| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1024 | | 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) | |
| 41.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1024 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulsed" | | 1 | "flicker" | | 2 | "beacon" | | 3 | "silence" | | 4 | "familiar" | | 5 | "weight" | | 6 | "perfect" | | 7 | "flickered" | | 8 | "raced" | | 9 | "pulse" | | 10 | "flicked" |
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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 | 101 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 101 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1024 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 1022 | | uniqueNames | 7 | | maxNameDensity | 0.98 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 2 | | Pendant | 1 | | London | 1 | | Grove | 1 | | Silas | 1 | | Empress | 1 | | Rory | 10 |
| | persons | | 0 | "Heartstone" | | 1 | "Pendant" | | 2 | "Grove" | | 3 | "Silas" | | 4 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | 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 | 1024 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 101 | | matches | | |
| 52.13% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 13 | | mean | 78.77 | | std | 26.19 | | cv | 0.332 | | sampleLengths | | 0 | 111 | | 1 | 69 | | 2 | 89 | | 3 | 106 | | 4 | 4 | | 5 | 94 | | 6 | 76 | | 7 | 91 | | 8 | 97 | | 9 | 84 | | 10 | 66 | | 11 | 79 | | 12 | 58 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 153 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 101 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1029 | | adjectiveStacks | 1 | | stackExamples | | 0 | "burned hotter near trouble," |
| | adverbCount | 31 | | adverbRatio | 0.03012633624878523 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004859086491739553 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 10.14 | | std | 7.68 | | cv | 0.758 | | sampleLengths | | 0 | 15 | | 1 | 29 | | 2 | 27 | | 3 | 2 | | 4 | 38 | | 5 | 8 | | 6 | 3 | | 7 | 9 | | 8 | 32 | | 9 | 4 | | 10 | 13 | | 11 | 7 | | 12 | 12 | | 13 | 5 | | 14 | 8 | | 15 | 19 | | 16 | 6 | | 17 | 3 | | 18 | 2 | | 19 | 2 | | 20 | 25 | | 21 | 9 | | 22 | 8 | | 23 | 5 | | 24 | 14 | | 25 | 10 | | 26 | 24 | | 27 | 9 | | 28 | 6 | | 29 | 2 | | 30 | 19 | | 31 | 4 | | 32 | 19 | | 33 | 12 | | 34 | 12 | | 35 | 14 | | 36 | 6 | | 37 | 7 | | 38 | 14 | | 39 | 10 | | 40 | 6 | | 41 | 8 | | 42 | 5 | | 43 | 5 | | 44 | 1 | | 45 | 16 | | 46 | 5 | | 47 | 11 | | 48 | 12 | | 49 | 7 |
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| 74.92% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.45544554455445546 | | totalSentences | 101 | | uniqueOpeners | 46 | |
| 78.43% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 85 | | matches | | 0 | "Only one gnarled knee of" | | 1 | "Light bent around them in" |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 85 | | matches | | 0 | "She had tracked that heat" | | 1 | "Her own rough breathing filled" | | 2 | "She spun, knees bent, weight" | | 3 | "She edged sideways along the" | | 4 | "She pressed her palm to" | | 5 | "She ripped her hand away." | | 6 | "She wiped the mess on" | | 7 | "She reached the centre of" | | 8 | "She hooked two fingers under" | | 9 | "She pivoted on one heel." | | 10 | "She crouched and crushed a" | | 11 | "She flicked the residue free" | | 12 | "She forced her shoulders loose," | | 13 | "She had escaped worse doors" | | 14 | "She reached the opposite stones." | | 15 | "She kicked it." | | 16 | "She dug her phone free." | | 17 | "She locked every muscle." | | 18 | "She counted to four and" | | 19 | "She raised the gemstone and" |
| | ratio | 0.247 | |
| 89.41% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 85 | | matches | | 0 | "Rory shoved past the nearest" | | 1 | "The Heartstone Pendant pulsed heat" | | 2 | "She had tracked that heat" | | 3 | "The unknown hand that looped" | | 4 | "Silence hit her like a" | | 5 | "Her own rough breathing filled" | | 6 | "Rory flexed her fingers." | | 7 | "The crescent scar on her" | | 8 | "A dry snap cracked from" | | 9 | "She spun, knees bent, weight" | | 10 | "The soft grass lay unbroken." | | 11 | "She edged sideways along the" | | 12 | "Another snap answered, lighter, further" | | 13 | "Wood under pressure." | | 14 | "The air carried a honey" | | 15 | "She pressed her palm to" | | 16 | "She ripped her hand away." | | 17 | "She wiped the mess on" | | 18 | "The stones formed a perfect" | | 19 | "Rory bolted three paces toward" |
| | ratio | 0.741 | |
| 58.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 85 | | matches | | 0 | "If a door waited here," |
| | ratio | 0.012 | |
| 65.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 5 | | matches | | 0 | "The Heartstone Pendant pulsed heat against her collarbone through the thin fabric of her jumper, the deep crimson gemstone throwing a faint inner glow that stai…" | | 1 | "The unknown hand that looped the silver chain around her neck months ago left no message, only this thumb-sized beacon that burned hotter near trouble, and trou…" | | 2 | "Her own rough breathing filled the hushed circle of grass and wildflowers that bloomed in thick carpets of pinks, whites and buttery yellows, petals open as if …" | | 3 | "The stones formed a perfect ring of six, each trunk wider than her outstretched arms, knotholes darkened into deep sockets that watched her circle." | | 4 | "Yet the blades bent westward in a thin trail, as if something slim and four-legged had just raced free." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |