Run: 2026-09-23-01M36R0XRBFY61FHTD3KGH7CZP

Run Details

Duration:
57.5s
Cost:
$0.002134
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="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</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> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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
Rain sheeted across Soho and turned the green neon above the Raven’s Nest into a wavering smear. Quinn stood beneath a shop awning opposite the bar, collar up, one hand closed around the recorder in her coat pocket. Through the front window, she saw old maps and black-and-white photographs crowded the walls. A man near the bar passed a folded paper packet to a thin, pale customer. The customer tucked it inside his sleeve. Quinn watched the man leave. Rafe Dallow wore a charcoal coat and walked with his head down. He carried no umbrella. A black leather case swung from his right hand, its corners polished pale from use. Quinn had seen his name in three statements and his face in the grainy stills from a warehouse camera. Each time, someone had handed him something and denied it afterward. She stepped off the kerb. Dallow reached the mouth of the lane before he looked back. His gaze caught on her badge. His stride broke for half a step. “Dallow. Stop.” He ran. Quinn pushed through a knot of late-night drinkers. A cyclist swore as she cut across the road; a bus blared its horn and dragged a fan of water over the pavement. Dallow hurdled a stack of delivery crates and drove into a narrow passage between a closed bakery and a shuttered phone shop. Quinn cleared the crates without breaking stride. Her left wrist struck the brick wall. Pain flashed beneath the worn leather band of her watch. “Police! Stop now.” Dallow glanced over his shoulder. Rain shone on his face. He raised the leather case as if to show it to her, then swung it into a bin. The lid clanged and bounced. Quinn kept after him. At the end of the passage, he burst onto a main road. Headlights washed the wet pavement. Dallow waited for no gap; he darted between two cars and reached the opposite kerb as brakes screamed behind him. Quinn held up a palm to stop a taxi, then ran after him when it swept past. She took the crossing on the red light. A delivery van’s mirror clipped her sleeve. By the time she reached the other side, Dallow had vanished into a crowd funneling down the pavement. She scanned faces. A man in a flat cap turned away from a bus shelter. A woman dragged a wheeled suitcase through a puddle. Then Quinn spotted the charcoal coat, a block ahead, moving against the crowd. “Dallow!” He shouldered through people and cut towards Camden. Quinn followed, her shoes slipping on the polished paving stones. The street narrowed under railway arches. The pubs thinned, replaced by boarded shopfronts and a line of bins overflowing with soaked cardboard. Her radio crackled against her shoulder. “Quinn, status?” “Foot pursuit heading north. Camden side.” “Backup’s seven minutes out.” “Tell them to move.” She switched off the channel before dispatch could ask for more. Dallow ducked beneath a sagging metal sign and crossed into a service yard. Quinn saw his coat flash at the far end. The yard ended at a blank wall. No door, no alley. Dallow had disappeared. Quinn reached the wall and checked each side. Water gurgled through a drain. A delivery entrance stood open behind a stack of pallets, but the dust on the floor lay unmarked. She heard a metal clang below her feet. A strip of iron grating covered a stairwell near the wall. Dallow’s hand gripped the rail beneath it. He dropped down the steps and hauled the grating shut above him. Quinn pulled at the cover. It shifted an inch, then jammed against a chain. A rusted sign hung from one bolt: CAMDEN TOWN—CLOSED. The station entrance had been sealed for decades. She crouched and looked through the gap. A narrow staircase descended into darkness. At the bottom, a weak amber light moved across the wall. Her radio spat static. “Quinn, confirm your position.” “Service yard off Kentish Town Road. I’ve got a stairwell.” “Don’t enter an unverified structure. Wait for backup.” Quinn ran her thumb over the edge of the grate. The chain held, but a padlock dangled open from the wall. Someone had cut it. Dallow had left the iron cover resting on its frame, ready to swing shut. The amber light below vanished. Quinn drew her torch and descended. The stairs smelled of wet stone and old dust. Her boots rang against the iron treads. At the bottom, a tiled passage opened onto the abandoned station’s platform. Half the bulbs had burned out. Old advertising posters peeled from the walls, their lettering blurred by damp. The tracks lay under a crust of rubbish, but a line of fresh shoeprints crossed the platform and vanished through a staff door. Quinn’s torch picked out a bone-white disk set into the door’s brass plate. A slot ran through its centre. Dallow’s wet fingerprint marked the metal below it. She took a photograph, then tested the handle. It did not move. Beyond the door, something scraped over stone. Voices murmured, rising and falling beneath the ceiling. Quinn put her ear against the panel. A woman laughed once; a man answered in a language she didn’t recognise. Then came the clatter of a cart. She reached for her radio. Only static answered. The scrape of a shoe came from the passage behind her. Quinn turned, torch raised. No one stood on the stairs. Rain ticked through the grate overhead. She checked the door again. The bone disk sat in the brass plate like a key. A narrow groove circled its edge, worn smooth by repeated use. Quinn took a pair of gloves from her pocket and pressed the disk. It rocked in the slot. The handle gave a dry click. Quinn paused with one hand on it. No uniform waited behind her. No signal reached the station. The door opened onto ground her maps couldn’t show, and the footsteps on the other side had stopped. She pulled out her phone and sent her location to the duty inspector. The message wheel spun, then failed. “Seven minutes,” she muttered, staring at the dead screen. The door creaked inward. Warm air brushed her face, thick with tobacco smoke, hot metal and the sharp tang of chemicals. The passage beyond opened onto a platform crowded with stalls. People moved beneath strings of bare bulbs, their coats dripping onto the old tiles. A woman in a butcher’s apron arranged silver rings in a glass tray. Beside her, a man sold corked bottles of liquid the colour of bruises. A row of cages stood beneath a hand-painted sign. Something inside one of them tapped at the wire with a jointed finger. Quinn kept her torch low. A stallholder glanced at the badge clipped inside her coat, then looked away. No one called for help. No one looked surprised to see her. Across the platform, Dallow had reached a narrow staircase that climbed into a passage between two stalls. He pressed a bone disk into a lockbox on the wall. The box opened, and he took out a black envelope. A woman in a red scarf held out her hand. Quinn stepped through the door. A broad man at the nearest stall shifted his weight. His eyes dropped to her holster. “Keep that covered, officer.” “Move.” He looked past her towards Dallow. The woman in the red scarf slid the envelope into her coat. “Police,” Quinn called. “Rafe Dallow, stay where you are.” Several conversations stopped. A coin rolled from a table and struck the platform edge. Dallow turned. For a heartbeat, his face showed no surprise, only irritation. Then he shoved the woman aside and took the staircase two steps at a time. Quinn could retreat through the door, wait for backup and let him vanish into the passages. She could draw her weapon in a crowd that watched her with hands tucked beneath coats. The radio hissed at her shoulder. She looked at the bone disk in the lockbox, the cages, the glass trays, the people who had made room for Dallow without asking what he carried. She drew her hand away from the holster. “Get out of my way.” Quinn followed him up the stairs, keeping one hand on the rail and the other free. At the landing, she cut between the stalls after the charcoal coat as the market’s noise closed around her.
