| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 147 | | tagDensity | 0.075 | | leniency | 0.15 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2782 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "softly" | | 1 | "quickly" | | 2 | "sharply" | | 3 | "really" |
| |
| 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) | |
| 82.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2782 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "eyebrow" | | 1 | "flicked" | | 2 | "silence" | | 3 | "warmth" | | 4 | "affection" | | 5 | "traced" | | 6 | "efficient" | | 7 | "stomach" | | 8 | "standard" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 202 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 202 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 338 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2782 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 1 | | matches | | 0 | "It reached her whole at once: Cardiff rain on bus shelters, fried chips under cheap paper, sprinting across campus with …" |
| |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 68 | | wordCount | 1922 | | uniqueNames | 13 | | maxNameDensity | 1.3 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 1 | | Nest | 2 | | London | 2 | | Balkans | 1 | | Cardiff | 1 | | Eva | 2 | | Aurora | 25 | | Daniel | 14 | | Bristol | 1 | | Silas | 14 | | Cathays | 1 | | Leave | 1 | | Enough | 3 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Eva" | | 3 | "Aurora" | | 4 | "Daniel" | | 5 | "Silas" |
| | places | | 0 | "London" | | 1 | "Cardiff" | | 2 | "Bristol" | | 3 | "Cathays" | | 4 | "Leave" |
| | globalScore | 0.85 | | windowScore | 0.333 | |
| 72.48% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 129 | | glossingSentenceCount | 4 | | matches | | 0 | "as though listening to something only the wood could tell him" | | 1 | "seemed taller than she remembered, then she realised he had simply learned how to hold himself straight" | | 2 | "as if searching for the years in the lines around her mouth, the set of her shoulders, the sharper edges where London had taken a file to her" | | 3 | "seemed aware of doing it" |
| |
| 56.22% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 1.438 | | wordCount | 2782 | | matches | | 0 | "neither full nor" | | 1 | "not by shape but by habit, as if it had forgotten the easy work of smiling" | | 2 | "Not a laugh exactly, but close" | | 3 | "not empty this time but dense, full of all the unsent words" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 338 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 237 | | mean | 11.74 | | std | 15.9 | | cv | 1.354 | | sampleLengths | | 0 | 65 | | 1 | 74 | | 2 | 29 | | 3 | 3 | | 4 | 15 | | 5 | 5 | | 6 | 6 | | 7 | 6 | | 8 | 20 | | 9 | 2 | | 10 | 3 | | 11 | 6 | | 12 | 61 | | 13 | 67 | | 14 | 5 | | 15 | 6 | | 16 | 120 | | 17 | 5 | | 18 | 7 | | 19 | 3 | | 20 | 17 | | 21 | 1 | | 22 | 30 | | 23 | 6 | | 24 | 1 | | 25 | 59 | | 26 | 7 | | 27 | 1 | | 28 | 13 | | 29 | 9 | | 30 | 52 | | 31 | 5 | | 32 | 5 | | 33 | 10 | | 34 | 4 | | 35 | 1 | | 36 | 64 | | 37 | 24 | | 38 | 7 | | 39 | 5 | | 40 | 6 | | 41 | 38 | | 42 | 18 | | 43 | 6 | | 44 | 5 | | 45 | 21 | | 46 | 8 | | 47 | 1 | | 48 | 24 | | 49 | 37 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 202 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 324 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 338 | | 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 | 55 | | adverbRatio | 0.02849740932642487 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.0062176165803108805 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 338 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 338 | | mean | 8.23 | | std | 7.84 | | cv | 0.952 | | sampleLengths | | 0 | 21 | | 1 | 7 | | 2 | 9 | | 3 | 13 | | 4 | 3 | | 5 | 12 | | 6 | 20 | | 7 | 7 | | 8 | 20 | | 9 | 27 | | 10 | 13 | | 11 | 10 | | 12 | 6 | | 13 | 3 | | 14 | 15 | | 15 | 5 | | 16 | 6 | | 17 | 6 | | 18 | 7 | | 19 | 13 | | 20 | 2 | | 21 | 3 | | 22 | 6 | | 23 | 8 | | 24 | 6 | | 25 | 27 | | 26 | 20 | | 27 | 7 | | 28 | 15 | | 29 | 12 | | 30 | 33 | | 31 | 5 | | 32 | 6 | | 33 | 17 | | 34 | 16 | | 35 | 25 | | 36 | 19 | | 37 | 7 | | 38 | 9 | | 39 | 7 | | 40 | 20 | | 41 | 5 | | 42 | 7 | | 43 | 3 | | 44 | 6 | | 45 | 11 | | 46 | 1 | | 47 | 30 | | 48 | 3 | | 49 | 2 |
