| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "She spoke evenly [evenly]" |
| | dialogueSentences | 12 | | tagDensity | 0.583 | | leniency | 1 | | rawRatio | 0.143 | | effectiveRatio | 0.143 | |
| 90.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1057 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 76.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1057 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "pulse" | | 1 | "weight" | | 2 | "whisper" | | 3 | "perfect" | | 4 | "pulsed" |
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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 | 105 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 105 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1067 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 11 | | wordCount | 1029 | | uniqueNames | 9 | | maxNameDensity | 0.29 | | worstName | "Seven" | | maxWindowNameDensity | 1 | | worstWindowName | "Seven" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Rory | 1 | | Pen | 1 | | Ponds | 1 | | Kingston | 1 | | April | 1 | | Cardiff | 1 | | Seven | 3 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Pen" | | 3 | "Kingston" | | 4 | "April" | | 5 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1067 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 110 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 26.68 | | std | 22.65 | | cv | 0.849 | | sampleLengths | | 0 | 65 | | 1 | 7 | | 2 | 80 | | 3 | 13 | | 4 | 6 | | 5 | 55 | | 6 | 32 | | 7 | 1 | | 8 | 15 | | 9 | 6 | | 10 | 64 | | 11 | 15 | | 12 | 3 | | 13 | 49 | | 14 | 11 | | 15 | 36 | | 16 | 45 | | 17 | 12 | | 18 | 17 | | 19 | 56 | | 20 | 18 | | 21 | 26 | | 22 | 11 | | 23 | 4 | | 24 | 75 | | 25 | 4 | | 26 | 24 | | 27 | 4 | | 28 | 8 | | 29 | 22 | | 30 | 63 | | 31 | 3 | | 32 | 47 | | 33 | 11 | | 34 | 6 | | 35 | 39 | | 36 | 38 | | 37 | 49 | | 38 | 19 | | 39 | 8 |
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| 91.90% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 105 | | matches | | 0 | "been padlocked" | | 1 | "were gone" | | 2 | "been told" | | 3 | "being called" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 154 | | matches | | 0 | "weren't behaving" | | 1 | "were dubbing" | | 2 | "was working" | | 3 | "was considering" | | 4 | "was still waiting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 110 | | ratio | 0.082 | | matches | | 0 | "Just a pressed wildflower inside the envelope — something she hadn't seen since childhood, something her mother had once called heart's-folly." | | 1 | "Not dim — gone." | | 2 | "Oak, not granite — trunks that had been dead for centuries yet refused to rot, their bark silvered in the thin moonlight." | | 3 | "A blackbird — the clean, liquid run they make at dusk." | | 4 | "Not a figure — a shift in the way the moonlight sat on the bark." | | 5 | "The far edge of the ring — the oaks there looked wrong, though she couldn't have said how." | | 6 | "The crimson light bled through the weave of her shirt and threw her shadow forward onto the grass, and the shadow had the shape she expected — her own, arms at her sides, hair loose." | | 7 | "She had the keen, animal sense that it was considering her — the way a cat considers a bird through glass, without urgency, because the glass is only a formality." | | 8 | "The pendant pulsed once, hard, against her sternum, and across the clearing — between the first and second stones, where no gap had been a moment before — a narrow path opened in the oaks." |
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| 98.15% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1021 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 43 | | adverbRatio | 0.04211557296767875 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004897159647404506 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 9.7 | | std | 8.57 | | cv | 0.884 | | sampleLengths | | 0 | 26 | | 1 | 11 | | 2 | 3 | | 3 | 2 | | 4 | 2 | | 5 | 21 | | 6 | 5 | | 7 | 2 | | 8 | 8 | | 9 | 1 | | 10 | 1 | | 11 | 18 | | 12 | 34 | | 13 | 8 | | 14 | 6 | | 15 | 4 | | 16 | 13 | | 17 | 4 | | 18 | 2 | | 19 | 15 | | 20 | 22 | | 21 | 7 | | 22 | 2 | | 23 | 1 | | 24 | 1 | | 25 | 7 | | 26 | 7 | | 27 | 17 | | 28 | 2 | | 29 | 6 | | 30 | 1 | | 31 | 15 | | 32 | 6 | | 33 | 2 | | 34 | 7 | | 35 | 10 | | 36 | 12 | | 37 | 33 | | 38 | 4 | | 39 | 11 | | 40 | 3 | | 41 | 4 | | 42 | 9 | | 43 | 36 | | 44 | 11 | | 45 | 6 | | 46 | 15 | | 47 | 5 | | 48 | 7 | | 49 | 3 |
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| 58.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.4090909090909091 | | totalSentences | 110 | | uniqueOpeners | 45 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 84 | | matches | | 0 | "Just a pressed wildflower inside" | | 1 | "At least something still obeyed" | | 2 | "Then a bird called." | | 3 | "Then a second one, further" | | 4 | "Then a third, at a" | | 5 | "Just a taller darkness, a" | | 6 | "Somewhere in the trees, very" |
| | ratio | 0.083 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 84 | | matches | | 0 | "She didn't believe in coincidences." | | 1 | "She'd been to the park" | | 2 | "She stopped once and turned" | | 3 | "She pressed on until the" | | 4 | "Her voice went flat, as" | | 5 | "She clicked the torch off" | | 6 | "She shifted her weight." | | 7 | "It had the muted give" | | 8 | "she said to the trees" | | 9 | "She kept her eyes on" | | 10 | "It didn't return." | | 11 | "she said, and hated how" | | 12 | "She turned slowly." | | 13 | "She was sure of it" | | 14 | "It was hot now." | | 15 | "She spoke evenly, because that" | | 16 | "She took a step backwards" | | 17 | "She didn't panic." | | 18 | "She breathed out through her" | | 19 | "She'd come in between the" |
| | ratio | 0.333 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 84 | | matches | | 0 | "The gates of Richmond Park" | | 1 | "The letter in her pocket" | | 2 | "She didn't believe in coincidences." | | 3 | "The air tasted different past" | | 4 | "She'd been to the park" | | 5 | "She stopped once and turned" | | 6 | "The lights of Kingston were" | | 7 | "The pendant at her throat" | | 8 | "She pressed on until the" | | 9 | "Oak, not granite — trunks" | | 10 | "Foxglove, yarrow, things she didn't" | | 11 | "Her voice went flat, as" | | 12 | "The pendant warmed another degree," | | 13 | "She clicked the torch off" | | 14 | "Moonlight picked out the grass" | | 15 | "A blackbird — the clean," | | 16 | "She shifted her weight." | | 17 | "The grass didn't whisper back" | | 18 | "It had the muted give" | | 19 | "she said to the trees" |
| | ratio | 0.679 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 2 | | matches | | 0 | "Oak, not granite — trunks that had been dead for centuries yet refused to rot, their bark silvered in the thin moonlight." | | 1 | "It had the muted give of carpet over floorboards, and when she took a step, the sound of her boot arrived a half-second late, as though the grove were dubbing h…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "She spoke evenly (speak)" |
| | dialogueSentences | 12 | | tagDensity | 0.583 | | leniency | 1 | | rawRatio | 0.286 | | effectiveRatio | 0.286 | |