Run: 2026-09-23-01M36R616YRR9V71KKSY2PYYCN

Run Details

Duration:
39.8s
Cost:
$0.001546
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 ran off the brim of Harlow Quinn’s coat and drummed against the black bonnet of a parked cab. Across the street, Leon Vale shoved through the door of the Raven’s Nest. The green neon sign cut his face into brief strips of colour. He looked over his shoulder, spotted Quinn, and broke into a run. She crossed between two cars, palm raised against a horn. The cab driver leaned on it until she struck the bonnet with her fist. “Police. Keep the engine off.” Vale slipped into the narrow street behind the bar. Quinn followed. Her boots skidded on wet paving, then found purchase. He had a good lead and knew the alleys. She had spent twenty minutes watching him through the Nest’s front window, amid old maps and black-and-white photographs, while he traded a folded packet to a woman with a silver braid. The woman had left by the front door. Vale had taken the back. Quinn drew her radio. “Control, Detective Quinn. Pursuit on foot, suspect Leon Vale, heading north from Soho. Request a unit at the intersection of Berwick and…” She rounded the corner. “Berwick and what?” A delivery rider flashed past her, tyres hissing through gutter water. Vale vaulted a stack of crates at the next turn. “Berwick and Broadwick,” she finished. “He’s moving towards Oxford Street.” The radio crackled. She heard a question, then the signal broke into static. Quinn clipped it back to her belt. Vale hit the pavement at a sprint. He wore a charcoal jacket with the collar high against the rain, and his right hand stayed closed around something at his side. She had seen that hand close around the packet at the Raven’s Nest. “Vale! Stop!” He glanced back. The pavement narrowed between a shuttered café and a line of metal barriers. He shouldered through a gap. Quinn followed, scraping her sleeve on a barrier bolt. The cloth tore. She kept going. Vale cut across traffic on Oxford Street. A bus braked with a shudder and a blast of air. Quinn ducked behind it, emerged into a wash of spray, and saw him reaching the far pavement. He struck the corner of a newsagent’s awning, staggered, then pushed on. Her left wrist knocked against her coat cuff. The worn leather watch beneath it had belonged to her father. She checked the face without slowing. Twenty-one minutes past eleven. Her team would need time to reach the area. Vale would not give her any. A siren rose somewhere behind her, thin under the rain. She took the turn he had taken and found him at the mouth of a service lane, forcing open a gate with his shoulder. Quinn caught the gate before it swung shut. The lane smelled of wet brick and old cooking oil. It sloped down between buildings, its lamps dimmed by grime. At the far end, Vale pushed through a second gate and vanished. She reached the opening and stopped long enough to listen. Footsteps struck below. A metal door banged. Then the lane held only rainwater ticking from a fire escape. Quinn drew her pistol and descended. The service lane opened onto a square of neglected pavement behind a row of boarded shops. A concrete stairwell dropped beneath a stained sign that read CAMDEN TOWN. Someone had painted over half the letters. A rusted chain crossed the entrance. Vale had broken it. Quinn ducked beneath the loose chain and took the stairs two at a time. Her shoulder radio hissed. “Quinn, respond.” She pressed the button. “I’m below street level. Old Camden station entrance. Suspect heading down.” “Old entrance? That station’s sealed.” “Not tonight.” She reached a landing. Ahead, a black service door stood ajar. The edges of it shone with fresh scratches. Beyond the gap, a second stairway descended into darkness. Quinn tucked the radio away and listened again. A voice travelled up the stairs, low and annoyed. “You’re late.” Vale answered, too far below for her to catch the words. A small light blinked once beneath the door, then went out. Quinn checked her pistol. Her fingers stayed steady. Three years earlier, DS Morris had gone down a stairwell with a torch in one hand and a joke on his lips. She had found his torch on the next landing, still lit. The report had listed a fall, then been revised, then sealed. No body had come back to settle the