| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1640 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "truly" | | 2 | "very" |
| |
| 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) | |
| 69.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1640 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulse" | | 1 | "flicker" | | 2 | "footfall" | | 3 | "pulsed" | | 4 | "quickened" | | 5 | "weight" |
| |
| 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 | 1 | | narrationSentences | 167 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 167 | | filterMatches | | | hedgeMatches | | 0 | "started to" | | 1 | "tended to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 169 | | 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 | 1 | | markdownWords | 18 | | totalWords | 1640 | | ratio | 0.011 | | matches | | 0 | "didn't want to freak u out but im at the grove. can't leave. pls come, don't tell Silas" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1629 | | uniqueNames | 26 | | maxNameDensity | 0.43 | | worstName | "Eva" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Richmond | 3 | | Park | 3 | | Sawyer | 1 | | Hill | 1 | | Eva | 7 | | Silas | 2 | | Yu-Fei | 1 | | Cheung | 1 | | Ordinance | 1 | | Survey | 1 | | Docs | 1 | | January | 1 | | London | 1 | | Isolde | 6 | | Etsy | 1 | | North | 1 | | Circular | 1 | | Heathrow | 1 | | Pre-Law | 1 | | Cardiff | 2 | | Evan | 2 | | Earth | 1 | | Fae | 1 | | Rory | 7 | | Hel | 1 | | Heartstone | 1 |
| | persons | | 0 | "Sawyer" | | 1 | "Eva" | | 2 | "Silas" | | 3 | "Yu-Fei" | | 4 | "Cheung" | | 5 | "Isolde" | | 6 | "Evan" | | 7 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "January" | | 3 | "London" | | 4 | "Heathrow" | | 5 | "Cardiff" | | 6 | "Hel" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 95 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed literal at the time" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1640 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 169 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 32.8 | | std | 26.4 | | cv | 0.805 | | sampleLengths | | 0 | 7 | | 1 | 84 | | 2 | 28 | | 3 | 8 | | 4 | 44 | | 5 | 83 | | 6 | 9 | | 7 | 54 | | 8 | 66 | | 9 | 34 | | 10 | 5 | | 11 | 65 | | 12 | 8 | | 13 | 44 | | 14 | 5 | | 15 | 69 | | 16 | 124 | | 17 | 7 | | 18 | 3 | | 19 | 29 | | 20 | 65 | | 21 | 61 | | 22 | 36 | | 23 | 15 | | 24 | 42 | | 25 | 14 | | 26 | 13 | | 27 | 22 | | 28 | 46 | | 29 | 42 | | 30 | 46 | | 31 | 4 | | 32 | 14 | | 33 | 4 | | 34 | 47 | | 35 | 7 | | 36 | 11 | | 37 | 3 | | 38 | 5 | | 39 | 45 | | 40 | 56 | | 41 | 47 | | 42 | 43 | | 43 | 36 | | 44 | 11 | | 45 | 9 | | 46 | 49 | | 47 | 18 | | 48 | 42 | | 49 | 11 |
| |
| 94.76% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 167 | | matches | | 0 | "was replaced" | | 1 | "was covered" | | 2 | "was supposed" | | 3 | "been folded" | | 4 | "being placed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 260 | | matches | | 0 | "was leading" | | 1 | "was looking" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 169 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1637 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 60 | | adverbRatio | 0.03665241295051924 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.00916310323762981 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 169 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 169 | | mean | 9.7 | | std | 8.54 | | cv | 0.88 | | sampleLengths | | 0 | 7 | | 1 | 17 | | 2 | 32 | | 3 | 7 | | 4 | 3 | | 5 | 3 | | 6 | 22 | | 7 | 21 | | 8 | 2 | | 9 | 5 | | 10 | 4 | | 11 | 4 | | 12 | 5 | | 13 | 39 | | 14 | 5 | | 15 | 12 | | 16 | 4 | | 17 | 18 | | 18 | 6 | | 19 | 38 | | 20 | 9 | | 21 | 13 | | 22 | 12 | | 23 | 9 | | 24 | 5 | | 25 | 5 | | 26 | 10 | | 27 | 33 | | 28 | 19 | | 29 | 5 | | 30 | 2 | | 31 | 7 | | 32 | 10 | | 33 | 3 | | 34 | 21 | | 35 | 5 | | 36 | 8 | | 37 | 18 | | 38 | 6 | | 39 | 26 | | 40 | 7 | | 41 | 8 | | 42 | 3 | | 43 | 1 | | 44 | 22 | | 45 | 11 | | 46 | 7 | | 47 | 5 | | 48 | 20 | | 49 | 2 |
