| 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 | 1980 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 97.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1980 | | totalAiIsms | 1 | | found | | | highlights | | |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "room fell silent" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 117 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 117 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 307 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1980 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 86 | | wordCount | 1064 | | uniqueNames | 11 | | maxNameDensity | 3.57 | | worstName | "Eva" | | maxWindowNameDensity | 6.5 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | London | 2 | | Rory | 30 | | Prague | 1 | | Eva | 38 | | West | 1 | | End | 1 | | Silas | 9 | | Cardiff | 1 |
| | persons | | 0 | "Raven" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Silas" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Prague" | | 3 | "West" | | 4 | "End" | | 5 | "Cardiff" |
| | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 87 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1980 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 307 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 258 | | mean | 7.67 | | std | 9.88 | | cv | 1.288 | | sampleLengths | | 0 | 82 | | 1 | 56 | | 2 | 7 | | 3 | 5 | | 4 | 3 | | 5 | 1 | | 6 | 6 | | 7 | 2 | | 8 | 5 | | 9 | 3 | | 10 | 50 | | 11 | 10 | | 12 | 1 | | 13 | 14 | | 14 | 3 | | 15 | 2 | | 16 | 1 | | 17 | 5 | | 18 | 2 | | 19 | 41 | | 20 | 20 | | 21 | 3 | | 22 | 6 | | 23 | 2 | | 24 | 4 | | 25 | 7 | | 26 | 2 | | 27 | 6 | | 28 | 1 | | 29 | 8 | | 30 | 5 | | 31 | 48 | | 32 | 25 | | 33 | 29 | | 34 | 6 | | 35 | 3 | | 36 | 24 | | 37 | 5 | | 38 | 9 | | 39 | 10 | | 40 | 2 | | 41 | 37 | | 42 | 3 | | 43 | 1 | | 44 | 18 | | 45 | 22 | | 46 | 3 | | 47 | 3 | | 48 | 19 | | 49 | 2 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 117 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 173 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 307 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1088 | | adjectiveStacks | 1 | | stackExamples | | 0 | "lay stiff beneath him," |
| | adverbCount | 24 | | adverbRatio | 0.022058823529411766 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 307 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 307 | | mean | 6.45 | | std | 4.92 | | cv | 0.763 | | sampleLengths | | 0 | 17 | | 1 | 24 | | 2 | 5 | | 3 | 26 | | 4 | 10 | | 5 | 12 | | 6 | 7 | | 7 | 8 | | 8 | 12 | | 9 | 17 | | 10 | 7 | | 11 | 5 | | 12 | 3 | | 13 | 1 | | 14 | 6 | | 15 | 2 | | 16 | 5 | | 17 | 3 | | 18 | 8 | | 19 | 11 | | 20 | 7 | | 21 | 9 | | 22 | 15 | | 23 | 6 | | 24 | 4 | | 25 | 1 | | 26 | 14 | | 27 | 3 | | 28 | 2 | | 29 | 1 | | 30 | 5 | | 31 | 2 | | 32 | 5 | | 33 | 7 | | 34 | 6 | | 35 | 6 | | 36 | 17 | | 37 | 5 | | 38 | 15 | | 39 | 3 | | 40 | 6 | | 41 | 2 | | 42 | 4 | | 43 | 7 | | 44 | 2 | | 45 | 6 | | 46 | 1 | | 47 | 8 | | 48 | 5 | | 49 | 10 |
| |
| 42.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 24 | | diversityRatio | 0.18241042345276873 | | totalSentences | 307 | | uniqueOpeners | 56 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 115 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 115 | | matches | | 0 | "His right hand carried a" | | 1 | "His left leg lay stiff" | | 2 | "His eyes stayed on the" | | 3 | "Her hair was black, pinned" | | 4 | "Her eyes moved over the" | | 5 | "They stopped on Rory." | | 6 | "He looked at Eva, then" | | 7 | "He lifted both hands." | | 8 | "He pulled a brass rail" | | 9 | "He stepped aside and let" | | 10 | "She felt the movement as" | | 11 | "His signet ring rested near" | | 12 | "Her touch stayed light, as" | | 13 | "She picked up the cup," | | 14 | "Her nails were short, clean," | | 15 | "It was not softness." | | 16 | "It moved beneath it, the" | | 17 | "Her own eyes were bright" | | 18 | "They had looked the same" | | 19 | "She looked at herself in" |
| | ratio | 0.174 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 106 | | totalSentences | 115 | | matches | | 0 | "The sign threw a pale" | | 1 | "The air tasted of porter," | | 2 | "Silas sorted receipts at the" | | 3 | "His right hand carried a" | | 4 | "Each time he turned a" | | 5 | "His left leg lay stiff" | | 6 | "Silas pulled another receipt flat." | | 7 | "His eyes stayed on the" | | 8 | "Rory lifted the cloth again." | | 9 | "The door opened." | | 10 | "The bell over it gave" | | 11 | "Water ran down a grey" | | 12 | "The woman came in with" | | 13 | "Rain made a small dark" | | 14 | "Her hair was black, pinned" | | 15 | "Her eyes moved over the" | | 16 | "They stopped on Rory." | | 17 | "The name left Rory’s mouth" | | 18 | "Eva’s chin lifted." | | 19 | "Rory’s eyes went over her." |
| | ratio | 0.922 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 115 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 1 | | matches | | 0 | "The sign threw a pale colour across wet footprints outside, as if someone had drawn wings on the pavement and left them to dissolve." |
| |
| 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 | |