paperwork. She lowered the pistol a fraction and stepped through the service door. The stairway ended at a platform tiled in cracked white squares. Old posters peeled from the walls. A station clock hung above the tracks, its hands fixed at twelve. Someone had laid planks across the rails and built a passage to a bricked-up arch. Beyond the arch, voices overlapped in a hum of bargaining. Vale stood beneath a bare bulb, speaking to a woman seated behind a narrow wooden counter. The woman wore a fur-collared coat and silver rings on every finger. She held one hand out. Vale placed something on her palm. A pale sliver, about the length of a little finger. The woman examined it, then pointed toward the arch. “Bone token,” Quinn murmured. Vale passed through. The woman swept the counter with her sleeve. The token dropped, clicked against the stone, and rolled towards the platform edge. Quinn stepped from behind a pillar. “Police. Hands where I can see them.” The woman’s fingers closed around the token. Her rings flashed in the bulb light. “Which police?” Quinn raised her warrant card. The woman studied it as if the badge carried a smell. “Metropolitan Police. I’m pursuing a suspect. Tell me where he went.” The woman set the card back on the counter with one nail. “Down the arch.” “Then I’ll follow.” “Not without a token.” “Move.” The woman leaned back. Her chair creaked. “You’ve got no token.” Quinn saw the pale edge beneath the woman’s palm. She moved her pistol towards the counter. The woman lifted her hand. The bone token lay between them, carved with three narrow notches. It had the yellow sheen of something handled for years. Quinn took it. The woman did not reach to stop her. “Good choice,” the woman said. Quinn closed her fist around the token. “You’ve got a strange idea of cooperation.” “I’ve got a strict idea of prices.” A noise carried from beyond the arch: a burst of laughter, followed by the clink of glass and a man calling out prices. The sound had the crowded rhythm of a market, but no market Quinn knew sat under a sealed Tube station. She turned towards the arch. The bricks around it had been pulled away, leaving a low opening lined with old iron. Cold air drifted through, carrying smoke, oranges, hot metal and something sharp that stung the back of her throat. She could wait for backup. She could secure the entrance and keep the woman at the counter in sight. Control might send a unit down the stairs, though the radio had barely carried her voice. Every minute Vale gained widened the gap. He had the packet. He had traded it in the Raven’s Nest, and he had brought it here. Quinn slid the bone token into her pocket and stepped over the broken brick. A narrow corridor opened beyond the arch. Lamps hung from hooks driven into the walls. Their light moved over a long slope cut through earth and stone. At the bottom, the passage widened into a platform crowded with stalls. No tracks ran through it. Canopies and tarpaulins stretched beneath the old station vault. Traders stood behind tables crowded with stoppered bottles, tarnished jewellery, bundles of herbs and objects wrapped in oilcloth. A rack of knives caught the light. Somewhere beyond the first row, a bell rang twice. Quinn stayed close to the wall. A man in a blue suit carried a cage with nothing visible inside it. A girl with a shaved head held up a vial of dark liquid while a buyer turned it against the lamps. Neither looked at Quinn for long. Their eyes moved to her pistol, then away. Vale disappeared between two stalls. “Vale!” Several conversations faltered. A butcher’s cleaver stopped above a block of pale meat. The man behind it watched her with a smile that showed no teeth. Quinn crossed the threshold. The woman at the counter spoke from behind her. “Keep the token on you, Detective.” Quinn did not turn. She drew the token from her pocket and held it in her closed hand as she entered the market proper. A trader shifted a crate across the passage, narrowing the space between the stalls. “Out of the way.” The trader studied her badge. “You have business?” Quinn looked past him. At the far end of the aisle, Vale’s charcoal jacket slipped through a gap in the crowd. “I do now.” The trader moved the crate. Quinn pushed between the stalls, the bone token hard against her palm, and followed.
created_at"2026-09-23T09:05:10.899Z" 9/23/2026, 9:05:10 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency14961
moderation_latency(null)
generation_time39741
tokens_prompt1104
tokens_completion2249
native_tokens_prompt984
native_tokens_completion2895
native_tokens_completion_images0
native_tokens_reasoning1017
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"
usage0.0015459
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790154310-HNEws2vjYqCTwt7Q3QKL"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790154310-5TDu6QlIImL4AECAf6Yd"
upstream_id"resp_06c509cb7af0be4a016ab39647041087d193f79b42e30136ff"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_06c509cb7af0be4a016ab39647041087d193f79b42e30136ff"
is_byokfalse
latency1312
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0015459
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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences28
tagDensity0.143
leniency0.286
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1503
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)
96.67% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1503
totalAiIsms1
found
0
word"footsteps"
count1
highlights
0"footsteps"
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
narrationSentences146
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences146
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences170
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1503
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions55
wordCount1371
uniqueNames10
maxNameDensity1.9
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn26
Leon1
Vale16
Raven3
Nest4
Oxford1
Street1
Morris1
Tube1
persons
0"Harlow"
1"Quinn"
2"Leon"
3"Vale"
4"Morris"
places
0"Nest"
1"Oxford"
2"Street"
globalScore0.552
windowScore0.5
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
wordCount1503
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences170
matches
0"seen that hand"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs80
mean18.79
std17.16
cv0.913
sampleLengths
032
124
224
35
473
54
629
721
810
913
1050
112
1236
1347
1444
1534
168
1732
1810
1918
2047
214
2218
232
244
2511
265
272
2828
2917
302
3111
3211
3361
3412
3554
3633
3716
389
394
403
4121
426
437
4414
452
4616
4711
4812
493
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences146
matches
0"been revised"
1"been pulled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs236
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences170
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1376
adjectiveStacks0
stackExamples(empty)
adverbCount27
adverbRatio0.019622093023255814
lyAdverbCount2
lyAdverbRatio0.0014534883720930232
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences170
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences170
mean8.84
std5.32
cv0.602
sampleLengths
019
113
212
312
410
514
65
79
82
99
109
1131
128
135
144
1526
163
1711
1810
195
205
213
2210
237
247
2523
2613
272
283
2913
305
319
323
333
347
3511
3617
3712
388
3911
406
414
429
436
4410
4524
468
4710
4810
4912
46.47% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.2529411764705882
totalSentences170
uniqueOpeners43
46.62% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences143
matches
0"Then the lane held only"
1"Somewhere beyond the first row,"
ratio0.014
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount38
totalSentences143
matches
0"He looked over his shoulder,"
1"She crossed between two cars,"
2"Her boots skidded on wet"
3"He had a good lead"
4"She had spent twenty minutes"
5"She rounded the corner"
6"She heard a question, then"
7"He wore a charcoal jacket"
8"She had seen that hand"
9"He glanced back."
10"He shouldered through a gap."
11"She kept going."
12"He struck the corner of"
13"Her left wrist knocked against"
14"She checked the face without"
15"Her team would need time"
16"She took the turn he"
17"It sloped down between buildings,"
18"She reached the opening and"
19"Her shoulder radio hissed."
ratio0.266
12.45% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount128
totalSentences143
matches
0"Rain ran off the brim"
1"The green neon sign cut"
2"He looked over his shoulder,"
3"She crossed between two cars,"
4"The cab driver leaned on"
5"Vale slipped into the narrow"
6"Her boots skidded on wet"
7"He had a good lead"
8"She had spent twenty minutes"
9"The woman had left by"
10"Vale had taken the back."
11"Quinn drew her radio."
12"She rounded the corner"
13"A delivery rider flashed past"
14"Vale vaulted a stack of"
15"The radio crackled."
16"She heard a question, then"
17"Quinn clipped it back to"
18"Vale hit the pavement at"
19"He wore a charcoal jacket"
ratio0.895
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences143
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences64
technicalSentenceCount1
matches
0"A concrete stairwell dropped beneath a stained sign that read CAMDEN TOWN."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"Quinn murmured (murmur)"
dialogueSentences28
tagDensity0.071
leniency0.143
rawRatio0.5
effectiveRatio0.071
88.4071%