| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1162 | | 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) | |
| 39.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1162 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "flicker" | | 1 | "echo" | | 2 | "footsteps" | | 3 | "weight" | | 4 | "silence" | | 5 | "pulse" | | 6 | "pulsed" | | 7 | "whisper" | | 8 | "silk" |
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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 | 118 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 118 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 130 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1179 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1089 | | uniqueNames | 12 | | maxNameDensity | 0.55 | | worstName | "Isolde" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Isolde" | | discoveredNames | | Golden | 1 | | Empress | 1 | | Heartstone | 2 | | Isolde | 6 | | Park | 1 | | Petersham | 1 | | Road | 1 | | Evan | 2 | | Cardiff | 1 | | London | 1 | | Silas | 1 | | Rory | 5 |
| | persons | | 0 | "Heartstone" | | 1 | "Isolde" | | 2 | "Evan" | | 3 | "Silas" | | 4 | "Rory" |
| | places | | 0 | "Golden" | | 1 | "Park" | | 2 | "Petersham" | | 3 | "Road" | | 4 | "Cardiff" | | 5 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | 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 | 1179 | | matches | (empty) | |
| 89.74% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 130 | | matches | | 0 | "grown that way" | | 1 | "called that the" | | 2 | "learned that much" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 21.05 | | std | 19.03 | | cv | 0.904 | | sampleLengths | | 0 | 44 | | 1 | 35 | | 2 | 32 | | 3 | 7 | | 4 | 44 | | 5 | 2 | | 6 | 1 | | 7 | 40 | | 8 | 10 | | 9 | 52 | | 10 | 4 | | 11 | 81 | | 12 | 6 | | 13 | 1 | | 14 | 27 | | 15 | 17 | | 16 | 27 | | 17 | 8 | | 18 | 14 | | 19 | 24 | | 20 | 46 | | 21 | 9 | | 22 | 8 | | 23 | 7 | | 24 | 1 | | 25 | 47 | | 26 | 26 | | 27 | 23 | | 28 | 6 | | 29 | 5 | | 30 | 8 | | 31 | 53 | | 32 | 39 | | 33 | 17 | | 34 | 18 | | 35 | 33 | | 36 | 16 | | 37 | 1 | | 38 | 31 | | 39 | 3 | | 40 | 31 | | 41 | 28 | | 42 | 5 | | 43 | 1 | | 44 | 48 | | 45 | 3 | | 46 | 19 | | 47 | 18 | | 48 | 5 | | 49 | 75 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 118 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 162 | | matches | | 0 | "were waiting" | | 1 | "weren't facing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 1 | | flaggedSentences | 13 | | totalSentences | 130 | | ratio | 0.1 | | matches | | 0 | "Isolde's looping hand, unmistakable — though the letters shuddered, as if written on a moving train." | | 1 | "Does, a stag, standing in a loose crescent, every head aimed at the same point past her shoulder — toward the treeline, toward the stones." | | 2 | "Six oaks shaped into standing stones — grown that way or carved, Isolde had never said which — heartwood grain running where ordinary stones would carry lichen." | | 3 | "She stood among them with her hands deep in her jacket pockets, because the flowers bloomed every month of the year — Isolde boasted of it, said the grove kept its own calendar — and tonight thousands of buds had sealed themselves, and every stem leaned the same direction." | | 4 | "Her voice always came back soft off the far stones — Isolde called that the grove's manners." | | 5 | "Each one landed, and then landed again — half a second late, same weight, same rhythm, hers and not hers." | | 6 | "Then, from everywhere and nowhere — from the soil, from the buds, from the black between the far stones — a single note rang out." | | 7 | "She blew out a breath and walked the perimeter, quick and decisive — the way she'd learned to move through car parks at midnight, and through Evan's moods long before that." | | 8 | "She felt the watching the way you feel sun through glass, and she let her eyes slide past it, casual, an old trick — watch reflections, never the thing itself — and when she forced herself to look back there was nothing there but heartwood grain and dark." | | 9 | "Saying her name the way she said it when she talked herself down from panic — reasonable, gentle." | | 10 | "Even to her own ears that came out wrong; you don't get to vote on what's real." | | 11 | "She turned for the gap between the second and third stones — home, London, Silas' lock-ins, daylight, ordinary noise." | | 12 | "Same trainers, same rhythm — late by half a second, then a quarter, then by nothing at all, so close the two sounds braided into one." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 925 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02702702702702703 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003243243243243243 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 130 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 130 | | mean | 9.07 | | std | 9.69 | | cv | 1.069 | | sampleLengths | | 0 | 23 | | 1 | 1 | | 2 | 2 | | 3 | 2 | | 4 | 16 | | 5 | 4 | | 6 | 4 | | 7 | 27 | | 8 | 8 | | 9 | 24 | | 10 | 7 | | 11 | 4 | | 12 | 25 | | 13 | 4 | | 14 | 6 | | 15 | 5 | | 16 | 2 | | 17 | 1 | | 18 | 14 | | 19 | 26 | | 20 | 6 | | 21 | 4 | | 22 | 27 | | 23 | 25 | | 24 | 4 | | 25 | 10 | | 26 | 49 | | 27 | 3 | | 28 | 3 | | 29 | 16 | | 30 | 6 | | 31 | 1 | | 32 | 8 | | 33 | 2 | | 34 | 17 | | 35 | 4 | | 36 | 1 | | 37 | 5 | | 38 | 2 | | 39 | 5 | | 40 | 5 | | 41 | 20 | | 42 | 2 | | 43 | 8 | | 44 | 9 | | 45 | 2 | | 46 | 2 | | 47 | 1 | | 48 | 24 | | 49 | 4 |
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| 78.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.49206349206349204 | | totalSentences | 126 | | uniqueOpeners | 62 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 89 | | matches | | 0 | "Of course she had." | | 1 | "Away from her." | | 2 | "Then, from everywhere and nowhere" | | 3 | "Exactly her own voice, with" |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 89 | | matches | | 0 | "She went over the wall" | | 1 | "Her mother had raised her" | | 2 | "She walked the length of" | | 3 | "She stood among them with" | | 4 | "Her voice always came back" | | 5 | "She started across the grass." | | 6 | "Her footsteps came back, though." | | 7 | "She swept her torch across" | | 8 | "It rang again." | | 9 | "She timed the third note" | | 10 | "She blew out a breath" | | 11 | "She counted the stones as" | | 12 | "She dropped to a crouch" | | 13 | "She felt the watching the" | | 14 | "Her torch beam was full" | | 15 | "She switched the torch off." | | 16 | "She kept her voice level" | | 17 | "Her own voice." | | 18 | "She'd learned that much in" | | 19 | "She said it out loud," |
| | ratio | 0.281 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 89 | | matches | | 0 | "The note had been waiting" | | 1 | "Isolde's looping hand, unmistakable —" | | 2 | "Rory had gone anyway." | | 3 | "The Heartstone had been running" | | 4 | "Richmond Park's gates had been" | | 5 | "She went over the wall" | | 6 | "The deer were waiting on" | | 7 | "A dozen of them." | | 8 | "None of them moved." | | 9 | "The stag's breath didn't fog." | | 10 | "Her mother had raised her" | | 11 | "She walked the length of" | | 12 | "The slope stood empty." | | 13 | "Rory passed between the second" | | 14 | "The flowers were closed." | | 15 | "Every bloom in the clearing" | | 16 | "She stood among them with" | | 17 | "The pendant's heat climbed a" | | 18 | "The word went in and" | | 19 | "Her voice always came back" |
| | ratio | 0.663 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 89 | | matches | | 0 | "If this were one of" | | 1 | "Even to her own ears" |
| | ratio | 0.022 | |
| 99.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 2 | | matches | | 0 | "Isolde's looping hand, unmistakable — though the letters shuddered, as if written on a moving train." | | 1 | "They faced the space at her back the way a crowd faces a stage, and Rory understood, with a certainty that dropped through her like a swallowed stone, that ever…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0 | | effectiveRatio | 0 | |