| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1377 | | 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) | |
| 60.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1377 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "echoed" | | 3 | "vibrated" | | 4 | "silence" | | 5 | "echo" | | 6 | "weight" |
| |
| 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 | 158 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 158 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 165 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1377 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1305 | | uniqueNames | 12 | | maxNameDensity | 1.53 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 3 | | Park | 2 | | Eva | 7 | | Rory | 20 | | Golden | 1 | | Empress | 1 | | Cardiff | 1 | | Heathrow | 1 | | Heartstone | 4 | | Thursday | 2 | | Monday | 1 | | Yu-Fei | 4 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Heartstone" | | 3 | "Yu-Fei" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" | | 3 | "Cardiff" | | 4 | "Heathrow" |
| | globalScore | 0.734 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 105 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared beside the message" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1377 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 165 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 73 | | mean | 18.86 | | std | 14.34 | | cv | 0.76 | | sampleLengths | | 0 | 18 | | 1 | 48 | | 2 | 6 | | 3 | 16 | | 4 | 22 | | 5 | 17 | | 6 | 49 | | 7 | 13 | | 8 | 41 | | 9 | 30 | | 10 | 47 | | 11 | 8 | | 12 | 35 | | 13 | 32 | | 14 | 6 | | 15 | 46 | | 16 | 14 | | 17 | 12 | | 18 | 10 | | 19 | 55 | | 20 | 39 | | 21 | 9 | | 22 | 32 | | 23 | 16 | | 24 | 6 | | 25 | 6 | | 26 | 11 | | 27 | 9 | | 28 | 46 | | 29 | 8 | | 30 | 6 | | 31 | 38 | | 32 | 4 | | 33 | 18 | | 34 | 22 | | 35 | 14 | | 36 | 4 | | 37 | 37 | | 38 | 22 | | 39 | 12 | | 40 | 41 | | 41 | 5 | | 42 | 26 | | 43 | 45 | | 44 | 4 | | 45 | 18 | | 46 | 10 | | 47 | 3 | | 48 | 11 | | 49 | 6 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 158 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 212 | | matches | | 0 | "was going" | | 1 | "were still advancing" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 165 | | ratio | 0.006 | | matches | | 0 | "Some stood no higher than her knee; others rose above her head." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1313 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.022086824067022087 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.002284843869002285 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 165 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 165 | | mean | 8.35 | | std | 5.42 | | cv | 0.649 | | sampleLengths | | 0 | 18 | | 1 | 11 | | 2 | 11 | | 3 | 15 | | 4 | 11 | | 5 | 4 | | 6 | 2 | | 7 | 7 | | 8 | 9 | | 9 | 22 | | 10 | 2 | | 11 | 7 | | 12 | 8 | | 13 | 13 | | 14 | 22 | | 15 | 7 | | 16 | 7 | | 17 | 13 | | 18 | 12 | | 19 | 3 | | 20 | 6 | | 21 | 5 | | 22 | 15 | | 23 | 6 | | 24 | 9 | | 25 | 15 | | 26 | 5 | | 27 | 7 | | 28 | 23 | | 29 | 12 | | 30 | 8 | | 31 | 13 | | 32 | 10 | | 33 | 8 | | 34 | 4 | | 35 | 11 | | 36 | 14 | | 37 | 7 | | 38 | 6 | | 39 | 8 | | 40 | 12 | | 41 | 8 | | 42 | 18 | | 43 | 9 | | 44 | 5 | | 45 | 7 | | 46 | 2 | | 47 | 2 | | 48 | 1 | | 49 | 10 |
| |
| 50.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3333333333333333 | | totalSentences | 165 | | uniqueOpeners | 55 | |
| 93.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 143 | | matches | | 0 | "Then they didn’t." | | 1 | "Only the wet compression beneath" | | 2 | "Once, at the edge of" | | 3 | "Then came a wet sound" |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 143 | | matches | | 0 | "Its chain hung from the" | | 1 | "She checked the time." | | 2 | "She slipped through the gate" | | 3 | "She waited for the engine" | | 4 | "She counted to five, switched" | | 5 | "It broke with a wet" | | 6 | "She drew it out by" | | 7 | "Its inner glow did not" | | 8 | "It returned over the flowers." | | 9 | "She coiled the chain once" | | 10 | "She pulled the knot tight," | | 11 | "It opened in front of" | | 12 | "Her voice thinned before it" | | 13 | "she told the clearing" | | 14 | "She walked the boundary with" | | 15 | "Her trainers pressed water from" | | 16 | "Her track lay dark across" | | 17 | "She took two paces and" | | 18 | "She gave each explanation its" | | 19 | "Its top sloped towards the" |
| | ratio | 0.266 | |
| 68.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 112 | | totalSentences | 143 | | matches | | 0 | "Rory arrived at Richmond Park" | | 1 | "The service gate stood open" | | 2 | "Its chain hung from the" | | 3 | "A sign faced the road" | | 4 | "She checked the time." | | 5 | "Eva’s message had asked for" | | 6 | "Rory played it once more" | | 7 | "Eva’s voice, scraped thin around" | | 8 | "The number had been disconnected" | | 9 | "Yu-Fei had watched her take" | | 10 | "Eva had got Rory out" | | 11 | "Rory could cross a park" | | 12 | "She slipped through the gate" | | 13 | "The change came without a" | | 14 | "Rory stopped and looked back." | | 15 | "The gate remained visible between" | | 16 | "Aircraft lights travelled above the" | | 17 | "She waited for the engine" | | 18 | "The lights cleared the oaks" | | 19 | "Rory switched off the torch." |
| | ratio | 0.783 | |
| 69.93% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 143 | | matches | | 0 | "Before crossing between them, she" | | 1 | "Now and then she found" |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 1 | | matches | | 0 | "She pressed the torch against her thigh, shading its glare without switching it off, and let her vision reach into the grey beyond it." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0 | | effectiveRatio | 0 | |