| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "she began slowly [slowly]" |
| | dialogueSentences | 44 | | tagDensity | 0.432 | | leniency | 0.864 | | rawRatio | 0.053 | | effectiveRatio | 0.045 | |
| 82.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1114 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "really" | | 1 | "very" | | 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) | |
| 5.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1114 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "trembled" | | 1 | "sanctuary" | | 2 | "pulse" | | 3 | "racing" | | 4 | "shattered" | | 5 | "pounding" | | 6 | "raced" | | 7 | "potential" | | 8 | "stomach" | | 9 | "echoed" | | 10 | "flicked" | | 11 | "unsettled" | | 12 | "measured" | | 13 | "unspoken" | | 14 | "could feel" | | 15 | "otherworldly" | | 16 | "flickered" | | 17 | "weight" | | 18 | "tension" | | 19 | "enigmatic" | | 20 | "encounter" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 71 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1113 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 23.04% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 827 | | uniqueNames | 6 | | maxNameDensity | 2.54 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | London | 2 | | Rory | 21 | | Evan | 20 | | Lucien | 11 | | Moreau | 1 | | Ptolemy | 1 |
| | persons | | 0 | "Rory" | | 1 | "Evan" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Ptolemy" |
| | places | | | globalScore | 0.23 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 1 | | matches | | 0 | "king with, had apparently been keeping an eye" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1113 | | matches | (empty) | |
| 59.14% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 93 | | matches | | 0 | "feeling that fear" | | 1 | "knew that he ignore that debt" |
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| 99.03% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 27.15 | | std | 13.48 | | cv | 0.497 | | sampleLengths | | 0 | 47 | | 1 | 1 | | 2 | 54 | | 3 | 26 | | 4 | 11 | | 5 | 32 | | 6 | 5 | | 7 | 17 | | 8 | 51 | | 9 | 13 | | 10 | 28 | | 11 | 23 | | 12 | 26 | | 13 | 15 | | 14 | 40 | | 15 | 9 | | 16 | 20 | | 17 | 35 | | 18 | 37 | | 19 | 9 | | 20 | 32 | | 21 | 37 | | 22 | 15 | | 23 | 12 | | 24 | 14 | | 25 | 27 | | 26 | 41 | | 27 | 17 | | 28 | 26 | | 29 | 34 | | 30 | 35 | | 31 | 39 | | 32 | 32 | | 33 | 28 | | 34 | 27 | | 35 | 45 | | 36 | 37 | | 37 | 47 | | 38 | 17 | | 39 | 44 | | 40 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 71 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 154 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 93 | | ratio | 0.011 | | matches | | 0 | "The deadbolts on the door, the windows, the fire escape — all potential avenues of escape, if it came to that." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 828 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.030193236714975844 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.014492753623188406 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 11.97 | | std | 6.1 | | cv | 0.51 | | sampleLengths | | 0 | 11 | | 1 | 18 | | 2 | 18 | | 3 | 1 | | 4 | 9 | | 5 | 8 | | 6 | 21 | | 7 | 16 | | 8 | 11 | | 9 | 11 | | 10 | 4 | | 11 | 6 | | 12 | 5 | | 13 | 21 | | 14 | 11 | | 15 | 5 | | 16 | 7 | | 17 | 10 | | 18 | 7 | | 19 | 21 | | 20 | 23 | | 21 | 13 | | 22 | 9 | | 23 | 19 | | 24 | 17 | | 25 | 6 | | 26 | 10 | | 27 | 12 | | 28 | 4 | | 29 | 11 | | 30 | 4 | | 31 | 12 | | 32 | 28 | | 33 | 9 | | 34 | 14 | | 35 | 6 | | 36 | 8 | | 37 | 18 | | 38 | 9 | | 39 | 26 | | 40 | 11 | | 41 | 3 | | 42 | 6 | | 43 | 11 | | 44 | 21 | | 45 | 17 | | 46 | 20 | | 47 | 6 | | 48 | 9 | | 49 | 9 |
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| 63.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3978494623655914 | | totalSentences | 93 | | uniqueOpeners | 37 | |
| 47.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 70 | | matches | | 0 | "Finally, Evan's shoulders slumped in" |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 70 | | matches | | 0 | "His name caught in her" | | 1 | "She'd fled London three years" | | 2 | "His gaze swept over her," | | 3 | "He took a step forward," | | 4 | "she asked, hating how small" | | 5 | "He took another step forward," | | 6 | "He took a step forward," | | 7 | "She didn't know whether to" | | 8 | "he growled, glaring at her" | | 9 | "She knew Evan, knew how" | | 10 | "She met his gaze, grateful" | | 11 | "His eyes narrowed" | | 12 | "she began slowly" | | 13 | "She paused, searching for the" | | 14 | "He reached into his pocket," | | 15 | "She cleared her throat, trying" | | 16 | "He inclined his head" | | 17 | "She glanced down at the" | | 18 | "She had a feeling this" | | 19 | "She wouldn't let Evan drag" |
| | ratio | 0.3 | |
| 67.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 70 | | matches | | 0 | "Rory's fingers trembled as she" | | 1 | "The flat was supposed to" | | 2 | "His name caught in her" | | 3 | "Rory braced herself against the" | | 4 | "She'd fled London three years" | | 5 | "Evan's mouth curved into a" | | 6 | "His gaze swept over her," | | 7 | "Rory's fingers tightened around the" | | 8 | "Evan's tone was casual, but" | | 9 | "He took a step forward," | | 10 | "Evan's eyes narrowed" | | 11 | "Rory's mind raced, cataloging possible" | | 12 | "The deadbolts on the door," | | 13 | "she asked, hating how small" | | 14 | "Evan echoed, his expression darkening" | | 15 | "He took another step forward," | | 16 | "Evan's hand shot out, grabbing" | | 17 | "Rory flinched, the memory of" | | 18 | "Rory jerked her hand away," | | 19 | "The sound of a throat" |
| | ratio | 0.786 | |
| 71.43% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 70 | | matches | | 0 | "As soon as Evan disappeared" |
| | ratio | 0.014 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "She'd fled London three years ago to get away from him, the controlling ex-boyfriend who'd shattered her confidence and her trust." | | 1 | "Evan's mouth curved into a smile that didn't reach his eyes." | | 2 | "Rory could feel the power radiating off Lucien, a subtle undercurrent of otherworldly energy that set her nerves on edge." |
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| 46.05% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 3 | | matches | | 0 | "Evan echoed, his expression darkening" | | 1 | "He took, his heterochromatic eyes boring into Evan" | | 2 | "She cleared, trying to regain her composure" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "he growled (growl)" | | 1 | "he growled (growl)" |
| | dialogueSentences | 44 | | tagDensity | 0.068 | | leniency | 0.136 | | rawRatio | 0.667 | | effectiveRatio | 0.091 | |