| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 22 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.167 | | effectiveRatio | 0.091 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1198 | | 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) | |
| 70.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1198 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "pulse" | | 1 | "quickened" | | 2 | "silence" | | 3 | "weight" | | 4 | "footsteps" |
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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 | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 86 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1209 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 1045 | | uniqueNames | 11 | | maxNameDensity | 0.19 | | worstName | "Richmond" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Richmond | 2 | | Park | 1 | | Heartstone | 2 | | Pendant | 1 | | Tuesday | 1 | | Heathrow | 1 | | Chilli | 1 | | Golden | 1 | | Empress | 1 | | Grass | 1 | | Words | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Pendant" | | 2 | "Empress" | | 3 | "Grass" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | 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 | 1209 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 103 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 28.12 | | std | 24.56 | | cv | 0.874 | | sampleLengths | | 0 | 36 | | 1 | 52 | | 2 | 4 | | 3 | 5 | | 4 | 5 | | 5 | 8 | | 6 | 18 | | 7 | 26 | | 8 | 62 | | 9 | 11 | | 10 | 47 | | 11 | 1 | | 12 | 13 | | 13 | 48 | | 14 | 79 | | 15 | 1 | | 16 | 16 | | 17 | 70 | | 18 | 43 | | 19 | 31 | | 20 | 45 | | 21 | 4 | | 22 | 17 | | 23 | 12 | | 24 | 49 | | 25 | 15 | | 26 | 23 | | 27 | 22 | | 28 | 1 | | 29 | 6 | | 30 | 69 | | 31 | 5 | | 32 | 35 | | 33 | 111 | | 34 | 6 | | 35 | 54 | | 36 | 15 | | 37 | 31 | | 38 | 37 | | 39 | 26 | | 40 | 18 | | 41 | 31 | | 42 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 86 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 151 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 3 | | flaggedSentences | 13 | | totalSentences | 103 | | ratio | 0.126 | | matches | | 0 | "It had kept a double-beat since Tuesday — pulse, pulse, pause — and it quickened now as she faced into the park, eased as she turned back toward the road." | | 1 | "\"Then something's opened a door in the one bit of London that isn't London.\" A plane should have been crossing overhead — Richmond sat under the Heathrow approach, and she'd stopped hearing the engines years ago the way you stop hearing a clock." | | 2 | "Chilli oil from the Golden Empress still clung to the collar; she'd come straight off her last delivery without stopping." | | 3 | "She gave it a wide berth and it turned with her — not its head, its whole body, a slow swivel on hooves that made no sound." | | 4 | "Deer ran from people; everyone who walked this park knew that much." | | 5 | "She never caught it head-on — a suggestion of movement at the rim of her vision, tall, unhurried, matching her stride for stride." | | 6 | "The battery had read 38 percent at the gate; it read 12 now with the phone idle in her pocket." | | 7 | "She pressed the power button, got nothing — then it rang again, and this time it played the whole conversation back." | | 8 | "The silver chain had gone warm at her nape, and crimson light leaked through the neck of her jacket — the Heartstone lit from inside, no bigger than her thumbnail and burning like an ember." | | 9 | "Not faded — out, like a plug pulled." | | 10 | "Her tread, the worn patch on the left sole printed clean in the flattened blooms, leading in — and none leading out." | | 11 | "And something under the ground, under the flowers, beat back — off the beat, a counterpoint, the two rhythms fitting together the way a key fits a lock it was cut for." | | 12 | "The word came back to her from everywhere — from the flowers, from under the roots, from a mouth close enough that she felt it move the air against her ear." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 635 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.02047244094488189 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 11.74 | | std | 9.64 | | cv | 0.821 | | sampleLengths | | 0 | 8 | | 1 | 28 | | 2 | 15 | | 3 | 30 | | 4 | 7 | | 5 | 3 | | 6 | 1 | | 7 | 5 | | 8 | 3 | | 9 | 2 | | 10 | 8 | | 11 | 7 | | 12 | 11 | | 13 | 26 | | 14 | 43 | | 15 | 4 | | 16 | 5 | | 17 | 10 | | 18 | 11 | | 19 | 16 | | 20 | 20 | | 21 | 11 | | 22 | 1 | | 23 | 4 | | 24 | 9 | | 25 | 7 | | 26 | 21 | | 27 | 10 | | 28 | 10 | | 29 | 15 | | 30 | 2 | | 31 | 2 | | 32 | 27 | | 33 | 33 | | 34 | 1 | | 35 | 11 | | 36 | 5 | | 37 | 3 | | 38 | 27 | | 39 | 16 | | 40 | 12 | | 41 | 12 | | 42 | 16 | | 43 | 9 | | 44 | 18 | | 45 | 31 | | 46 | 8 | | 47 | 23 | | 48 | 6 | | 49 | 8 |
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| 73.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4854368932038835 | | totalSentences | 103 | | uniqueOpeners | 50 | |
| 45.05% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 74 | | matches | | 0 | "Somewhere beyond the trees the" |
| | ratio | 0.014 | |
| 95.68% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 74 | | matches | | 0 | "It had kept a double-beat" | | 1 | "Her phone buzzed." | | 2 | "She started walking." | | 3 | "She put him on speaker" | | 4 | "She ended the call." | | 5 | "Her breath came back to" | | 6 | "She gave it a wide" | | 7 | "Her voice dropped flat and" | | 8 | "She counted eleven." | | 9 | "Their eyes gave back the" | | 10 | "Her voice again, and again" | | 11 | "She never caught it head-on" | | 12 | "She lifted her chin at" | | 13 | "She answered on the second" | | 14 | "She pressed the power button," | | 15 | "Her half and his, word" | | 16 | "It rolled past the point" | | 17 | "She said them." | | 18 | "She crossed the line of" | | 19 | "Her footsteps arrived a half-beat" |
| | ratio | 0.311 | |
| 54.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 74 | | matches | | 0 | "The gates of Richmond Park" | | 1 | "Rory swung over them at" | | 2 | "The Heartstone Pendant lay against" | | 3 | "It had kept a double-beat" | | 4 | "A compass cut from gemstone" | | 5 | "Her phone buzzed." | | 6 | "She started walking." | | 7 | "The road unspooled pale under" | | 8 | "A plane should have been" | | 9 | "The sky sat empty." | | 10 | "She put him on speaker" | | 11 | "Chilli oil from the Golden" | | 12 | "She ended the call." | | 13 | "The park took the click" | | 14 | "The silence had a floor" | | 15 | "Her breath came back to" | | 16 | "Dew silvered the grass on" | | 17 | "The first deer stood at" | | 18 | "She gave it a wide" | | 19 | "Her voice dropped flat and" |
| | ratio | 0.811 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 1 | | matches | | 0 | "She gave it a wide berth and it turned with her — not its head, its whole body, a slow swivel on hooves that made no sound." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.045 | | leniency | 0.091 | | rawRatio | 0 | | effectiveRatio | 0 | |