| 12.50% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 3 | | adverbTags | | 0 | "The guard's voice rumbled like [like]" | | 1 | "Tomás asked quietly [quietly]" | | 2 | "Quinn advanced steadily [steadily]" |
| | dialogueSentences | 32 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.25 | | effectiveRatio | 0.188 | |
| 94.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1752 | | totalAiIsmAdverbs | 2 | | 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) | |
| 57.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1752 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "gloom" | | 1 | "loomed" | | 2 | "pulse" | | 3 | "quickened" | | 4 | "etched" | | 5 | "weight" | | 6 | "scanned" | | 7 | "rhythmic" | | 8 | "database" | | 9 | "stomach" | | 10 | "firmly" | | 11 | "footsteps" | | 12 | "echoed" | | 13 | "shattered" |
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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 | 141 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 141 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 160 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1752 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1510 | | uniqueNames | 12 | | maxNameDensity | 1.06 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Tomás" | | discoveredNames | | Camden | 2 | | Raven | 1 | | Nest | 1 | | Morris | 5 | | London | 1 | | Tube | 1 | | Underground | 1 | | Quinn | 16 | | Saint | 1 | | Christopher | 1 | | Tomás | 10 | | Herrera | 1 |
| | persons | | 0 | "Morris" | | 1 | "Underground" | | 2 | "Quinn" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Tomás" | | 6 | "Herrera" |
| | places | | | globalScore | 0.97 | | windowScore | 0.833 | |
| 59.91% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 111 | | glossingSentenceCount | 4 | | matches | | 0 | "not quite place, sharp edges worn smooth by years in London" | | 1 | "appeared briefly near a stall at the far end" | | 2 | "looked like fresh bone tokens startled an" | | 3 | "as though reading from her own notebook" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.571 | | wordCount | 1752 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 160 | | matches | | 0 | "chose that moment" | | 1 | "understood that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 35.04 | | std | 19.22 | | cv | 0.549 | | sampleLengths | | 0 | 55 | | 1 | 4 | | 2 | 75 | | 3 | 57 | | 4 | 8 | | 5 | 38 | | 6 | 54 | | 7 | 46 | | 8 | 41 | | 9 | 56 | | 10 | 36 | | 11 | 34 | | 12 | 20 | | 13 | 18 | | 14 | 46 | | 15 | 49 | | 16 | 45 | | 17 | 13 | | 18 | 13 | | 19 | 25 | | 20 | 43 | | 21 | 63 | | 22 | 70 | | 23 | 67 | | 24 | 13 | | 25 | 34 | | 26 | 2 | | 27 | 36 | | 28 | 8 | | 29 | 36 | | 30 | 50 | | 31 | 32 | | 32 | 25 | | 33 | 29 | | 34 | 6 | | 35 | 34 | | 36 | 62 | | 37 | 45 | | 38 | 10 | | 39 | 20 | | 40 | 25 | | 41 | 20 | | 42 | 51 | | 43 | 70 | | 44 | 14 | | 45 | 25 | | 46 | 38 | | 47 | 12 | | 48 | 47 | | 49 | 32 |
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| 97.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 141 | | matches | | 0 | "been seen" | | 1 | "been sealed" | | 2 | "were lined" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 284 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 160 | | ratio | 0.006 | | matches | | 0 | "The scar on his forearm showed briefly as he scrambled over a low wall; she noted it the way she catalogued every detail that might matter in court." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1520 | | adjectiveStacks | 2 | | stackExamples | | 0 | "against sweat-slick skin." | | 1 | "open, revealing concrete steps" |
| | adverbCount | 57 | | adverbRatio | 0.0375 | | lyAdverbCount | 22 | | lyAdverbRatio | 0.014473684210526316 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 160 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 160 | | mean | 10.95 | | std | 6.75 | | cv | 0.617 | | sampleLengths | | 0 | 11 | | 1 | 18 | | 2 | 26 | | 3 | 4 | | 4 | 6 | | 5 | 8 | | 6 | 29 | | 7 | 15 | | 8 | 17 | | 9 | 8 | | 10 | 4 | | 11 | 8 | | 12 | 28 | | 13 | 9 | | 14 | 8 | | 15 | 13 | | 16 | 18 | | 17 | 7 | | 18 | 3 | | 19 | 3 | | 20 | 16 | | 21 | 14 | | 22 | 18 | | 23 | 7 | | 24 | 7 | | 25 | 6 | | 26 | 19 | | 27 | 7 | | 28 | 16 | | 29 | 6 | | 30 | 3 | | 31 | 10 | | 32 | 6 | | 33 | 10 | | 34 | 19 | | 35 | 12 | | 36 | 1 | | 37 | 14 | | 38 | 17 | | 39 | 12 | | 40 | 7 | | 41 | 4 | | 42 | 8 | | 43 | 11 | | 44 | 11 | | 45 | 8 | | 46 | 12 | | 47 | 11 | | 48 | 7 | | 49 | 6 |
