| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1388 | | 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) | |
| 53.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1388 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulsed" | | 1 | "throbbed" | | 2 | "echo" | | 3 | "silence" | | 4 | "perfect" | | 5 | "footsteps" | | 6 | "pulse" | | 7 | "flickered" |
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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 | 165 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 165 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 99.57% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 178 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0.006 | | matches | | 0 | "Her fingers found cold bark, then空, then stone." |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1391 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 89.42% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1238 | | uniqueNames | 10 | | maxNameDensity | 1.21 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Golden | 1 | | Empress | 1 | | Heartstone | 2 | | Tonight | 1 | | November | 1 | | London | 1 | | Rory | 15 | | Mist | 4 |
| | persons | | 0 | "Heartstone" | | 1 | "Rory" | | 2 | "Mist" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" | | 3 | "November" | | 4 | "London" |
| | globalScore | 0.894 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 92 | | 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 | 1391 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 178 | | matches | (empty) | |
| 96.34% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 30.24 | | std | 14.73 | | cv | 0.487 | | sampleLengths | | 0 | 17 | | 1 | 26 | | 2 | 27 | | 3 | 25 | | 4 | 12 | | 5 | 35 | | 6 | 19 | | 7 | 14 | | 8 | 28 | | 9 | 41 | | 10 | 46 | | 11 | 42 | | 12 | 23 | | 13 | 44 | | 14 | 56 | | 15 | 27 | | 16 | 31 | | 17 | 9 | | 18 | 29 | | 19 | 36 | | 20 | 58 | | 21 | 30 | | 22 | 6 | | 23 | 50 | | 24 | 29 | | 25 | 39 | | 26 | 8 | | 27 | 52 | | 28 | 15 | | 29 | 5 | | 30 | 17 | | 31 | 41 | | 32 | 37 | | 33 | 16 | | 34 | 3 | | 35 | 59 | | 36 | 54 | | 37 | 20 | | 38 | 28 | | 39 | 39 | | 40 | 25 | | 41 | 30 | | 42 | 27 | | 43 | 46 | | 44 | 46 | | 45 | 24 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 165 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 207 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 178 | | ratio | 0.011 | | matches | | 0 | "Even the distant hum of London — traffic, planes, sirens — had gone." | | 1 | "For half a second she caught movement at the edge of sight — a tall shape, too jointed, stepping between oaks with no rustle." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 298 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.026845637583892617 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 178 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 178 | | mean | 7.81 | | std | 5.89 | | cv | 0.754 | | sampleLengths | | 0 | 9 | | 1 | 8 | | 2 | 3 | | 3 | 4 | | 4 | 2 | | 5 | 2 | | 6 | 15 | | 7 | 9 | | 8 | 5 | | 9 | 13 | | 10 | 7 | | 11 | 4 | | 12 | 6 | | 13 | 8 | | 14 | 5 | | 15 | 2 | | 16 | 5 | | 17 | 3 | | 18 | 32 | | 19 | 6 | | 20 | 7 | | 21 | 6 | | 22 | 3 | | 23 | 2 | | 24 | 9 | | 25 | 8 | | 26 | 10 | | 27 | 4 | | 28 | 6 | | 29 | 15 | | 30 | 7 | | 31 | 2 | | 32 | 5 | | 33 | 12 | | 34 | 6 | | 35 | 9 | | 36 | 25 | | 37 | 6 | | 38 | 7 | | 39 | 14 | | 40 | 11 | | 41 | 10 | | 42 | 4 | | 43 | 10 | | 44 | 9 | | 45 | 3 | | 46 | 28 | | 47 | 1 | | 48 | 2 | | 49 | 4 |
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| 56.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.38764044943820225 | | totalSentences | 178 | | uniqueOpeners | 69 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 136 | | matches | | 0 | "Then static swelled up, thick" | | 1 | "Even the distant hum of" | | 2 | "Then a twig cracked to" | | 3 | "Directly behind the tallest stone." | | 4 | "Only flowers nodded, though no" | | 5 | "Then a new sound rose" |
| | ratio | 0.044 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 136 | | matches | | 0 | "Her scooter ticked as the" | | 1 | "She thumbed the call button." | | 2 | "Her torch beam cut a" | | 3 | "Her breath puffed out and" | | 4 | "She let it drop." | | 5 | "It settled and branded a" | | 6 | "She kept her hand around" | | 7 | "Her voice fell flat." | | 8 | "Her own breath rasped loud." | | 9 | "She forced her shoulders down" | | 10 | "She pulled back." | | 11 | "Her fingertips tingled." | | 12 | "She cupped the stone." | | 13 | "It circled the clearing, out" | | 14 | "Her shoulder-length black hair caught" | | 15 | "Her mobile buzzed once in" | | 16 | "It came from below the" | | 17 | "She backed toward the centre" | | 18 | "Her voice shook on the" | | 19 | "She hated the shake and" |
| | ratio | 0.199 | |
| 37.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 115 | | totalSentences | 136 | | matches | | 0 | "The gate at Richmond Park" | | 1 | "Rory checked the ticket on" | | 2 | "A hand-drawn map." | | 3 | "A circle in biro." | | 4 | "A late order from the" | | 5 | "Her scooter ticked as the" | | 6 | "Mist curled around her trainers." | | 7 | "The main path stretched ahead," | | 8 | "Rory tipped the bag forward" | | 9 | "Salt and star anise." | | 10 | "The cartons leaked heat through" | | 11 | "She thumbed the call button." | | 12 | "Ring tone stretched and snapped." | | 13 | "A breath crackled down the" | | 14 | "The screen stuttered." | | 15 | "The time read 01:14, then" | | 16 | "Rory shoved the mobile into" | | 17 | "Her torch beam cut a" | | 18 | "Moths barged through it." | | 19 | "Her breath puffed out and" |
| | ratio | 0.846 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 136 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |