Run: 2026-09-10-01M25DG5GZ91N3ADNJS77DVK9V

Run Details

Duration:
31.2s
Cost:
$0.002871
Provider:
DeepSeek

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 came off the awnings in ropes and Harlow Quinn ran through it with her warrant card in her fist and her coat hanging open. Tomás Herrera ran forty feet ahead, and he was quicker than her. Twenty-nine years old with a paramedic's lungs. He took Wardour Street at a full sprint, cut between two taxis, and one horn went off in the dark like a swear word. "Police." Quinn slapped the cab's roof as she passed. "Move." The cabbie moved. Herrera swerved left onto Old Compton, doubled back twice on the same block, hunting a gap in her line. He knew these streets better than a man six years off the boat had any right to. She stayed off his shoulder and ran the diagonals instead, cutting through a service alley between a dim sum place and a shuttered jeweller, and came out ahead of him at the corner. He saw her. Stopped hard. Water sprayed off his heels. "Tomás." Her breath sawed. Rain ran into her mouth and she spat it out. "You want to do this here, or in a nice dry room with a table?" He turned and ran the other way. Quinn went after him. They crossed six streets that way, past bins and bolted doors and a night bus that stood in the road with its hazards on and nobody inside. The Saint Christopher medallion had come loose from Herrera's shirt and swung off his neck with every stride, catching the streetlight. His jacket was soaked through. His left arm kept moving strange, cocked at the elbow, holding something against his ribs. The green neon of the Raven's Nest threw itself across the wet road, dyeing the puddles. Herrera passed under it and did not stop. Silas stood in his doorway with a towel over one shoulder. "You're not drinking tonight, then." "Which way." Quinn planted a hand on the door frame. Silas looked at the rain, then at her. "Left. Down the alley behind the bins. And you don't want to." "Why's that." "Because I've watched four people go left down that alley this year and I'm still seeing three of them." She went left. The alley ran narrow between two brick flanks and ended at a chain-link fence with a hole cut in the bottom, and beyond the hole the ground dropped away into a stairwell with a metal handrail twisted off its mounts. Steps went down into black. Water fell in sheets off the fence and made its own noise in the stairwell, a hollow, drumming sound that ran deeper than a cellar should. Her torch beam found the first six steps and nothing after. Old tile. A strip of dead cable stapled to the wall. The name plate above the arch had been chiselled flat, but the shape of the letters stayed in the stone. Camden Town. Nothing else in London was built like this underneath. Quinn stood at the top and listened. Somewhere down there, shoes scraped tile. Then a gate clanged. She took the steps two at a time. The platform had never been finished. Rusted rails ran out of the tunnel mouth and stopped in a wall of poured concrete. Coffered ceiling, broken lamps, tile the colour of old teeth. Pigeons had lived here and left. The air smelled like standing water and someone's cooking, cumin and burnt sugar, and under that, something mineral, like a struck flint. At the far end of the platform a chain-link gate stood open in a frame. Beyond it, light. Real light, warm and moving, thrown by lamps that hung from the ceiling on butcher's hooks. A sound came up the tunnel: voices, hundreds of them, low and constant, with the clink of glass and money and the scuff of feet on stone. Herrera stood at the gate with his back to her, fishing in his jacket. "Tomás." He turned. His face was wet and his chest heaved and his eyes were the eyes of a man doing arithmetic he didn't want to finish. "You should go back up," he said. "You want to tell me about the man in the flat on Bayham Street." "I didn't kill anybody." "Then come and say that in a room with a recorder." "I can't." He pulled his hand out of his jacket. Between his fingers sat something small, pale, the size of a knucklebone, carved with lines that the lamplight sat inside and would not leave. He pressed it to the frame. The chain-link shivered and the gate swung wider. "That's a bone token," Quinn said. Herrera's head came up. "You know what that is." "I know what it is." "Then you know what's through here." He stepped backwards into the light and his voice came back down the tunnel to her, thinner than before. "And you know why I'd rather you didn't." He turned and walked into the crowd and the crowd took him. Heads closed over the top of his soaked jacket like water. Quinn reached the gate and stopped. The market went on further than the torch could carry. Stalls under the lamps, hung with copper and glass, strings of dried things, jars of liquid that glowed the way a fish glows in deep water. A woman with a face full of silver rings sold something out of a case that steamed when she opened it. Two men argued over a box of teeth. Children ran between the legs of the crowd with nothing in their hands and eyes that stayed on Quinn a beat too long. No one looked frightened. Everyone here, every single one of them, stood in a place the Metropolitan Police did not have a map for. She thought about the report. DS Morris, three years ago, pulled from the canal at Wapping with water in his lungs and nothing on his body to say why. The pathologist had filled in four pages and left eleven blank. The coroner had called it misadventure and closed the file in twenty minutes. Quinn had read the file so many times the crease in it had worn through. She had never once been able to say what he'd been doing down there. At her feet, half in a puddle, sat a second bone token. Herrera must have dropped it pulling the first one out. Her torch found it and held it. Warm light poured past her shoulder from the market and threw her shadow down the tunnel behind her. No radio signal. No backup she could call from a station that did not exist. Her phone showed one bar and it flickered when she lifted it. Quinn put the token between her teeth, bent, and checked the chain-link gate for the hinge side, the way she'd been taught in a car park in Aldershot nineteen years ago. The gate had been hung to swing inward. It would not lock behind her. She took the token out of her mouth, put it in her coat pocket, and stepped through. The noise of the market closed over her head. Bodies on both sides. Lamp smoke. A man in an apron selling lengths of braided hair. Quinn walked into the crowd with her coat dripping on the stone and her eyes on the back of a brown jacket, twenty stalls ahead, moving fast and not looking round.
created_at"2026-09-10T10:23:32.389Z" 9/10/2026, 10:23:32 AM
model"deepseek/deepseek-v4.1-flash-20260910"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency700
moderation_latency(null)
generation_time31123
tokens_prompt1104
tokens_completion5065
native_tokens_prompt1029
native_tokens_completion4591
native_tokens_completion_images(null)
native_tokens_reasoning3080
native_tokens_cached256
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"stop"
service_tier(null)
usage0.002871318
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1789035812-wos4PN2FTqStCqrN9sdX"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1789035812-pen7lYJ87F3j7HxqIILR"
upstream_id"ff8a0dc7-0de7-4ad2-a64c-d57e34ac469a"
provider_responses
0
endpoint_id"fd104bc8-535a-4d31-a847-a8e402e86a02"
id"ff8a0dc7-0de7-4ad2-a64c-d57e34ac469a"
is_byokfalse
latency348
model_permaslug"deepseek/deepseek-v4.1-flash-20260910"
provider_name"DeepSeek"
status200
total_cost0.002871318
cache_discount0.000037632
upstream_inference_cost0
provider_name"DeepSeek"
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences20
tagDensity0.35
leniency0.7
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1225
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)
95.92% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1225
totalAiIsms1
found
0
word"flickered"
count1
highlights
0"flickered"
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
narrationSentences91
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences91
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences104
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1225
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount1102
uniqueNames20
maxNameDensity1
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn11
Herrera7
Wardour1
Street1
Old2
Compton1
Rain2
Saint1
Christopher1
Raven1
Nest1
Silas2
Town1
London1
Metropolitan1
Police1
Morris1
Wapping1
Aldershot1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Rain"
4"Saint"
5"Christopher"
6"Raven"
7"Nest"
8"Silas"
9"Police"
10"Morris"
places
0"Wardour"
1"Street"
2"Compton"
3"Town"
4"London"
5"Wapping"
6"Aldershot"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences69
glossingSentenceCount1
matches
0"smelled like standing water and someone's"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1225
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences104
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs47
mean26.06
std24.9
cv0.955
sampleLengths
025
143
210
33
469
510
629
77
84
968
1024
1111
125
1310
1420
152
1619
173
1871
1953
207
2110
228
2360
2461
2514
261
2726
287
2914
304
3111
3248
336
349
355
3633
3723
386
39112
4068
4114
4247
4327
4445
4517
4656
85.98% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences91
matches
0"been chiselled"
1"was built"
2"been finished"
3"been taught"
4"been hung"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs170
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences104
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1107
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.013550135501355014
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences104
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences104
mean11.78
std8.25
cv0.701
sampleLengths
025
112
27
324
49
51
63
719
817
933
103
112
125
134
1410
1515
167
174
1827
1921
205
2115
2216
238
2411
255
2610
278
2812
292
3019
313
3240
335
3426
3511
362
379
3820
392
409
417
426
434
448
456
4616
4710
486
4922
74.68% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.47115384615384615
totalSentences104
uniqueOpeners49
79.37% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences84
matches
0"Somewhere down there, shoes scraped"
1"Then a gate clanged."
ratio0.024
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences84
matches
0"He took Wardour Street at"
1"He knew these streets better"
2"She stayed off his shoulder"
3"He saw her."
4"Her breath sawed"
5"He turned and ran the"
6"They crossed six streets that"
7"His jacket was soaked through."
8"His left arm kept moving"
9"She went left."
10"Her torch beam found the"
11"She took the steps two"
12"His face was wet and"
13"He pulled his hand out"
14"He pressed it to the"
15"He stepped backwards into the"
16"He turned and walked into"
17"She thought about the report."
18"She had never once been"
19"Her torch found it and"
ratio0.274
49.29% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount69
totalSentences84
matches
0"Rain came off the awnings"
1"Tomás Herrera ran forty feet"
2"He took Wardour Street at"
3"Quinn slapped the cab's roof"
4"The cabbie moved."
5"Herrera swerved left onto Old"
6"He knew these streets better"
7"She stayed off his shoulder"
8"He saw her."
9"Water sprayed off his heels."
10"Her breath sawed"
11"Rain ran into her mouth"
12"He turned and ran the"
13"Quinn went after him."
14"They crossed six streets that"
15"The Saint Christopher medallion had"
16"His jacket was soaked through."
17"His left arm kept moving"
18"The green neon of the"
19"Herrera passed under it and"
ratio0.821
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences84
matches(empty)
ratio0
80.75% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount4
matches
0"Water fell in sheets off the fence and made its own noise in the stairwell, a hollow, drumming sound that ran deeper than a cellar should."
1"Real light, warm and moving, thrown by lamps that hung from the ceiling on butcher's hooks."
2"Stalls under the lamps, hung with copper and glass, strings of dried things, jars of liquid that glowed the way a fish glows in deep water."
3"Quinn walked into the crowd with her coat dripping on the stone and her eyes on the back of a brown jacket, twenty stalls ahead, moving fast and not looking rou…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences20
tagDensity0.1
leniency0.2
rawRatio0
effectiveRatio0
92.1993%