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| 61.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.39375 | | totalSentences | 160 | | uniqueOpeners | 63 | |
| 75.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 133 | | matches | | 0 | "Instead she pushed harder, the" | | 1 | "Only that same metallic smell" | | 2 | "Then, in one desperate motion," |
| | ratio | 0.023 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 133 | | matches | | 0 | "She narrowed the gap with" | | 1 | "Her shout bounced off brick" | | 2 | "He kept running, coat flapping" | | 3 | "He kicked a metal bin" | | 4 | "It clattered and rolled." | | 5 | "She vaulted it cleanly, landing" | | 6 | "His voice came ragged between" | | 7 | "She said nothing." | | 8 | "They burst from the alley" | | 9 | "He produced something small, clutched" | | 10 | "He reached the shadowed alcove" | | 11 | "She slammed her shoulder against" | | 12 | "she stated, badge already in" | | 13 | "Her mind flashed to the" | | 14 | "She had dismissed the reports" | | 15 | "She crouched, snatched it up." | | 16 | "She thrust the token toward" | | 17 | "He studied her for a" | | 18 | "She emerged onto what had" | | 19 | "Her training demanded she catalogue" |
| | ratio | 0.233 | |
| 35.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 113 | | totalSentences | 133 | | matches | | 0 | "Quinn's boots hammered the pavement" | | 1 | "She narrowed the gap with" | | 2 | "The man glanced back, his" | | 3 | "Her shout bounced off brick" | | 4 | "He kept running, coat flapping" | | 5 | "Quinn followed, muscles burning from" | | 6 | "The same man whose photograph" | | 7 | "The same man who had" | | 8 | "He kicked a metal bin" | | 9 | "It clattered and rolled." | | 10 | "She vaulted it cleanly, landing" | | 11 | "The scar on his forearm" | | 12 | "His voice came ragged between" | | 13 | "The words carried an accent" | | 14 | "She said nothing." | | 15 | "Talking wasted breath." | | 16 | "They burst from the alley" | | 17 | "A lone street cleaner looked" | | 18 | "The suspect's hand dipped into" | | 19 | "He produced something small, clutched" |
| | ratio | 0.85 | |
| 37.59% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 133 | | matches | | 0 | "Now the same wrongness pressed" |
| | ratio | 0.008 | |
| 43.96% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 65 | | technicalSentenceCount | 9 | | matches | | 0 | "Quinn followed, muscles burning from the long pursuit that had started three streets earlier when she had spotted him slipping out of a side door near the Raven…" | | 1 | "The scar on his forearm showed briefly as he scrambled over a low wall; she noted it the way she catalogued every detail that might matter in court." | | 2 | "Whatever he carried had left residue at her last crime scene, an oily black powder that defied forensic analysis." | | 3 | "The air that escaped carried a scent that made her nostrils flare: incense layered over something metallic and warm." | | 4 | "Vendors displayed their wares openly: small glass vials containing liquids that moved against gravity, bundles of dried herbs that released tiny sparks when tou…" | | 5 | "A woman with unusually long fingers haggled over a silver pendant that bled soft light between her knuckles." | | 6 | "Two men in expensive coats exchanged a leather pouch that emitted a low, rhythmic clicking sound." | | 7 | "Yet this off-books paramedic spoke it as though reading from her own notebook." | | 8 | "Tomás reached out as if to pull her back, but the chamber floor had already begun to shift beneath their feet, tiles sliding apart to reveal something vast and …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 56.25% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "she stated (state)" | | 1 | "she ordered (order)" | | 2 | "he warned (warn)" |
| | dialogueSentences | 32 | | tagDensity | 0.188 | | leniency | 0.375 | | rawRatio | 0.5 | | effectiveRatio | 0.188 | |