| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1069 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 57.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1069 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "echo" | | 1 | "warmth" | | 2 | "stomach" | | 3 | "footsteps" | | 4 | "pulsed" | | 5 | "mechanical" | | 6 | "absolutely" |
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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 | 99 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 99 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1069 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 950 | | uniqueNames | 10 | | maxNameDensity | 0.42 | | worstName | "Eva" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | November | 2 | | Richmond | 1 | | Park | 1 | | Isolde | 2 | | Fae | 2 | | Wildflowers | 2 | | Hush-hush-hush | 1 | | London | 1 | | Peckham | 1 | | Eva | 4 |
| | persons | | 0 | "Isolde" | | 1 | "Wildflowers" | | 2 | "Hush-hush-hush" | | 3 | "Eva" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Peckham" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1069 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 111 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 24.86 | | std | 20.56 | | cv | 0.827 | | sampleLengths | | 0 | 11 | | 1 | 41 | | 2 | 12 | | 3 | 10 | | 4 | 71 | | 5 | 60 | | 6 | 8 | | 7 | 58 | | 8 | 10 | | 9 | 19 | | 10 | 33 | | 11 | 11 | | 12 | 37 | | 13 | 15 | | 14 | 14 | | 15 | 31 | | 16 | 17 | | 17 | 3 | | 18 | 69 | | 19 | 23 | | 20 | 55 | | 21 | 36 | | 22 | 3 | | 23 | 41 | | 24 | 7 | | 25 | 1 | | 26 | 40 | | 27 | 1 | | 28 | 28 | | 29 | 23 | | 30 | 3 | | 31 | 30 | | 32 | 34 | | 33 | 9 | | 34 | 59 | | 35 | 28 | | 36 | 8 | | 37 | 4 | | 38 | 67 | | 39 | 8 | | 40 | 24 | | 41 | 1 | | 42 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 99 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 176 | | matches | | 0 | "was holding" | | 1 | "was looking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 111 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 961 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.030176899063475548 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009365244536940686 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 9.63 | | std | 8.64 | | cv | 0.897 | | sampleLengths | | 0 | 11 | | 1 | 15 | | 2 | 2 | | 3 | 24 | | 4 | 8 | | 5 | 4 | | 6 | 10 | | 7 | 26 | | 8 | 3 | | 9 | 19 | | 10 | 23 | | 11 | 5 | | 12 | 23 | | 13 | 5 | | 14 | 5 | | 15 | 22 | | 16 | 8 | | 17 | 6 | | 18 | 13 | | 19 | 21 | | 20 | 1 | | 21 | 2 | | 22 | 15 | | 23 | 3 | | 24 | 7 | | 25 | 4 | | 26 | 5 | | 27 | 10 | | 28 | 14 | | 29 | 3 | | 30 | 16 | | 31 | 4 | | 32 | 7 | | 33 | 8 | | 34 | 19 | | 35 | 5 | | 36 | 5 | | 37 | 9 | | 38 | 6 | | 39 | 7 | | 40 | 7 | | 41 | 8 | | 42 | 23 | | 43 | 17 | | 44 | 2 | | 45 | 1 | | 46 | 3 | | 47 | 10 | | 48 | 6 | | 49 | 16 |
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| 67.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4594594594594595 | | totalSentences | 111 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 76 | | matches | | 0 | "Somewhere to my left, past" | | 1 | "Then, from behind the oak," | | 2 | "Fully, absolutely cold, and the" |
| | ratio | 0.039 | |
| 93.68% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 76 | | matches | | 0 | "I stopped, hand pressed flat" | | 1 | "I told the grove" | | 2 | "I'd come for the ledger." | | 3 | "My name was in it." | | 4 | "She just hadn't come to" | | 5 | "I walked the grove's perimeter" | | 6 | "I touched one to be" | | 7 | "My voice didn't echo." | | 8 | "It wasn't there." | | 9 | "I crouched over the daisies" | | 10 | "I hadn't heard it land." | | 11 | "I stood, turned a slow" | | 12 | "I didn't look." | | 13 | "I kept my gaze forward" | | 14 | "I called out" | | 15 | "It paused directly behind the" | | 16 | "I backed toward the stone" | | 17 | "My heel caught the daisy" | | 18 | "My actual name, the one" | | 19 | "I pressed my lips together" |
| | ratio | 0.316 | |
| 38.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 76 | | matches | | 0 | "The pendant started pulsing before" | | 1 | "I stopped, hand pressed flat" | | 2 | "The crimson gem thumped against" | | 3 | "I told the grove" | | 4 | "The grove said nothing back," | | 5 | "Wildflowers closed around my boots," | | 6 | "Here, nothing frosted." | | 7 | "Here, the air tasted of" | | 8 | "I'd come for the ledger." | | 9 | "Isolde's ledger, the one recording" | | 10 | "Yu-Fei's name was in it." | | 11 | "My name was in it." | | 12 | "She just hadn't come to" | | 13 | "I walked the grove's perimeter" | | 14 | "The oaks stood in their" | | 15 | "I touched one to be" | | 16 | "My voice didn't echo." | | 17 | "That was clue number two." | | 18 | "The ledger was supposed to" | | 19 | "It wasn't there." |
| | ratio | 0.842 | |
| 65.79% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 76 | | matches | | 0 | "Now it was holding its" |
| | ratio | 0.013 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 8 | | matches | | 0 | "The grove said nothing back, which was my first clue." | | 1 | "Here, the air tasted of honey and turned earth, sweet in a way that made my back teeth ache." | | 2 | "Silver moonlight pooled between the ancient stones, and I could see my breath in it, which was strange, because the air wasn't cold." | | 3 | "Isolde's ledger, the one recording every debt owed to her by every fool who'd wandered in off the dog-walking paths over the centuries." | | 4 | "The sound of something large moving through undergrowth that wasn't there, that had no undergrowth to move through, a soft dragging hush-hush-hush circling the …" | | 5 | "The insects that had been singing a thin thread of song since I arrived, singing without pause, went silent all at once, the way a room goes quiet when someone …" | | 6 | "A dark thread wound through the grass at my feet, seeping from the crushed daisies, spreading toward my boots with purpose, pooling around them in a ring." | | 7 | "Tall, wrong-jointed, patient, dozens of them, waiting at the boundary like an audience that had already paid for its tickets." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |