| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1315 | | 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) | |
| 20.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1315 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "flickered" | | 1 | "weight" | | 2 | "echo" | | 3 | "silence" | | 4 | "footfall" | | 5 | "pulse" | | 6 | "velvet" | | 7 | "chill" | | 8 | "charged" | | 9 | "stomach" | | 10 | "echoed" | | 11 | "sentinel" | | 12 | "dance" | | 13 | "vibrated" | | 14 | "calculating" |
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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 | 181 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 181 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 188 | | 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 | 1310 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.58% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1263 | | uniqueNames | 12 | | maxNameDensity | 1.11 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Pendant | 1 | | London | 3 | | December | 1 | | Golden | 1 | | Empress | 1 | | Eva | 5 | | Rory | 14 | | Evan | 1 | | Cardiff | 1 |
| | persons | | 0 | "Pendant" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Evan" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "December" | | 4 | "Golden" | | 5 | "Cardiff" |
| | globalScore | 0.946 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like velvet laid over bone" |
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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 | 1310 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 188 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 29.77 | | std | 28.37 | | cv | 0.953 | | sampleLengths | | 0 | 61 | | 1 | 3 | | 2 | 53 | | 3 | 11 | | 4 | 13 | | 5 | 94 | | 6 | 103 | | 7 | 5 | | 8 | 33 | | 9 | 2 | | 10 | 1 | | 11 | 6 | | 12 | 52 | | 13 | 5 | | 14 | 77 | | 15 | 35 | | 16 | 5 | | 17 | 56 | | 18 | 38 | | 19 | 4 | | 20 | 50 | | 21 | 13 | | 22 | 17 | | 23 | 7 | | 24 | 3 | | 25 | 51 | | 26 | 42 | | 27 | 2 | | 28 | 1 | | 29 | 64 | | 30 | 69 | | 31 | 7 | | 32 | 11 | | 33 | 7 | | 34 | 64 | | 35 | 22 | | 36 | 51 | | 37 | 3 | | 38 | 82 | | 39 | 23 | | 40 | 24 | | 41 | 3 | | 42 | 31 | | 43 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 181 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 224 | | matches | (empty) | |
| 97.26% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 188 | | ratio | 0.016 | | matches | | 0 | "When she stepped past the boundary stones—gnarled behemoths that looked less like markers and more like frozen giants—air entered her lungs with a weight." | | 1 | "The timestamp on Eva's last message—sent just before Rory had left the flat above Silas' bar—read 23:02." | | 2 | "The limbs hung slack, fingers—if they were fingers— brushing the tops of the white petals without bending the stems." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 525 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.009523809523809525 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 188 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 188 | | mean | 6.97 | | std | 4.77 | | cv | 0.684 | | sampleLengths | | 0 | 11 | | 1 | 17 | | 2 | 14 | | 3 | 17 | | 4 | 2 | | 5 | 3 | | 6 | 6 | | 7 | 24 | | 8 | 7 | | 9 | 12 | | 10 | 4 | | 11 | 11 | | 12 | 4 | | 13 | 3 | | 14 | 6 | | 15 | 3 | | 16 | 20 | | 17 | 3 | | 18 | 11 | | 19 | 7 | | 20 | 6 | | 21 | 20 | | 22 | 9 | | 23 | 15 | | 24 | 7 | | 25 | 14 | | 26 | 14 | | 27 | 6 | | 28 | 7 | | 29 | 8 | | 30 | 10 | | 31 | 5 | | 32 | 18 | | 33 | 8 | | 34 | 6 | | 35 | 5 | | 36 | 2 | | 37 | 8 | | 38 | 16 | | 39 | 4 | | 40 | 1 | | 41 | 1 | | 42 | 1 | | 43 | 2 | | 44 | 1 | | 45 | 6 | | 46 | 2 | | 47 | 3 | | 48 | 16 | | 49 | 3 |
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| 39.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.25 | | totalSentences | 188 | | uniqueOpeners | 47 | |
| 61.35% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 163 | | matches | | 0 | "Even the cold had fled." | | 1 | "Then a click came." | | 2 | "Then a third." |
| | ratio | 0.018 | |
| 75.21% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 59 | | totalSentences | 163 | | matches | | 0 | "She unclipped it from inside" | | 1 | "Her voice fell flat." | | 2 | "It lacked echo." | | 3 | "She moved deeper." | | 4 | "She held the silver chain" | | 5 | "She walked on grass that" | | 6 | "Her boots sank without sound," | | 7 | "It cast the clearing in" | | 8 | "She did not stop to" | | 9 | "She wiped her palm against" | | 10 | "It had pulled her across" | | 11 | "She had bled a little" | | 12 | "She counted her heartbeats." | | 13 | "It dragged her another three" | | 14 | "Her fingers brushed a petal." | | 15 | "It felt like velvet laid" | | 16 | "She checked her phone." | | 17 | "She entered the park at" | | 18 | "She had charged it before" | | 19 | "She could buy that." |
| | ratio | 0.362 | |
| 36.69% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 138 | | totalSentences | 163 | | matches | | 0 | "Rory's bike locked to the" | | 1 | "The Heartstone Pendant seared a" | | 2 | "She unclipped it from inside" | | 3 | "The deep crimson gemstone flickered" | | 4 | "The grove breathed." | | 5 | "That was the first wrong" | | 6 | "The scent of wildflowers clotted" | | 7 | "Rory ran a thumb over" | | 8 | "The skin there prickled." | | 9 | "Her voice fell flat." | | 10 | "It lacked echo." | | 11 | "The silence ate the words" | | 12 | "She moved deeper." | | 13 | "She held the silver chain" | | 14 | "The oaks burned with leaves" | | 15 | "She walked on grass that" | | 16 | "Her boots sank without sound," | | 17 | "The moon hung low, bloated" | | 18 | "It cast the clearing in" | | 19 | "She did not stop to" |
| | ratio | 0.847 | |
| 30.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 163 | | matches | | 0 | "If Eva had walked these" |
| | ratio | 0.006 | |
| 14.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 7 | | matches | | 0 | "When she stepped past the boundary stones—gnarled behemoths that looked less like markers and more like frozen giants—air entered her lungs with a weight." | | 1 | "She held the silver chain in one hand, the other brushing thigh-length grass that had no business growing in London." | | 2 | "It cast the clearing in a light that bleached the color from her hands." | | 3 | "It had pulled her across the park, past the pond, through bramble thickets that tore her delivery jacket." | | 4 | "The air held a temperature that matched her feverish skin, a closeness that felt less like atmosphere and more like a throat preparing to swallow." | | 5 | "Its head tilted at an angle that disconnected neck from spine." | | 6 | "It had no shoulders, only a slope that connected neck to arm in one uninterrupted line." |
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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 | |