| |
| 47.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.257396449704142 | | totalSentences | 338 | | uniqueOpeners | 87 | |
| 37.45% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 178 | | matches | | 0 | "More like dropped cutlery." | | 1 | "Just better dressed for damage." |
| | ratio | 0.011 | |
| 71.69% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 66 | | totalSentences | 178 | | matches | | 0 | "Her trainers squeaked on the" | | 1 | "She paused just inside the" | | 2 | "His silver signet ring flashed" | | 3 | "He lifted his chin at" | | 4 | "He looked past her to" | | 5 | "He tucked it beneath the" | | 6 | "She pushed damp hair behind" | | 7 | "She dried her hands and" | | 8 | "She looked once, then again." | | 9 | "His coat, dark and expensive," | | 10 | "He had filled out across" | | 11 | "His mouth looked meaner, not" | | 12 | "She did not answer at" | | 13 | "Her throat had gone dry" | | 14 | "His eyes widened." | | 15 | "It reached her whole at" | | 16 | "He picked up another glass." | | 17 | "He brought his drink with" | | 18 | "His laugh came out low" | | 19 | "It died quickly." |
| | ratio | 0.371 | |
| 38.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 150 | | totalSentences | 178 | | matches | | 0 | "The green neon above The" | | 1 | "Glass rang softly." | | 2 | "Someone at the far end" | | 3 | "Aurora came in with rain" | | 4 | "Her trainers squeaked on the" | | 5 | "She paused just inside the" | | 6 | "The bar smelled of citrus" | | 7 | "Silas stood behind the counter" | | 8 | "His silver signet ring flashed" | | 9 | "He lifted his chin at" | | 10 | "Silas set the glass down." | | 11 | "He looked past her to" | | 12 | "Aurora slid the paper bag" | | 13 | "He tucked it beneath the" | | 14 | "She pushed damp hair behind" | | 15 | "She dried her hands and" | | 16 | "The Nest was neither full" | | 17 | "A pair in office clothes" | | 18 | "She looked once, then again." | | 19 | "The towel stopped in her" |
| | ratio | 0.843 | |
| 56.18% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 178 | | matches | | 0 | "Now his hair was cropped" | | 1 | "If he wanted to be" |
| | ratio | 0.011 | |
| 52.31% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 71 | | technicalSentenceCount | 9 | | matches | | 0 | "The bar smelled of citrus peel, old wood, beer froth, and the faint coal-dust scent that clung to London pubs in winter even when no fire burned." | | 1 | "Silas stood behind the counter polishing a glass that did not need polishing." | | 2 | "The man leaned over the table as though listening to something only the wood could tell him." | | 3 | "His mouth looked meaner, not by shape but by habit, as if it had forgotten the easy work of smiling." | | 4 | "It reached her whole at once: Cardiff rain on bus shelters, fried chips under cheap paper, sprinting across campus with essay notes in the wrong order, Eva shou…" | | 5 | "He looked at her as if searching for the years in the lines around her mouth, the set of her shoulders, the sharper edges where London had taken a file to her." | | 6 | "She remembered standing outside Cathays station with her phone in hand, redialling a number that had clicked dead." | | 7 | "Silence spread, not empty this time but dense, full of all the unsent words that had fermented in separate lives." | | 8 | "Aurora carried her fresh drink to the corner table and sat opposite the man who had once disappeared from her life and then walked back into it dripping train t…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "Aurora repeated (repeat)" |
| | dialogueSentences | 147 | | tagDensity | 0.054 | | leniency | 0.109 | | rawRatio | 0.125 | | effectiveRatio | 0.014 | |