Run: 2026-09-10-01M25DJVJTF10KF4JMDK5XC34T

Run Details

Duration:
27.7s
Cost:
$0.002537
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 down on Camden like it meant to wash the borough into the canal. Harlow Quinn ran through it without a coat, boots slapping standing water, the radio on her shoulder hissing static into her ear. Ahead, fifty metres and closing, Tomás Herrera cleared a bolted market stall without breaking stride. His Saint Christopher medallion swung out from his collar, caught the streetlight, flicked back under his shirt. Quinn had that medallion photographed, tagged and filed eleven months ago, found in a Holloway flat beside a man with a punctured lung and no explanation for either. "Tomás Herrera." Her shout cut the downpour. "Stop where you are." He answered by cutting left into Inverness Street. She lost him for a heartbeat behind a parked van, found him again between two sets of railings, running low and fast with his right arm tucked against his ribs like he was holding something in. Two hours ago he'd come out of the Raven's Nest favouring that same side. She'd watched him from across the road with a cold coffee going colder in her fist while the green neon hummed above the door and laid pondweed light across the wet pavement. He'd taken the Northern line north. She'd ridden three cars back with her hood up and her ticket unpunched. When he stepped off at Camden Town and looked down the platform, he'd looked straight at her, and his face had closed like a shop shutter coming down. The rain had emptied the streets. A kebab shop glowed yellow, its owner watching from behind the counter with a phone already in his hand. "Police," Quinn called to him as she passed. "Nobody's dying." Past the lock the water ran black and hammered flat. Her breath sawed. Her shoes had stopped being shoes and become two buckets of canal. "Tomás. You're making this worse." His voice came back over his shoulder, thin and torn by the wind. "You don't want to be down here, detective." "Then stop and tell me why I shouldn't." He didn't. He hurdled a set of bollards and vanished behind the hoarding of a building site. She took the corner at a slide and caught herself on a stack of scaffold poles. The pain went up her left arm to the elbow. She shook it out and kept going. The hoarding ended at a wire fence with a gap cut through it, neat as surgery. Beyond the gap, a concrete stairwell dropped away under a padlocked chain that wasn't locked — the chain hung loose, the padlock open, waiting. Water ran down the steps in a sheet, and under the smell of wet cement was something else. Cold iron. Wet stone. Something sweet and going over. Quinn stopped at the top step. Under her feet, the city hummed. Not traffic. Not the Tube — she knew the Tube, she'd grown up over it, she could tell the Northern line from the Victoria by the sound of it and this wasn't either. This was lower and slower. Voices, maybe. A drum. A generator. Something that might have been music if music could rot. She pulled the radio off her shoulder. "Control, this is Quinn. Foot pursuit, suspect on foot, male, Herrera. I'm at —" She looked at the street sign above the hoarding, half eaten by rust. She read it twice. "Junction of Castlehaven and the old station works. Send a unit." The radio crackled. "Received, Quinn. Unit en route, fifteen minutes." Fifteen minutes. She checked her phone. No signal. Barry'd told her once that these old cuttings swallowed everything, that you could stand in the middle of Camden and be off the grid, and she'd laughed at him. She wasn't laughing now. Her watch said half eleven. She turned the bezel a quarter turn and started down. The stairwell went deeper than any station had a right to. Nine steps, then a landing, then nine more, and the air changed — warmer, thicker, carrying a low note like a bowed cello. At the bottom the passage opened out and turned, and she came to a door made of planks and tarpaulin lashed to a frame, light leaking around its edges. A man stood beside it. Small, wide in the shoulders, wearing an oilskin coat and a face like a dropped pie. "Token," he said. Quinn kept her hands where he could see them and stepped sideways. In the gutter at the door's threshold, half in a puddle, lay a knucklebone — pale, polished, drilled through the middle with a length of waxed cord through it. Warm when she picked it up. Tomás had come through here thirty seconds ago and he'd come through fast. She held it out. The man looked at the bone, then at her soaked coat, then at the watch on her left wrist, and made a noise in his throat that could have been a laugh. "Second one tonight," he said. "He's a friend of mine." "He isn't anybody's friend." He lifted the tarpaulin off its hook. "Mind the step. It's further than it looks." The passage gave way to a chamber, and Quinn walked out into it with her mouth shut and her eyes open. Lanterns hung from the vaulted ceiling on chains, hundreds of them, throwing yellow light down the old brickwork and across a floor packed with stalls. The place stank of tallow and myrrh and hot metal. A woman in a welding mask sold glass jars from a trestle table, and something inside the jars pressed against the glass and turned over and pressed again. Further along, two men argued over a case of teeth. A rope of dried plants hung over a stall where a girl with silver hands weighed powder on a brass scale and took payment in coins Quinn didn't recognise. An abandoned Tube station. She knew the shape of it — the Victorian vaulting, the white tiles still showing between the stalls, the old enamel sign painted over with something that moved when she looked at it too long. Somebody had built a market in the belly of it, and nobody had built it this year. She turned a full circle, slow. Fifty metres away, past a stall selling knives laid out on velvet, the Saint Christopher medallion flashed once in the lantern light and went dark.
created_at"2026-09-10T10:25:00.511Z" 9/10/2026, 10:25:00 AM
model"deepseek/deepseek-v4.1-flash-20260910"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency786
moderation_latency(null)
generation_time27624
tokens_prompt1104
tokens_completion4588
native_tokens_prompt1029
native_tokens_completion4191
native_tokens_completion_images(null)
native_tokens_reasoning2859
native_tokens_cached895
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)
usage0.002537385
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
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request_id"req-1789035900-lb4v7yrfOwWNyPkK9Bqw"
session_id(null)
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api_type"completions"
id"gen-1789035900-aSiSSzIDYNwhh98U053H"
upstream_id"790a5fff-02e8-4851-875c-6efbe7924b26"
provider_responses
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is_byokfalse
latency350
model_permaslug"deepseek/deepseek-v4.1-flash-20260910"
provider_name"DeepSeek"
status200
total_cost0.002537385
cache_discount0.000131565
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences15
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1054
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)
90.51% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1054
totalAiIsms2
found
0
word"flicked"
count1
1
word"velvet"
count1
highlights
0"flicked"
1"velvet"
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
narrationSentences75
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences75
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences85
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1059
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount963
uniqueNames17
maxNameDensity0.73
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
Camden3
Quinn7
Tomás2
Herrera1
Saint2
Christopher2
Holloway1
Inverness1
Street1
Raven1
Nest1
Northern2
Town1
Past1
Tube3
Victoria1
Victorian1
persons
0"Quinn"
1"Tomás"
2"Herrera"
3"Saint"
4"Christopher"
5"Raven"
6"Nest"
7"Victorian"
places
0"Camden"
1"Holloway"
2"Inverness"
3"Street"
4"Town"
5"Victoria"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences52
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1059
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences85
matches
0"had that medallion"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean34.16
std25.97
cv0.76
sampleLengths
037
160
211
390
447
525
610
725
85
921
108
1117
1233
1367
146
1560
1649
1710
1856
1963
2021
213
2260
2336
245
255
2619
2721
28102
2956
3031
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences75
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs155
matches
0"was holding"
1"wasn't laughing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences5
totalSentences85
ratio0.059
matches
0"Beyond the gap, a concrete stairwell dropped away under a padlocked chain that wasn't locked — the chain hung loose, the padlock open, waiting."
1"Not the Tube — she knew the Tube, she'd grown up over it, she could tell the Northern line from the Victoria by the sound of it and this wasn't either."
2"Nine steps, then a landing, then nine more, and the air changed — warmer, thicker, carrying a low note like a bowed cello."
3"In the gutter at the door's threshold, half in a puddle, lay a knucklebone — pale, polished, drilled through the middle with a length of waxed cord through it."
4"She knew the shape of it — the Victorian vaulting, the white tiles still showing between the stalls, the old enamel sign painted over with something that moved when she looked at it too long."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount523
adjectiveStacks0
stackExamples(empty)
adverbCount7
adverbRatio0.01338432122370937
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences85
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences85
mean12.46
std9.57
cv0.768
sampleLengths
015
122
215
317
428
57
64
78
836
914
1032
116
1213
1328
146
1519
168
172
1810
193
2012
215
2213
238
248
252
2615
2716
2810
297
3016
3124
3218
332
342
355
366
376
382
3931
405
412
422
432
4410
457
4627
474
4811
493
86.27% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.5529411764705883
totalSentences85
uniqueOpeners47
52.08% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences64
matches
0"Further along, two men argued"
ratio0.016
76.25% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences64
matches
0"His Saint Christopher medallion swung"
1"Her shout cut the downpour"
2"He answered by cutting left"
3"She lost him for a"
4"She'd watched him from across"
5"He'd taken the Northern line"
6"She'd ridden three cars back"
7"Her breath sawed."
8"Her shoes had stopped being"
9"His voice came back over"
10"He hurdled a set of"
11"She took the corner at"
12"She shook it out and"
13"She pulled the radio off"
14"She read it twice."
15"She checked her phone."
16"She wasn't laughing now."
17"Her watch said half eleven."
18"She turned the bezel a"
19"She held it out."
ratio0.359
69.38% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount50
totalSentences64
matches
0"Rain came down on Camden"
1"Harlow Quinn ran through it"
2"His Saint Christopher medallion swung"
3"Quinn had that medallion photographed,"
4"Her shout cut the downpour"
5"He answered by cutting left"
6"She lost him for a"
7"She'd watched him from across"
8"He'd taken the Northern line"
9"She'd ridden three cars back"
10"The rain had emptied the"
11"A kebab shop glowed yellow,"
12"Quinn called to him as"
13"Her breath sawed."
14"Her shoes had stopped being"
15"His voice came back over"
16"He hurdled a set of"
17"She took the corner at"
18"The pain went up her"
19"She shook it out and"
ratio0.781
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences64
matches(empty)
ratio0
90.59% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount3
matches
0"Harlow Quinn ran through it without a coat, boots slapping standing water, the radio on her shoulder hissing static into her ear."
1"Beyond the gap, a concrete stairwell dropped away under a padlocked chain that wasn't locked — the chain hung loose, the padlock open, waiting."
2"She knew the shape of it — the Victorian vaulting, the white tiles still showing between the stalls, the old enamel sign painted over with something that moved …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
83.33% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"Her shout (shout)"
dialogueSentences15
tagDensity0.267
leniency0.533
rawRatio0.25
effectiveRatio0.133
88.2807%