Run: 2026-07-09-01KX40X9V9TFXCBBGJ5QY0WPBE

Run Details

Duration:
15.3s
Cost:
$0.014100
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 hammered the pavement hard enough to blur the lamps into yellow smears. Detective Harlow Quinn cut through the traffic on Shaftesbury Avenue, one hand clamped around the radio at her shoulder, the other gripping the baton beneath her coat. Her boots struck puddles and broken glass. A bus roared past, throwing a wall of dirty water across the road. It soaked her trousers, her shirt, the leather watch on her left wrist. Ahead, the suspect glanced back. Male. Mid-twenties. Black jacket. Grey scarf pulled across his mouth. One hand pressed against his ribs. Blood marked the sleeve beneath his fingers. Quinn saw his face for half a second beneath the glare of a shopfront—pale skin, narrow nose, a white line cutting through his right eyebrow. “Stop!” He ran faster. Quinn pushed between two tourists sheltering under a red umbrella. The umbrella spun away. Someone cursed. She kept her eyes on the suspect as he slipped into a service alley between a closed theatre and a shuttered restaurant. Her radio crackled. “Quinn, where are you?” “Dean Street, heading south through the alley. Suspect on foot. Male, mid-twenties, black jacket. Send units to Old Compton.” “You want an ambulance?” “He’s bleeding. Send one.” She vaulted a stack of flattened cardboard boxes and landed hard. Her knee jolted. The suspect reached the far end of the alley and shouldered through a metal gate. Quinn hit the gate with enough force to wrench it open. The alley beyond ran between brick walls slick with rain. A fire escape zigzagged overhead. Bin bags split beneath the downpour, spilling orange peel and coffee grounds into the gutter. The suspect had vanished. Quinn slowed. The city pressed close around her. Rain ticked against metal. Water dripped from a drainpipe in a steady, hollow rhythm. She touched the radio. “Control, I’ve lost visual. Keep units moving towards Old Compton.” A shape moved behind the bins. Quinn drew her pistol. “Police. Come out.” A cat burst into the road and disappeared beneath a parked van. Quinn advanced with the pistol held low. Her shoulders stayed square. She scanned the windows, the rooftops, the dark mouths of side passages. A red smear shone on the brick wall. Blood. It led towards a narrow iron door tucked beneath the fire escape. The door stood open by three inches. Quinn reached it and put her back to the wall. She listened. Music pulsed on the other side. Not the muffled bass of a club. Something slower, stranger—strings plucked in a repeating pattern, with a low voice humming beneath them. She pushed the door wide. A stairwell dropped into darkness. The walls had once carried advertisements for a Tube line. Most of the posters had peeled away, exposing old tile. Water streamed down the steps. At the bottom, a green light flickered. Quinn glanced up at the rain-filled alley. The radio crackled again. “Detective, we’ve got a possible sighting near Berwick Street. Can you confirm?” She looked at the blood on the top step. “Negative. I’m following a route underground.” “Underground where?” Quinn started down. “I’ll update you.” The signal broke into static. The stairwell smelled of wet stone, rust and something sweet, like burnt sugar. Quinn kept her pistol out as she descended. Her coat brushed the walls. The music grew louder. At the bottom, an old station platform opened beneath Camden’s streets. Quinn stopped on the final step. The station had no name. No timetable. No rails. Arches stretched into darkness on either side, their tiles stained brown with age. Lanterns hung from chains across the ceiling, each flame burning blue or green. Stalls crowded the platform where ticket machines should have stood. A woman with antlers sold glass vials from a velvet-lined case. A man with a mouth full of silver teeth weighed black powder on brass scales. An old boy in a torn school uniform offered watches that ticked in different rhythms. The crowd flowed between them in hooded coats, leather masks and damp city clothes. Some faces looked ordinary. Others had eyes that reflected the lantern light in colours no human eye carried. The music came from a three-piece band beneath a cracked Underground sign. The musicians had no mouths. Their bows moved across stringed instruments while the humming rose from somewhere under the platform. Quinn’s hand tightened around the pistol. The suspect stood thirty metres ahead near a boarded ticket office. His bloodied hand pressed against the boards. He had removed the scarf. The white scar cut through his eyebrow. He turned, saw her, and ran. Quinn surged after him. The crowd parted. A tall man in