| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1084 | | 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) | |
| 21.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1084 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "wavering" | | 1 | "warmth" | | 2 | "silence" | | 3 | "predator" | | 4 | "weight" | | 5 | "pulse" | | 6 | "throbbed" | | 7 | "whisper" | | 8 | "glint" | | 9 | "footsteps" | | 10 | "chill" |
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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 | 93 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 93 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1100 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 1056 | | uniqueNames | 10 | | maxNameDensity | 0.66 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 3 | | Richmond | 1 | | Park | 1 | | Pen | 1 | | Ponds | 1 | | Sheen | 1 | | Cross | 1 | | Heartstone | 2 | | Aurora | 7 | | October | 1 |
| | persons | | 0 | "Eva" | | 1 | "Ponds" | | 2 | "Cross" | | 3 | "Heartstone" | | 4 | "Aurora" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Sheen" | | 3 | "October" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.909 | | wordCount | 1100 | | matches | | 0 | "not through reasoning but as a fact dropped whole into her chest" |
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| 98.64% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 98 | | matches | | 0 | "understood that the" | | 1 | "learned that much" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 26.83 | | std | 24.96 | | cv | 0.93 | | sampleLengths | | 0 | 36 | | 1 | 64 | | 2 | 13 | | 3 | 11 | | 4 | 51 | | 5 | 8 | | 6 | 52 | | 7 | 7 | | 8 | 1 | | 9 | 49 | | 10 | 1 | | 11 | 12 | | 12 | 7 | | 13 | 84 | | 14 | 14 | | 15 | 8 | | 16 | 42 | | 17 | 18 | | 18 | 21 | | 19 | 2 | | 20 | 44 | | 21 | 6 | | 22 | 6 | | 23 | 61 | | 24 | 44 | | 25 | 8 | | 26 | 3 | | 27 | 21 | | 28 | 82 | | 29 | 4 | | 30 | 51 | | 31 | 33 | | 32 | 3 | | 33 | 86 | | 34 | 3 | | 35 | 3 | | 36 | 41 | | 37 | 7 | | 38 | 55 | | 39 | 19 | | 40 | 19 |
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| 97.72% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 93 | | matches | | 0 | "been locked" | | 1 | "been made" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 157 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 2 | | flaggedSentences | 15 | | totalSentences | 98 | | ratio | 0.153 | | matches | | 0 | "She'd climbed the fence near Sheen Cross, snagging her jacket on the wrought iron, and now the city felt impossibly far away — no traffic hum, no orange wash of streetlights against the clouds." | | 1 | "She found the ring exactly where Eva said it would be — eight ancient trunks set in a rough circle, their bark silvered with lichen, their crowns lost in the dark above." | | 2 | "A wood at night should breathe — owls, foxes, the rustle of small things in the leaf litter, the creak of branches settling." | | 3 | "The temperature changed at once — not warmer, not colder, just other, the air thicker on her tongue, faintly sweet, like the back of her throat had filled with honey." | | 4 | "It had been throwing light twenty feet down the track; now it stopped dead at six, swallowed by a darkness that didn't behave like ordinary dark." | | 5 | "The cold pendant rested over her heart, and she had the sudden, certain sense that it wasn't broken — that it had gone quiet the way a animal goes quiet when a predator walks into the field." | | 6 | "The torch found nothing — only the gap she'd come through, the deer track running off into the trees." | | 7 | "She spun the beam toward it and caught — for less than a heartbeat — a paleness sliding behind one of the oaks." | | 8 | "It rolled over her in a slow wave — the green sweetness of the air curdling into something underneath it, the wet-meat reek of a thing left too long in the dark." | | 9 | "Not words — or words in a shape her mouth couldn't have made — and it came from everywhere at once, from the trunks and the flowers and the black canopy overhead, soft as breath against her ear." | | 10 | "She didn't see it directly; she never saw any of it directly." | | 11 | "She understood that the way you understand a thing in a dream — not through reasoning but as a fact dropped whole into her chest." | | 12 | "The bark was wrong under her palm — warm, and slightly soft, giving like skin." | | 13 | "Whatever shared the grove with her — the pendant had not gone quiet because she was safe." | | 14 | "To look at it directly was to invite it to be seen — to make it real, to give it the right." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 652 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.03374233128834356 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006134969325153374 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 11.22 | | std | 10.19 | | cv | 0.908 | | sampleLengths | | 0 | 30 | | 1 | 6 | | 2 | 13 | | 3 | 8 | | 4 | 34 | | 5 | 9 | | 6 | 7 | | 7 | 6 | | 8 | 6 | | 9 | 5 | | 10 | 14 | | 11 | 9 | | 12 | 11 | | 13 | 17 | | 14 | 4 | | 15 | 4 | | 16 | 32 | | 17 | 6 | | 18 | 9 | | 19 | 2 | | 20 | 3 | | 21 | 7 | | 22 | 1 | | 23 | 4 | | 24 | 23 | | 25 | 22 | | 26 | 1 | | 27 | 4 | | 28 | 8 | | 29 | 7 | | 30 | 30 | | 31 | 4 | | 32 | 26 | | 33 | 6 | | 34 | 18 | | 35 | 8 | | 36 | 6 | | 37 | 8 | | 38 | 2 | | 39 | 3 | | 40 | 37 | | 41 | 6 | | 42 | 1 | | 43 | 11 | | 44 | 2 | | 45 | 19 | | 46 | 2 | | 47 | 13 | | 48 | 23 | | 49 | 1 |
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| 61.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.41836734693877553 | | totalSentences | 98 | | uniqueOpeners | 41 | |
| 86.58% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 77 | | matches | | 0 | "Just black trees and the" | | 1 | "Instead she stared straight ahead" |
| | ratio | 0.026 | |
| 95.32% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 77 | | matches | | 0 | "She'd climbed the fence near" | | 1 | "She'd checked it three times" | | 2 | "She checked it again now," | | 3 | "She found the ring exactly" | | 4 | "Her voice didn't carry." | | 5 | "It dropped at her feet" | | 6 | "She stepped between two of" | | 7 | "It had been throwing light" | | 8 | "She swept it left and" | | 9 | "She spun the beam toward" | | 10 | "Her pulse climbed into her" | | 11 | "It rolled over her in" | | 12 | "She pressed the back of" | | 13 | "She backed toward the gap" | | 14 | "she said, and hated how" | | 15 | "She didn't see it directly;" | | 16 | "It lived in the corner" | | 17 | "It was circling her." | | 18 | "She understood that the way" | | 19 | "She snatched her hand away." |
| | ratio | 0.312 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 77 | | matches | | 0 | "The instructions Eva had scrawled" | | 1 | "Aurora pressed through the bracken" | | 2 | "The park gates had been" | | 3 | "She'd climbed the fence near" | | 4 | "The Heartstone hung cold against" | | 5 | "That was the first thing" | | 6 | "Eva had promised" | | 7 | "She'd checked it three times" | | 8 | "She checked it again now," | | 9 | "The deep red caught the" | | 10 | "The deer track narrowed." | | 11 | "The oaks closed in." | | 12 | "She found the ring exactly" | | 13 | "Wildflowers grew thick around their" | | 14 | "Foxgloves, cornflowers, something pale and" | | 15 | "Aurora stopped at the boundary" | | 16 | "That was wrong too." | | 17 | "A wood at night should" | | 18 | "Here the silence had a" | | 19 | "Her voice didn't carry." |
| | ratio | 0.857 | |
| 64.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 77 | | matches | | 0 | "To look at it directly" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 2 | | matches | | 0 | "It had been throwing light twenty feet down the track; now it stopped dead at six, swallowed by a darkness that didn't behave like ordinary dark." | | 1 | "It lived in the corner of her eye, in the half-second after the torch had passed, a long pale limb folding back behind a trunk, a glint that might have been an …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she lied (lie)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 10 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.5 | | effectiveRatio | 0.4 | |