Run: 2026-02-19-01KHTR2R7VV00TSMK8DJJ5ZK6M

Run Details

Duration:
39.6s
Cost:
$0.020163
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
Neon green light stained the wet pavement. Aurora held her cycle lock in one hand, pushed past the glass door. A bell ticked once. Inside, low light pooled over grimy maps and black-and-white photographs. Silas crouched behind the bar, polishing a tumbler. His limp made the stool groan as he straightened. One stool free by the far end. Aurora claimed it. Tea? Rory. Silas set a chipped teapot on the oak counter. Steam coiled upward. She twisted her wrist, felt the crescent scar under her sleeve. A shift in voices by the dartboard drew her eye. A woman stood alone, back to the wall. Tailored suit. Hair cropped close. The silhouette looked like someone she used to know. Aurora froze. Rory Carter? The woman turned. Silver streaks masked her dark curls. Her eyes flared. Eva. Time slid backward. Dust motes danced in the beam of light between them. You here on business? She sank onto the stool next to Aurora, fingers settling on the polished wood. I moved to Richmond. Branch office. Needed a change. Aurora traced the grain. Richmond. The same excuse she’d used once. I hear Cardiff suitcases emptied at dawn. A tremor bent Aurora’s gaze to her scar. The cliff path. You fell. I waited an hour for your call. I lost signal. By the time I got reception, you’d left. Eva’s jaw flexed. Then you vanished. Silence settled like smoke. Rain tapped the windows. Why did you leave without a word? Because I thought you’d tell me to go back. Or laugh. The corners of Eva’s mouth twitched. I didn’t laugh. I blamed you. Every promotion, every milestone—I missed your cheers. Or your sarcasm. Either would’ve made me feel less alone. Bar chatter faded. Silas poured another round behind them. On the house. Rory. She exhaled, cupped the mug. Warmth spread across her palms. I wrote you once. Eva’s shoulders hunched. A letter. No return address. Your handwriting, though. Aurora’s chest stung. I burned it. I couldn’t face you. Eva snapped her chin up. You burned it? Because I wasn’t sure what to do with hope. A match struck somewhere at the back. A lone cigarette sparked to life. Smoke curled along the ceiling. I spent years replaying that silence. Asking why. Wondering if you even cared. Aurora studied the maps on the wall. Pins speckled London, Cardiff barely visible in the corner. I was scared. Scared you’d moved on. That your world didn’t need me. Eva’s fingers tapped the coaster. Maybe it didn’t. Pain flickered in her eyes. Aurora leaned forward, voice low. I missed you. Every street I delivered to, I saw your face in the crowd. Eva’s throat bobbed. I envied you. The courage to run, to vanish. Their elbows nearly touched. Words trembled on the edge of forgiveness. Silas cleared his throat. He padded toward the back, the bar’s neon glow reflecting off his signet ring. They sat for a long moment. Rain carved channels down the windowpanes. I’d like a second chance. Eva shook her head once, slowly. So would I. A crooked smile cracked across Aurora’s face. Then let’s start now. Eva pressed her palm to the wood, where Aurora’s mug had left a ring. Tomorrow, same time? As one, they stood. Aurora slung her jacket over her arm. Eva tucked a loose curl behind her ear. Tomorrow. Outside, the rain had eased into a mist. Neon streaked their coats. Side by side they walked into the night, unspoken regrets trailing behind them like fading footprints.
created_at"2026-02-19T10:45:39.199Z" 2/19/2026, 10:45:39 AM
model"openai/o4-mini-high-2025-04-16"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5507
moderation_latency(null)
generation_time39280
tokens_prompt1094
tokens_completion1711
native_tokens_prompt982
native_tokens_completion4337
native_tokens_completion_images0
native_tokens_reasoning3520
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"
usage0.020163
router(null)
provider_responses
0
endpoint_id"60020533-2fb2-4aa1-9454-181029fd52de"
id"resp_0cdd0302e39b9144016996e9d34320819090e60dafcb95ba80"
is_byokfalse
latency115
model_permaslug"openai/o4-mini-high-2025-04-16"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771497939-6lqRggzozDAHdbGzBtRu"
upstream_id"resp_0cdd0302e39b9144016996e9d34320819090e60dafcb95ba80"
total_cost0.020163
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
91.51% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount589
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
40.58% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount589
totalAiIsms7
found
0
word"traced"
count1
1
word"silence"
count2
2
word"warmth"
count1
3
word"flickered"
count1
4
word"trembled"
count1
5
word"unspoken"
count1
highlights
0"traced"
1"silence"
2"warmth"
3"flickered"
4"trembled"
5"unspoken"
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
emotionTells2
narrationSentences111
matches
0"o with hope"
1"was scared"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences111
filterMatches
0"hear"
1"feel"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences111
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen16
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords586
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
47.61% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions38
wordCount586
uniqueNames9
maxNameDensity2.05
worstName"Aurora"
maxWindowNameDensity3
worstWindowName"Aurora"
discoveredNames
Carter1
Aurora12
Richmond2
Cardiff2
Eva10
London1
Silas4
Rory3
You3
persons
0"Carter"
1"Aurora"
2"Eva"
3"Silas"
4"Rory"
5"You"
places
0"Richmond"
1"Cardiff"
2"London"
globalScore0.476
windowScore0.667
94.44% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences45
glossingSentenceCount1
matches
0"looked like someone she used to know"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount586
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences111
matches
0"replaying that silence"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs63
mean9.3
std7.14
cv0.768
sampleLengths
034
117
210
31
41
512
611
732
82
92
1012
111
1213
134
1414
159
1611
177
188
1912
2011
213
223
238
247
2511
266
2723
289
293
301
3110
324
333
348
353
367
375
383
399
4018
4113
4216
4313
445
453
4610
4715
483
499
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences111
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs124
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences111
ratio0.009
matches
0"Every promotion, every milestone—I missed your cheers."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount589
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.027164685908319185
lyAdverbCount3
lyAdverbRatio0.0050933786078098476
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences111
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences111
mean5.28
std3.13
cv0.593
sampleLengths
07
113
24
310
48
59
67
73
81
91
109
113
1211
1310
148
152
163
179
182
192
203
216
223
231
243
2510
264
2714
284
292
303
314
321
336
347
358
363
372
387
393
408
413
423
434
444
457
469
472
486
493
78.08% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4954954954954955
totalSentences111
uniqueOpeners55
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences97
matches
0"Then you vanished."
1"Maybe it didn’t."
2"Then let’s start now."
ratio0.031
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences97
matches
0"His limp made the stool"
1"She twisted her wrist, felt"
2"Her eyes flared."
3"You here on business?"
4"She sank onto the stool"
5"I moved to Richmond."
6"I hear Cardiff suitcases emptied"
7"I waited an hour for"
8"I lost signal."
9"I didn’t laugh."
10"I blamed you."
11"She exhaled, cupped the mug."
12"I wrote you once."
13"Your handwriting, though."
14"I burned it."
15"I couldn’t face you."
16"You burned it?"
17"I spent years replaying that"
18"I was scared."
19"I missed you."
ratio0.258
78.56% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount74
totalSentences97
matches
0"Neon green light stained the"
1"Aurora held her cycle lock"
2"A bell ticked once."
3"Silas crouched behind the bar,"
4"His limp made the stool"
5"Aurora claimed it."
6"Silas set a chipped teapot"
7"Steam coiled upward."
8"She twisted her wrist, felt"
9"A shift in voices by"
10"A woman stood alone, back"
11"Hair cropped close."
12"The silhouette looked like someone"
13"The woman turned."
14"Her eyes flared."
15"Time slid backward."
16"Dust motes danced in the"
17"You here on business?"
18"She sank onto the stool"
19"I moved to Richmond."
ratio0.763
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount4
totalSentences97
matches
0"By the time I got"
1"Because I thought you’d tell"
2"Either would’ve made me feel"
3"Because I wasn’t sure what"
ratio0.041
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences10
technicalSentenceCount0
matches(empty)
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
94.3593%