| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1029 | | 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) | |
| 22.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1029 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "pulsed" | | 1 | "echo" | | 2 | "chill" | | 3 | "scanning" | | 4 | "pulse" | | 5 | "otherworldly" | | 6 | "resolve" | | 7 | "weight" | | 8 | "fractured" | | 9 | "beacon" | | 10 | "footsteps" |
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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 | 146 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 146 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 158 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1023 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.20% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 947 | | uniqueNames | 8 | | maxNameDensity | 1.06 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Grove" | | discoveredNames | | Grove | 5 | | Heartstone | 2 | | Hel | 1 | | Isolde | 5 | | Richmond | 1 | | October | 1 | | Except | 2 | | Rory | 10 |
| | persons | | | places | | | globalScore | 0.972 | | windowScore | 1 | |
| 22.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed almost friendly" | | 1 | "quite illuminate anything properly, leaving gaps of shadow that sat too dark, too solid" | | 2 | "quite resolve into a proper shape, as though the darkness had decided to stand upright and think" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.978 | | wordCount | 1023 | | matches | | 0 | "not sap but something darker, something" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 158 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 17.95 | | std | 14.88 | | cv | 0.829 | | sampleLengths | | 0 | 4 | | 1 | 35 | | 2 | 47 | | 3 | 15 | | 4 | 16 | | 5 | 5 | | 6 | 46 | | 7 | 1 | | 8 | 10 | | 9 | 63 | | 10 | 18 | | 11 | 10 | | 12 | 1 | | 13 | 10 | | 14 | 26 | | 15 | 16 | | 16 | 19 | | 17 | 31 | | 18 | 27 | | 19 | 15 | | 20 | 5 | | 21 | 28 | | 22 | 48 | | 23 | 4 | | 24 | 36 | | 25 | 25 | | 26 | 14 | | 27 | 2 | | 28 | 14 | | 29 | 38 | | 30 | 8 | | 31 | 5 | | 32 | 22 | | 33 | 45 | | 34 | 12 | | 35 | 3 | | 36 | 10 | | 37 | 6 | | 38 | 39 | | 39 | 8 | | 40 | 47 | | 41 | 32 | | 42 | 15 | | 43 | 7 | | 44 | 7 | | 45 | 3 | | 46 | 6 | | 47 | 15 | | 48 | 7 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 146 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 172 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 158 | | ratio | 0.013 | | matches | | 0 | "The distant sounds of Richmond—traffic on the A307, the occasional dog bark—cut off as though someone had slammed a door." | | 1 | "Not toward the standing stones—those had vanished, swallowed by the contracting tree line." |
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| 99.19% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 953 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.040923399790136414 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0062959076600209865 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 158 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 158 | | mean | 6.47 | | std | 5.47 | | cv | 0.844 | | sampleLengths | | 0 | 4 | | 1 | 24 | | 2 | 9 | | 3 | 2 | | 4 | 4 | | 5 | 15 | | 6 | 10 | | 7 | 2 | | 8 | 16 | | 9 | 8 | | 10 | 4 | | 11 | 1 | | 12 | 2 | | 13 | 4 | | 14 | 12 | | 15 | 5 | | 16 | 3 | | 17 | 1 | | 18 | 1 | | 19 | 20 | | 20 | 21 | | 21 | 1 | | 22 | 4 | | 23 | 2 | | 24 | 4 | | 25 | 5 | | 26 | 19 | | 27 | 17 | | 28 | 22 | | 29 | 8 | | 30 | 5 | | 31 | 5 | | 32 | 3 | | 33 | 2 | | 34 | 5 | | 35 | 1 | | 36 | 4 | | 37 | 1 | | 38 | 5 | | 39 | 2 | | 40 | 5 | | 41 | 19 | | 42 | 4 | | 43 | 3 | | 44 | 1 | | 45 | 8 | | 46 | 10 | | 47 | 9 | | 48 | 6 | | 49 | 2 |
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| 55.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.379746835443038 | | totalSentences | 158 | | uniqueOpeners | 60 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 108 | | matches | | 0 | "Just shadow between two oaks," | | 1 | "Too many fingers." | | 2 | "Just enough that the gaps" | | 3 | "Just that breathing, steady and" | | 4 | "Then it took a step" | | 5 | "Then started again." |
| | ratio | 0.056 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 108 | | matches | | 0 | "She'd been here twice before," | | 1 | "Her mobile showed 23:47." | | 2 | "She tucked her chin to" | | 3 | "She appeared, unannounced and irritatingly" | | 4 | "Her trainers pressed into moss" | | 5 | "Her voice fell flat." | | 6 | "She'd been here in daylight" | | 7 | "She tapped it." | | 8 | "She moved into the clearing" | | 9 | "Her pulse kicked up." | | 10 | "She touched the pendant through" | | 11 | "Her heel caught on something" | | 12 | "She looked up." | | 13 | "She said it aloud, heard" | | 14 | "Her hand found the pendant," | | 15 | "Her breath misted in front" | | 16 | "She ran for the widest" | | 17 | "Her foot sank into soft" | | 18 | "Her palm came away sticky." | | 19 | "She looked at her hand" |
| | ratio | 0.222 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 108 | | matches | | 0 | "The Grove swallowed sound." | | 1 | "Rory stood at the threshold" | | 2 | "She'd been here twice before," | | 3 | "Her mobile showed 23:47." | | 4 | "The Heartstone pendant beneath her" | | 5 | "She tucked her chin to" | | 6 | "Isolde had sent the message" | | 7 | "She appeared, unannounced and irritatingly" | | 8 | "Rory stepped between the stones." | | 9 | "The air changed." | | 10 | "The distant sounds of Richmond—traffic" | | 11 | "Her trainers pressed into moss" | | 12 | "Her voice fell flat." | | 13 | "The Grove ate it." | | 14 | "The clearing ahead looked wrong." | | 15 | "She'd been here in daylight" | | 16 | "Rory pulled her mobile from" | | 17 | "The screen showed 23:47 still." | | 18 | "The seconds didn't tick over." | | 19 | "She tapped it." |
| | ratio | 0.704 | |
| 46.30% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 108 | | matches | | 0 | "Now the ancient oaks ringed" |
| | ratio | 0.009 | |
| 50.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 4 | | matches | | 0 | "Rory stood at the threshold marked by the ancient oak standing stones, their bark twisted into shapes that hurt to look at too long." | | 1 | "Her trainers pressed into moss that shouldn't exist in October, shouldn't bloom with wildflowers that opened their petals as she passed." | | 2 | "Silver moonlight filtered through in strips that didn't quite illuminate anything properly, leaving gaps of shadow that sat too dark, too solid." | | 3 | "She looked at her hand in the fractured moonlight and saw not sap but something darker, something that moved against her skin like it had a pulse." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0 | | effectiveRatio | 0 | |