| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1896 | | totalAiIsmAdverbs | 2 | | 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) | |
| 68.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1896 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "navigate" | | 1 | "pulsed" | | 2 | "weight" | | 3 | "pulse" | | 4 | "traced" | | 5 | "silence" | | 6 | "warmth" | | 7 | "throbbed" | | 8 | "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 | 189 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 189 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 192 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 31 | | totalWords | 1906 | | ratio | 0.016 | | matches | | 0 | "YOUR STONE WILL OPEN IT IF YOU LET IT. MIDNIGHT. - Y" | | 1 | "Yours is not Fae-made, Rory. It was cut in Dymas. It wants the deep places." | | 2 | "come" | | 3 | "you'll be sorry" |
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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 | 63 | | wordCount | 1869 | | uniqueNames | 29 | | maxNameDensity | 0.7 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Petersham | 1 | | Gate | 1 | | Rory | 13 | | Carter | 2 | | Golden | 1 | | Empress | 1 | | London | 2 | | Cheung | 1 | | Eva | 5 | | Heartstone | 6 | | Sheen | 1 | | Road | 1 | | Pen | 1 | | Ponds | 1 | | Welsh | 1 | | Grove | 4 | | January | 1 | | Hel | 1 | | Malphora | 1 | | Fae-made | 1 | | Dymas | 1 | | Cardiff | 1 | | Fae-touched | 2 | | Evan | 2 | | Yu-Fei | 3 | | Silas | 1 | | Thing | 3 |
| | persons | | 0 | "Gate" | | 1 | "Rory" | | 2 | "Carter" | | 3 | "Empress" | | 4 | "Cheung" | | 5 | "Eva" | | 6 | "Heartstone" | | 7 | "Malphora" | | 8 | "Evan" | | 9 | "Yu-Fei" | | 10 | "Silas" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Petersham" | | 3 | "London" | | 4 | "Sheen" | | 5 | "Road" | | 6 | "Pen" | | 7 | "Grove" | | 8 | "Hel" | | 9 | "Dymas" | | 10 | "Cardiff" | | 11 | "Fae-touched" |
| | globalScore | 1 | | windowScore | 1 | |
| 47.54% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 122 | | glossingSentenceCount | 5 | | matches | | 0 | "quite trees" | | 1 | "something like them" | | 2 | "As if listening for an answer" | | 3 | "Something between the standing stones would shi" | | 4 | "as if deciding went dim" |
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| 95.07% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.049 | | wordCount | 1906 | | matches | | 0 | "not toward the moon but inward, toward the center of the clearing" | | 1 | "not warmth now but a clear, urgent shake" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 192 | | matches | | 0 | "think that way" | | 1 | "watching that hole" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 30.74 | | std | 22.07 | | cv | 0.718 | | sampleLengths | | 0 | 8 | | 1 | 53 | | 2 | 47 | | 3 | 70 | | 4 | 66 | | 5 | 67 | | 6 | 58 | | 7 | 8 | | 8 | 19 | | 9 | 77 | | 10 | 3 | | 11 | 17 | | 12 | 28 | | 13 | 81 | | 14 | 10 | | 15 | 3 | | 16 | 55 | | 17 | 34 | | 18 | 20 | | 19 | 2 | | 20 | 46 | | 21 | 23 | | 22 | 50 | | 23 | 9 | | 24 | 19 | | 25 | 4 | | 26 | 33 | | 27 | 9 | | 28 | 38 | | 29 | 6 | | 30 | 51 | | 31 | 57 | | 32 | 41 | | 33 | 14 | | 34 | 5 | | 35 | 32 | | 36 | 39 | | 37 | 62 | | 38 | 7 | | 39 | 76 | | 40 | 12 | | 41 | 4 | | 42 | 21 | | 43 | 5 | | 44 | 40 | | 45 | 59 | | 46 | 13 | | 47 | 5 | | 48 | 18 | | 49 | 57 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 189 | | matches | | 0 | "was closed" | | 1 | "was supposed" |
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| 94.51% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 316 | | matches | | 0 | "was building" | | 1 | "wasn't reflecting" | | 2 | "was keeping" | | 3 | "was watching" | | 4 | "was lying" |
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| 53.57% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 192 | | ratio | 0.031 | | matches | | 0 | "If you let your attention snag on other things — the way her shoulder-length black hair stuck to her neck, the ache in her calves from biking all day — your feet remembered for you." | | 1 | "Rory turned in place, a slow pivot, delivery habit — always check your exits." | | 2 | "Behind the crickets that weren't crickets — in the Fae-touched places there never were crickets, only things doing cricket impressions — there was another sound." | | 3 | "She saw walls of wet black rock running down and down, and things clinging to them, pale, giving way like mushrooms when light touched them, and at the bottom—" | | 4 | "The pendant beat once more, hard, against her pressed fingers — not warmth now but a clear, urgent shake — and then, as if deciding, went dim." | | 5 | "And she would not — she would absolutely not — come back tomorrow to see if the white flower was still there." |
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| 92.74% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1882 | | adjectiveStacks | 1 | | stackExamples | | 0 | "thumbnail-sized, deep crimson" |
| | adverbCount | 78 | | adverbRatio | 0.04144527098831031 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.008501594048884165 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 192 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 192 | | mean | 9.93 | | std | 7.36 | | cv | 0.742 | | sampleLengths | | 0 | 8 | | 1 | 39 | | 2 | 14 | | 3 | 9 | | 4 | 15 | | 5 | 3 | | 6 | 6 | | 7 | 2 | | 8 | 2 | | 9 | 10 | | 10 | 16 | | 11 | 2 | | 12 | 15 | | 13 | 1 | | 14 | 5 | | 15 | 12 | | 16 | 19 | | 17 | 23 | | 18 | 16 | | 19 | 22 | | 20 | 5 | | 21 | 9 | | 22 | 5 | | 23 | 18 | | 24 | 35 | | 25 | 5 | | 26 | 3 | | 27 | 3 | | 28 | 15 | | 29 | 10 | | 30 | 8 | | 31 | 14 | | 32 | 8 | | 33 | 2 | | 34 | 12 | | 35 | 5 | | 36 | 9 | | 37 | 33 | | 38 | 9 | | 39 | 26 | | 40 | 3 | | 41 | 8 | | 42 | 2 | | 43 | 6 | | 44 | 1 | | 45 | 5 | | 46 | 18 | | 47 | 5 | | 48 | 5 | | 49 | 13 |
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| 42.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 32 | | diversityRatio | 0.3541666666666667 | | totalSentences | 192 | | uniqueOpeners | 68 | |
| 80.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 166 | | matches | | 0 | "Just the hush of too" | | 1 | "Just folded printer paper that" | | 2 | "Then the bare patch sighed." | | 3 | "Then she turned and walked," |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 166 | | matches | | 0 | "She hadn't meant to stay" | | 1 | "She'd come because of the" | | 2 | "It had been warm that" | | 3 | "She found the grove by" | | 4 | "They just were, too massive," | | 5 | "She was Welsh enough to" | | 6 | "Her father would have called" | | 7 | "Her bright blue eyes adjusted." | | 8 | "She told herself to think." | | 9 | "It was cut in Dymas." | | 10 | "It wants the deep places.*" | | 11 | "It had never done this" | | 12 | "She stepped through." | | 13 | "She lifted the pendant off" | | 14 | "Her voice fell flat immediately," | | 15 | "She knew the other side" | | 16 | "She could see them now," | | 17 | "Their shadows merged too high" | | 18 | "They bloomed year-round, that was" | | 19 | "They didn't all face the" |
| | ratio | 0.295 | |
| 89.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 123 | | totalSentences | 166 | | matches | | 0 | "She hadn't meant to stay" | | 1 | "The path into Richmond Park" | | 2 | "The pendant bumped against her" | | 3 | "Rory Carter was good at" | | 4 | "Delivery shifts for Golden Empress" | | 5 | "This was different." | | 6 | "She'd come because of the" | | 7 | "- Y* in block capitals." | | 8 | "Yu-Fei Cheung sometimes left her" | | 9 | "The Heartstone sat just below" | | 10 | "The unknown benefactor who'd left" | | 11 | "It had been warm that" | | 12 | "She found the grove by" | | 13 | "That was how it worked." | | 14 | "The ancient oaks came first." | | 15 | "They just were, too massive," | | 16 | "She was Welsh enough to" | | 17 | "Her father would have called" | | 18 | "Her bright blue eyes adjusted." | | 19 | "The Grove shouldn't have been" |
| | ratio | 0.741 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 6 | | totalSentences | 166 | | matches | | 0 | "Now it was warm again." | | 1 | "If you tried to navigate" | | 2 | "If you let your attention" | | 3 | "As if listening for an" | | 4 | "Because it was watching now." | | 5 | "If she stayed watching that" |
| | ratio | 0.036 | |
| 79.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 79 | | technicalSentenceCount | 7 | | matches | | 0 | "Just folded printer paper that said *YOUR STONE WILL OPEN IT IF YOU LET IT." | | 1 | "Cool-headed, Rory, quick out-of-the-box thinking, that was what Eva always said after Rory got them out of something." | | 2 | "Behind the crickets that weren't crickets — in the Fae-touched places there never were crickets, only things doing cricket impressions — there was another sound…" | | 3 | "The flowers had all turned a little further, all watching that inverted dip that was now distinctly an opening, maybe a handspan wide, breathing cold air that s…" | | 4 | "The pendant beat once more, hard, against her pressed fingers — not warmth now but a clear, urgent shake — and then, as if deciding, went dim." | | 5 | "The white stitchwort head that had fallen was lying on top of it, limp, as if it had always been there." | | 6 | "The crickets-that-weren't started up again, too loud, too fast." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she hissed (hiss)" |
| | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.667 | | effectiveRatio | 0.667 | |