| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1244 | | 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) | |
| 35.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1244 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "throb" | | 1 | "silence" | | 2 | "weight" | | 3 | "pulsed" | | 4 | "chill" | | 5 | "resolved" | | 6 | "flicker" | | 7 | "flickered" | | 8 | "pulse" | | 9 | "etched" | | 10 | "stark" | | 11 | "beacon" |
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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 | 129 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 129 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 11 | | totalWords | 1266 | | ratio | 0.009 | | matches | | 0 | "meet me at the grove, bring the pendant, don't tell anyone" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1253 | | uniqueNames | 13 | | maxNameDensity | 0.72 | | worstName | "Eva" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Petersham | 1 | | Gate | 1 | | Richmond | 1 | | Park | 2 | | Eva | 9 | | September | 2 | | Cardiff | 1 | | Bute | 1 | | Fae | 1 | | Grove | 1 | | Rory | 9 | | Golden | 1 | | Empress | 1 |
| | persons | | | places | | 0 | "Petersham" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "September" | | 4 | "Cardiff" | | 5 | "Bute" | | 6 | "Fae" | | 7 | "Grove" | | 8 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | glossingSentenceCount | 1 | | matches | | 0 | "something between a sigh and a cough — came fro" |
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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 | 1266 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 129 | | matches | | |
| 99.68% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 57.55 | | std | 28.71 | | cv | 0.499 | | sampleLengths | | 0 | 75 | | 1 | 1 | | 2 | 122 | | 3 | 80 | | 4 | 61 | | 5 | 39 | | 6 | 98 | | 7 | 71 | | 8 | 68 | | 9 | 80 | | 10 | 86 | | 11 | 40 | | 12 | 39 | | 13 | 72 | | 14 | 39 | | 15 | 57 | | 16 | 64 | | 17 | 60 | | 18 | 16 | | 19 | 56 | | 20 | 40 | | 21 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 208 | | matches | | 0 | "was visiting" | | 1 | "was being" | | 2 | "was sweating" | | 3 | "was crossing" | | 4 | "was cloying" | | 5 | "was glowing " | | 6 | "were not swaying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 21 | | semicolonCount | 3 | | flaggedSentences | 21 | | totalSentences | 129 | | ratio | 0.163 | | matches | | 0 | "The pendant beneath her shirt was warm — warmer than body heat should account for." | | 1 | "That Eva's text — *meet me at the grove, bring the pendant, don't tell anyone* — was just Eva being Eva, dramatic and cryptic as always." | | 2 | "The park sat wrong — too quiet, even for night." | | 3 | "She pulled out her phone — torch on, screen at 14% battery." | | 4 | "She pressed a palm to her sternum; the silver chain was cold against her fingers but the gem was furnace-hot." | | 5 | "A sound — something between a sigh and a cough — came from the trees to her left." | | 6 | "She'd grown up in Cardiff, walked home through Bute Park at all hours, knew woods at night — they rustled, they creaked, they breathed with small animal life." | | 7 | "Her torch swept the grass ahead, and shadows skittered at the edge of her vision — something sloping away behind a holly bush, a shape that resolved into a branch when she looked directly." | | 8 | "One moment she was crossing open grassland; the next she'd crested a rise and there they were — five oaken monoliths, dark and rough-barked, arranged in a loose circle." | | 9 | "The air changed — thicker, sweeter." | | 10 | "Beneath her shirt, it was glowing — she saw the crimson light bleeding through the fabric of her jacket, a dull ember pulse." | | 11 | "Toward something dark lying in the grass there — a shape, a shadow that didn't belong among the blooms." | | 12 | "The shoe was alone — no sock, no foot." | | 13 | "Rory gasped, dropped it; it swung on its chain, knocking against her collar bone." | | 14 | "The light flared again, a pulse that threw the grove into stark relief — and in that flash she saw them." | | 15 | "Tall, thin, wrong-proportioned — arms too long, heads tilted at angles necks shouldn't manage." | | 16 | "She lifted it, aimed it toward the treeline — nothing." | | 17 | "Her torch — she fumbled her phone,thumb jammed the button." | | 18 | "Just the oak and holly and the wildflowers swaying — wait." | | 19 | "The pendant in her hand pulsed once — warm, not hot." | | 20 | "The circle had shrunk — the gap she'd entered through was now a narrow slit of darkness between two trunks of ancient oak." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 106 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 3 | | adverbRatio | 0.02830188679245283 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 9.81 | | std | 7.7 | | cv | 0.785 | | sampleLengths | | 0 | 23 | | 1 | 10 | | 2 | 20 | | 3 | 22 | | 4 | 7 | | 5 | 15 | | 6 | 22 | | 7 | 12 | | 8 | 7 | | 9 | 26 | | 10 | 9 | | 11 | 24 | | 12 | 4 | | 13 | 4 | | 14 | 18 | | 15 | 17 | | 16 | 4 | | 17 | 3 | | 18 | 10 | | 19 | 20 | | 20 | 11 | | 21 | 9 | | 22 | 4 | | 23 | 12 | | 24 | 25 | | 25 | 4 | | 26 | 1 | | 27 | 20 | | 28 | 8 | | 29 | 6 | | 30 | 18 | | 31 | 2 | | 32 | 3 | | 33 | 4 | | 34 | 10 | | 35 | 2 | | 36 | 8 | | 37 | 3 | | 38 | 4 | | 39 | 28 | | 40 | 16 | | 41 | 3 | | 42 | 2 | | 43 | 34 | | 44 | 14 | | 45 | 11 | | 46 | 4 | | 47 | 3 | | 48 | 6 | | 49 | 29 |
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| 39.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.29457364341085274 | | totalSentences | 129 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 109 | | matches | | 0 | "Of course it was." | | 1 | "Even the night she'd found" | | 2 | "Just the shoe, and the" | | 3 | "Just the oak and holly" |
| | ratio | 0.037 | |
| 95.23% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 109 | | matches | | 0 | "He just shut the doors" | | 1 | "She'd felt it pulsing since" | | 2 | "It had led her here," | | 3 | "She'd told herself she was" | | 4 | "She landed soft on the" | | 5 | "She followed the path her" | | 6 | "She pulled out her phone" | | 7 | "She pressed a palm to" | | 8 | "Her heart answered it, thumping" | | 9 | "She was sweating despite the" | | 10 | "She'd grown up in Cardiff," | | 11 | "She moved on." | | 12 | "Her torch swept the grass" | | 13 | "She told herself it was" | | 14 | "She'd tied it back." | | 15 | "She knew that." | | 16 | "She knew them from the" | | 17 | "Her torch beam flickered." | | 18 | "She shook the phone, clicked" | | 19 | "She pulled it out." |
| | ratio | 0.312 | |
| 60.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 109 | | matches | | 0 | "The last bus dropped her" | | 1 | "The driver didn't look at" | | 2 | "He just shut the doors" | | 3 | "Rory buttoned her jacket against" | | 4 | "The pendant beneath her shirt" | | 5 | "She'd felt it pulsing since" | | 6 | "It had led her here," | | 7 | "She'd told herself she was" | | 8 | "That Eva's text — *meet" | | 9 | "The gate was locked." | | 10 | "Rory glanced up and down" | | 11 | "She landed soft on the" | | 12 | "The park sat wrong —" | | 13 | "London pressed against its borders,," | | 14 | "She followed the path her" | | 15 | "The tarmac gave way to" | | 16 | "Streetlights thinned and died." | | 17 | "She pulled out her phone" | | 18 | "The beam cut a narrow" | | 19 | "The pendant pulsed harder." |
| | ratio | 0.798 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 109 | | matches | (empty) | | ratio | 0 | |
| 44.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 7 | | matches | | 0 | "The last bus dropped her at Petersham Gate with a wheeze of air brakes anda diesel cough that hung in the cold night." | | 1 | "The beam cut a narrow cone through the dark, catching dew beading on grassandthe glitter of something that might have been frost in early September." | | 2 | "Her torch swept the grass ahead, and shadows skittered at the edge of her vision — something sloping away behind a holly bush, a shape that resolved into a bran…" | | 3 | "Wildflowers bloomed in the clearing inside, impossible in September: foxgloves and harebells, wild roses shedding petals that drifted slow as underwater." | | 4 | "Rory scrambled backward, her heels catching on roots, her hand closing around the pendant again." | | 5 | "But the blooms at the far side of the grove rippled, a slow wave passing through them as if something walked among them, invisible,patient." | | 6 | "A woman's laugh, or something that wore a woman's voice like a borrowed coat." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "She'd, a slow throb against her sternum like a second heartbeat" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |