| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 746 | | totalAiIsmAdverbs | 1 | | 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) | |
| 32.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 746 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "silence" | | 1 | "pulse" | | 2 | "gloom" | | 3 | "vibrated" | | 4 | "pulsed" | | 5 | "tension" |
| |
| 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 | 123 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 123 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 123 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 746 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 733 | | uniqueNames | 7 | | maxNameDensity | 1.09 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Fae | 1 | | Grove | 2 | | Heartstone | 1 | | Richmond | 1 | | Park | 1 | | Aurora | 3 | | Rory | 8 |
| | persons | | | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Richmond" | | 3 | "Park" |
| | globalScore | 0.954 | | windowScore | 0.833 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | |
| 65.95% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.34 | | wordCount | 746 | | matches | | 0 | "Not the tall ones, but the scrub near the ground" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 123 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 17.76 | | std | 21.65 | | cv | 1.219 | | sampleLengths | | 0 | 92 | | 1 | 50 | | 2 | 45 | | 3 | 97 | | 4 | 16 | | 5 | 32 | | 6 | 42 | | 7 | 4 | | 8 | 14 | | 9 | 18 | | 10 | 12 | | 11 | 32 | | 12 | 13 | | 13 | 3 | | 14 | 21 | | 15 | 5 | | 16 | 25 | | 17 | 33 | | 18 | 15 | | 19 | 6 | | 20 | 5 | | 21 | 5 | | 22 | 22 | | 23 | 5 | | 24 | 3 | | 25 | 5 | | 26 | 23 | | 27 | 40 | | 28 | 5 | | 29 | 3 | | 30 | 4 | | 31 | 3 | | 32 | 4 | | 33 | 4 | | 34 | 3 | | 35 | 4 | | 36 | 3 | | 37 | 3 | | 38 | 17 | | 39 | 3 | | 40 | 3 | | 41 | 4 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 123 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 142 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 123 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 733 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 16 | | adverbRatio | 0.021828103683492497 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002728512960436562 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 123 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 123 | | mean | 6.07 | | std | 4.08 | | cv | 0.673 | | sampleLengths | | 0 | 9 | | 1 | 19 | | 2 | 11 | | 3 | 13 | | 4 | 9 | | 5 | 13 | | 6 | 18 | | 7 | 6 | | 8 | 8 | | 9 | 13 | | 10 | 2 | | 11 | 8 | | 12 | 3 | | 13 | 10 | | 14 | 7 | | 15 | 2 | | 16 | 9 | | 17 | 7 | | 18 | 7 | | 19 | 13 | | 20 | 7 | | 21 | 3 | | 22 | 12 | | 23 | 4 | | 24 | 5 | | 25 | 3 | | 26 | 5 | | 27 | 2 | | 28 | 9 | | 29 | 19 | | 30 | 21 | | 31 | 7 | | 32 | 7 | | 33 | 5 | | 34 | 2 | | 35 | 2 | | 36 | 5 | | 37 | 10 | | 38 | 4 | | 39 | 4 | | 40 | 2 | | 41 | 7 | | 42 | 22 | | 43 | 3 | | 44 | 3 | | 45 | 1 | | 46 | 6 | | 47 | 7 | | 48 | 4 | | 49 | 9 |
| |
| 35.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.2926829268292683 | | totalSentences | 123 | | uniqueOpeners | 36 | |
| 62.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 106 | | matches | | 0 | "Only deep violet shadows stretched" | | 1 | "Just the mist." |
| | ratio | 0.019 | |
| 95.47% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 106 | | matches | | 0 | "Her boots crunched on moss" | | 1 | "She adjusted the silver chain" | | 2 | "She didn't turn." | | 3 | "It meant the wrong things" | | 4 | "She didn't blink." | | 5 | "They should be dormant." | | 6 | "She looked at the pendant." | | 7 | "It came from the trees." | | 8 | "They had shifted." | | 9 | "It vibrated in the air." | | 10 | "Her blue eyes darted around" | | 11 | "She didn't see them." | | 12 | "She touched her pocket" | | 13 | "It fell without making sound." | | 14 | "She didn't react." | | 15 | "She held her breath." | | 16 | "She felt the heat of" | | 17 | "It was hot." | | 18 | "It sat behind her again" | | 19 | "She looked at the trees." |
| | ratio | 0.311 | |
| 26.04% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 106 | | matches | | 0 | "Night swallowed the edges of" | | 1 | "Darkness dragged its heavy fingers" | | 2 | "Aurora stepped past the ancient" | | 3 | "Her boots crunched on moss" | | 4 | "She adjusted the silver chain" | | 5 | "The Heartstone pendant lay heavy" | | 6 | "The crimson gem inside swallowed" | | 7 | "Rory kept her blue eyes" | | 8 | "A patch of something moved" | | 9 | "She didn't turn." | | 10 | "A cell phone buzzed in" | | 11 | "It meant the wrong things" | | 12 | "The phone was quiet because" | | 13 | "Aurora pulled the air from" | | 14 | "She didn't blink." | | 15 | "The wildflowers next to her" | | 16 | "They should be dormant." | | 17 | "Here, time split." | | 18 | "She looked at the pendant." | | 19 | "A vibration that rattled the" |
| | ratio | 0.868 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 1 | | matches | | 0 | "The flowers bent like they were pointing at something that stood behind her." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |