Run: 2026-04-25-01KQ2HE4J58N6AZBTT8AESDAQR

Run Details

Duration:
2m 9s
Cost:
$0.003850
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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
The rain had stopped an hour before, but Camden High Street still bled wet neon onto the pavement. Detective Harlow Quinn ducked under the police tape strung across a boarded-up kebab shop door and descended the stairwell, her torch beam cutting through a fog of brick dust and damp. The air thickened with every step, trading the city’s fry-oil reek for something older—wet limestone and a faint metallic bite that clung to the back of the throat. Her left wrist, where a worn leather watch strap chafed against the bone, itched with the sudden chill. The abandoned Northern Line platform stretched into a cavern of glazed oxblood tiles. Portable arc lights threw harsh shadows across the curve of the ceiling, where a peeling advertisement for Pears’ Soap still promised a paler skin. Quinn stepped onto the platform and stopped, cataloguing the scene with the automatic sweep of eighteen years: the forensic team wasn’t here yet, just a single uniformed PC by the old ticket booth and a figure crouched near a bundle of tarpaulin between the rusted tracks. That figure was not police. Red curls spilt from under a beanie, and a worn leather satchel lay open on the ground beside polished brown brogues. Eva Kowalski. Quinn had seen her twice before, both times in the marble vaults of the British Museum when a case brushed against stolen antiquities. The museum’s occult researcher had a habit of appearing before the call went out, like she could smell the wrongness. “They woke you up for this?” Quinn walked over, her low heels loud on the concrete. Eva looked up, round glasses magnifying green eyes. She held a bone token in a gloved hand, the size of an old penny, pale and intricately carved with spirals that caught the light. She tucked a curl behind her left ear and gestured at the body under the tarp. “I was already awake. Your DS emailed close-ups of the artefacts to my department at two a.m. I knew the iconography.” Her voice had the clipped certainty of someone who spent too much time in library basements. “Mithraic. Pre-Constantinian, with possible syncretic Celtic elements. See these rosettes? They’re not just decoration. They’re wards.” Quinn pulled on nitrile gloves and crouched on the opposite side of the tarpaulin. “Wards against what?” “That’s the question, isn’t it?” Eva set the bone token on a clear evidence bag. “Probably a ritual item. The compass too.” She nodded toward a small brass instrument resting near the dead man’s open right hand. Quinn peeled back the tarp. The victim was male, late thirties, with a week’s stubble and a good haircut. Throat cut from left to right in a single decisive motion. The wound had bled copiously, but the blood pooled in a neat oval directly under the neck, not a spray or spatter. No arterial cast-off on the tiles. That was wrong. Even the cleanest slice would have arced in a confined space. She noted the man’s clothing next: a cheap waxed jacket over a cashmere rollneck. Dirt on the knees of his trousers, but the soles of his loafers were clean. Not a speck of the fine grey dust that caked every surface down here. “Who found him?” “Night-shift tube worker checking for squatters. Legitimate one, apparently. Called it in from the street. Said the body was cold when he got here, but he didn’t touch anything.” Eva folded her arms. “The bone token was around his neck on a leather thong. I removed it for examination.” Quinn studied the token without picking it up. The carving was deep and worn smooth in one quadrant, as if it had been rubbed or inserted into something repeatedly. The rest of the piece held crisp edges. Not an heirloom—a tool. “This isn’t a ritual item,” she said. “It’s a key.” Eva’s forehead creased. “The symbology is absolutely ritualistic. The seven-pointed star with a serpent consuming its tail—that’s a Gnostic binding circle. It’s meant to contain something.” “Or to unlock it.” Quinn stood and lifted the brass compass. The casing had a patina of verdigris that flaked green onto her glove. Its face was etched with sigils that matched nothing in her memory, angular and cramped as insect legs. The needle did not point north. It swung listlessly, then locked toward the west wall of the platform, trembling like a dowser’s rod over water. She moved the compass slowly. The needle tracked, unwavering, toward a section of tiled wall twenty feet away where a steel maintenance door was chained and padlocked. A faded sign above read ‘BEWARE OF TRAINS’ in Transport for London sans-serif. The chain had a layer of rust that looked decades thick, but the floor told a different story. Quinn swept her torch low. A fan of scuff marks marred the dust, curving from the tracks directly to that door. Dozens of shoes had smoothed a path that ended at a seam so fine she nearly missed it—a hairline rectangle etched into the tile, the exact dimensions of a modern fire door. “What do you see?” Eva had come up beside her, satchel slung across her chest. She smelled of old paper and cardamom tea. “Someone cleaned up. The blood’s too contained for a killing done here. No spatter, no cast-off. Yet the wound is fresh enough that lividity hasn’t set—the body was moved within the last hour. His shoes are clean. So’s the floor leading to that door. But the rest of the platform has a two-inch coat of grime. That means people walk this route regularly. Recently.” Quinn pressed a gloved thumb along the hairline crack. “There’s a draught.” A cold current