Run: 2026-02-19-01KHTQYGHXF0XXCR5EHEWSZRDJ

Run Details

Duration:
47.3s
Cost:
$0.025447
Provider:
OpenAI

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 Raven’s Nest smelled of aged oak and spilled ale. Green neon from the sign outside slashed across the floor. Photographs in battered frames crowded the walls. Maps pinned to cork gave the room a patchwork of a time long gone. Aurora stepped around a cluster of stools. She slid off her jacket, leather stiff from sun and rain, left it draped across a chair. Damp strands of black hair clung to her neck. Her eyes scanned the bar. At the far end, a man stood behind the counter. His hazel eyes locked on her. A flicker of memory burned across his face. Aurora’s breath caught. He froze mid‐pour, then set the bottle down. Each step sounded on worn floorboards as he left the raised platform. He came closer, that faint limp in his left leg as familiar as the silver signet ring on his right hand. She raised her palm. Shoulders tight. He stopped a few feet away. No words. Just the weight of his gaze. Aurora eased onto a stool. Jacket bumping the seat. The bar’s warmth pressed against her back. She pressed her palm to the scar on her left wrist, half‐hidden by her sleeve. He rested an elbow on the counter. Leaned in. You. Her throat narrowed. She nodded once. Could feel time stretch between them. I’ve missed you. He slid a dark glass across the counter. No question in his gesture. Just the offer of something familiar. Aurora traced the rim. Liquor sloshed inside, dark as old regrets. How long has it been? Four years. He tapped the glass twice. The signet ring catching the light. Long enough. She pressed her lips together. Silence dripped thicker than conversation. I heard you left Cardiff. Her gaze flicked to the maps. Wales, England, Europe. He always studied geography like a lover. She rested a finger on the edge of a map marked Prague. He watched her hand. Prague changed you. She tugged at her jacket. Heat pressed on her collarbone. Not as much as Prague changed you. He let the glass slide back. Only half empty. Same as when she’d last spilled secrets into it. You ghosted me. She kept her voice low. Maybe too low. I had reasons. He closed his eyes, as if recalling the moment she vanished. Then opened them. A hard gleam. I thought you were dead. Her throat clenched. The bar’s crowd dimmed to a murmur around them. Wrong. He reached under the counter. Pulled out a battered flask. Set two pours on the bar. To ghosts. She lifted the glass. Metal cold against her palm. He nudged hers. To ghosts. They drank. Heat cut through her in familiar scars. He lingered on her face, memorising lines etched since they’d parted. You look different. She caught her reflection in a mirror behind him. Dark circles under bright blue eyes. Skin pale where she’d stopped sleeping. Life’s kind. He watched her swallow. Spoke around the glass. You weren’t easy to find. She set the glass down. Her fingers trembled against the wood grain. I wasn’t looking to be found. Silas tapped the counter three times. A code older than their first meeting. She knew what it meant. Ready when you are. She nodded. An invitation. Both of them braced for something neither could name. He leaned back. Limping slightly as he shifted weight. Hand tucked into his pocket. So. She inhaled the hush between them. Felt years coil and twist in the air. So. Neither spoke. Music thrummed from hidden speakers. The door rattled as someone entered. Cold air spilled into the room. Silas turned, straightened his apron. Guests at the far end of the bar needed tending. Aurora rose, pulled her jacket back on. She paused, hand on the doorframe. He glanced over his shoulder. The ring on his finger tapped once against the wood. Stay. She met his gaze. No words. Just the echo of what once was. Then she stepped out into the neon night.
created_at"2026-02-19T10:43:20.257Z" 2/19/2026, 10:43:20 AM
model"openai/o4-mini-high-2025-04-16"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency6756
moderation_latency(null)
generation_time47196
tokens_prompt1094
tokens_completion1637
native_tokens_prompt982
native_tokens_completion5538
native_tokens_completion_images0
native_tokens_reasoning4672
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0254474
router(null)
provider_responses
0
endpoint_id"60020533-2fb2-4aa1-9454-181029fd52de"
id"resp_0d06d89c43960451016996e94855cc8197a78a6deeb58b2c75"
is_byokfalse
latency149
model_permaslug"openai/o4-mini-high-2025-04-16"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771497800-g7krQGSzkgVe9zNSvP0A"
upstream_id"resp_0d06d89c43960451016996e94855cc8197a78a6deeb58b2c75"
total_cost0.0254474
