| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1233 | | 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) | |
| 75.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1233 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "echo" | | 1 | "echoes" | | 2 | "footfall" | | 3 | "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 | 1 | | narrationSentences | 95 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 95 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1248 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 1187 | | uniqueNames | 7 | | maxNameDensity | 0.93 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Sheen | 1 | | Cross | 1 | | October | 1 | | Rory | 11 | | Richmond | 1 | | February | 1 | | Six | 1 |
| | persons | | | places | | 0 | "Sheen" | | 1 | "Richmond" | | 2 | "February" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | 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 | 1248 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 101 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 28.36 | | std | 25.5 | | cv | 0.899 | | sampleLengths | | 0 | 16 | | 1 | 66 | | 2 | 23 | | 3 | 11 | | 4 | 52 | | 5 | 3 | | 6 | 60 | | 7 | 45 | | 8 | 8 | | 9 | 58 | | 10 | 2 | | 11 | 15 | | 12 | 76 | | 13 | 7 | | 14 | 38 | | 15 | 75 | | 16 | 8 | | 17 | 50 | | 18 | 7 | | 19 | 75 | | 20 | 9 | | 21 | 3 | | 22 | 9 | | 23 | 44 | | 24 | 3 | | 25 | 73 | | 26 | 9 | | 27 | 39 | | 28 | 29 | | 29 | 3 | | 30 | 58 | | 31 | 13 | | 32 | 53 | | 33 | 15 | | 34 | 24 | | 35 | 7 | | 36 | 76 | | 37 | 6 | | 38 | 14 | | 39 | 1 | | 40 | 1 | | 41 | 49 | | 42 | 10 | | 43 | 5 |
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| 90.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 95 | | matches | | 0 | "been chained" | | 1 | "was supposed" | | 2 | "been dragged" | | 3 | "been broken" |
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| 91.30% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 184 | | matches | | 0 | "was matching" | | 1 | "were pointing" | | 2 | "was standing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 101 | | ratio | 0.099 | | matches | | 0 | "Her boots hit the ground on the park side and the sound came back wrong — flat, close, like she'd dropped a book in a carpeted room instead of landing in eight hundred hectares of open grassland." | | 1 | "The moon was up — a good moon, three-quarters and clean — and it laid her shadow out in front of her, long and thin and precise." | | 2 | "Echoes came back off something — a wall, a bandstand, the flank of a building." | | 3 | "One extra footfall — soft, apologetic — and then nothing." | | 4 | "They were oak — six of them, each one taller than Rory, grey-silver and split with age, planted upright in a ring with their bark long gone and their grain running in slow spirals like something poured rather than grown." | | 5 | "They always were — cornflowers, ragged robin, a stand of foxgloves at the far edge with their bells open in February — and normally the sight of them made her chest go loose with relief, the way finding your own street does after a long journey." | | 6 | "Inside, the sound came on all at once, the way it does when you take a hood off — insects, a churr of something in the hawthorn, water moving somewhere it had no business moving, because there was no stream here, there had never been a stream here." | | 7 | "Paused — held — the exact pause of something listening to check it had heard right." | | 8 | "She slid her eyes across instead and there was nothing, just the bowed stalks, and the moment her eyes settled the thing on her right moved instead — a shift, a settling, a suggestion of a shoulder-height mass changing its mind about coming closer." | | 9 | "Five —" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1179 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.033927056827820185 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005089058524173028 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 12.36 | | std | 13.27 | | cv | 1.074 | | sampleLengths | | 0 | 16 | | 1 | 37 | | 2 | 29 | | 3 | 1 | | 4 | 22 | | 5 | 8 | | 6 | 3 | | 7 | 9 | | 8 | 43 | | 9 | 3 | | 10 | 19 | | 11 | 27 | | 12 | 6 | | 13 | 8 | | 14 | 5 | | 15 | 40 | | 16 | 8 | | 17 | 3 | | 18 | 15 | | 19 | 16 | | 20 | 8 | | 21 | 16 | | 22 | 2 | | 23 | 5 | | 24 | 10 | | 25 | 9 | | 26 | 4 | | 27 | 8 | | 28 | 10 | | 29 | 2 | | 30 | 43 | | 31 | 3 | | 32 | 4 | | 33 | 3 | | 34 | 35 | | 35 | 4 | | 36 | 2 | | 37 | 40 | | 38 | 12 | | 39 | 17 | | 40 | 8 | | 41 | 4 | | 42 | 46 | | 43 | 7 | | 44 | 2 | | 45 | 1 | | 46 | 36 | | 47 | 13 | | 48 | 2 | | 49 | 21 |
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| 72.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.48514851485148514 | | totalSentences | 101 | | uniqueOpeners | 49 | |
| 91.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 73 | | matches | | 0 | "Too big and too unhurried" | | 1 | "Then, at the edge of" |
| | ratio | 0.027 | |
| 88.49% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 73 | | matches | | 0 | "Her boots hit the ground" | | 1 | "She crouched there a moment" | | 2 | "she said, mostly to hear" | | 3 | "She pulled the pendant out" | | 4 | "She kept her eyes on" | | 5 | "It came under hers, a" | | 6 | "She turned all the way" | | 7 | "She kept walking." | | 8 | "She didn't count her steps" | | 9 | "They were oak — six" | | 10 | "They always were — cornflowers," | | 11 | "It was warm." | | 12 | "It was the warmth of" | | 13 | "She took her hand away" | | 14 | "She stepped through." | | 15 | "Her voice cracked on the" | | 16 | "She cleared her throat and" | | 17 | "She didn't turn her head." | | 18 | "She'd learned that much." | | 19 | "She slid her eyes across" |
| | ratio | 0.329 | |
| 96.99% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 73 | | matches | | 0 | "The gate at Sheen Cross" | | 1 | "Her boots hit the ground" | | 2 | "She crouched there a moment" | | 3 | "she said, mostly to hear" | | 4 | "She pulled the pendant out" | | 5 | "The crimson stone sat cold" | | 6 | "Nothing there either." | | 7 | "Rory tucked it away and" | | 8 | "The moon was up —" | | 9 | "She kept her eyes on" | | 10 | "Frost had come down hard." | | 11 | "Every step broke it with" | | 12 | "That was when she heard" | | 13 | "Echoes came back off something" | | 14 | "It came under hers, a" | | 15 | "The sound stopped with her." | | 16 | "She turned all the way" | | 17 | "Grassland, silver and grey." | | 18 | "The wall she'd climbed, a" | | 19 | "A stand of bracken, dead" |
| | ratio | 0.726 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 2 | | matches | | 0 | "That was the thing that started the cold going up her back properly, because Richmond had six hundred deer in it and she'd never once walked here without seeing…" | | 1 | "It hadn't moved and it was closer, and she was aware of it the way you're aware of a person standing behind your chair reading over your shoulder, that pressure…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0 | | effectiveRatio | 0 | |