| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1171 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "gently" | | 2 | "perfectly" |
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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) | |
| 44.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1171 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulsed" | | 1 | "rhythmic" | | 2 | "throb" | | 3 | "weight" | | 4 | "silence" | | 5 | "traced" | | 6 | "echoed" | | 7 | "sentinels" | | 8 | "lilt" | | 9 | "vibrated" | | 10 | "flicked" | | 11 | "gloom" |
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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 | 114 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 114 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1171 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1146 | | uniqueNames | 15 | | maxNameDensity | 0.26 | | worstName | "London" | | maxWindowNameDensity | 1 | | worstWindowName | "London" | | discoveredNames | | Richmond | 1 | | Park | 1 | | London | 3 | | Heartstone | 3 | | Pendant | 1 | | Grove | 2 | | Yu-Fei | 1 | | Golden | 2 | | Empress | 2 | | Evan | 2 | | Silas | 3 | | Cardiff | 1 | | University | 1 | | Eva | 1 | | Welsh | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Grove" | | 2 | "Yu-Fei" | | 3 | "Evan" | | 4 | "Silas" | | 5 | "University" | | 6 | "Eva" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Golden" | | 4 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like a recording played back throu" |
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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 | 1171 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 27.88 | | std | 23.65 | | cv | 0.848 | | sampleLengths | | 0 | 35 | | 1 | 54 | | 2 | 67 | | 3 | 94 | | 4 | 23 | | 5 | 7 | | 6 | 38 | | 7 | 4 | | 8 | 13 | | 9 | 95 | | 10 | 17 | | 11 | 14 | | 12 | 53 | | 13 | 46 | | 14 | 8 | | 15 | 2 | | 16 | 48 | | 17 | 15 | | 18 | 8 | | 19 | 1 | | 20 | 14 | | 21 | 54 | | 22 | 1 | | 23 | 55 | | 24 | 9 | | 25 | 24 | | 26 | 26 | | 27 | 25 | | 28 | 7 | | 29 | 60 | | 30 | 26 | | 31 | 3 | | 32 | 38 | | 33 | 31 | | 34 | 7 | | 35 | 45 | | 36 | 10 | | 37 | 38 | | 38 | 15 | | 39 | 23 | | 40 | 7 | | 41 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 179 | | matches | | |
| 94.02% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 117 | | ratio | 0.017 | | matches | | 0 | "The sound did not travel through the air; it vibrated in my teeth." | | 1 | "They did not fall; they clung to the bark like insects, their limbs bending at impossible angles." |
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| 76.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1157 | | adjectiveStacks | 4 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "strange large old rectangular black basalt" | | 2 | "intense white-hot heat," | | 3 | "small crescent-shaped scar." |
| | adverbCount | 36 | | adverbRatio | 0.03111495246326707 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.012100259291270527 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 10.01 | | std | 5.96 | | cv | 0.596 | | sampleLengths | | 0 | 18 | | 1 | 17 | | 2 | 8 | | 3 | 23 | | 4 | 16 | | 5 | 7 | | 6 | 13 | | 7 | 17 | | 8 | 10 | | 9 | 5 | | 10 | 22 | | 11 | 6 | | 12 | 5 | | 13 | 20 | | 14 | 8 | | 15 | 24 | | 16 | 7 | | 17 | 24 | | 18 | 18 | | 19 | 5 | | 20 | 7 | | 21 | 5 | | 22 | 10 | | 23 | 2 | | 24 | 21 | | 25 | 4 | | 26 | 4 | | 27 | 9 | | 28 | 11 | | 29 | 17 | | 30 | 22 | | 31 | 23 | | 32 | 17 | | 33 | 3 | | 34 | 2 | | 35 | 4 | | 36 | 13 | | 37 | 2 | | 38 | 12 | | 39 | 3 | | 40 | 8 | | 41 | 16 | | 42 | 11 | | 43 | 15 | | 44 | 8 | | 45 | 12 | | 46 | 8 | | 47 | 18 | | 48 | 7 | | 49 | 1 |
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| 57.55% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.37606837606837606 | | totalSentences | 117 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 100 | | matches | | 0 | "Directly above me, hanging from" | | 1 | "Exactly like her, down to" | | 2 | "Just inches from my face," |
| | ratio | 0.03 | |
| 36.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 100 | | matches | | 0 | "My boots sank into the" | | 1 | "I clutched the silver chain" | | 2 | "It tasted of ancient ozone" | | 3 | "I stepped forward, adjusting the" | | 4 | "It pressed against my eardrums," | | 5 | "I checked my silver watch." | | 6 | "I could not afford to" | | 7 | "I traced the small crescent-shaped" | | 8 | "I froze, lifting my chin." | | 9 | "My gaze swept the gnarled" | | 10 | "My voice sounded flat, swallowed" | | 11 | "I forced my feet to" | | 12 | "I needed to find the" | | 13 | "It burned against my skin" | | 14 | "I spun around." | | 15 | "My bright blue eyes strained" | | 16 | "It stretched at an hostile" | | 17 | "I reached into my coat" | | 18 | "I resisted the urge to" | | 19 | "I followed the metallic tang," |
| | ratio | 0.46 | |
| 30.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 100 | | matches | | 0 | "My boots sank into the" | | 1 | "The Richmond Park fence lay" | | 2 | "I clutched the silver chain" | | 3 | "The small crimson Heartstone Pendant" | | 4 | "Silas said the Grove hid" | | 5 | "It tasted of ancient ozone" | | 6 | "The scent of sweet blooming" | | 7 | "Wildflowers carpeted the clearing, their" | | 8 | "I stepped forward, adjusting the" | | 9 | "The quiet here felt deliberate." | | 10 | "It pressed against my eardrums," | | 11 | "Time behaved strangely in this" | | 12 | "I checked my silver watch." | | 13 | "The delicate second hand dragged" | | 14 | "Silas had warned me about" | | 15 | "An hour in the Grove" | | 16 | "I could not afford to" | | 17 | "I traced the small crescent-shaped" | | 18 | "The skin felt unusually cold." | | 19 | "A sharp click-clack echoed to" |
| | ratio | 0.86 | |
| 50.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 100 | | matches | | 0 | "If his contact had indeed" |
| | ratio | 0.01 | |
| 94.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 4 | | matches | | 0 | "The small crimson Heartstone Pendant pulsed against my collarbone, a tiny rhythmic throb of heat that warned me I had crossed the threshold." | | 1 | "The path began to zigzag around massive root structures that clawed through the earth like arthritic fingers." | | 2 | "The luminescent wildflowers lay crushed, their stems broken and oozing a thick milky sap that mingled with a dark puddle." | | 3 | "Their joint-cracking movements made a dry click-clack sound that filled the grove." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "I whispered (whisper)" | | 1 | "the voice repeated (repeat)" | | 2 | "the voice whispered (whisper)" |
| | dialogueSentences | 7 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0.75 | | effectiveRatio | 0.75 | |