| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 1 | | adverbTags | | 0 | "Bethan turned back [back]" |
| | dialogueSentences | 66 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.045 | | effectiveRatio | 0.03 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1495 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 83.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1495 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "silence" | | 1 | "sense of" | | 2 | "weight" | | 3 | "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 | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 76 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1501 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 867 | | uniqueNames | 12 | | maxNameDensity | 2.54 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Bethan" | | discoveredNames | | Rory | 22 | | Wales | 1 | | London | 1 | | Vaughan | 1 | | Professor | 1 | | Hargreaves | 2 | | Silas | 5 | | Bethan | 16 | | Cardiff | 1 | | Prague | 1 | | Nest | 1 | | Cathays | 1 |
| | persons | | 0 | "Rory" | | 1 | "Vaughan" | | 2 | "Silas" | | 3 | "Bethan" | | 4 | "Nest" |
| | places | | 0 | "Wales" | | 1 | "London" | | 2 | "Cardiff" | | 3 | "Prague" | | 4 | "Cathays" |
| | globalScore | 0.231 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1501 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 115 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 23.83 | | std | 23.65 | | cv | 0.993 | | sampleLengths | | 0 | 46 | | 1 | 74 | | 2 | 7 | | 3 | 10 | | 4 | 3 | | 5 | 1 | | 6 | 40 | | 7 | 49 | | 8 | 17 | | 9 | 9 | | 10 | 89 | | 11 | 26 | | 12 | 31 | | 13 | 43 | | 14 | 22 | | 15 | 15 | | 16 | 1 | | 17 | 2 | | 18 | 57 | | 19 | 6 | | 20 | 6 | | 21 | 57 | | 22 | 6 | | 23 | 9 | | 24 | 1 | | 25 | 32 | | 26 | 16 | | 27 | 16 | | 28 | 11 | | 29 | 65 | | 30 | 2 | | 31 | 6 | | 32 | 14 | | 33 | 1 | | 34 | 13 | | 35 | 13 | | 36 | 25 | | 37 | 3 | | 38 | 8 | | 39 | 2 | | 40 | 42 | | 41 | 44 | | 42 | 9 | | 43 | 39 | | 44 | 10 | | 45 | 4 | | 46 | 84 | | 47 | 20 | | 48 | 8 | | 49 | 2 |
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| 95.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 71 | | matches | | 0 | "was gone" | | 1 | "was entitled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 145 | | matches | | 0 | "was adding" | | 1 | "was polishing" |
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| 43.48% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 115 | | ratio | 0.035 | | matches | | 0 | "Even the way she stood had changed — squared up, planted, as if she'd spent four years learning exactly how much space she was entitled to take." | | 1 | "\"Charmed.\" Bethan put her handbag on the bar — leather, structured, nothing like the canvas tote she'd carried through the rain in Cardiff with its library books swelling like bread dough." | | 2 | "Something moved behind her face — not pity, something worse." | | 3 | "Somewhere past the bookshelf at the back — the one with the brass handle and the third shelf that never held anything heavier than pamphlets — a clock ticked that she'd never been able to locate." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 866 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.03348729792147806 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003464203233256351 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 13.05 | | std | 12.66 | | cv | 0.97 | | sampleLengths | | 0 | 46 | | 1 | 18 | | 2 | 26 | | 3 | 10 | | 4 | 20 | | 5 | 7 | | 6 | 3 | | 7 | 7 | | 8 | 3 | | 9 | 1 | | 10 | 5 | | 11 | 35 | | 12 | 18 | | 13 | 11 | | 14 | 16 | | 15 | 4 | | 16 | 11 | | 17 | 6 | | 18 | 9 | | 19 | 2 | | 20 | 25 | | 21 | 20 | | 22 | 7 | | 23 | 8 | | 24 | 27 | | 25 | 13 | | 26 | 13 | | 27 | 31 | | 28 | 15 | | 29 | 28 | | 30 | 10 | | 31 | 12 | | 32 | 15 | | 33 | 1 | | 34 | 2 | | 35 | 18 | | 36 | 39 | | 37 | 6 | | 38 | 6 | | 39 | 17 | | 40 | 24 | | 41 | 16 | | 42 | 6 | | 43 | 9 | | 44 | 1 | | 45 | 16 | | 46 | 10 | | 47 | 6 | | 48 | 16 | | 49 | 6 |
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| 59.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.40869565217391307 | | totalSentences | 115 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 60 | | matches | | 0 | "Even the way she stood" | | 1 | "Just the once." | | 2 | "Somewhere past the bookshelf at" |
| | ratio | 0.05 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 60 | | matches | | 0 | "He set the glass upside" | | 1 | "His left leg dragged the" | | 2 | "Her eyes found Rory and" | | 3 | "She had not said it" | | 4 | "She stopped an arm's length" | | 5 | "She looked at Rory the" | | 6 | "Her nails were the colour" | | 7 | "He set it down in" | | 8 | "Her eyes tracked the apron," | | 9 | "She had looked at that" | | 10 | "She held it there a" | | 11 | "She picked the gin back" | | 12 | "She covered it by reaching" | | 13 | "She pushed the empty glass" | | 14 | "She looked at the maps" |
| | ratio | 0.25 | |
| 10.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 60 | | matches | | 0 | "Rory had three delivery receipts" | | 1 | "Silas looked up from the" | | 2 | "He set the glass upside" | | 3 | "His left leg dragged the" | | 4 | "The green neon over the" | | 5 | "The woman turned." | | 6 | "Her eyes found Rory and" | | 7 | "Rory's pen stopped." | | 8 | "The name came out flat." | | 9 | "She had not said it" | | 10 | "Bethan Vaughan crossed the distance" | | 11 | "She stopped an arm's length" | | 12 | "She looked at Rory the" | | 13 | "Rory slid the receipts into" | | 14 | "The girl who'd argued with" | | 15 | "The trench coat had a" | | 16 | "Her nails were the colour" | | 17 | "Rory pulled out the stool" | | 18 | "Bethan put her handbag on" | | 19 | "Silas limped back over and" |
| | ratio | 0.9 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 66.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 3 | | matches | | 0 | "He set the glass upside down on the cloth and moved to the far end of the bar to rearrange bottles that did not need rearranging." | | 1 | "The girl who'd argued with Professor Hargreaves about the ethics of plea bargaining while wearing a jumper with a hole in the elbow was gone." | | 2 | "The knuckles that had once barked open on the edge of a coffee table in Cathays because she'd hit it while laughing too hard at one of Rory's impressions of Har…" |
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| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 2 | | matches | | 0 | "Bethan Vaughan crossed, heels striking the boards like a metronome" | | 1 | "Bethan's voice stayed, but her knuckles had gone white around the base of the glass" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 66 | | tagDensity | 0.106 | | leniency | 0.212 | | rawRatio | 0 | | effectiveRatio | 0 | |