slipped through the seam, carrying a trace of ozone and roasted meat. The compass needle twitched harder. Eva shook her head. “You’re describing a hidden door. That’s an old maintenance hatch. The museum’s archives have maps of these deep-level shelters from the war. Nothing behind that wall but clay and the old Fleet sewer.” “Maps can be altered. So can walls.” Quinn turned the bone token over in her other hand, matching its worn quadrant to a faint indentation in the tile just left of the doorframe—a depression no wider than a pound coin, its bottom lined with spiral grooves that echoed the token’s carvings perfectly. She didn’t insert it. Not yet. “Look at the wear pattern. This token’s been turned in a socket hundreds of times, always the same grip, same angle. It’s a key, and it opens this.” Eva tucked another curl behind her ear, a gesture Quinn already read as internal argument. “That doesn’t explain the iconography. It’s a binding rune. If you’re right, and this is an access token, then whatever it opens was never meant to be a marketplace. It was meant to be a prison.” Quinn tucked the token into an evidence bag and pocketed the compass. “Those aren’t mutually exclusive.” She signaled to the PC by the ticket booth. “Get me a locksmith and a full forensic team. I want every inch of this wall photographed and dusted. No one touches that door until I say so.” The PC jogged up the stairs. Quinn turned back to Eva, who was staring at the hidden seam with an expression that didn’t match her academic scepticism. It was closer to recognition. “You know something,” Quinn said. Not a question. Eva didn’t meet her eyes. “I know that there are places in London that don’t appear on any map. Private markets. They move every full moon, and they trade in things the museums lock in their restricted archives. If your victim walked out of one and got his throat cut, then the people running it will vanish before sunrise.” She pulled her satchel tight. “This door won’t be here tomorrow.” Quinn looked at the compass needle, still quivering toward the hidden threshold, and at the blood pooling where it shouldn’t be under a dead man who wore a cashmere rollneck and carried a trinket worth more than a year of her salary. The evidence was telling a story no one else down here had read. “Then I’d better have a look tonight,” she said.
created_at"2026-04-25T14:41:56.81Z" 4/25/2026, 2:41:56 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency927
moderation_latency(null)
generation_time128609
tokens_prompt1149
tokens_completion5064
native_tokens_prompt1033
native_tokens_completion4378
native_tokens_completion_images(null)
native_tokens_reasoning2566
native_tokens_cached1024
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"
usage0.003849895
router(null)
provider_responses
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endpoint_id"13bda129-f8a6-4a60-b1db-98082e5f7ccd"
is_byokfalse
latency108
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"Together"
status429
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endpoint_id"d084170b-dd99-4e53-9ae1-b63881f3cfbf"
id"f8a7e979-6c27-454c-afa7-c2c6debdfdbb"
is_byokfalse
latency280
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777128116-sFZuqVBYblibm8Iamg9d"
session_id(null)
api_type"completions"
id"gen-1777128116-eD66K2jLAxWsqCosIkhX"
upstream_id"f8a7e979-6c27-454c-afa7-c2c6debdfdbb"
total_cost0.003849895
cache_discount0.00040832
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags15
adverbTagCount0
adverbTags(empty)
dialogueSentences26
tagDensity0.577
leniency1
rawRatio0
effectiveRatio0
92.70% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1369
totalAiIsmAdverbs2
found
0
adverb"slowly"
count1
1
adverb"perfectly"
count1
highlights
0"slowly"
1"perfectly"
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)
74.43% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1369
totalAiIsms7
found
0
word"chill"
count1
1
word"marble"
count1
2
word"absolutely"
count1
3
word"etched"
count2
4
word"unwavering"
count1
5
word"echoed"
count1
highlights
0"chill"
1"marble"
2"absolutely"
3"etched"
4"unwavering"
5"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
narrationSentences71
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences71
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences83
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen76
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1363
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions35
wordCount930
uniqueNames11
maxNameDensity1.72
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Camden1
High1
Street1
Harlow1
Quinn16
Northern1
Line1
Kowalski1
British1
Museum1
Eva10
persons
0"Harlow"
1"Quinn"
2"Kowalski"
3"Eva"
places
0"Camden"
1"High"
2"Street"
globalScore0.64
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences50
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1363
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences83
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs28
mean48.68
std30.83
cv0.633
sampleLengths
095
183
271
316
449
553
617
737
8115
93
1049
1141
1210
1326
1467
15111
1623
1776
1820
1937
2086
2151
2253
2332
248
2570
2655
279
90.44% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences71
matches
0"been rubbed"
1"was etched"
2"was chained"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs140
matches
0"was staring"
1"was telling"
5.16% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences83
ratio0.048
matches
0"The air thickened with every step, trading the city’s fry-oil reek for something older—wet limestone and a faint metallic bite that clung to the back of the throat."
