Run: 2026-02-19-01KHTXDY139HZ6RBB2PCW842QW

Run Details

Duration:
9.3s
Cost:
$0.002382

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="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. 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 low hum of conversation settled around the bar like a worn blanket. Rory traced the condensation on her whiskey glass, her fingers brushing against the small crescent scar on her left wrist. The green neon sign outside flickered, casting intermittent shadows across the worn wooden floor of The Raven's Nest. She didn't notice him at first. The bar was Silas' domain, a place of familiar shadows and muted conversations. When the bell above the door chimed, she was lost in her own thoughts, replaying the day's deliveries, the monotonous rhythm of her part-time job. "Rory?" The voice cut through the ambient noise. Familiar. Impossible. She looked up. Evan stood there, his silhouette different—sharper, harder than she remembered. The years had chiseled something unrecognizable into his features. "You're the last person I expected to see here," he said, sliding onto the stool next to her. Silas, polishing a glass behind the bar, caught Rory's eye. A silent understanding passed between them. His hazel eyes narrowed almost imperceptibly, a protective glint beneath his grey-streaked auburn hair. Rory's grip tightened around her glass. "Some places are smaller than you think." Evan's laugh was different. Harder. Less genuine. "You look... good," he said, the words hanging between them like a challenge. The bar's walls, covered in old maps and black-and-white photographs, seemed to close in. Memories pressed against the edges of their conversation, unspoken and sharp.
total_cost0.0023815999999999998

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount238
totalAiIsmAdverbs0
found(empty)
highlights(empty)
100.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount238
totalAiIsms6
found
0
word"traced"
count1
1
word"flickered"
count1
2
word"familiar"
count2
3
word"glint"
count1
4
word"unspoken"
count1
highlights
0"traced"
1"flickered"
2"familiar"
3"glint"
4"unspoken"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences23
matches(empty)
80.75% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences23
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences25
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords233
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
76.11% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions6
wordCount203
uniqueNames4
maxNameDensity1.48
worstName"Rory"
maxWindowNameDensity1.5
worstWindowName"Rory"
discoveredNames
Raven1
Nest1
Silas1
Rory3
persons
0"Raven"
1"Silas"
2"Rory"
places(empty)
globalScore0.761
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences16
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount233
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences25
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs10
mean23.3
std14.46
cv0.621
sampleLengths
051
144
21
39
422
518
630
713
820
925
90.01% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences23
matches
0"was lost"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs31
matches(empty)
28.57% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences25
ratio0.04
matches
0"Evan stood there, his silhouette different—sharper, harder than she remembered."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount73
adjectiveStacks0
stackExamples(empty)
adverbCount1
adverbRatio0.0136986301369863
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences25
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences25
mean9.32
std6.45
cv0.693
sampleLengths
013
120
218
36
413
525
61
77
81
91
103
1110
129
1318
1410
156
1614
176
187
194
201
212
2213
2314
2411
100.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.6
totalSentences25
uniqueOpeners15
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences19
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount5
totalSentences19
matches
0"She didn't notice him at"
1"She looked up."
2"he said, sliding onto the"
3"His hazel eyes narrowed almost"
4"he said, the words hanging"
ratio0.263
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount18
totalSentences19
matches
0"The low hum of conversation"
1"Rory traced the condensation on"
2"The green neon sign outside"
3"She didn't notice him at"
4"The bar was"
5"The voice cut through the"
6"She looked up."
7"Evan stood there, his silhouette"
8"The years had chiseled something"
9"he said, sliding onto the"
10"Silas, polishing a glass behind"
11"A silent understanding passed between"
12"His hazel eyes narrowed almost"
13"Rory's grip tightened around her"
14"Evan's laugh was different."
15"he said, the words hanging"
16"The bar's walls, covered in"
17"Memories pressed against the edges"
ratio0.947
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences19
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences9
technicalSentenceCount0
matches(empty)
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"he said, the words hanging between them like a challenge"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
79.1811%