created_at"2026-09-23T09:02:23.511Z" 9/23/2026, 9:02:23 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency14001
moderation_latency(null)
generation_time57440
tokens_prompt1104
tokens_completion2305
native_tokens_prompt984
native_tokens_completion4071
native_tokens_completion_images0
native_tokens_reasoning2315
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.0021339
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790154143-kY6N98dtRqpt35Vz4gy6"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790154143-FREtPIHgOxvLnGfdlBjb"
upstream_id"resp_05038e12d1889b89016ab3959fa17487d18c2ed14201cad8a3"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_05038e12d1889b89016ab3959fa17487d18c2ed14201cad8a3"
is_byokfalse
latency619
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0021339
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences16
tagDensity0.125
leniency0.25
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1402
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
82.17% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1402
totalAiIsms5
found
0
word"wavering"
count1
1
word"scanned"
count1
2
word"structure"
count1
3
word"footsteps"
count1
4
word"weight"
count1
highlights
0"wavering"
1"scanned"
2"structure"
3"footsteps"
4"weight"
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
emotionTells1
narrationSentences139
matches
0"looked surprised"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences139
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences153
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1401
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
60.31% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions47
wordCount1338
uniqueNames8
maxNameDensity1.79
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho1
Raven1
Nest1
Dallow15
Quinn24
Camden1
Several1
Rain3
persons
0"Raven"
1"Dallow"
2"Quinn"
3"Rain"
places
0"Soho"
1"Camden"
globalScore0.603
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences107
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1401
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences153
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs58
mean24.16
std21.93
cv0.908
sampleLengths
074
15
261
35
424
52
62
753
824
93
1037
1137
1250
1337
141
1540
166
172
186
194
204
2133
2214
2339
2430
2555
264
274
2810
298
3039
315
326
3369
3427
3512
3642
378
3827
3945
406
4135
4219
439
4493
4530
4648
475
4816
494
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences139
matches
0"been sealed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs232
matches(empty)
68.16% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount3
flaggedSentences4
totalSentences153
ratio0.026
matches
0"A cyclist swore as she cut across the road; a bus blared its horn and dragged a fan of water over the pavement."
1"Dallow waited for no gap; he darted between two cars and reached the opposite kerb as brakes screamed behind him."
2"A rusted sign hung from one bolt: CAMDEN TOWN—CLOSED."
3"A woman laughed once; a man answered in a language she didn’t recognise."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1344
adjectiveStacks1
stackExamples
0"grating shut above him."
adverbCount22
adverbRatio0.01636904761904762
lyAdverbCount2
lyAdverbRatio0.001488095238095238
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences153
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences153
mean9.16
std5.06
cv0.553
sampleLengths
017
121
214
315
47
55
612
74
815
919
1011
115
1211
136
147
152
162
178
1823
1922
207
217
2210
233
245
255
2618
275
284
2912
305
3120
3217
338
347
3518
363
3712
389
3913
401
418
4210
436
4416
456
462
476
484
494
46.08% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.28104575163398693
totalSentences153
uniqueOpeners43
98.04% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences136
matches
0"Then Quinn spotted the charcoal"
1"Then came the clatter of"
2"Only static answered."
3"Then he shoved the woman"
ratio0.029
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences136
matches
0"He carried no umbrella."
1"She stepped off the kerb."
2"His gaze caught on her"
3"His stride broke for half"
4"Her left wrist struck the"
5"He raised the leather case"
6"She took the crossing on"
7"She scanned faces."
8"He shouldered through people and"
9"Her radio crackled against her"
10"She switched off the channel"
11"She heard a metal clang"
12"He dropped down the steps"
13"It shifted an inch, then"
14"She crouched and looked through"
15"Her radio spat static."
16"Her boots rang against the"
17"She took a photograph, then"
18"It did not move."
19"She reached for her radio."
ratio0.221
44.56% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount113
totalSentences136
matches
0"Rain sheeted across Soho and"
1"Quinn stood beneath a shop"
2"A man near the bar"
3"The customer tucked it inside"
4"Quinn watched the man leave."
5"Rafe Dallow wore a charcoal"
6"He carried no umbrella."
7"A black leather case swung"
8"Quinn had seen his name"
9"Each time, someone had handed"
10"She stepped off the kerb."
11"Dallow reached the mouth of"
12"His gaze caught on her"
13"His stride broke for half"
14"Quinn pushed through a knot"
15"A cyclist swore as she"
16"Dallow hurdled a stack of"
17"Quinn cleared the crates without"
18"Her left wrist struck the"
19"Pain flashed beneath the worn"
ratio0.831
36.76% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences136
matches
0"By the time she reached"
ratio0.007
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences64
technicalSentenceCount1
matches
0"She could draw her weapon in a crowd that watched her with hands tucked beneath coats."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
87.50% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she muttered (mutter)"
dialogueSentences16
tagDensity0.125
leniency0.25
rawRatio0.5
effectiveRatio0.125
90.5861%