| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1144 | | totalAiIsmAdverbs | 3 | | 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) | |
| 69.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1144 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "pulse" | | 1 | "whisper" | | 2 | "silence" | | 3 | "weight" | | 4 | "pulsed" |
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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 | 82 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1144 | | 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 | 1129 | | uniqueNames | 6 | | maxNameDensity | 0.71 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 8 | | Heartstone | 4 | | Richmond | 1 | | Grove | 1 | | Silas | 2 | | Eva | 1 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Grove" | | 3 | "Silas" | | 4 | "Eva" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like a bellows working behind a cl" |
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| 25.17% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.748 | | wordCount | 1144 | | matches | | 0 | "not at the stone, not at the darkness opening in it, but at Rory's own chest" | | 1 | "not at the darkness opening in it, but at Rory's own chest" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 30.11 | | std | 27.76 | | cv | 0.922 | | sampleLengths | | 0 | 23 | | 1 | 84 | | 2 | 60 | | 3 | 13 | | 4 | 6 | | 5 | 1 | | 6 | 74 | | 7 | 1 | | 8 | 10 | | 9 | 41 | | 10 | 15 | | 11 | 51 | | 12 | 16 | | 13 | 3 | | 14 | 62 | | 15 | 8 | | 16 | 65 | | 17 | 38 | | 18 | 8 | | 19 | 69 | | 20 | 13 | | 21 | 33 | | 22 | 1 | | 23 | 20 | | 24 | 1 | | 25 | 28 | | 26 | 7 | | 27 | 87 | | 28 | 12 | | 29 | 78 | | 30 | 32 | | 31 | 3 | | 32 | 23 | | 33 | 32 | | 34 | 5 | | 35 | 89 | | 36 | 27 | | 37 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 82 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 167 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 87 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1131 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.029177718832891247 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0017683465959328027 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 13.15 | | std | 11.58 | | cv | 0.881 | | sampleLengths | | 0 | 23 | | 1 | 26 | | 2 | 22 | | 3 | 28 | | 4 | 8 | | 5 | 6 | | 6 | 31 | | 7 | 23 | | 8 | 5 | | 9 | 8 | | 10 | 6 | | 11 | 1 | | 12 | 28 | | 13 | 6 | | 14 | 28 | | 15 | 12 | | 16 | 1 | | 17 | 7 | | 18 | 3 | | 19 | 5 | | 20 | 16 | | 21 | 13 | | 22 | 7 | | 23 | 15 | | 24 | 2 | | 25 | 1 | | 26 | 30 | | 27 | 6 | | 28 | 1 | | 29 | 2 | | 30 | 2 | | 31 | 7 | | 32 | 16 | | 33 | 3 | | 34 | 15 | | 35 | 37 | | 36 | 10 | | 37 | 8 | | 38 | 5 | | 39 | 11 | | 40 | 38 | | 41 | 6 | | 42 | 5 | | 43 | 29 | | 44 | 6 | | 45 | 1 | | 46 | 1 | | 47 | 1 | | 48 | 8 | | 49 | 3 |
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| 57.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.41379310344827586 | | totalSentences | 87 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 69 | | matches | | 0 | "Then deepened again further left." | | 1 | "Then a voice under it," | | 2 | "Then, from behind her, from" |
| | ratio | 0.043 | |
| 98.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 69 | | matches | | 0 | "She stood at the fringe" | | 1 | "It had led her here," | | 2 | "Her phone read 11:47 p.m." | | 3 | "She had left Silas's bar" | | 4 | "It pressed on the inside" | | 5 | "Her voice came back flat" | | 6 | "She stepped between the stones." | | 7 | "She crouched and touched a" | | 8 | "She had come on the" | | 9 | "She had told herself she" | | 10 | "It wasn't a person's breathing." | | 11 | "It had no catch, no" | | 12 | "It sounded like a bellows" | | 13 | "She counted her own breaths" | | 14 | "She had counted them entering," | | 15 | "It had not been there" | | 16 | "Its face was smooth where" | | 17 | "Her phone buzzed." | | 18 | "She killed the call." | | 19 | "She crossed the clearing at" |
| | ratio | 0.304 | |
| 75.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 69 | | matches | | 0 | "The silver chain had gone" | | 1 | "She stood at the fringe" | | 2 | "The Heartstone sat against her" | | 3 | "It had led her here," | | 4 | "The Grove opened ahead of" | | 5 | "Wildflowers crowded the ground in" | | 6 | "Her phone read 11:47 p.m." | | 7 | "She had left Silas's bar" | | 8 | "Rory lowered the phone and" | | 9 | "The silence had weight to" | | 10 | "It pressed on the inside" | | 11 | "Her voice came back flat" | | 12 | "The breathing stopped." | | 13 | "She stepped between the stones." | | 14 | "The air changed as she" | | 15 | "The Heartstone settled against her" | | 16 | "Whatever it had sensed, it" | | 17 | "Rory took four more paces" | | 18 | "The ring of buttercups nearest" | | 19 | "She crouched and touched a" |
| | ratio | 0.768 | |
| 72.46% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 69 | | matches | | 0 | "Now it had nothing left" |
| | ratio | 0.014 | |
| 48.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 5 | | matches | | 0 | "Wildflowers crowded the ground in every direction, buttercups and harebells and foxglove, all of them upright, all of them open, as though someone had arranged …" | | 1 | "The ring of buttercups nearest the northern stone had bent inward, all at once, all toward the place where she had entered, as if something heavy had passed ove…" | | 2 | "She had come on the strength of a note slipped under Silas's door that morning, two lines in ink that bled at the edges, asking her to come alone, after dark, a…" | | 3 | "The glow went from ember to ember-red to a hard, ringing light that lit the clearing from inside her coat, and in that light the ground showed its seams." | | 4 | "The seventh stone split with a crack that threw splinters into the dark, and the hairline on its face yawned open into a black slot that breathed out air from s…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |