| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.269 | | leniency | 0.538 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1327 | | totalAiIsmAdverbs | 3 | | 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) | |
| 73.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1327 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulse" | | 2 | "stomach" | | 3 | "comfortable" | | 4 | "throb" |
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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 | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 89 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | 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 | 6 | | markdownWords | 6 | | totalWords | 1341 | | ratio | 0.004 | | matches | | 0 | "like" | | 1 | "rings" | | 2 | "hover" | | 3 | "tracked" | | 4 | "Deliveroo" | | 5 | "Hel" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.17% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1032 | | uniqueNames | 9 | | maxNameDensity | 1.36 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | December | 1 | | Richmond | 1 | | Park | 1 | | Aurora | 14 | | August | 1 | | Heathrow | 2 | | Eva | 11 | | Heartstone | 1 | | Nyx | 5 |
| | persons | | 0 | "Aurora" | | 1 | "Eva" | | 2 | "Heartstone" | | 3 | "Nyx" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "August" | | 3 | "Heathrow" |
| | globalScore | 0.822 | | windowScore | 0.833 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a photograph propped against" | | 1 | "looked like a clearing you could cross in" |
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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 | 1341 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 22.35 | | std | 22.01 | | cv | 0.985 | | sampleLengths | | 0 | 9 | | 1 | 60 | | 2 | 24 | | 3 | 22 | | 4 | 3 | | 5 | 71 | | 6 | 14 | | 7 | 1 | | 8 | 73 | | 9 | 67 | | 10 | 5 | | 11 | 57 | | 12 | 11 | | 13 | 1 | | 14 | 6 | | 15 | 37 | | 16 | 6 | | 17 | 57 | | 18 | 16 | | 19 | 2 | | 20 | 14 | | 21 | 44 | | 22 | 6 | | 23 | 22 | | 24 | 5 | | 25 | 12 | | 26 | 65 | | 27 | 7 | | 28 | 57 | | 29 | 3 | | 30 | 3 | | 31 | 3 | | 32 | 58 | | 33 | 11 | | 34 | 4 | | 35 | 2 | | 36 | 42 | | 37 | 3 | | 38 | 4 | | 39 | 52 | | 40 | 12 | | 41 | 15 | | 42 | 4 | | 43 | 8 | | 44 | 35 | | 45 | 43 | | 46 | 1 | | 47 | 3 | | 48 | 3 | | 49 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 149 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 1 | | flaggedSentences | 12 | | totalSentences | 125 | | ratio | 0.096 | | matches | | 0 | "Aurora felt it through her boots first — the crunch of December grass turning to something soft and giving, like walking onto a mattress." | | 1 | "Not summer warmth — no sun for it, the sky above the clearing was the deep bruised violet of nine at night in August — but the air held heat the way stone holds it, radiating up from the ground." | | 2 | "The gap between the two nearest standing stones showed a strip of the park — frozen bracken, the grey glimmer of a puddle, the far-off orange smear of the A308." | | 3 | "In here their edges held better; Aurora could see the shape of shoulders, the long line of a coat that wasn't cloth." | | 4 | "Something moved in the flowers — a low continuous seething, thousands of small stems shifting against each other, rising and falling in long swells like breath." | | 5 | "Blood-warm, twenty-two, twenty-three degrees, and under her hand a pulse she felt in the bones of her wrist rather than her skin — slow, a beat every four or five seconds, too deep and too patient to be anything with a heart she'd recognise." | | 6 | "Her watch — the cheap one with the second hand that ticked loud enough to annoy people on buses — had its second hand travelling backwards in a smooth glide, no ticks, gaining a full rotation while they watched." | | 7 | "Aurora hadn't expected deeper — from outside, the grove had looked like a clearing you could cross in twenty seconds." | | 8 | "\"By counting.\" She held up her hand — she'd been tapping her thumb against her forefinger since the boundary, steady, a habit from long drives." | | 9 | "Grown — the knots and lenticels had arranged themselves into eyes and open mouths, and as Aurora passed the nearest one, its bark eye *tracked* her, a slow sliding of pale wood, and closed." | | 10 | "Eva laughed — one high, cracked note — and pressed her knuckles to her mouth." | | 11 | "The Heartstone sat in her palm, and the crimson at its centre had woken — a slow throb of light, and warmth like a mug of tea through a jumper, building." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1025 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 29 | | adverbRatio | 0.02829268292682927 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.000975609756097561 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 10.73 | | std | 10.96 | | cv | 1.022 | | sampleLengths | | 0 | 9 | | 1 | 24 | | 2 | 11 | | 3 | 14 | | 4 | 6 | | 5 | 5 | | 6 | 7 | | 7 | 12 | | 8 | 5 | | 9 | 12 | | 10 | 10 | | 11 | 3 | | 12 | 19 | | 13 | 3 | | 14 | 40 | | 15 | 4 | | 16 | 5 | | 17 | 3 | | 18 | 9 | | 19 | 2 | | 20 | 1 | | 21 | 28 | | 22 | 3 | | 23 | 42 | | 24 | 3 | | 25 | 30 | | 26 | 9 | | 27 | 4 | | 28 | 5 | | 29 | 2 | | 30 | 14 | | 31 | 5 | | 32 | 20 | | 33 | 22 | | 34 | 6 | | 35 | 9 | | 36 | 8 | | 37 | 3 | | 38 | 1 | | 39 | 6 | | 40 | 2 | | 41 | 26 | | 42 | 4 | | 43 | 2 | | 44 | 3 | | 45 | 3 | | 46 | 3 | | 47 | 10 | | 48 | 1 | | 49 | 2 |
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| 74.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.49193548387096775 | | totalSentences | 124 | | uniqueOpeners | 61 | |
| 45.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 73 | | matches | | | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 73 | | matches | | 0 | "She stopped with one foot" | | 1 | "Their voice came from everywhere" | | 2 | "She unzipped her jacket." | | 3 | "She came through, and her" | | 4 | "Their bark spiralled." | | 5 | "It looked like a photograph" | | 6 | "She could see it." | | 7 | "She could not hear it." | | 8 | "She lifted a finger" | | 9 | "She didn't mention it." | | 10 | "She stood, wiped her hand" | | 11 | "She turned the screen towards" | | 12 | "Her watch — the cheap" | | 13 | "They went deeper." | | 14 | "It kept unfolding." | | 15 | "They ran round the whole" | | 16 | "She held up her hand" | | 17 | "It ran uphill." |
| | ratio | 0.247 | |
| 42.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 73 | | matches | | 0 | "The frost gave out three" | | 1 | "Aurora felt it through her" | | 2 | "She stopped with one foot" | | 3 | "Their voice came from everywhere" | | 4 | "Eva's teeth were still chattering" | | 5 | "Aurora stepped through." | | 6 | "The cold peeled off her" | | 7 | "Warmth pressed in." | | 8 | "She unzipped her jacket." | | 9 | "Sweat sprang along her spine." | | 10 | "She came through, and her" | | 11 | "The grove ran maybe forty" | | 12 | "Their bark spiralled." | | 13 | "Wildflowers grew in bands of" | | 14 | "Aurora looked back." | | 15 | "The gap between the two" | | 16 | "It looked like a photograph" | | 17 | "She could see it." | | 18 | "She could not hear it." | | 19 | "The shadow slid across the" |
| | ratio | 0.836 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 4 | | matches | | 0 | "Wildflowers grew in bands of colour, foxglove and cornflower and something with petals like wet paper that Aurora had no name for, and they grew in *rings*, con…" | | 1 | "Her watch — the cheap one with the second hand that ticked loud enough to annoy people on buses — had its second hand travelling backwards in a smooth glide, no…" | | 2 | "The oaks that had ringed the boundary stood behind them and also, somehow, ahead of them, and between them ran a path of flat pale stones set into the moss, eac…" | | 3 | "The path bent round a stand of birches with silver-white bark that carried faces in it." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.115 | | leniency | 0.231 | | rawRatio | 0 | | effectiveRatio | 0 | |