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
92.48% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount665
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
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)
wordCount665
totalAiIsms15
found
0
word"scanned"
count1
1
word"flicker"
count1
2
word"familiar"
count3
3
word"weight"
count2
4
word"warmth"
count1
5
word"could feel"
count1
6
word"traced"
count1
7
word"silence"
count1
8
word"flicked"
count1
9
word"etched"
count1
10
word"trembled"
count1
11
word"echo"
count1
highlights
0"scanned"
1"flicker"
2"familiar"
3"weight"
4"warmth"
5"could feel"
6"traced"
7"silence"
8"flicked"
9"etched"
10"trembled"
11"echo"
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
narrationSentences118
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences118
filterMatches
0"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences118
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen21
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords665
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount665
uniqueNames8
maxNameDensity0.75
worstName"Aurora"
maxWindowNameDensity1.5
worstWindowName"Prague"
discoveredNames
Raven1
Nest1
Cardiff1
England1
Europe1
Prague3
Aurora5
You4
persons
0"Raven"
1"Nest"
2"Aurora"
3"You"
places
0"Cardiff"
1"England"
2"Europe"
3"Prague"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences53
glossingSentenceCount1
matches
0"as if recalling the moment she vanished"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount665
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences118
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs58
mean11.47
std11.18
cv0.975
sampleLengths
041
162
23
341
46
514
631
79
81
912
103
1119
1211
135
142
1511
162
1710
185
1928
204
213
2210
237
2418
253
268
273
2817
295
3012
311
3216
332
3412
352
3620
373
3821
392
408
415
4212
436
4418
454
4613
4714
481
4914
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences118
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs127
matches
0"wasn’t looking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences118
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount665
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.03308270676691729
lyAdverbCount2
lyAdverbRatio0.0030075187969924814
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences118
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences118
mean5.64
std3.31
cv0.587
sampleLengths
010
110
27
314
47
517
69
75
810
96
108
113
128
1312
1421
154
162
176
182
196
205
214
227
2315
247
252
261
273
283
296
303
318
325
336
344
357
365
372
385
396
402
415
425
435
446
453
467
4712
484
493
80.51% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.4830508474576271
totalSentences118
uniqueOpeners57
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount7
totalSentences100
matches
0"Just the weight of his"
1"Just the offer of something"
2"Only half empty."
3"Maybe too low."
4"Then opened them."
5"Just the echo of what"
6"Then she stepped out into"
ratio0.07
40.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount45
totalSentences100
matches
0"She slid off her jacket,"
1"Her eyes scanned the bar."
2"His hazel eyes locked on"
3"He froze mid‐pour, then set"
4"He came closer, that faint"
5"She raised her palm."
6"He stopped a few feet"
7"She pressed her palm to"
8"He rested an elbow on"
9"Her throat narrowed."
10"She nodded once."
11"I’ve missed you."
12"He slid a dark glass"
13"He tapped the glass twice."
14"She pressed her lips together."
15"I heard you left Cardiff."
16"Her gaze flicked to the"
17"He always studied geography like"
18"She rested a finger on"
19"He watched her hand."
ratio0.45
75.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount77
totalSentences100
matches
0"The Raven’s Nest smelled of"
1"Photographs in battered frames crowded"
2"Maps pinned to cork gave"
3"Aurora stepped around a cluster"
4"She slid off her jacket,"
5"Her eyes scanned the bar."
6"His hazel eyes locked on"
7"A flicker of memory burned"
8"Aurora’s breath caught."
9"He froze mid‐pour, then set"
10"Each step sounded on worn"
11"He came closer, that faint"
12"She raised her palm."
13"He stopped a few feet"
14"Aurora eased onto a stool."
15"Jacket bumping the seat."
16"The bar’s warmth pressed against"
17"She pressed her palm to"
18"He rested an elbow on"
19"Her throat narrowed."
ratio0.77
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences100
matches(empty)
ratio0
87.91% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences13
technicalSentenceCount1
matches
0"He closed his eyes, as if recalling the moment she vanished."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
89.1967%