| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.288 | | leniency | 0.577 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1120 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "lightly" | | 2 | "slowly" |
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| 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) | |
| 86.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1120 | | totalAiIsms | 3 | | found | | | highlights | | |
| 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 | 60 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 60 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1133 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 666 | | uniqueNames | 5 | | maxNameDensity | 0.75 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 5 | | Rory | 2 | | Started | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | 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 | 1133 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 20.23 | | std | 19.35 | | cv | 0.957 | | sampleLengths | | 0 | 24 | | 1 | 43 | | 2 | 7 | | 3 | 4 | | 4 | 12 | | 5 | 33 | | 6 | 38 | | 7 | 48 | | 8 | 5 | | 9 | 5 | | 10 | 18 | | 11 | 40 | | 12 | 4 | | 13 | 1 | | 14 | 2 | | 15 | 12 | | 16 | 38 | | 17 | 5 | | 18 | 62 | | 19 | 7 | | 20 | 11 | | 21 | 65 | | 22 | 49 | | 23 | 6 | | 24 | 4 | | 25 | 41 | | 26 | 32 | | 27 | 8 | | 28 | 16 | | 29 | 3 | | 30 | 5 | | 31 | 39 | | 32 | 2 | | 33 | 2 | | 34 | 57 | | 35 | 35 | | 36 | 1 | | 37 | 6 | | 38 | 13 | | 39 | 53 | | 40 | 34 | | 41 | 6 | | 42 | 1 | | 43 | 8 | | 44 | 13 | | 45 | 71 | | 46 | 9 | | 47 | 4 | | 48 | 3 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 120 | | matches | | 0 | "was usually cataloguing" | | 1 | "was becoming" | | 2 | "was losing" | | 3 | "was trying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 97 | | ratio | 0.082 | | matches | | 0 | "Rory worked them in order — bottom, top, middle — and the door swung open on a figure she hadn't rehearsed for." | | 1 | "Lucien surveyed the room — the books stacked like bad teeth, the map unfurled on the table with its pins and red thread, the mug of tea gone cold at her elbow." | | 2 | "Not a smile — Lucien did not smile when it counted — but a line that suggested he had felt the hit and would not dignify it with a flinch." | | 3 | "\"I left you on a pavement because the alternative was having you in a room with Corvin Asch and a man who had been told to carve my name into someone.\" His voice stayed low; it always did when he meant it." | | 4 | "That was one of the things she'd hated about him, once, and missed about him after — the way he let silence do its work." | | 5 | "The black eye, she had always thought, was the honest one — you couldn't read anything into a thing that gave nothing back." | | 6 | "Close enough that the cologne he wore — bergamot, cedar, something darker underneath that she had never placed — reached her before his voice did." | | 7 | "He looked down at it the way he had the first time — not with pity, with attention — and she remembered, with an unwelcome clarity, the feeling of his thumb tracing it in a hotel bed in a city she was trying not to name." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 656 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.03048780487804878 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004573170731707317 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 11.68 | | std | 11.05 | | cv | 0.946 | | sampleLengths | | 0 | 2 | | 1 | 22 | | 2 | 26 | | 3 | 17 | | 4 | 7 | | 5 | 4 | | 6 | 12 | | 7 | 12 | | 8 | 21 | | 9 | 11 | | 10 | 27 | | 11 | 32 | | 12 | 4 | | 13 | 4 | | 14 | 8 | | 15 | 5 | | 16 | 5 | | 17 | 18 | | 18 | 7 | | 19 | 24 | | 20 | 9 | | 21 | 4 | | 22 | 1 | | 23 | 2 | | 24 | 12 | | 25 | 6 | | 26 | 30 | | 27 | 2 | | 28 | 5 | | 29 | 5 | | 30 | 21 | | 31 | 36 | | 32 | 7 | | 33 | 5 | | 34 | 6 | | 35 | 8 | | 36 | 57 | | 37 | 42 | | 38 | 7 | | 39 | 6 | | 40 | 4 | | 41 | 9 | | 42 | 7 | | 43 | 25 | | 44 | 21 | | 45 | 3 | | 46 | 8 | | 47 | 8 | | 48 | 16 | | 49 | 3 |
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| 65.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4329896907216495 | | totalSentences | 97 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 48 | | matches | | 0 | "Slowly, as if she were" | | 1 | "Then she said," |
| | ratio | 0.042 | |
| 3.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 48 | | matches | | 0 | "He inclined his head, a" | | 1 | "She stepped aside because her" | | 2 | "He did not comment." | | 3 | "He set the cane against" | | 4 | "She crossed her arms to" | | 5 | "He walked to the table." | | 6 | "He raised his eyes" | | 7 | "She laughed, short and not" | | 8 | "His voice stayed low; it" | | 9 | "He did not rush to" | | 10 | "She went to the kitchen" | | 11 | "she asked, back still to" | | 12 | "He hadn't moved." | | 13 | "He looked at her for" | | 14 | "It was the amber that" | | 15 | "He stepped around the table." | | 16 | "He was close enough now" | | 17 | "She tasted the word" | | 18 | "Her left hand had risen" | | 19 | "He looked down at it" |
| | ratio | 0.542 | |
| 53.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 39 | | totalSentences | 48 | | matches | | 0 | "Rory worked them in order" | | 1 | "Lucien stood on the landing" | | 2 | "The stairwell light caught the" | | 3 | "He inclined his head, a" | | 4 | "She stepped aside because her" | | 5 | "Ptolemy shot between Lucien's polished" | | 6 | "Lucien surveyed the room —" | | 7 | "He did not comment." | | 8 | "That was almost worse." | | 9 | "He set the cane against" | | 10 | "She crossed her arms to" | | 11 | "A small tilt of his" | | 12 | "He walked to the table." | | 13 | "He raised his eyes" | | 14 | "She laughed, short and not" | | 15 | "His voice stayed low; it" | | 16 | "The admission sat between them" | | 17 | "He did not rush to" | | 18 | "That was one of the" | | 19 | "She went to the kitchen" |
| | ratio | 0.813 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 2 | | matches | | 0 | "He inclined his head, a half-bow that was less apology than acknowledgment." | | 1 | "He looked down at it the way he had the first time — not with pity, with attention — and she remembered, with an unwelcome clarity, the feeling of his thumb tra…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 52 | | tagDensity | 0.173 | | leniency | 0.346 | | rawRatio | 0.111 | | effectiveRatio | 0.038 | |