1"Not an heirloom—a tool."
2"Dozens of shoes had smoothed a path that ended at a seam so fine she nearly missed it—a hairline rectangle etched into the tile, the exact dimensions of a modern fire door."
3"“Maps can be altered. So can walls.” Quinn turned the bone token over in her other hand, matching its worn quadrant to a faint indentation in the tile just left of the doorframe—a depression no wider than a pound coin, its bottom lined with spiral grooves that echoed the token’s carvings perfectly."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount502
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.025896414342629483
lyAdverbCount4
lyAdverbRatio0.00796812749003984
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences83
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences83
mean16.42
std13.3
cv0.81
sampleLengths
018
131
228
318
413
524
646
75
821
92
1023
1120
1216
138
1425
1516
1637
1716
1814
193
2015
2122
225
2314
2411
2522
266
273
2811
2914
3015
3114
323
3333
3416
358
3621
378
384
397
403
413
4223
4311
4413
4518
466
4719
485
4922
69.88% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.43373493975903615
totalSentences83
uniqueOpeners36
50.51% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences66
matches
0"Even the cleanest slice would"
ratio0.015
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences66
matches
0"Her left wrist, where a"
1"She held a bone token"
2"She tucked a curl behind"
3"Her voice had the clipped"
4"She nodded toward a small"
5"She noted the man’s clothing"
6"Its face was etched with"
7"It swung listlessly, then locked"
8"She moved the compass slowly."
9"She smelled of old paper"
10"She didn’t insert it."
11"She signaled to the PC"
12"It was closer to recognition."
13"She pulled her satchel tight"
ratio0.212
13.03% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences66
matches
0"The rain had stopped an"
1"Detective Harlow Quinn ducked under"
2"The air thickened with every"
3"Her left wrist, where a"
4"The abandoned Northern Line platform"
5"Quinn stepped onto the platform"
6"That figure was not police."
7"Quinn had seen her twice"
8"The museum’s occult researcher had"
9"Quinn walked over, her low"
10"Eva looked up, round glasses"
11"She held a bone token"
12"She tucked a curl behind"
13"Her voice had the clipped"
14"Quinn pulled on nitrile gloves"
15"Eva set the bone token"
16"She nodded toward a small"
17"Quinn peeled back the tarp."
18"The victim was male, late"
19"Throat cut from left to"
ratio0.894
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences66
matches(empty)
ratio0
12.99% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount6
matches
0"The air thickened with every step, trading the city’s fry-oil reek for something older—wet limestone and a faint metallic bite that clung to the back of the thr…"
1"The carving was deep and worn smooth in one quadrant, as if it had been rubbed or inserted into something repeatedly."
2"Its face was etched with sigils that matched nothing in her memory, angular and cramped as insect legs."
3"Dozens of shoes had smoothed a path that ended at a seam so fine she nearly missed it—a hairline rectangle etched into the tile, the exact dimensions of a moder…"
4"Quinn turned back to Eva, who was staring at the hidden seam with an expression that didn’t match her academic scepticism."
5"Quinn looked at the compass needle, still quivering toward the hidden threshold, and at the blood pooling where it shouldn’t be under a dead man who wore a cash…"
91.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount1
matches
0"Quinn walked, her low heels loud on the concrete"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"Quinn pressed (press)"
dialogueSentences26
tagDensity0.154
leniency0.308
rawRatio0.25
effectiveRatio0.077
81.6933%