| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.158 | | leniency | 0.316 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2135 | | 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) | |
| 69.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2135 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulse" | | 1 | "silence" | | 2 | "weight" | | 3 | "warmth" | | 4 | "familiar" | | 5 | "comfortable" | | 6 | "measured" | | 7 | "throb" | | 8 | "sense of" | | 9 | "stomach" | | 10 | "pulsed" |
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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 | 261 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 261 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 277 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2135 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 2081 | | uniqueNames | 13 | | maxNameDensity | 0.96 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 20 | | Richmond | 2 | | Park | 1 | | Heartstone | 4 | | Hammersmith | 1 | | Barnes | 1 | | Hel | 2 | | Silas | 2 | | Empress | 1 | | Friday | 1 | | Evan | 2 | | Two | 3 | | Crush | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Heartstone" | | 2 | "Barnes" | | 3 | "Hel" | | 4 | "Silas" | | 5 | "Evan" | | 6 | "Two" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Hammersmith" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 139 | | glossingSentenceCount | 2 | | matches | | 0 | "something between the two, folded like ears" | | 1 | "felt like stepping into wet cement" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.468 | | wordCount | 2135 | | matches | | 0 | "not from strain but from movement, the sound old ships made in harbours at night" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 277 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 125 | | mean | 17.08 | | std | 18.44 | | cv | 1.08 | | sampleLengths | | 0 | 73 | | 1 | 15 | | 2 | 70 | | 3 | 6 | | 4 | 28 | | 5 | 11 | | 6 | 41 | | 7 | 30 | | 8 | 8 | | 9 | 71 | | 10 | 6 | | 11 | 31 | | 12 | 7 | | 13 | 2 | | 14 | 13 | | 15 | 22 | | 16 | 7 | | 17 | 17 | | 18 | 10 | | 19 | 20 | | 20 | 10 | | 21 | 1 | | 22 | 38 | | 23 | 103 | | 24 | 18 | | 25 | 14 | | 26 | 9 | | 27 | 5 | | 28 | 27 | | 29 | 13 | | 30 | 12 | | 31 | 2 | | 32 | 22 | | 33 | 3 | | 34 | 1 | | 35 | 2 | | 36 | 22 | | 37 | 9 | | 38 | 6 | | 39 | 2 | | 40 | 39 | | 41 | 4 | | 42 | 7 | | 43 | 57 | | 44 | 23 | | 45 | 5 | | 46 | 22 | | 47 | 2 | | 48 | 3 | | 49 | 27 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 261 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 332 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 277 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2085 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 58 | | adverbRatio | 0.027817745803357313 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0028776978417266188 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 277 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 277 | | mean | 7.71 | | std | 6.89 | | cv | 0.894 | | sampleLengths | | 0 | 27 | | 1 | 46 | | 2 | 15 | | 3 | 29 | | 4 | 8 | | 5 | 1 | | 6 | 1 | | 7 | 8 | | 8 | 6 | | 9 | 17 | | 10 | 6 | | 11 | 8 | | 12 | 15 | | 13 | 5 | | 14 | 3 | | 15 | 8 | | 16 | 9 | | 17 | 2 | | 18 | 3 | | 19 | 19 | | 20 | 8 | | 21 | 4 | | 22 | 2 | | 23 | 2 | | 24 | 22 | | 25 | 8 | | 26 | 13 | | 27 | 9 | | 28 | 1 | | 29 | 1 | | 30 | 1 | | 31 | 2 | | 32 | 5 | | 33 | 19 | | 34 | 7 | | 35 | 13 | | 36 | 6 | | 37 | 4 | | 38 | 2 | | 39 | 2 | | 40 | 23 | | 41 | 4 | | 42 | 1 | | 43 | 2 | | 44 | 2 | | 45 | 13 | | 46 | 10 | | 47 | 9 | | 48 | 3 | | 49 | 7 |
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| 51.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 26 | | diversityRatio | 0.36764705882352944 | | totalSentences | 272 | | uniqueOpeners | 100 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 209 | | matches | | 0 | "Just the sense that the" | | 1 | "Then she heard a footstep" | | 2 | "Only the path she had" | | 3 | "Instead, she had got off" | | 4 | "Then, from farther in, came" | | 5 | "Only blackness between stems, layered" | | 6 | "Then a second set of" | | 7 | "Then, clear as if someone" |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 209 | | matches | | 0 | "She stood before the ring" | | 1 | "Their surfaces held the moon" | | 2 | "She slipped between two of" | | 3 | "They crowded one another without" | | 4 | "She checked her phone." | | 5 | "She pocketed it and looked" | | 6 | "Her own breath came shallow" | | 7 | "She had not come on" | | 8 | "It did not." | | 9 | "She crouched and touched a" | | 10 | "She could have named the" | | 11 | "She took the lane the" | | 12 | "She saw none." | | 13 | "Her steps made almost no" | | 14 | "She stopped again and listened." | | 15 | "She did not turn this" | | 16 | "She watched the flowers ahead" | | 17 | "Her voice held." | | 18 | "She clung to that." | | 19 | "It moved with intent, not" |
| | ratio | 0.187 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 143 | | totalSentences | 209 | | matches | | 0 | "The last bus had dropped" | | 1 | "She stood before the ring" | | 2 | "Their surfaces held the moon" | | 3 | "Moss filled the grooves in" | | 4 | "Something pale grew at their" | | 5 | "The pendant gave a slow" | | 6 | "Aurora drew it out on" | | 7 | "The deep crimson stone held" | | 8 | "The words vanished the moment" | | 9 | "The park behind her still" | | 10 | "That wrongness hit first." | | 11 | "She slipped between two of" | | 12 | "Wildflowers spread through the clearing" | | 13 | "They crowded one another without" | | 14 | "Frost silvered the grass outside" | | 15 | "Aurora took three steps and" | | 16 | "The smell came next." | | 17 | "The place smelled of crushed" | | 18 | "She checked her phone." | | 19 | "She pocketed it and looked" |
| | ratio | 0.684 | |
| 95.69% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 209 | | matches | | 0 | "By the time Aurora reached" | | 1 | "Now that she stood in" | | 2 | "To her right, something black" | | 3 | "Now a deep red throb" |
| | ratio | 0.019 | |
| 77.07% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 76 | | technicalSentenceCount | 7 | | matches | | 0 | "The last bus had dropped her near the road, and she had walked the rest with her delivery rucksack hanging from one shoulder and the Heartstone pendant tucked u…" | | 1 | "In daylight they would have passed for some half-forgotten bit of park oddity, weathered posts sunk into the earth by a council that liked heritage plaques and …" | | 2 | "White light cut over blossoms, oak bark, a spill of white petals on the ground that looked almost like scraps of paper." | | 3 | "Then, clear as if someone stood over her shoulder, her mother’s voice spoke into her left ear." | | 4 | "In their midst stood a shape with her height and her build, black hair cut to the shoulder, one hand lifted at its throat as if it too held a chain." | | 5 | "Long shallow marks crossed and recrossed each other at shoulder height, hundreds of them, as if nails had dragged there over years." | | 6 | "It let her see only pieces: the line of a shoulder where no body should have fit, fingers too long resting on a standing stone, blackness folding around a shape…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "she snapped (snap)" |
| | dialogueSentences | 19 | | tagDensity | 0.158 | | leniency | 0.316 | | rawRatio | 1 | | effectiveRatio | 0.316 | |