| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 75.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1028 | | totalAiIsmAdverbs | 5 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | | | 3 | |
| | highlights | | 0 | "deliberately" | | 1 | "very" | | 2 | "slightly" | | 3 | "softly" |
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| 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) | |
| 75.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1028 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "perfect" | | 1 | "weight" | | 2 | "pulsed" | | 3 | "stomach" |
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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 | 1 | | narrationSentences | 113 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 113 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 39 | | totalWords | 1028 | | ratio | 0.038 | | matches | | 0 | "don't ask, don't drop it, don't eat it" | | 1 | "if you hear a sound from somewhere you can't see, don't look. Looking is agreement. Looking is an invitation." | | 2 | "Don't look. Looking is agreement." | | 3 | "Count the facts, Rory. Facts don't panic." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1001 | | uniqueNames | 11 | | maxNameDensity | 0.5 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 3 | | Hel | 1 | | Isolde | 4 | | Rory | 5 | | Rome | 1 | | Fae-adjacent | 1 | | Silas | 1 | | Three | 2 | | Aurora | 1 | | Looking | 3 | | One | 3 |
| | persons | | 0 | "Hel" | | 1 | "Isolde" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Three" | | 5 | "One" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a wire pulled from a freezer" |
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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 | 1028 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 25.07 | | std | 23.41 | | cv | 0.934 | | sampleLengths | | 0 | 4 | | 1 | 94 | | 2 | 5 | | 3 | 61 | | 4 | 46 | | 5 | 62 | | 6 | 1 | | 7 | 5 | | 8 | 55 | | 9 | 12 | | 10 | 26 | | 11 | 45 | | 12 | 3 | | 13 | 48 | | 14 | 45 | | 15 | 15 | | 16 | 1 | | 17 | 10 | | 18 | 60 | | 19 | 34 | | 20 | 3 | | 21 | 15 | | 22 | 9 | | 23 | 62 | | 24 | 5 | | 25 | 33 | | 26 | 31 | | 27 | 1 | | 28 | 24 | | 29 | 36 | | 30 | 58 | | 31 | 14 | | 32 | 8 | | 33 | 10 | | 34 | 3 | | 35 | 40 | | 36 | 8 | | 37 | 4 | | 38 | 29 | | 39 | 1 | | 40 | 2 |
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| 92.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 113 | | matches | | 0 | "was meant" | | 1 | "was meant" | | 2 | "being unwrapped" | | 3 | "been told" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 164 | | matches | | 0 | "were deciding" | | 1 | "was beginning" | | 2 | "was doing" | | 3 | "was trying" | | 4 | "was unwrapping" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 119 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1005 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.03482587064676617 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008955223880597015 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 8.64 | | std | 8.72 | | cv | 1.009 | | sampleLengths | | 0 | 4 | | 1 | 11 | | 2 | 7 | | 3 | 20 | | 4 | 14 | | 5 | 42 | | 6 | 3 | | 7 | 2 | | 8 | 4 | | 9 | 4 | | 10 | 15 | | 11 | 4 | | 12 | 34 | | 13 | 7 | | 14 | 18 | | 15 | 4 | | 16 | 17 | | 17 | 8 | | 18 | 4 | | 19 | 5 | | 20 | 19 | | 21 | 26 | | 22 | 1 | | 23 | 5 | | 24 | 4 | | 25 | 18 | | 26 | 4 | | 27 | 5 | | 28 | 4 | | 29 | 4 | | 30 | 16 | | 31 | 11 | | 32 | 1 | | 33 | 4 | | 34 | 8 | | 35 | 14 | | 36 | 3 | | 37 | 5 | | 38 | 26 | | 39 | 11 | | 40 | 3 | | 41 | 41 | | 42 | 3 | | 43 | 4 | | 44 | 25 | | 45 | 7 | | 46 | 11 | | 47 | 2 | | 48 | 2 | | 49 | 1 |
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| 57.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.42857142857142855 | | totalSentences | 119 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 88 | | matches | | 0 | "Somewhere at the far edge" | | 1 | "So cold she felt the" | | 2 | "Then a third, further back," |
| | ratio | 0.034 | |
| 88.18% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 88 | | matches | | 0 | "She'd come to rely on" | | 1 | "She'd come for Isolde." | | 2 | "She had her phone in" | | 3 | "She had the pendant." | | 4 | "She had common sense, which" | | 5 | "She felt it against the" | | 6 | "It moved her fringe." | | 7 | "It didn't move the foxgloves." | | 8 | "she said to the grove," | | 9 | "Her voice didn't carry." | | 10 | "It should have, in a" | | 11 | "It sat on her tongue" | | 12 | "She stepped forward." | | 13 | "She stepped again, deliberately, driving" | | 14 | "She didn't look." | | 15 | "She walked toward the ring" | | 16 | "She reached the lichen ring." | | 17 | "It was darker than she" | | 18 | "She set the parcel down" | | 19 | "She stepped back from the" |
| | ratio | 0.33 | |
| 67.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 88 | | matches | | 0 | "The pendant went cold." | | 1 | "Rory felt it through her" | | 2 | "That was the wrong order" | | 3 | "The Heartstone was meant to" | | 4 | "She'd come to rely on" | | 5 | "She'd come for Isolde." | | 6 | "That was the agreement." | | 7 | "Eva had been clear." | | 8 | "Yu-Fei had been clearer, in" | | 9 | "Rory had the parcel under" | | 10 | "She had her phone in" | | 11 | "She had the pendant." | | 12 | "She had common sense, which" | | 13 | "The grove looked the way" | | 14 | "Wildflowers in stubborn bloom." | | 15 | "Foxgloves nodding at ankle height." | | 16 | "A clearing the size of" | | 17 | "The moon sat just where" | | 18 | "She felt it against the" | | 19 | "It moved her fringe." |
| | ratio | 0.784 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 88 | | matches | | 0 | "Now the silver chain felt" | | 1 | "Now it was an oval," |
| | ratio | 0.023 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "Yu-Fei had been clearer, in that she had said nothing at all and simply pressed a paper-wrapped parcel into Rory's hands with a look that meant *don't ask, don'…" | | 1 | "She had common sense, which was beginning to feel like the least useful item in her inventory." | | 2 | "A clearing the size of a small chapel, ringed by oaks that had been old when Rome was young." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 10 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.333 | | effectiveRatio | 0.2 | |