| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 40 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.05 | | effectiveRatio | 0.05 | |
| 92.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2030 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "softly" | | 1 | "gently" | | 2 | "carefully" |
| |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 72.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2030 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "flickered" | | 1 | "electric" | | 2 | "measured" | | 3 | "weight" | | 4 | "flicked" | | 5 | "silence" | | 6 | "could feel" | | 7 | "tension" | | 8 | "crystal" |
| |
| 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 | 106 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 106 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 126 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2025 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1475 | | uniqueNames | 14 | | maxNameDensity | 0.47 | | worstName | "Silas" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Carter | 1 | | Blackwood | 1 | | Started | 1 | | London | 1 | | Wales | 1 | | Prague | 1 | | Evan | 1 | | Rory | 4 | | Silas | 7 | | Thai | 1 | | Leeds | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Blackwood" | | 4 | "Evan" | | 5 | "Rory" | | 6 | "Silas" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Wales" | | 3 | "Prague" |
| | globalScore | 1 | | windowScore | 1 | |
| 14.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like walking into colder water" | | 1 | "as if cataloguing the detail without permission to inquire" | | 2 | "not quite reach her eyes" | | 3 | "something like pride, the new hardness under" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2025 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 126 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 53.29 | | std | 35.89 | | cv | 0.673 | | sampleLengths | | 0 | 77 | | 1 | 96 | | 2 | 24 | | 3 | 4 | | 4 | 92 | | 5 | 12 | | 6 | 13 | | 7 | 89 | | 8 | 9 | | 9 | 2 | | 10 | 84 | | 11 | 31 | | 12 | 13 | | 13 | 18 | | 14 | 73 | | 15 | 147 | | 16 | 49 | | 17 | 53 | | 18 | 24 | | 19 | 39 | | 20 | 38 | | 21 | 75 | | 22 | 64 | | 23 | 76 | | 24 | 13 | | 25 | 92 | | 26 | 27 | | 27 | 91 | | 28 | 13 | | 29 | 72 | | 30 | 56 | | 31 | 56 | | 32 | 125 | | 33 | 68 | | 34 | 101 | | 35 | 49 | | 36 | 11 | | 37 | 49 |
| |
| 95.33% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 106 | | matches | | 0 | "been sanded" | | 1 | "been eighteen" | | 2 | "been unfinished" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 233 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 9 | | flaggedSentences | 10 | | totalSentences | 126 | | ratio | 0.079 | | matches | | 0 | "Rain had slicked the streets to a dull shine; her shoulder-length black hair clung damp to her neck." | | 1 | "His hair had gone greyer at the temples, the auburn now shot through with iron; the neatly trimmed beard matched it." | | 2 | "The scar on her left wrist—the small pale crescent she barely noticed anymore—brushed the wood as she reached for the glass." | | 3 | "The silence that followed was not empty; it was densely furnished with everything they had never said the last time, and everything time had written in the margins since." | | 4 | "They had met through a friend of a friend at a party that spilled into dawn; he had treated her like an equal rather than a student’s daughter." | | 5 | "A couple at the far end of the bar laughed softly at something private; the sound only made their own quiet denser." | | 6 | "Or worse—pity." | | 7 | "The signet ring caught light once more—the only bright thing he still wore." | | 8 | "She thought of all the versions: the Leeds girl who nicknamed herself Rory because it felt sharper; the reluctant pre-law student; the woman who learned that love could turn rigid and cruel; the delivery driver who knew which back alleys never locked; the cool-headed survivor sitting across from a retired spymaster who had once treated her like someone worth mentoring." | | 9 | "“The flat’s small. The pipes knock when it rains. The rent is fair if you help open some mornings.” His hazel eyes held hers, and for a breath she saw the younger man beneath the grey—the one who had once argued ethics over bad pad thai and believed, fiercely, that people could still be salvaged from their own bad histories." |
| |
| 83.75% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1489 | | adjectiveStacks | 1 | | stackExamples | | 0 | "careful, cool-headed survivor" |
| | adverbCount | 77 | | adverbRatio | 0.051712558764271326 | | lyAdverbCount | 23 | | lyAdverbRatio | 0.01544660846205507 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 126 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 126 | | mean | 16.07 | | std | 12.65 | | cv | 0.787 | | sampleLengths | | 0 | 16 | | 1 | 27 | | 2 | 18 | | 3 | 9 | | 4 | 4 | | 5 | 3 | | 6 | 2 | | 7 | 26 | | 8 | 21 | | 9 | 17 | | 10 | 12 | | 11 | 18 | | 12 | 4 | | 13 | 20 | | 14 | 4 | | 15 | 9 | | 16 | 21 | | 17 | 27 | | 18 | 35 | | 19 | 11 | | 20 | 1 | | 21 | 4 | | 22 | 8 | | 23 | 1 | | 24 | 26 | | 25 | 11 | | 26 | 36 | | 27 | 16 | | 28 | 4 | | 29 | 3 | | 30 | 2 | | 31 | 2 | | 32 | 5 | | 33 | 3 | | 34 | 26 | | 35 | 12 | | 36 | 21 | | 37 | 17 | | 38 | 2 | | 39 | 29 | | 40 | 6 | | 41 | 5 | | 42 | 2 | | 43 | 13 | | 44 | 5 | | 45 | 3 | | 46 | 10 | | 47 | 33 | | 48 | 27 | | 49 | 2 |
| |
| 65.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4126984126984127 | | totalSentences | 126 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 94 | | matches | | 0 | "Then he shifted his weight" | | 1 | "Then his voice arrived, lower" | | 2 | "Then Prague happened for him" |
| | ratio | 0.032 | |
| 62.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 94 | | matches | | 0 | "She had walked past three" | | 1 | "She pushed inside." | | 2 | "She almost turned around." | | 3 | "His hair had gone greyer" | | 4 | "She crossed the floor." | | 5 | "He came around the end" | | 6 | "He gestured toward the stools." | | 7 | "She took one." | | 8 | "He moved behind the bar" | | 9 | "He set one glass in" | | 10 | "His gaze flicked to it" | | 11 | "He stopped, mouth tightening" | | 12 | "She gave a short, dry" | | 13 | "He swirled the whiskey" | | 14 | "She had been eighteen, bright" | | 15 | "He had been forty-something then," | | 16 | "They had met through a" | | 17 | "she said now" | | 18 | "She did not name Evan" | | 19 | "She could feel him reading" |
| | ratio | 0.394 | |
| 45.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 94 | | matches | | 0 | "The green neon of The" | | 1 | "Aurora Carter noticed it first" | | 2 | "Rain had slicked the streets" | | 3 | "She had walked past three" | | 4 | "This one stopped her." | | 5 | "She pushed inside." | | 6 | "The air thick with the" | | 7 | "The place felt less like" | | 8 | "A handful of patrons sat" | | 9 | "She almost turned around." | | 10 | "Silas Blackwood looked up." | | 11 | "Hazel eyes found her blue" | | 12 | "His hair had gone greyer" | | 13 | "The silver signet ring still" | | 14 | "She crossed the floor." | | 15 | "Every step felt like walking" | | 16 | "He came around the end" | | 17 | "The quiet authority remained, but" | | 18 | "He gestured toward the stools." | | 19 | "She took one." |
| | ratio | 0.83 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 28.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 8 | | matches | | 0 | "The air thick with the ghosts of whiskey and damp wool and something older, like tobacco that had never quite left the grain of the wood." | | 1 | "For a long five count he simply stared, as though his mind were running some internal inventory of faces and failing at first to reconcile the one in front of h…" | | 2 | "He came around the end of the bar with that same careful limp and stopped two paces short of her, as if proximity itself needed negotiating." | | 3 | "The silence that followed was not empty; it was densely furnished with everything they had never said the last time, and everything time had written in the marg…" | | 4 | "For three months afterward they had circled the same three London pubs whenever she came down from Wales, talking about everything that was not his job and almo…" | | 5 | "She could feel him reading the cool composure she wore like a second set of bones, the out-of-the-box quickness that had once made him smile with something like…" | | 6 | "She thought of the girl she had been, the one who still believed she might argue the world into fairness, and how that girl would not recognise the careful, coo…" | | 7 | "She thought of all the versions: the Leeds girl who nicknamed herself Rory because it felt sharper; the reluctant pre-law student; the woman who learned that lo…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 1 | | matches | | 0 | "He flexed, the signet ring dull now" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 40 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.1 | | effectiveRatio | 0.05 | |