a red coat caught her sleeve. “Bone token,” he snapped. Quinn ripped free. “Police.” The man bared two rows of narrow teeth. “Then you’ve entered the wrong station.” The suspect crashed through a curtain of hanging chains. Quinn followed. The chains struck her face and neck. Behind them, the platform narrowed into a passage lined with stalls. A woman thrust a jar at her. “Memory salt. Fresh from a widow’s skull.” “Move.” “Three sovereigns.” Quinn shoved past. The woman threw the jar. It shattered against the wall. A grey mist spilled across the tiles. Quinn held her breath and ran. The suspect vaulted a counter displaying knives with handles made from bone. The stallkeeper shouted and reached for him. He kicked a crate into the man’s knees, then vanished through a gap between two arches. Quinn cleared the counter. A knife snapped from the display and buried itself in the wood inches from her hand. She turned. The stallkeeper leaned over the blades, his face long and hairless, his eyes black from lid to lid. “Damage costs extra.” Quinn aimed her pistol at him. “Stay where you are.” The stallkeeper smiled. “Your little iron toy won’t buy you passage.” Quinn backed away, then followed the blood trail. The passage opened into a round chamber below the station. The ceiling disappeared into darkness. Puddles covered the floor. Symbols had been painted around the walls in white chalk, each one crossed through with a black line. The suspect staggered ahead. His jacket had split beneath the ribs. Blood ran between his fingers and dripped onto the stone. Quinn raised her voice. “Stop. Put your hands where I can see them.” He slipped through an archway. Quinn chased him into a corridor packed with bodies. The crowd closed around her, shoulder to shoulder. Someone grabbed her belt. She twisted and drove an elbow into the attacker’s throat. The grip released. A second hand caught her wrist. She slammed the owner’s forearm against the wall. A young woman stared back at her with completely white eyes. “Let go.” “Your badge has no weight here.” “Test it.” Quinn forced the woman’s fingers apart and broke through the crowd. The corridor ended at a rusted service door. The suspect had already opened it. Beyond lay a tunnel sloping deeper beneath the station, its walls lined with pipes and old electrical boxes. Quinn reached the door. Her radio hissed. “Quinn, respond. We’ve got no location. Do you copy?” She pressed the button. “I’m beneath an abandoned station. I need—” The radio screamed. Quinn yanked it from her shoulder and stared at the dead display. A figure stepped into the passage behind her. The man in the red coat. He held a small bone token between two fingers. It looked like a knuckle, polished smooth and carved with a tiny eye. “Members enter with a token,” he told her. “Visitors leave their names.” “I’m not leaving either.” He looked at the pistol. “No. You were not.” Quinn pointed the weapon at his chest. “Where did the suspect go?” The man glanced towards the service tunnel. “He crossed into the lower market.” “What’s down there?” “Trade.” “Give me a straight answer.” “Nothing in the Veil Market travels straight.” A shout echoed from the tunnel. The suspect’s voice, rough with pain. “Help me!” Quinn stepped through the service door. The man in the red coat seized her shoulder. She spun and drove the pistol’s grip into his cheek. His head snapped sideways. He released her. Quinn shoved the door closed between them and locked the bolt with a length of wire she pulled from her pocket. The tunnel stretched ahead, lit by bare bulbs that blinked in sequence. Somewhere below, metal clanged. A woman cried out. The sound ended with a wet choking gasp. Quinn stood alone with the pistol raised. Her left wrist ached beneath the leather watch. The minute hand moved past twelve. The face showed 11:47. She looked back at the door. On the other side, the man in the red coat began to laugh. The sound travelled through the metal in a low vibration. Quinn lifted the radio again. Its display remained black. She could wait for the units. They would search Soho, Camden, every alley around the station entrance. They would find the iron door, perhaps. They would not understand the platform. They would not see the stalls, the antlered woman, the white-eyed girl. By the time they reached the tunnel, the suspect could disappear into whatever waited below. Three years earlier, DS Morris had vanished in a service corridor beneath an ordinary building. Quinn had found his torch, his blood and one clean footprint on the concrete. No body. No answer. She looked at the dark tunnel. Then she secured the pistol in both hands and walked deeper underground. The bulbs clicked off behind her, one by one.
created_at"2026-07-09T18:05:47.76Z" 7/9/2026, 6:05:47 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1981
moderation_latency(null)
generation_time14959
tokens_prompt1140
tokens_completion2767
native_tokens_prompt984
native_tokens_completion2186
native_tokens_completion_images0
native_tokens_reasoning148
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"
usage0.0141
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_0f1410c125fd97a9016a4fe2fbd3108190b34127ea53cff1b0"
is_byokfalse
latency186
model_permaslug"openai/gpt-5.6-luna-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783620347-TjUWgZx8JTPIodHlIoOg"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620347-d3FknzgGyuwvIYXUOjhE"
upstream_id"resp_0f1410c125fd97a9016a4fe2fbd3108190b34127ea53cff1b0"
total_cost0.0141
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences37
tagDensity0.054
leniency0.108
rawRatio0
effectiveRatio0
96.85% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1587
totalAiIsmAdverbs1
found
0
adverb"completely"
count1
highlights
0"completely"
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)
71.64% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1587
totalAiIsms9
found
0
word"eyebrow"
count2
1
word"scanned"
count1
2
word"pulsed"
count1
3
word"flickered"
count1
4
word"velvet"
count1
5
word"shattered"
count1
6
word"weight"
count1
7
word"echoed"
count1
highlights
0"eyebrow"
1"scanned"
2"pulsed"
3"flickered"
4"velvet"
5"shattered"
6"weight"
7"echoed"
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
narrationSentences179
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences179
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences214
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
totalWords1585
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount1402
uniqueNames10
maxNameDensity2.28
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn32
Shaftesbury1
Avenue1
Tube1
Camden2
Underground1
Soho1
Morris1
Blood3
persons
0"Harlow"
1"Quinn"
2"Camden"
3"Morris"
4"Blood"
places
0"Shaftesbury"
1"Avenue"
2"Soho"
globalScore0.359
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences114
glossingSentenceCount1
matches
0"looked like a knuckle, polished smooth an"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1585
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences214
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs129
mean12.29
std12.06
cv0.981
sampleLengths
013
160
25
323
425
51
63
738
83
94
1019
114
124
1329
1411
1534
162
1720
184
1910
206
214
223
2312
2423
258
261
2712
287
2912
3028
315
325
3332
347
354
3612
379
386
392
403
413
425
4330
4411
456
4645
4711
4815
4915
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences179
matches
0"been painted"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs229
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences214
ratio0.009
matches
0"Quinn saw his face for half a second beneath the glare of a shopfront—pale skin, narrow nose, a white line cutting through his right eyebrow."
1"Something slower, stranger—strings plucked in a repeating pattern, with a low voice humming beneath them."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1409
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.017033356990773598
lyAdverbCount1
lyAdverbRatio0.0007097232079489
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences214
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences214
mean7.41
std4.61
cv0.622
sampleLengths
013
127
27
313
413
55
61
71
82
96
106
117
1225
131
143
1510
164
172
1822
193
204
2119
224
234
2411
253
2615
2711
2810
295
3015
314
322
336
344
3510
364
3710
386
394
403
4112
427
434
4412
458
461
4712
487
4910
47.35% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.3177570093457944
totalSentences214
uniqueOpeners68
40.40% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences165
matches
0"Somewhere below, metal clanged."
1"Then she secured the pistol"
ratio0.012
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount42
totalSentences165
matches
0"Her boots struck puddles and"
1"It soaked her trousers, her"
2"He ran faster."
3"She kept her eyes on"
4"Her radio crackled."
5"She vaulted a stack of"
6"Her knee jolted."
7"She touched the radio."
8"Her shoulders stayed square."
9"She scanned the windows, the"
10"It led towards a narrow"
11"She pushed the door wide."
12"She looked at the blood"
13"Her coat brushed the walls."
14"Their bows moved across stringed"
15"His bloodied hand pressed against"
16"He had removed the scarf."
17"He turned, saw her, and"
18"It shattered against the wall."
19"He kicked a crate into"
ratio0.255
5.45% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount150
totalSentences165
matches
0"Detective Harlow Quinn cut through"
1"Her boots struck puddles and"
2"A bus roared past, throwing"
3"It soaked her trousers, her"
4"Blood marked the sleeve beneath"
5"Quinn saw his face for"
6"He ran faster."
7"Quinn pushed between two tourists"
8"The umbrella spun away."
9"She kept her eyes on"
10"Her radio crackled."
11"She vaulted a stack of"
12"Her knee jolted."
13"The suspect reached the far"
14"Quinn hit the gate with"
15"The alley beyond ran between"
16"A fire escape zigzagged overhead."
17"Bin bags split beneath the"
18"The suspect had vanished."
19"The city pressed close around"
ratio0.909
30.30% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences165
matches
0"By the time they reached"
ratio0.006
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences59
technicalSentenceCount2
matches
0"An old boy in a torn school uniform offered watches that ticked in different rhythms."
1"Others had eyes that reflected the lantern light in colours no human eye carried."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"he snapped (snap)"
dialogueSentences37
tagDensity0.054
leniency0.108
rawRatio0.5
effectiveRatio0.054
87.5114%