| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 1 | | adverbTags | | 0 | "The figure's voice seemed almost [almost]" |
| | dialogueSentences | 95 | | tagDensity | 0.263 | | leniency | 0.526 | | rawRatio | 0.04 | | effectiveRatio | 0.021 | |
| 92.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1943 | | totalAiIsmAdverbs | 3 | | 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) | |
| 74.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1943 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "echoed" | | 1 | "footsteps" | | 2 | "silence" | | 3 | "grave" | | 4 | "could feel" | | 5 | "absolutely" | | 6 | "weight" |
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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 | 155 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 155 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 221 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1943 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 31.49% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1097 | | uniqueNames | 13 | | maxNameDensity | 2.37 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | High | 1 | | Street | 1 | | Quinn | 26 | | Morris | 8 | | Greek | 1 | | Uncertainty | 1 | | Old | 1 | | Veil | 1 | | Silence | 1 | | Interest | 1 | | Close | 1 | | Bermondsey | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Old" | | 3 | "Veil" | | 4 | "Close" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Bermondsey" |
| | globalScore | 0.315 | | windowScore | 0.333 | |
| 56.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 3 | | matches | | 0 | "Murder was apparently something even the" | | 1 | "seemed wrong on a body that shape" | | 2 | "seemed almost pleased" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1943 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 221 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 112 | | mean | 17.35 | | std | 12.53 | | cv | 0.722 | | sampleLengths | | 0 | 18 | | 1 | 35 | | 2 | 39 | | 3 | 19 | | 4 | 3 | | 5 | 31 | | 6 | 37 | | 7 | 27 | | 8 | 11 | | 9 | 17 | | 10 | 4 | | 11 | 21 | | 12 | 2 | | 13 | 12 | | 14 | 22 | | 15 | 7 | | 16 | 7 | | 17 | 14 | | 18 | 58 | | 19 | 12 | | 20 | 3 | | 21 | 17 | | 22 | 8 | | 23 | 9 | | 24 | 5 | | 25 | 13 | | 26 | 21 | | 27 | 13 | | 28 | 60 | | 29 | 24 | | 30 | 25 | | 31 | 12 | | 32 | 8 | | 33 | 4 | | 34 | 1 | | 35 | 31 | | 36 | 19 | | 37 | 15 | | 38 | 26 | | 39 | 17 | | 40 | 3 | | 41 | 34 | | 42 | 16 | | 43 | 7 | | 44 | 23 | | 45 | 5 | | 46 | 35 | | 47 | 6 | | 48 | 18 | | 49 | 29 |
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| 96.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 155 | | matches | | 0 | "been carved" | | 1 | "been allowed" | | 2 | "being told" | | 3 | "been targeted" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 196 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 221 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 768 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.022135416666666668 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009114583333333334 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 221 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 221 | | mean | 8.79 | | std | 7.6 | | cv | 0.865 | | sampleLengths | | 0 | 11 | | 1 | 7 | | 2 | 15 | | 3 | 15 | | 4 | 5 | | 5 | 12 | | 6 | 11 | | 7 | 1 | | 8 | 1 | | 9 | 1 | | 10 | 13 | | 11 | 7 | | 12 | 3 | | 13 | 2 | | 14 | 7 | | 15 | 3 | | 16 | 6 | | 17 | 13 | | 18 | 1 | | 19 | 2 | | 20 | 9 | | 21 | 16 | | 22 | 3 | | 23 | 14 | | 24 | 4 | | 25 | 6 | | 26 | 10 | | 27 | 1 | | 28 | 1 | | 29 | 9 | | 30 | 10 | | 31 | 1 | | 32 | 8 | | 33 | 9 | | 34 | 2 | | 35 | 2 | | 36 | 16 | | 37 | 5 | | 38 | 2 | | 39 | 12 | | 40 | 5 | | 41 | 9 | | 42 | 8 | | 43 | 7 | | 44 | 4 | | 45 | 3 | | 46 | 9 | | 47 | 1 | | 48 | 2 | | 49 | 2 |
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| 69.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.45248868778280543 | | totalSentences | 221 | | uniqueOpeners | 100 | |
| 55.56% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 120 | | matches | | 0 | "Then the tall figure spoke" | | 1 | "Then it nodded, a gesture" |
| | ratio | 0.017 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 120 | | matches | | 0 | "She burst onto Camden High" | | 1 | "She emerged into the derelict" | | 2 | "Her torch cut through the" | | 3 | "He held up his wrist," | | 4 | "His smile faltered." | | 5 | "She would have respected the" | | 6 | "Her partner had been carved" | | 7 | "She holstered her weapon and" | | 8 | "She reached into her coat" | | 9 | "It wasn't a nice smile." | | 10 | "She looked at the suspect" | | 11 | "He looked back at her" | | 12 | "She thought about the girl" | | 13 | "She thought about the bone" | | 14 | "It drifted closer again, close" | | 15 | "She pulled the token from" | | 16 | "She didn't care." | | 17 | "It was hard to tell." |
| | ratio | 0.15 | |
| 47.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 99 | | totalSentences | 120 | | matches | | 0 | "The suspect cut left through" | | 1 | "Quinn vaulted the counter without" | | 2 | "This one had different ideas." | | 3 | "She burst onto Camden High" | | 4 | "The figure ahead ducked into" | | 5 | "The bone token glinted at" | | 6 | "Quinn had seen tokens like" | | 7 | "Crime scene photographs." | | 8 | "The suspect disappeared into the" | | 9 | "Quinn followed, hand on her" | | 10 | "These old stations never worked" | | 11 | "She emerged into the derelict" | | 12 | "Council blamed squatters." | | 13 | "The police report mentioned something" | | 14 | "Everyone pretended they didn't." | | 15 | "Her torch cut through the" | | 16 | "Graffiti covered every surface, but" | | 17 | "The suspect had stopped at" | | 18 | "Quinn's voice echoed through the" | | 19 | "He held up his wrist," |
| | ratio | 0.825 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 120 | | matches | (empty) | | ratio | 0 | |
| 75.89% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 3 | | matches | | 0 | "She would have respected the boundaries, the protocols, the thin blue line that kept the supernatural and the mundane neatly separated." | | 1 | "About every choice that had led her to this moment, standing in an abandoned tube station surrounded by things that shouldn't exist, holding a suspect's arm and…" | | 2 | "Quinn dragged the suspect toward the exit, the token burning cold against her palm, the weight of her choice settling into her bones like the first drops of rai…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 1 | | matches | | 0 | "He held up, the bone token catching the torchlight" |
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| 97.37% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 5 | | fancyTags | | 0 | "The police report (report)" | | 1 | "the suspect continued (continue)" | | 2 | "them spoke (speak)" | | 3 | "he whispered (whisper)" | | 4 | "the figure repeated (repeat)" |
| | dialogueSentences | 95 | | tagDensity | 0.095 | | leniency | 0.189 | | rawRatio | 0.556 | | effectiveRatio | 0.105 | |