| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 645 | | 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) | |
| 100.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 645 | | totalAiIsms | 0 | | found | (empty) | | highlights | (empty) | |
| 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 | 48 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 48 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 48 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 648 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 648 | | uniqueNames | 9 | | maxNameDensity | 0.62 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Roehampton | 1 | | Richmond | 2 | | Park | 2 | | Yu-Fei | 1 | | Clapham | 1 | | Rory | 4 | | London | 1 | | Heathrow | 1 | | Eva | 3 |
| | persons | | | places | | 0 | "Roehampton" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 74.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 33 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like a city pretending to be a fie" |
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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 | 648 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 48 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 15 | | mean | 43.2 | | std | 23.28 | | cv | 0.539 | | sampleLengths | | 0 | 65 | | 1 | 30 | | 2 | 32 | | 3 | 53 | | 4 | 29 | | 5 | 41 | | 6 | 58 | | 7 | 7 | | 8 | 58 | | 9 | 22 | | 10 | 65 | | 11 | 33 | | 12 | 8 | | 13 | 98 | | 14 | 49 |
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| 97.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 48 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 95 | | matches | (empty) | |
| 23.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 48 | | ratio | 0.042 | | matches | | 0 | "Her boots made a sound she liked — crunch, crunch, an anchor — and she fixed her eyes on the pale strip of trail and counted gates." | | 1 | "On her left, thirty feet off the path, something moved at the top of a hawthorn bush — a black shrug of motion, gone as soon as her eye went to it, the way a deer's ear goes, the way a coat on a hook is only a coat." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 646 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.02786377708978328 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006191950464396285 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 48 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 48 | | mean | 13.5 | | std | 13.63 | | cv | 1.009 | | sampleLengths | | 0 | 16 | | 1 | 9 | | 2 | 40 | | 3 | 2 | | 4 | 7 | | 5 | 21 | | 6 | 11 | | 7 | 21 | | 8 | 7 | | 9 | 46 | | 10 | 10 | | 11 | 6 | | 12 | 4 | | 13 | 6 | | 14 | 3 | | 15 | 4 | | 16 | 37 | | 17 | 7 | | 18 | 14 | | 19 | 10 | | 20 | 27 | | 21 | 7 | | 22 | 13 | | 23 | 15 | | 24 | 2 | | 25 | 7 | | 26 | 21 | | 27 | 5 | | 28 | 2 | | 29 | 2 | | 30 | 13 | | 31 | 2 | | 32 | 7 | | 33 | 3 | | 34 | 53 | | 35 | 6 | | 36 | 2 | | 37 | 25 | | 38 | 7 | | 39 | 1 | | 40 | 10 | | 41 | 49 | | 42 | 7 | | 43 | 5 | | 44 | 24 | | 45 | 3 | | 46 | 44 | | 47 | 5 |
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| 79.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.48936170212765956 | | totalSentences | 47 | | uniqueOpeners | 23 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 41 | | matches | | 0 | "Just the trees, standing in" | | 1 | "Even a pigeon." |
| | ratio | 0.049 | |
| 93.17% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 41 | | matches | | 0 | "She pulled the gate to" | | 1 | "It had hummed like that" | | 2 | "It's not always where it" | | 3 | "She could see maybe ten" | | 4 | "Her boots made a sound" | | 5 | "She had walked it before," | | 6 | "Her own steps, and the" | | 7 | "She tilted her head back" | | 8 | "She took four steps and" | | 9 | "She watched the bush for" | | 10 | "It did not move again." | | 11 | "It only burned." | | 12 | "She stopped at the lip" |
| | ratio | 0.317 | |
| 94.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 30 | | totalSentences | 41 | | matches | | 0 | "The gate at the Roehampton" | | 1 | "Rory put both palms on" | | 2 | "The hinge gave with a" | | 3 | "She pulled the gate to" | | 4 | "The pendant sat warm under" | | 5 | "It had hummed like that" | | 6 | "Eva's text sat unread at" | | 7 | "Grove is a pocket." | | 8 | "It's not always where it" | | 9 | "Rory had gone alone." | | 10 | "Eva worked nights and Rory" | | 11 | "The path past the pond" | | 12 | "She could see maybe ten" | | 13 | "Gravel, a bin, the low" | | 14 | "Her boots made a sound" | | 15 | "The first wrong thing was" | | 16 | "Richmond Park at night sounded" | | 17 | "The wind through a hundred" | | 18 | "She had walked it before," | | 19 | "Her own steps, and the" |
| | ratio | 0.732 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 41 | | matches | | 0 | "Now the sky was empty." |
| | ratio | 0.024 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 2 | | matches | | 0 | "The hinge gave with a long complaint that travelled down the railings and out into the dark on either side, and she stood in the gap with the cold of the metal …" | | 1 | "It had hummed like that since Clapham, a steady heat that grew when she turned east and cooled when she turned west, so she had walked the whole way with her pa…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |