| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said aloud [aloud]" |
| | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |
| 85.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1388 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "gently" |
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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) | |
| 74.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1388 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "pulse" | | 1 | "pulsed" | | 2 | "silence" | | 3 | "flicker" | | 4 | "perfect" | | 5 | "stomach" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 100 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 100 | | filterMatches | (empty) | | hedgeMatches | | |
| 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 | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1394 | | 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 | 15 | | wordCount | 1386 | | uniqueNames | 6 | | maxNameDensity | 0.36 | | worstName | "Heartstone" | | maxWindowNameDensity | 1 | | worstWindowName | "Yu-Fei" | | discoveredNames | | Heartstone | 5 | | Hammersmith | 1 | | Park | 1 | | November | 1 | | Yu-Fei | 2 | | Rory | 5 |
| | persons | | 0 | "Heartstone" | | 1 | "Yu-Fei" | | 2 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.717 | | wordCount | 1394 | | matches | | 0 | "Not the flat heat of a coin left in the sun but a slow, organic pulse, like something with a small heart pre" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 101 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 39.83 | | std | 26.81 | | cv | 0.673 | | sampleLengths | | 0 | 77 | | 1 | 51 | | 2 | 31 | | 3 | 71 | | 4 | 28 | | 5 | 21 | | 6 | 67 | | 7 | 10 | | 8 | 49 | | 9 | 51 | | 10 | 58 | | 11 | 8 | | 12 | 46 | | 13 | 30 | | 14 | 3 | | 15 | 54 | | 16 | 67 | | 17 | 6 | | 18 | 5 | | 19 | 54 | | 20 | 12 | | 21 | 45 | | 22 | 50 | | 23 | 5 | | 24 | 81 | | 25 | 33 | | 26 | 91 | | 27 | 16 | | 28 | 95 | | 29 | 40 | | 30 | 69 | | 31 | 2 | | 32 | 44 | | 33 | 11 | | 34 | 13 |
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| 98.25% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 100 | | matches | | 0 | "been filled" | | 1 | "being crumpled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 217 | | matches | | 0 | "was working" | | 1 | "was returning" |
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| 1.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 101 | | ratio | 0.05 | | matches | | 0 | "Instead they stood to her knee, white and yellow and a blue so deep it looked bruised, all of them facing the same direction — away from her." | | 1 | "Halfway across she felt the ground change — the soft give of loam giving way to something packed and gritty, like ash." | | 2 | "Carried the way a sound travels down a corridor — focused, narrowing, aimed." | | 3 | "Forced her breathing down the way she'd taught herself in the last year — in through the nose, out slow, count to four, count to four again — and turned around." | | 4 | "Every tree exhaled at once — a long, collective sigh of sap and hollow wood, and under it the voice stopped being a voice and became a sound made of many voices speaking her name in overlapping registers, some of them too low to belong to any throat, some of them thin and bright and breathless." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1383 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 47 | | adverbRatio | 0.03398409255242227 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0028922631959508315 | |
| 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 | 13.8 | | std | 12.08 | | cv | 0.875 | | sampleLengths | | 0 | 7 | | 1 | 26 | | 2 | 26 | | 3 | 18 | | 4 | 5 | | 5 | 22 | | 6 | 16 | | 7 | 8 | | 8 | 4 | | 9 | 27 | | 10 | 10 | | 11 | 7 | | 12 | 28 | | 13 | 8 | | 14 | 18 | | 15 | 10 | | 16 | 1 | | 17 | 4 | | 18 | 13 | | 19 | 16 | | 20 | 5 | | 21 | 12 | | 22 | 16 | | 23 | 14 | | 24 | 3 | | 25 | 22 | | 26 | 10 | | 27 | 3 | | 28 | 24 | | 29 | 7 | | 30 | 15 | | 31 | 1 | | 32 | 7 | | 33 | 43 | | 34 | 10 | | 35 | 18 | | 36 | 22 | | 37 | 3 | | 38 | 5 | | 39 | 8 | | 40 | 2 | | 41 | 19 | | 42 | 10 | | 43 | 13 | | 44 | 2 | | 45 | 6 | | 46 | 22 | | 47 | 2 | | 48 | 3 | | 49 | 30 |
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| 55.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.38613861386138615 | | totalSentences | 101 | | uniqueOpeners | 39 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 88 | | matches | | 0 | "Instead they stood to her" | | 1 | "Away from her, the way" | | 2 | "Somewhere behind her, maybe a" | | 3 | "Upward, toward a sky that" |
| | ratio | 0.045 | |
| 88.18% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 88 | | matches | | 0 | "She went in anyway, over" | | 1 | "She hadn't told anyone." | | 2 | "They should have been dead" | | 3 | "she said aloud, because the" | | 4 | "Her phone had no signal" | | 5 | "She'd checked four times, each" | | 6 | "It had a rhythm to" | | 7 | "It stopped when she turned" | | 8 | "She stood, brushed the dirt" | | 9 | "She walked toward the far" | | 10 | "She looked down." | | 11 | "Her boots left no prints." | | 12 | "Her voice came back to" | | 13 | "She checked the pendant." | | 14 | "Its glow had gone from" | | 15 | "It burned in small, regular" | | 16 | "They didn't bend." | | 17 | "They didn't sway." | | 18 | "She stepped backward and her" | | 19 | "She looked down." |
| | ratio | 0.33 | |
| 67.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 88 | | matches | | 0 | "The Heartstone had been warm" | | 1 | "Rory had stopped twice on" | | 2 | "Each time the glow bent" | | 3 | "Richmond Park closed at dusk." | | 4 | "She went in anyway, over" | | 5 | "The oaks stood in a" | | 6 | "Wind moved through them without" | | 7 | "She hadn't told anyone." | | 8 | "That was the first thing" | | 9 | "The grove opened around her" | | 10 | "They should have been dead" | | 11 | "Rory crouched and pressed her" | | 12 | "The Heartstone pulsed against her" | | 13 | "she said aloud, because the" | | 14 | "Her phone had no signal" | | 15 | "She'd checked four times, each" | | 16 | "Eva had texted her at" | | 17 | "Rory hadn't answered." | | 18 | "Yu-Fei would notice the empty" | | 19 | "A sound came from the" |
| | ratio | 0.784 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 3 | | matches | | 0 | "That was the first thing that felt wrong once she stepped between the two largest stones and the temperature dropped by ten degrees in a single breath." | | 1 | "Every stem in the clearing rotated by a few degrees, all at once, all in perfect unison, until the blue ones faced her and the white ones faced her and the whol…" | | 2 | "Every time she shifted her focus toward it, it relocated to the periphery, and the space where it had been filled with flowers again, as though the ground had c…" |
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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 | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |