| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1397 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 64.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1397 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulse" | | 1 | "warmth" | | 2 | "silence" | | 3 | "electric" | | 4 | "pulsed" | | 5 | "echo" | | 6 | "echoed" | | 7 | "searing" | | 8 | "could feel" |
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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 | 122 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 122 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 31 | | totalWords | 1415 | | ratio | 0.022 | | matches | | 0 | "evidence" | | 1 | "wind, no. Growth heliotropism, no, not at midnight. Something moved them." | | 2 | "don't go in. Rory. don't go in" | | 3 | "im already in. coming out now. stones are north, i remember north" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1353 | | uniqueNames | 15 | | maxNameDensity | 0.52 | | worstName | "Tap" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Tap" | | discoveredNames | | Kingston | 1 | | Gate | 1 | | Richmond | 2 | | Park | 1 | | Eva | 3 | | Tuesday | 1 | | Wales | 1 | | Listened | 1 | | February | 1 | | London | 1 | | June | 1 | | Silas | 1 | | Tap | 7 | | Twenty | 1 | | Rory | 7 |
| | persons | | 0 | "Eva" | | 1 | "Tuesday" | | 2 | "Silas" | | 3 | "Rory" |
| | places | | 0 | "Kingston" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Wales" | | 4 | "February" | | 5 | "London" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1415 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 30.76 | | std | 26.29 | | cv | 0.855 | | sampleLengths | | 0 | 8 | | 1 | 58 | | 2 | 10 | | 3 | 87 | | 4 | 16 | | 5 | 3 | | 6 | 90 | | 7 | 11 | | 8 | 65 | | 9 | 5 | | 10 | 7 | | 11 | 77 | | 12 | 24 | | 13 | 7 | | 14 | 76 | | 15 | 33 | | 16 | 32 | | 17 | 8 | | 18 | 9 | | 19 | 48 | | 20 | 7 | | 21 | 54 | | 22 | 42 | | 23 | 11 | | 24 | 70 | | 25 | 6 | | 26 | 80 | | 27 | 30 | | 28 | 7 | | 29 | 17 | | 30 | 2 | | 31 | 60 | | 32 | 21 | | 33 | 36 | | 34 | 69 | | 35 | 13 | | 36 | 11 | | 37 | 31 | | 38 | 38 | | 39 | 38 | | 40 | 29 | | 41 | 2 | | 42 | 7 | | 43 | 42 | | 44 | 15 | | 45 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 122 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 206 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 2 | | flaggedSentences | 15 | | totalSentences | 125 | | ratio | 0.12 | | matches | | 0 | "Rory pressed her thumb against the crimson stone through her jacket on the third night, standing at the Kingston Gate entrance to Richmond Park, and felt it pulse — once, twice — like something with a heartbeat of its own." | | 1 | "Richmond at night was a different animal — the deer were gone, the joggers were gone, and the oaks leaned over the road like spectators waiting for a procession." | | 2 | "The standing stones announced themselves the way they always did — a pressure change, like stepping into a lift." | | 3 | "Moonlight came down through a break in the oaks and lay across the wildflowers — primrose, violet, things she couldn't name, all open, all facing up, all blooming like it was the height of June." | | 4 | "\"Okay,\" she said, and her voice came out wrong too — flat, dead, like she'd spoken inside a recording studio instead of open air." | | 5 | "Old oaks shifted all night; she'd heard them from her bedroom over Silas's bar, the great plane tree on the corner ticking and knocking from midnight to dawn." | | 6 | "The metal of the chain had gone strange under her fingers — not quite hot, not quite cold, the temperature of skin that wasn't hers." | | 7 | "A clearing this size, this still — a voice should have rolled to the trees and come back." | | 8 | "She was looking right at them, and she hadn't seen it, but the primroses that had faced the moon a moment ago now faced her — hundreds of small pale faces, all pointed at her chest." | | 9 | "Nothing standing among them, nothing at the tree line, nothing in the deep blue shadow between the oaks — except that the shadows between the oaks were deeper than they'd been when she came in." | | 10 | "The moon hadn't moved; she checked it against the break in the canopy, a pale coin still hanging in the same gap." | | 11 | "She nearly dropped it snatching it out — one bar." | | 12 | "The pendant flared — a searing kiss of heat that made her gasp and grab at it through her shirt — and in the flare's red wash she saw the clearing properly for the first time." | | 13 | "She turned to the stones — north, she remembered north, she had a compass in her head and a scar on her wrist from the day she'd learned to trust it — and the stones were not there." | | 14 | "Rory closed her hand around the stone at her throat, hot as a coal now, beating like a second heart, and understood — with a certainty that settled into her bones like frost — that it had never been leading her anywhere." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1337 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 51 | | adverbRatio | 0.0381451009723261 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005235602094240838 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 11.32 | | std | 11.03 | | cv | 0.974 | | sampleLengths | | 0 | 8 | | 1 | 40 | | 2 | 18 | | 3 | 7 | | 4 | 3 | | 5 | 5 | | 6 | 23 | | 7 | 24 | | 8 | 1 | | 9 | 5 | | 10 | 21 | | 11 | 8 | | 12 | 5 | | 13 | 11 | | 14 | 3 | | 15 | 23 | | 16 | 29 | | 17 | 5 | | 18 | 33 | | 19 | 11 | | 20 | 37 | | 21 | 10 | | 22 | 2 | | 23 | 1 | | 24 | 15 | | 25 | 5 | | 26 | 7 | | 27 | 19 | | 28 | 19 | | 29 | 20 | | 30 | 3 | | 31 | 5 | | 32 | 11 | | 33 | 5 | | 34 | 2 | | 35 | 17 | | 36 | 7 | | 37 | 6 | | 38 | 20 | | 39 | 15 | | 40 | 35 | | 41 | 3 | | 42 | 3 | | 43 | 27 | | 44 | 24 | | 45 | 8 | | 46 | 6 | | 47 | 1 | | 48 | 1 | | 49 | 9 |
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| 57.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.41935483870967744 | | totalSentences | 124 | | uniqueOpeners | 52 | |
| 35.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 95 | | matches | | | ratio | 0.011 | |
| 85.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 95 | | matches | | 0 | "she muttered to the empty" | | 1 | "She'd told herself she wouldn't." | | 2 | "She'd told Eva she wouldn't," | | 3 | "They always did, though the" | | 4 | "She walked in." | | 5 | "Her phone said 1:14 a.m." | | 6 | "Her phone said no signal," | | 7 | "She held it up anyway," | | 8 | "She pocketed the phone and" | | 9 | "She'd found them once by" | | 10 | "She stepped between two of" | | 11 | "Her breath fogged." | | 12 | "she said, and her voice" | | 13 | "She turned her head, slow," | | 14 | "Her hand found the pendant" | | 15 | "It should have echoed." | | 16 | "Hers dropped straight down, like" | | 17 | "She hadn't seen them do" | | 18 | "She was looking right at" | | 19 | "She was almost sure." |
| | ratio | 0.337 | |
| 75.79% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 95 | | matches | | 0 | "The pendant had been warm" | | 1 | "Rory pressed her thumb against" | | 2 | "The chain bit into the" | | 3 | "she muttered to the empty" | | 4 | "She'd told herself she wouldn't." | | 5 | "She'd told Eva she wouldn't," | | 6 | "That was all she wanted." | | 7 | "The park gates stood open." | | 8 | "They always did, though the" | | 9 | "She walked in." | | 10 | "The asphalt path held the" | | 11 | "Richmond at night was a" | | 12 | "Her phone said 1:14 a.m." | | 13 | "Her phone said no signal," | | 14 | "She held it up anyway," | | 15 | "A soft granular hiss that" | | 16 | "She pocketed the phone and" | | 17 | "The standing stones announced themselves" | | 18 | "She'd found them once by" | | 19 | "Wildflowers in February." |
| | ratio | 0.768 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 79.37% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 4 | | matches | | 0 | "The metal of the chain had gone strange under her fingers — not quite hot, not quite cold, the temperature of skin that wasn't hers." | | 1 | "She was looking right at them, and she hadn't seen it, but the primroses that had faced the moon a moment ago now faced her — hundreds of small pale faces, all …" | | 2 | "Thousands of small pale faces aimed at her from every side, a silent congregation, and beyond them, at the tree line, the shadows stood in shapes that were near…" | | 3 | "Rory closed her hand around the stone at her throat, hot as a coal now, beating like a second heart, and understood — with a certainty that settled into her bon…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 10 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.25 | | effectiveRatio | 0.2 | |