| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1924 | | 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) | |
| 89.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1924 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "pulse" | | 1 | "trembled" | | 2 | "pulsed" | | 3 | "stomach" |
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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 | 200 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 200 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 213 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1924 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.83% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1861 | | uniqueNames | 3 | | maxNameDensity | 1.34 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | | | globalScore | 0.828 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 157 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a coat sleeve" |
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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 | 1924 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 213 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 95 | | mean | 20.25 | | std | 15.16 | | cv | 0.749 | | sampleLengths | | 0 | 15 | | 1 | 45 | | 2 | 50 | | 3 | 38 | | 4 | 8 | | 5 | 14 | | 6 | 13 | | 7 | 6 | | 8 | 20 | | 9 | 1 | | 10 | 5 | | 11 | 53 | | 12 | 14 | | 13 | 7 | | 14 | 39 | | 15 | 14 | | 16 | 23 | | 17 | 5 | | 18 | 1 | | 19 | 58 | | 20 | 8 | | 21 | 40 | | 22 | 11 | | 23 | 38 | | 24 | 4 | | 25 | 26 | | 26 | 1 | | 27 | 15 | | 28 | 31 | | 29 | 17 | | 30 | 7 | | 31 | 7 | | 32 | 3 | | 33 | 19 | | 34 | 31 | | 35 | 6 | | 36 | 37 | | 37 | 4 | | 38 | 60 | | 39 | 9 | | 40 | 31 | | 41 | 5 | | 42 | 10 | | 43 | 23 | | 44 | 2 | | 45 | 21 | | 46 | 11 | | 47 | 53 | | 48 | 25 | | 49 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 200 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 318 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 213 | | ratio | 0.009 | | matches | | 0 | "In the photograph, the brass key to the flat pointed towards the bag; the green plastic fob lay beneath it." | | 1 | "Mud coated the brass key; the fish opener had lost another flake of paint." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1862 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.022556390977443608 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0010741138560687433 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 213 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 213 | | mean | 9.03 | | std | 4.87 | | cv | 0.54 | | sampleLengths | | 0 | 15 | | 1 | 13 | | 2 | 6 | | 3 | 26 | | 4 | 15 | | 5 | 15 | | 6 | 20 | | 7 | 8 | | 8 | 9 | | 9 | 21 | | 10 | 8 | | 11 | 14 | | 12 | 4 | | 13 | 9 | | 14 | 6 | | 15 | 6 | | 16 | 14 | | 17 | 1 | | 18 | 5 | | 19 | 9 | | 20 | 10 | | 21 | 12 | | 22 | 9 | | 23 | 13 | | 24 | 14 | | 25 | 7 | | 26 | 9 | | 27 | 12 | | 28 | 10 | | 29 | 8 | | 30 | 14 | | 31 | 3 | | 32 | 12 | | 33 | 8 | | 34 | 2 | | 35 | 3 | | 36 | 1 | | 37 | 6 | | 38 | 14 | | 39 | 6 | | 40 | 6 | | 41 | 26 | | 42 | 8 | | 43 | 10 | | 44 | 11 | | 45 | 10 | | 46 | 9 | | 47 | 11 | | 48 | 6 | | 49 | 14 |
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| 45.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.19718309859154928 | | totalSentences | 213 | | uniqueOpeners | 42 | |
| 17.01% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 196 | | matches | | | ratio | 0.005 | |
| 66.94% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 75 | | totalSentences | 196 | | matches | | 0 | "They stood among the trees" | | 1 | "She had noticed those on" | | 2 | "She lifted her phone and" | | 3 | "Her keys sat on the" | | 4 | "She had picked them up" | | 5 | "She remembered opening the bar’s" | | 6 | "She angled the camera down" | | 7 | "She pushed two fingers through" | | 8 | "She stepped between the posts." | | 9 | "She remembered crouching to touch" | | 10 | "She went to the same" | | 11 | "She turned, placed the posts" | | 12 | "Its roots rose through the" | | 13 | "She crouched beside them and" | | 14 | "She stopped it, slipped the" | | 15 | "She found a crisp packet" | | 16 | "She stood and moved to" | | 17 | "She followed the flattened strip" | | 18 | "Her footprints crossed it, the" | | 19 | "She recognized the worn corner" |
| | ratio | 0.383 | |
| 26.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 170 | | totalSentences | 196 | | matches | | 0 | "Rory found the path by" | | 1 | "They stood among the trees" | | 2 | "She had noticed those on" | | 3 | "She lifted her phone and" | | 4 | "Her keys sat on the" | | 5 | "She had picked them up" | | 6 | "She remembered opening the bar’s" | | 7 | "Rory held her phone up" | | 8 | "The recording timer started." | | 9 | "She angled the camera down" | | 10 | "She pushed two fingers through" | | 11 | "The tear had opened along" | | 12 | "She stepped between the posts." | | 13 | "The air smelled of wet" | | 14 | "Rory had stopped to look" | | 15 | "She remembered crouching to touch" | | 16 | "She went to the same" | | 17 | "She turned, placed the posts" | | 18 | "Its roots rose through the" | | 19 | "She crouched beside them and" |
| | ratio | 0.867 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 196 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 86 | | technicalSentenceCount | 1 | | matches | | 0 | "She remembered crouching to touch one, her coat pulling tight across her hips." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |