Run: 2026-02-19-01KHTYMMCT789CJDGYA57GVKJF

Run Details

Duration:
7.0s
Cost:
$0.001990

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4415" name="Lucien Moreau" aliases="Lucien, Luc, the Frenchman" pronouns="he/him" species="Half-Demon" storyRole="Ally"> <eyeColor>heterochromatic — one amber, one black</eyeColor> <hair>slicked-back platinum blond</hair> <height>5'11"</height> <age>32</age> <cane>ivory-handled cane that conceals a thin blade</cane> <dress>tailored charcoal suits</dress> <description>An impeccably dressed fixer and information broker in London's supernatural underworld. He speaks four languages fluently.</description> <backstory>Born in Marseille to a human mother and a demon father from the realm of Avaros.</backstory> </character> <location id="858" name="Eva's Flat" aliases="Eva's place, the flat on Brick Lane" realm="Earth"> <cat>tabby cat named Ptolemy</cat> <security>three deadbolts on the front door</security> <description>A cramped one-bedroom flat above a curry house on Brick Lane, East London. Every surface is covered with books, scrolls, and research notes.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the romance genre. Two people who parted on complicated terms are forced together again when one shows up unannounced at the other's flat. There's history between them — attraction, hurt, and things left unsaid. Write the scene from the moment the door opens. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The sharp rap of knuckles against wood sliced through the quiet of Eva's flat. Rory froze, her hand suspended midway through folding a well-worn research paper. Ptolemy, the tabby cat, stretched lazily across a stack of dusty books, utterly unconcerned. Another knock. Sharper. More insistent. She knew that rhythm. Those precise, controlled strikes. Lucien. Rory's pulse quickened. Her fingers traced the small crescent scar on her left wrist — a nervous habit she'd never quite shaken. She crossed the room, each step deliberate. The three deadbolts felt heavy beneath her touch. When she opened the door, Lucien stood immaculate as always, charcoal suit unwrinkled, platinum hair perfectly slicked back. His mismatched eyes — one amber, one black — swept over her. "You look like hell, chérie," he said. Rory leaned against the doorframe, blocking his entry. "Charming as ever, Luc." A hint of a smile played at the corner of his mouth. That dangerous, knowing smile that had gotten her into trouble before. That had gotten them both into trouble. "May I come in?"
total_cost0.0019896

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences3
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
12.79% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount172
totalAiIsmAdverbs3
found
0
adverb"lazily"
count1
1
adverb"utterly"
count1
2
adverb"perfectly"
count1
highlights
0"lazily"
1"utterly"
2"perfectly"
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)
12.79% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount172
totalAiIsms3
found
0
word"pulse"
count1
1
word"quickened"
count1
2
word"traced"
count1
highlights
0"pulse"
1"quickened"
2"traced"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences20
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences20
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences22
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen18
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords174
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
56.83% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions6
wordCount161
uniqueNames3
maxNameDensity1.86
worstName"Rory"
maxWindowNameDensity1.5
worstWindowName"Rory"
discoveredNames
Eva1
Lucien2
Rory3
persons
0"Eva"
1"Lucien"
2"Rory"
places(empty)
globalScore0.568
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences12
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount174
matches(empty)
15.15% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences22
matches
0"knew that rhythm"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs10
mean17.4
std12.27
cv0.705
sampleLengths
040
15
29
322
433
512
67
712
830
94
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences20
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs27
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences22
ratio0.091
matches
0"Her fingers traced the small crescent scar on her left wrist — a nervous habit she'd never quite shaken."
1"His mismatched eyes — one amber, one black — swept over her."
96.48% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount159
adjectiveStacks0
stackExamples(empty)
adverbCount7
adverbRatio0.0440251572327044
lyAdverbCount3
lyAdverbRatio0.018867924528301886
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences22
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences22
mean7.91
std5.27
cv0.667
sampleLengths
014
112
214
32
41
52
64
74
81
93
1019
117
128
1318
1412
157
168
174
1812
1911
207
214
95.45% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.7727272727272727
totalSentences22
uniqueOpeners17
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences15
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount4
totalSentences15
matches
0"She knew that rhythm."
1"Her fingers traced the small"
2"She crossed the room, each"
3"His mismatched eyes — one"
ratio0.267
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount14
totalSentences15
matches
0"The sharp rap of knuckles"
1"Rory froze, her hand suspended"
2"Ptolemy, the tabby cat, stretched"
3"She knew that rhythm."
4"Those precise, controlled strikes."
5"Rory's pulse quickened."
6"Her fingers traced the small"
7"She crossed the room, each"
8"The three deadbolts felt heavy"
9"His mismatched eyes — one"
10"Rory leaned against the doorframe,"
11"A hint of a smile"
12"That dangerous, knowing smile that"
13"That had gotten them both"
ratio0.933
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences15
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences8
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences3
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
76.3166%