| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.475 | | leniency | 0.95 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.49% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1052 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "really" | | 1 | "barely above a whisper" |
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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) | |
| 14.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1052 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | word | "sent shivers down" | | count | 1 |
| | 15 | |
| | highlights | | 0 | "pulse" | | 1 | "clandestine" | | 2 | "chill" | | 3 | "traced" | | 4 | "echoing" | | 5 | "loomed" | | 6 | "etched" | | 7 | "pulsed" | | 8 | "glinting" | | 9 | "scanning" | | 10 | "silk" | | 11 | "weight" | | 12 | "resolve" | | 13 | "whisper" | | 14 | "sent shivers down" | | 15 | "chaotic" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1048 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 46.98% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 728 | | uniqueNames | 5 | | maxNameDensity | 2.06 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 15 | | Raven | 1 | | Nest | 1 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Saint" | | 4 | "Christopher" |
| | places | (empty) | | globalScore | 0.47 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | 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 | 1048 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 58.72% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 24.37 | | std | 8.66 | | cv | 0.356 | | sampleLengths | | 0 | 33 | | 1 | 27 | | 2 | 25 | | 3 | 17 | | 4 | 30 | | 5 | 28 | | 6 | 18 | | 7 | 40 | | 8 | 32 | | 9 | 25 | | 10 | 30 | | 11 | 8 | | 12 | 7 | | 13 | 17 | | 14 | 19 | | 15 | 27 | | 16 | 25 | | 17 | 17 | | 18 | 19 | | 19 | 33 | | 20 | 37 | | 21 | 18 | | 22 | 22 | | 23 | 17 | | 24 | 24 | | 25 | 29 | | 26 | 33 | | 27 | 5 | | 28 | 33 | | 29 | 29 | | 30 | 29 | | 31 | 43 | | 32 | 33 | | 33 | 20 | | 34 | 21 | | 35 | 24 | | 36 | 36 | | 37 | 21 | | 38 | 27 | | 39 | 20 | | 40 | 18 | | 41 | 26 | | 42 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 155 | | matches | (empty) | |
| 49.69% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 92 | | ratio | 0.033 | | matches | | 0 | "Figures melted from the shadows—vendors, cloaked traders, faces illuminated by flickering candles." | | 1 | "One of them—a tall figure draped in a tattered coat—stepped forward, fingers brushing a medallion around his neck." | | 2 | "The clatter intensified, a metallic clang followed by a sharp crack—someone smashed a glass sculpture, spilling glittering shards onto the floor." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 732 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.01912568306010929 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006830601092896175 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 11.39 | | std | 5.03 | | cv | 0.442 | | sampleLengths | | 0 | 23 | | 1 | 10 | | 2 | 11 | | 3 | 16 | | 4 | 16 | | 5 | 9 | | 6 | 4 | | 7 | 13 | | 8 | 16 | | 9 | 14 | | 10 | 13 | | 11 | 15 | | 12 | 10 | | 13 | 8 | | 14 | 11 | | 15 | 13 | | 16 | 16 | | 17 | 7 | | 18 | 13 | | 19 | 12 | | 20 | 11 | | 21 | 6 | | 22 | 8 | | 23 | 17 | | 24 | 13 | | 25 | 8 | | 26 | 4 | | 27 | 3 | | 28 | 12 | | 29 | 5 | | 30 | 10 | | 31 | 9 | | 32 | 13 | | 33 | 14 | | 34 | 12 | | 35 | 13 | | 36 | 6 | | 37 | 11 | | 38 | 9 | | 39 | 10 | | 40 | 8 | | 41 | 6 | | 42 | 6 | | 43 | 13 | | 44 | 8 | | 45 | 7 | | 46 | 14 | | 47 | 8 | | 48 | 13 | | 49 | 5 |
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| 63.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.41304347826086957 | | totalSentences | 92 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 71 | | matches | | 0 | "she barked, voice reverberating off" | | 1 | "he hissed, voice low and" | | 2 | "She pressed forward, one hand" | | 3 | "He yanked the door open," | | 4 | "she shouted, but he was" | | 5 | "She yanked the shelf aside," | | 6 | "she muttered, stepping through" | | 7 | "She swallowed, the watch ticking" | | 8 | "she whispered to herself, muscles" | | 9 | "She lifted the token, the" | | 10 | "she yelled, the words echoing" | | 11 | "He glanced over his shoulder," | | 12 | "He lifted the satchel, a" | | 13 | "Their eyes watched Quinn like" | | 14 | "he asked, nodding at the" | | 15 | "He slipped the medallion into" | | 16 | "She sensed the trap, felt" | | 17 | "she demanded, voice barely above" | | 18 | "she shouted, pistol raised, the" | | 19 | "He lifted his hands, palms" |
| | ratio | 0.282 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 71 | | matches | | 0 | "Quinn’s boots slammed against the" | | 1 | "she barked, voice reverberating off" | | 2 | "The figure in the charcoal" | | 3 | "he hissed, voice low and" | | 4 | "Quinn snapped, advancing, pulse thudding" | | 5 | "The suspect’s mouth twitched." | | 6 | "She pressed forward, one hand" | | 7 | "The man darted toward a" | | 8 | "He yanked the door open," | | 9 | "Quinn surged after him, boots" | | 10 | "she shouted, but he was" | | 11 | "The backroom of The Raven’s" | | 12 | "Neon green screeched above a" | | 13 | "A shadow shifted behind a" | | 14 | "She yanked the shelf aside," | | 15 | "she muttered, stepping through" | | 16 | "The floor gave way to" | | 17 | "She swallowed, the watch ticking" | | 18 | "she whispered to herself, muscles" | | 19 | "a voice croaked from the" |
| | ratio | 0.93 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 7 | | matches | | 0 | "she barked, voice reverberating off the brick façades" | | 1 | "he hissed, voice low and edged with sarcasm" | | 2 | "she whispered, muscles coiling" | | 3 | "she yelled, the words echoing off the vaulted ceiling" | | 4 | "He lifted, a faint glow pulsing from its folds" | | 5 | "Quinn countered, voice low" | | 6 | "she demanded, voice barely above a whisper" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 14 | | fancyTags | | 0 | "she barked (bark)" | | 1 | "he hissed (hiss)" | | 2 | "Quinn snapped (snap)" | | 3 | "she shouted (shout)" | | 4 | "she muttered (mutter)" | | 5 | "she whispered (whisper)" | | 6 | "a voice croaked (croak)" | | 7 | "Quinn snapped (snap)" | | 8 | "she yelled (yell)" | | 9 | "Quinn snapped (snap)" | | 10 | "she demanded (demand)" | | 11 | "the suspect whispered (whisper)" | | 12 | "she shouted (shout)" | | 13 | "A voice whispered (whisper)" |
| | dialogueSentences | 40 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.933 | | effectiveRatio | 0.7 | |