| |
| 46.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.34911242603550297 | | totalSentences | 169 | | uniqueOpeners | 59 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 148 | | matches | | 0 | "Only now it was not" | | 1 | "Then, underneath the nothing, a" | | 2 | "Only bark and the impossible" | | 3 | "Then, from the opposite side" | | 4 | "Somewhere behind her, just behind" | | 5 | "Too many joints." |
| | ratio | 0.041 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 148 | | matches | | 0 | "It was after one in" | | 1 | "She knew that." | | 2 | "She had told Silas anyway." | | 3 | "He'd been wiping down the" | | 4 | "It was stupid to come." | | 5 | "Her mother would have called" | | 6 | "She was twenty-five, five-six in" | | 7 | "She left the bike against" | | 8 | "Her breath made faint clouds." | | 9 | "You had to know how" | | 10 | "Her boots, old Docs with" | | 11 | "They were not supposed to" | | 12 | "Their bark was black with" | | 13 | "She had forgotten how big" | | 14 | "It was warmer." | | 15 | "It hadn't seemed literal at" | | 16 | "It was roughly the size" | | 17 | "It was warm." | | 18 | "She let it fall." | | 19 | "Her voice did not carry" |
| | ratio | 0.27 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 148 | | matches | | 0 | "The gate to Richmond Park" | | 1 | "Rory stood with her hands" | | 2 | "It was after one in" | | 3 | "The park closed at dusk" | | 4 | "She knew that." | | 5 | "Everyone knew that." | | 6 | "The chain was new, or" | | 7 | "The text from Eva was" | | 8 | "She had told Silas anyway." | | 9 | "He'd been wiping down the" | | 10 | "It was stupid to come." | | 11 | "Eva called her relentless." | | 12 | "Her mother would have called" | | 13 | "She was twenty-five, five-six in" | | 14 | "She left the bike against" | | 15 | "The park at night was" | | 16 | "The oaks were too far" | | 17 | "The wet grass swallowed sound." | | 18 | "Her breath made faint clouds." | | 19 | "The grove was not on" |
| | ratio | 0.703 | |
| 67.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 148 | | matches | | 0 | "Even at night you heard" | | 1 | "As if the air had" |
| | ratio | 0.014 | |
| 56.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 7 | | matches | | 0 | "She was twenty-five, five-six in her trainers, working lunch shifts for Yu-Fei Cheung and sleeping above a pub that smelled faintly of bleach and old hops, and …" | | 1 | "It was roughly the size of her thumbnail, deep crimson, set in a plain silver bezel that had gone dull from wearing it every day for six months." | | 2 | "Then, underneath the nothing, a sound that wasn't a sound at all, more like the feeling of sound heard through a wall." | | 3 | "Her eyes, bright blue even in dim light, kept catching movement at the edge that wasn't there when she looked straight on." | | 4 | "It bled through her thin t-shirt, a deep crimson light that painted the white flowers red." | | 5 | "Her quick, out-of-the-box thinking, the thing that had got her out of her viva when she blanked and out of Evan's flat with a duffel and a split lip, went white…" | | 6 | "And in the center of the clearing, where the flowers were thickest, the air finally tore, just a finger's width, just enough to let through a spill of lightless…" |
| |
| 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 | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |