| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.053 | | leniency | 0.105 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2142 | | 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) | |
| 60.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2142 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "silence" | | 1 | "pulsed" | | 2 | "warmth" | | 3 | "flickered" | | 4 | "echoes" | | 5 | "weight" | | 6 | "pulse" | | 7 | "whisper" | | 8 | "stomach" | | 9 | "charm" | | 10 | "trembled" |
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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 | 248 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 248 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 283 | | 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 | 2142 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1925 | | uniqueNames | 12 | | maxNameDensity | 1.51 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Golden | 2 | | Empress | 2 | | Grove | 1 | | Heartstone | 6 | | Camden | 1 | | Eva | 2 | | Carter | 1 | | Cardiff | 3 | | Brendan | 1 | | Rory | 29 |
| | persons | | 0 | "Empress" | | 1 | "Heartstone" | | 2 | "Eva" | | 3 | "Carter" | | 4 | "Brendan" | | 5 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Camden" | | 3 | "Cardiff" |
| | globalScore | 0.747 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 134 | | glossingSentenceCount | 1 | | matches | | 0 | "as if warning her to stay still" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 0.934 | | wordCount | 2142 | | matches | | 0 | "not among oaks but in the hallway outside the flat in Cardiff, keys digging int" | | 1 | "not black at all but deep, wet openings" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 283 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 167 | | mean | 12.83 | | std | 14.39 | | cv | 1.122 | | sampleLengths | | 0 | 20 | | 1 | 68 | | 2 | 6 | | 3 | 51 | | 4 | 13 | | 5 | 6 | | 6 | 8 | | 7 | 54 | | 8 | 6 | | 9 | 3 | | 10 | 6 | | 11 | 57 | | 12 | 28 | | 13 | 6 | | 14 | 2 | | 15 | 7 | | 16 | 10 | | 17 | 58 | | 18 | 48 | | 19 | 11 | | 20 | 3 | | 21 | 38 | | 22 | 2 | | 23 | 5 | | 24 | 3 | | 25 | 47 | | 26 | 45 | | 27 | 1 | | 28 | 13 | | 29 | 1 | | 30 | 1 | | 31 | 1 | | 32 | 2 | | 33 | 10 | | 34 | 28 | | 35 | 20 | | 36 | 7 | | 37 | 6 | | 38 | 10 | | 39 | 9 | | 40 | 37 | | 41 | 6 | | 42 | 12 | | 43 | 10 | | 44 | 12 | | 45 | 3 | | 46 | 42 | | 47 | 4 | | 48 | 22 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 248 | | matches | | 0 | "been nineteen" | | 1 | "been open" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 300 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 283 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1930 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 71 | | adverbRatio | 0.03678756476683938 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0015544041450777201 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 283 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 283 | | mean | 7.57 | | std | 6.6 | | cv | 0.871 | | sampleLengths | | 0 | 20 | | 1 | 8 | | 2 | 3 | | 3 | 10 | | 4 | 37 | | 5 | 7 | | 6 | 2 | | 7 | 1 | | 8 | 6 | | 9 | 27 | | 10 | 10 | | 11 | 14 | | 12 | 3 | | 13 | 10 | | 14 | 6 | | 15 | 8 | | 16 | 11 | | 17 | 19 | | 18 | 24 | | 19 | 6 | | 20 | 3 | | 21 | 6 | | 22 | 2 | | 23 | 2 | | 24 | 2 | | 25 | 31 | | 26 | 20 | | 27 | 19 | | 28 | 9 | | 29 | 6 | | 30 | 2 | | 31 | 7 | | 32 | 10 | | 33 | 5 | | 34 | 27 | | 35 | 12 | | 36 | 14 | | 37 | 10 | | 38 | 14 | | 39 | 14 | | 40 | 10 | | 41 | 4 | | 42 | 4 | | 43 | 3 | | 44 | 3 | | 45 | 10 | | 46 | 14 | | 47 | 9 | | 48 | 5 | | 49 | 2 |
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| 47.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 23 | | diversityRatio | 0.3321554770318021 | | totalSentences | 283 | | uniqueOpeners | 94 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 201 | | matches | | 0 | "Then the last orange wash" | | 1 | "Just three lines written on" | | 2 | "Then a woman laughed." | | 3 | "Then it lay still again." | | 4 | "Too many joints." | | 5 | "Then darkness returned, and the" | | 6 | "Only hollows stuffed with white" | | 7 | "Then, below the grove, under" |
| | ratio | 0.04 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 201 | | matches | | 0 | "It had thinned." | | 1 | "She stopped before the boundary" | | 2 | "They stood in a half" | | 3 | "Their surfaces held pale scratches" | | 4 | "She would have ignored it" | | 5 | "It pulsed once, faint and" | | 6 | "She looked through the gap" | | 7 | "Their colours looked dark under" | | 8 | "She glanced back." | | 9 | "Her phone showed 00:07, no" | | 10 | "She stepped between the stones." | | 11 | "It pressed against her ears" | | 12 | "She turned, slow, phone light" | | 13 | "She snapped the torch towards" | | 14 | "She moved closer to one" | | 15 | "she asked the pendant" | | 16 | "It gave no answer." | | 17 | "It came from deeper inside" | | 18 | "They pressed deep into the" | | 19 | "Her scalp tightened." |
| | ratio | 0.194 | |
| 69.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 157 | | totalSentences | 201 | | matches | | 0 | "Aurora reached the oak stones" | | 1 | "The city had not vanished" | | 2 | "It had thinned." | | 3 | "The wind had died ten" | | 4 | "She stopped before the boundary" | | 5 | "They stood in a half" | | 6 | "Their surfaces held pale scratches" | | 7 | "That bothered her more than" | | 8 | "Rory adjusted the strap of" | | 9 | "The thing looked ridiculous out" | | 10 | "She would have ignored it" | | 11 | "The Heartstone hung beneath her" | | 12 | "It pulsed once, faint and" | | 13 | "Rory put a hand over" | | 14 | "The warmth came again, a" | | 15 | "She looked through the gap" | | 16 | "Wildflowers grew in heavy clumps" | | 17 | "Their colours looked dark under" | | 18 | "The grass beyond the stones" | | 19 | "Rory had been here once" |
| | ratio | 0.781 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 201 | | matches | (empty) | | ratio | 0 | |
| 65.64% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 74 | | technicalSentenceCount | 8 | | matches | | 0 | "Then the last orange wash of streetlight had broken apart on the branches and left her with her phone torch, a narrow white blade that made every trunk look lik…" | | 1 | "Inside, beneath two foil-wrapped containers that had gone cold long before she entered the park, lay the folded note that had brought her here." | | 2 | "Wildflowers grew in heavy clumps beneath the moon, bluebells, foxgloves, primrose, poppies, all wrong together, all blooming as if the year had got drunk and lo…" | | 3 | "It pressed against her ears and teeth, as if she had stepped underwater without the mercy of drowning." | | 4 | "The foil containers shifted inside with a small, greasy rustle that sounded too loud." | | 5 | "For one sharp second she stood in a different dark, not among oaks but in the hallway outside the flat in Cardiff, keys digging into her palm, his hand blocking…" | | 6 | "Poppies opened black centres that were not black at all but deep, wet openings." | | 7 | "But the double’s smile sat wrong, pulled a fraction too high at one corner, as if the face underneath had guessed at amusement and missed." |
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| 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 | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 38 | | tagDensity | 0.053 | | leniency | 0.105 | | rawRatio | 0.5 | | effectiveRatio | 0.053 | |