| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1464 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 65.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1464 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulse" | | 1 | "weight" | | 2 | "warmth" | | 3 | "sense of" | | 4 | "trembled" | | 5 | "whisper" | | 6 | "pulsed" | | 7 | "throbbed" |
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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 | 178 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 178 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 184 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1464 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.66% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 1433 | | uniqueNames | 5 | | maxNameDensity | 1.05 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 15 | | Park | 2 | | Richmond | 2 | | London | 1 | | Laila | 1 |
| | persons | | | places | | 0 | "Park" | | 1 | "Richmond" | | 2 | "London" |
| | globalScore | 0.977 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 114 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed flattened against the ground, every stalk bent away from the centre" |
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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 | 1464 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 184 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 81 | | mean | 18.07 | | std | 17.01 | | cv | 0.941 | | sampleLengths | | 0 | 12 | | 1 | 40 | | 2 | 11 | | 3 | 9 | | 4 | 79 | | 5 | 5 | | 6 | 53 | | 7 | 6 | | 8 | 57 | | 9 | 23 | | 10 | 31 | | 11 | 4 | | 12 | 8 | | 13 | 14 | | 14 | 3 | | 15 | 2 | | 16 | 42 | | 17 | 6 | | 18 | 8 | | 19 | 16 | | 20 | 42 | | 21 | 47 | | 22 | 15 | | 23 | 4 | | 24 | 4 | | 25 | 29 | | 26 | 6 | | 27 | 15 | | 28 | 1 | | 29 | 21 | | 30 | 5 | | 31 | 32 | | 32 | 14 | | 33 | 2 | | 34 | 21 | | 35 | 40 | | 36 | 2 | | 37 | 43 | | 38 | 19 | | 39 | 27 | | 40 | 6 | | 41 | 7 | | 42 | 15 | | 43 | 6 | | 44 | 48 | | 45 | 15 | | 46 | 7 | | 47 | 32 | | 48 | 10 | | 49 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 178 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 219 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 184 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 181 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.011049723756906077 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 184 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 184 | | mean | 7.96 | | std | 5.34 | | cv | 0.671 | | sampleLengths | | 0 | 12 | | 1 | 12 | | 2 | 13 | | 3 | 6 | | 4 | 3 | | 5 | 6 | | 6 | 4 | | 7 | 7 | | 8 | 3 | | 9 | 6 | | 10 | 15 | | 11 | 10 | | 12 | 25 | | 13 | 29 | | 14 | 5 | | 15 | 5 | | 16 | 31 | | 17 | 17 | | 18 | 6 | | 19 | 17 | | 20 | 10 | | 21 | 19 | | 22 | 11 | | 23 | 5 | | 24 | 11 | | 25 | 7 | | 26 | 7 | | 27 | 6 | | 28 | 18 | | 29 | 4 | | 30 | 4 | | 31 | 4 | | 32 | 14 | | 33 | 3 | | 34 | 2 | | 35 | 7 | | 36 | 9 | | 37 | 13 | | 38 | 13 | | 39 | 6 | | 40 | 8 | | 41 | 9 | | 42 | 7 | | 43 | 5 | | 44 | 14 | | 45 | 2 | | 46 | 2 | | 47 | 7 | | 48 | 12 | | 49 | 13 |
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| 42.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.21739130434782608 | | totalSentences | 184 | | uniqueOpeners | 40 | |
| 84.39% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 158 | | matches | | 0 | "Instead, she ducked beneath the" | | 1 | "Then the darkness returned." | | 2 | "Then a small laugh rose" | | 3 | "Instead, she faced another row" |
| | ratio | 0.025 | |
| 78.23% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 158 | | matches | | 0 | "She stopped beneath the iron" | | 1 | "Her phone showed 11:47." | | 2 | "She slipped the phone into" | | 3 | "It had started pulsing on" | | 4 | "She had followed it through" | | 5 | "She could have turned back." | | 6 | "They covered the grass from" | | 7 | "Their petals caught the moonlight," | | 8 | "Her blue dot sat just" | | 9 | "She took a picture of" | | 10 | "She held still." | | 11 | "She listened for a second" | | 12 | "she asked it" | | 13 | "Her voice crossed the clearing" | | 14 | "She took one step inside" | | 15 | "Their stems bowed without breaking," | | 16 | "She leaned down and touched" | | 17 | "It felt cool and damp," | | 18 | "Its dirt looked dark and" | | 19 | "She followed it to a" |
| | ratio | 0.354 | |
| 29.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 136 | | totalSentences | 158 | | matches | | 0 | "The gate stood open, though" | | 1 | "She stopped beneath the iron" | | 2 | "Richmond Park’s lamps had dwindled" | | 3 | "Her phone showed 11:47." | | 4 | "The map’s blue dot shivered" | | 5 | "She slipped the phone into" | | 6 | "The crimson stone rested against" | | 7 | "It had started pulsing on" | | 8 | "She had followed it through" | | 9 | "She could have turned back." | | 10 | "The thought arrived with the" | | 11 | "The ancient oaks stood in" | | 12 | "They covered the grass from" | | 13 | "Their petals caught the moonlight," | | 14 | "Aurora checked the screen again." | | 15 | "The map had replaced Richmond" | | 16 | "Her blue dot sat just" | | 17 | "She took a picture of" | | 18 | "The flash lit the clearing" | | 19 | "Aurora lowered the phone." |
| | ratio | 0.861 | |
| 31.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 158 | | matches | | 0 | "Now the pulse had stopped." |
| | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 1 | | matches | | 0 | "A slow scrape, as if something dragged a heavy object over dirt." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.5 | | effectiveRatio | 0.25 | |