| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 68 | | tagDensity | 0.162 | | leniency | 0.324 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1337 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1337 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "vibrated" | | 1 | "chill" | | 2 | "familiar" | | 3 | "echoed" | | 4 | "shattered" | | 5 | "aftermath" | | 6 | "traced" | | 7 | "ephemeral" | | 8 | "echo" | | 9 | "quivered" | | 10 | "charm" | | 11 | "sanctuary" | | 12 | "resolve" | | 13 | "gleaming" | | 14 | "enigmatic" | | 15 | "etched" | | 16 | "scanned" | | 17 | "unravel" | | 18 | "oppression" | | 19 | "glinting" |
| |
| 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 | 189 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 189 | | filterMatches | | | hedgeMatches | (empty) | |
| 95.11% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 248 | | gibberishSentences | 3 | | adjustedGibberishSentences | 3 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 1 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0.012 | | matches | | 0 | "<Tue_Wed_.Feb_29-Mar_2._1939_)_final Philippine Expedition_\\aboard_the_Going_/." | | 1 | "Closed deck enormous end tiresome track Worked stair steep seeking still air Steeling shiver shakes stairwell shadows stalking stairsteps Searching somewhere Shifting steps Seeing …" | | 2 | "Closedrotate Black None <response_end-->" |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 31 | | markdownWords | 39 | | totalWords | 1334 | | ratio | 0.029 | | matches | | 0 | "warned" | | 1 | "station" | | 2 | "ll safely say gods save men" | | 3 | "walks" | | 4 | "a" | | 5 | "thereal" | | 6 | "told" | | 7 | "of" | | 8 | "um" | | 9 | "forbidden" | | 10 | "struck" | | 11 | "dust" | | 12 | "no" | | 13 | "yes" | | 14 | "veil" | | 15 | "Moved" | | 16 | "_REST-toast" | | 17 | "change" | | 18 | "case" | | 19 | "concerning ‘elders'darkness" | | 20 | "Wed" | | 21 | "29-Mar" | | 22 | "1939" | | 23 | "motion" | | 24 | "_" | | 25 | "Wed" | | 26 | "29-Mar" | | 27 | "1939" | | 28 | "final Philippine Expedition" | | 29 | "the" | | 30 | "writbeneath" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 995 | | uniqueNames | 31 | | maxNameDensity | 0.4 | | worstName | "Golden" | | maxWindowNameDensity | 2 | | worstWindowName | "Golden" | | discoveredNames | | Davies | 3 | | Harlow | 1 | | Quinn | 1 | | Turned | 1 | | Amongst | 1 | | Mother | 1 | | Read | 1 | | Forbidden | 1 | | Recalling | 1 | | Dexter | 1 | | Gnawing | 1 | | Golden | 4 | | Aurora | 2 | | Tapping | 1 | | Hecate | 1 | | Next | 1 | | Fall | 1 | | Earth | 1 | | Philippine | 1 | | Worked | 1 | | Steeling | 1 | | Searching | 1 | | Shifting | 1 | | Seeing | 1 | | Digging | 1 | | Finding | 1 | | Knowing | 1 | | Moon-faced | 1 | | Closedrotate | 1 | | Black | 1 | | Grasping | 4 |
| | persons | | 0 | "Davies" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Turned" | | 4 | "Mother" | | 5 | "Dexter" | | 6 | "Aurora" | | 7 | "Shifting" | | 8 | "Black" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1334 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 248 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 127 | | mean | 10.5 | | std | 10.06 | | cv | 0.957 | | sampleLengths | | 0 | 20 | | 1 | 12 | | 2 | 25 | | 3 | 13 | | 4 | 16 | | 5 | 11 | | 6 | 8 | | 7 | 12 | | 8 | 7 | | 9 | 6 | | 10 | 10 | | 11 | 34 | | 12 | 7 | | 13 | 33 | | 14 | 6 | | 15 | 5 | | 16 | 1 | | 17 | 1 | | 18 | 28 | | 19 | 44 | | 20 | 25 | | 21 | 37 | | 22 | 1 | | 23 | 5 | | 24 | 6 | | 25 | 24 | | 26 | 20 | | 27 | 9 | | 28 | 5 | | 29 | 35 | | 30 | 8 | | 31 | 6 | | 32 | 2 | | 33 | 7 | | 34 | 4 | | 35 | 3 | | 36 | 33 | | 37 | 23 | | 38 | 19 | | 39 | 31 | | 40 | 11 | | 41 | 43 | | 42 | 26 | | 43 | 8 | | 44 | 40 | | 45 | 15 | | 46 | 12 | | 47 | 24 | | 48 | 4 | | 49 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 189 | | matches | | 0 | "was warned" | | 1 | "was written" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 243 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 248 | | ratio | 0.004 | | matches | | 0 | "Closedrotate Black None <response_end-->" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 448 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.024553571428571428 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.015625 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 248 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 248 | | mean | 5.38 | | std | 4.04 | | cv | 0.751 | | sampleLengths | | 0 | 6 | | 1 | 3 | | 2 | 11 | | 3 | 3 | | 4 | 9 | | 5 | 5 | | 6 | 2 | | 7 | 6 | | 8 | 6 | | 9 | 5 | | 10 | 1 | | 11 | 9 | | 12 | 4 | | 13 | 14 | | 14 | 2 | | 15 | 9 | | 16 | 1 | | 17 | 1 | | 18 | 8 | | 19 | 12 | | 20 | 7 | | 21 | 1 | | 22 | 1 | | 23 | 2 | | 24 | 2 | | 25 | 9 | | 26 | 5 | | 27 | 7 | | 28 | 6 | | 29 | 5 | | 30 | 5 | | 31 | 7 | | 32 | 4 | | 33 | 3 | | 34 | 9 | | 35 | 3 | | 36 | 5 | | 37 | 5 | | 38 | 6 | | 39 | 5 | | 40 | 6 | | 41 | 5 | | 42 | 1 | | 43 | 1 | | 44 | 9 | | 45 | 7 | | 46 | 5 | | 47 | 7 | | 48 | 8 | | 49 | 14 |
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| 95.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.75 | | totalSentences | 248 | | uniqueOpeners | 186 | |
| 41.93% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 159 | | matches | | 0 | "Too much blood." | | 1 | "Only offering one option." |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 159 | | matches | | 0 | "Her leather watch ticked full" | | 1 | "He was talking fast now" | | 2 | "Her worn leather satchel seized" | | 3 | "He squinted at the only" | | 4 | "Its purpose swore detritus from" | | 5 | "His foot harbingered snapping." | | 6 | "She paced on." | | 7 | "Her worn leather shoes whispered" | | 8 | "She glimpsed chipped orange edges." | | 9 | "She zeroed in on a" | | 10 | "Her fingers traced the worn" | | 11 | "Its captive quivered." | | 12 | "She steadied her shaking hands." | | 13 | "She shielded her satchel's salvage." | | 14 | "Her scarred search scoured the" | | 15 | "She unraveled the riddle read" | | 16 | "Her worn leather bag saw" | | 17 | "They ambled along." | | 18 | "Her nails tapped tapping ancient" | | 19 | "Her tin regrettably closed a" |
| | ratio | 0.126 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 159 | | matches | | 0 | "Blood pooled beneath the upturned" | | 1 | "The metal railing vibrated as" | | 2 | "Detective Harlow Quinn crouched low." | | 3 | "A tango of fluids and" | | 4 | "Her leather watch ticked full" | | 5 | "The worn band cinched tight." | | 6 | "A silver shard glinted" | | 7 | "He was talking fast now" | | 8 | "Her worn leather satchel seized" | | 9 | "He squinted at the only" | | 10 | "The tunnel echoed his sigh" | | 11 | "vacancies She questioned the door." | | 12 | "Its purpose swore detritus from" | | 13 | "Queer company kept her watchful" | | 14 | "His foot harbingered snapping." | | 15 | "She paced on." | | 16 | "Her worn leather shoes whispered" | | 17 | "She glimpsed chipped orange edges." | | 18 | "Welsh damned dragons the scorched" | | 19 | "Smoke danced with dust disturbed." |
| | ratio | 0.421 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 159 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 14 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 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 | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Another step divulged (divulge)" | | 1 | "ephemeral echo preached (preach)" |
| | dialogueSentences | 68 | | tagDensity | 0.044 | | leniency | 0.088 | | rawRatio | 0.667 | | effectiveRatio | 0.059 | |