 | | London | 1 | | Soho | 1 | | Rory | 3 |
| | persons | | | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Richmond" | | 3 | "Park" | | 4 | "London" | | 5 | "Soho" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a dead end until you pushed t" |
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| 18.84% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.812 | | wordCount | 1104 | | matches | | 0 | "not with dew but something thicker, tacky" | | 1 | "Not the quiet of night, but the silence of a held breath" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 22.53 | | std | 21.2 | | cv | 0.941 | | sampleLengths | | 0 | 10 | | 1 | 63 | | 2 | 5 | | 3 | 70 | | 4 | 5 | | 5 | 35 | | 6 | 33 | | 7 | 4 | | 8 | 69 | | 9 | 25 | | 10 | 29 | | 11 | 7 | | 12 | 3 | | 13 | 53 | | 14 | 19 | | 15 | 8 | | 16 | 50 | | 17 | 6 | | 18 | 46 | | 19 | 4 | | 20 | 53 | | 21 | 4 | | 22 | 40 | | 23 | 3 | | 24 | 4 | | 25 | 48 | | 26 | 34 | | 27 | 25 | | 28 | 5 | | 29 | 3 | | 30 | 3 | | 31 | 11 | | 32 | 32 | | 33 | 1 | | 34 | 40 | | 35 | 3 | | 36 | 3 | | 37 | 53 | | 38 | 4 | | 39 | 3 | | 40 | 26 | | 41 | 51 | | 42 | 5 | | 43 | 9 | | 44 | 9 | | 45 | 56 | | 46 | 3 | | 47 | 23 | | 48 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 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 | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 106 | | ratio | 0.094 | | matches | | 0 | "Rory knew the turnoff — a gap between two rhododendron bushes that looked like a dead end until you pushed through the branches." | | 1 | "The leaves were wet — not with dew but something thicker, tacky." | | 2 | "The standing stones rose in their familiar circle — seven oaks twisted into rough pillars, their bark grey and smooth as river stones." | | 3 | "Not the soft give of living turf — the brittle snap of frost." | | 4 | "But she had seen something — a flicker of movement, pale and quick, too fast for her eyes to track." | | 5 | "She felt it through the sole — the snap of individual blades, each one a small sharp death." | | 6 | "The heat from the pendant surged, and the stone pulsed in response — a ripple of blackness across its surface, like oil sliding over water." | | 7 | "The words meant nothing — a language she didn't know, sounds that belonged to a mouth with too many teeth —" | | 8 | "It's not —*" | | 9 | "Close enough that she could see the shape within it — a figure, trapped in the stone, its features blurred by the darkness that surrounded it." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1095 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 20 | | adverbRatio | 0.0182648401826484 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0018264840182648401 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 10.42 | | std | 6.46 | | cv | 0.62 | | sampleLengths | | 0 | 10 | | 1 | 23 | | 2 | 20 | | 3 | 20 | | 4 | 5 | | 5 | 21 | | 6 | 15 | | 7 | 7 | | 8 | 5 | | 9 | 17 | | 10 | 5 | | 11 | 5 | | 12 | 5 | | 13 | 12 | | 14 | 10 | | 15 | 8 | | 16 | 8 | | 17 | 11 | | 18 | 14 | | 19 | 4 | | 20 | 16 | | 21 | 23 | | 22 | 13 | | 23 | 17 | | 24 | 4 | | 25 | 4 | | 26 | 3 | | 27 | 14 | | 28 | 7 | | 29 | 14 | | 30 | 8 | | 31 | 7 | | 32 | 3 | | 33 | 13 | | 34 | 24 | | 35 | 16 | | 36 | 10 | | 37 | 9 | | 38 | 8 | | 39 | 7 | | 40 | 14 | | 41 | 4 | | 42 | 5 | | 43 | 20 | | 44 | 6 | | 45 | 4 | | 46 | 12 | | 47 | 5 | | 48 | 6 | | 49 | 19 |
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| 30.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.2358490566037736 | | totalSentences | 106 | | uniqueOpeners | 25 | |
| 31.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 105 | | matches | | 0 | "Then she counted again." |
| | ratio | 0.01 | |
| 79.05% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 105 | | matches | | 0 | "She had walked this path" | | 1 | "She'd come here as a" | | 2 | "She'd never come at night." | | 3 | "He hadn't looked at her." | | 4 | "She pushed through the rhododendrons." | | 5 | "She wiped her face and" | | 6 | "She stepped over them, ducked" | | 7 | "She counted seven stones." | | 8 | "She pressed her palm to" | | 9 | "She took a step into" | | 10 | "She looked down and her" | | 11 | "She snapped her head to" | | 12 | "She held her breath and" | | 13 | "She took another step." | | 14 | "She felt it through the" | | 15 | "She'd seen it glow before," | | 16 | "She looked up." | | 17 | "It hung in the same" | | 18 | "Her silhouette stretched east while" | | 19 | "She turned, following the direction" |
| | ratio | 0.352 | |
| 45.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 105 | | matches | | 0 | "She had walked this path" | | 1 | "Rory knew the turnoff —" | | 2 | "The deer track beyond wound" | | 3 | "She'd come here as a" | | 4 | "She'd never come at night." | | 5 | "The pendant lay warm against" | | 6 | "The moon hung low and" | | 7 | "Streetlamps petered out a quarter" | | 8 | "The last bench sat empty." | | 9 | "The last jogger had passed" | | 10 | "He hadn't looked at her." | | 11 | "She pushed through the rhododendrons." | | 12 | "The branches scraped her cheeks." | | 13 | "The leaves were wet —" | | 14 | "She wiped her face and" | | 15 | "The sensation lingered, like the" | | 16 | "The deer track was narrower" | | 17 | "Brambles had grown across it," | | 18 | "She stepped over them, ducked" | | 19 | "The Grove was wrong." |
| | ratio | 0.829 | |
| 47.62% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 105 | | matches | | 0 | "Now her breath fogged in" |
| | ratio | 0.01 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 4 | | matches | | 0 | "The pendant lay warm against her sternum, a steady pulse of heat that had grown insistent as she crossed Richmond Park." | | 1 | "At night they looked black, except for the ones that caught the moonlight and glowed phosphorescent green." | | 2 | "She looked down and her boots stood on grass that was grey and crystalline, each blade coated in rime that glittered in the moonlight." | | 3 | "She turned, following the direction of the moonlight, and found herself facing a gap between two stones that didn't exist before." |
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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 | |