Run: 2026-04-25-01KQ2EJFHW0CQ9MEEAC0D76AM6

Run Details

Duration:
17m 29s
Cost:
$0.043667
Provider:
Together

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
Detective Harlow Quinn pressed herself flat against the damp brick of the alleyway and counted her breaths. The rain came down in angled sheets, transforming the Soho night into a chaos of neon smears and hissing tires. On Berwick Street, thirty meters east, Tomás Herrera hunched over his phone beneath the sagging awning of a closed tailor’s shop. The green cross of a pharmacy sign opposite pulsed like a heartbeat, strobing across his face. Harlow could make out the Saint Christopher medallion—a tarnished silver oval that bobbed with every shift of his shoulders. He never took it off. She knew; she’d watched him for three weeks. The scar on his left forearm, a pale furrow from a knife attack years ago, glistened under the light as he wiped rain from the screen. Harlow flexed her fingers. Her own left wrist bore a worn leather watch. She checked it: 11:48 p.m. She had been on him since 8:15, when he left the Limehouse warehouse where she’d found the crate of veterinary-grade sedatives and a mattress soaked in something dark. The NHS had fired him three years back; now he stitched up gangsters or worse. But the case had edges she couldn’t get her mind around. Evidence vanished. Witnesses forgot. The same impossible wrongness she’d felt three years ago, the night her partner, Colin Morris, took a bullet in a basement that shouldn’t have existed. She shook the thought off. Focus. She stepped from the alley into the rain. “Tomás Herrera!” Her voice cut through the downpour, sharpened by eighteen years of command. “Metropolitan Police. Don’t move.” He looked up. For a frozen second, his warm brown eyes widened. His hand flew to the medallion—an instinctive clutch, not flight. Then he bolted. Harlow launched after him, boots slapping wet tarmac. No call to dispatch. Comms were unreliable in this part of the city, and backup meant losing him. She couldn’t lose him. Not again. The chase threaded north through the warren of Soho. Herrera ran like a man who knew every shortcut between Berwick and Wardour. He vaulted a bin, jinked left into an alley barely wide enough for his shoulders. Harlow followed, her body moving with the economy of a soldier’s drill. She didn’t feel the burn in her thighs or the bite of the rainwater seeping into her collar. She felt only the distance between them, a space she measured in seconds. “I’m ordering you to stop!” He didn’t acknowledge. His feet found a rhythm, and the Saint Christopher bounced against his sternum. She focused on that medallion—a glint in the dark—and closed. They burst onto Wardour Street. The Raven’s Nest, a bar she’d passed a hundred times but never entered, bled green neon across the pavement. Through its front window, faces turned—shapes caught in candlelight and cigarette smoke. The distinctive sign buzzed overhead as they sprinted beneath it. Harlow registered the bar’s name only because her mind catalogs everything, a reflex she couldn’t kill even in a dead run. Herrera cut diagonally across the street. A black cab’s horn screamed; its tires slid on the wet surface. He made the far pavement and vanished down a concrete stairwell beside a closed stationery shop. The entrance bore a rusted sign: CAMDEN TOWN STATION, sealed by order of London Underground. Harlow had heard stories—junior officers swapping tales of a black market that moved every full moon, an impossible bazaar beneath the abandoned platforms. She had dismissed them as urban legend. Until now. She took the steps two at a time. The rain stopped at the third step, replaced by a cold, mineral stillness that smelled of wet rock and old iron. At the bottom, a concourse opened out: vaulted ceiling smeared with mold, tiles on the floor cracked into mosaic by decades of neglect. A jury-rigged string of LEDs fought the dark, casting jittery shadows. Two hundred feet ahead, Herrera’s silhouette was a cut-out against a giant iron door set into the curved platform wall. That door was wrong. No blueprint Harlow had ever memorized included a two-story vault in this station. It had no handle, no keyhole—only a horizontal slot at waist height, and around its edges, a filigree of symbols that hurt to see. Harlow hurtled toward it. Herrera pulled something from his pocket. A small, pale disc. Even through the distance, the shape and texture screamed bone. Carved human bone. He pressed it into the slot. A green light, the exact shade of the Raven’s Nest neon, bloomed along the seams. The door swung inward without a sound. He slipped through. By the time she was ten feet away, the iron had sealed itself with a clang that vibrated in her teeth. She slammed into the door. The metal was cold beyond the cold of the underground. She clawed at the edges, searched for a seam. Nothing. The emerald glow in the slot was fading. Her own breath came in ragged gasps. She stepped back, scanning the platform with the methodical precision she’d learned in the military. On the tiles, near where Herrera had stood, a second bone token lay half-trampled into the grit. Harlow crouched and picked it up. A human knuckle, shaved flat, drilled, and carved with symbols her eyes couldn’t follow. It was warm—warmer than her own body. She turned it over. On the flat side, a dried smudge of something brown: old blood. Her stomach contracted. She had held evidence like this before. She knew what real evil felt like. Morris’s case file, stamped “unexplained,” weighed in her mind like an anchor. A sound from the other side of the door: a low, busy hum, like a crowd murmuring. Clattering. The smell of spiced meat and ozone seeped through the cracks. Herrera was in there, in whatever place traded in bone and required tokens. If she waited for backup, if she called in a tactical unit, the market would vanish, Herrera would vanish, and the questions would gnaw at her for another three years. She had a choice. Stay in the world she understood, or follow a suspect through a doorway that led to something unexplainable. Harlow checked her watch: 11:58. The leather strap was soaked, sticking to her wrist. She unclipped her holster, pressed her palm flat to the iron, and slid the bone token into the slot. Green light flooded her vision. The door opened. She stepped through.
created_at"2026-04-25T13:51:54.993Z" 4/25/2026, 1:51:54 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency680
moderation_latency(null)
generation_time1046729
tokens_prompt1140
tokens_completion10325
native_tokens_prompt1082
native_tokens_completion9408
native_tokens_completion_images(null)
native_tokens_reasoning8700
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"stop"
usage0.0436674
router(null)
provider_responses
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endpoint_id"d084170b-dd99-4e53-9ae1-b63881f3cfbf"
is_byokfalse
latency273
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"DeepSeek"
status429
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endpoint_id"13bda129-f8a6-4a60-b1db-98082e5f7ccd"
id"ogZTjq7-6z2FuN-9f1dd342832edf5d"
is_byokfalse
latency680
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"Together"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777125114-iFDtrIqxTnBuoYSbSbCf"
session_id(null)
api_type"completions"
id"gen-1777125114-1nDryKgiyE942mFrIiEd"
upstream_id"ogZTjq7-6z2FuN-9f1dd342832edf5d"
total_cost0.0436674
cache_discount(null)
upstream_inference_cost0
provider_name"Together"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1074
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)
62.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1074
totalAiIsms8
found
0
word"pulsed"
count1
1
word"measured"
count1
2
word"glint"
count1
3
word"mosaic"
count1
4
word"vibrated"
count1
5
word"scanning"
count1
6
word"methodical"
count1
7
word"stomach"
count1
highlights
0"pulsed"
1"measured"
2"glint"
3"mosaic"
4"vibrated"
5"scanning"
6"methodical"
7"stomach"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences99
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences99
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences101
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1066
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
97.82% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions43
wordCount1054
uniqueNames17
maxNameDensity1.04
worstName"Harlow"
maxWindowNameDensity1.5
worstWindowName"Harlow"
discoveredNames
Harlow11
Quinn1
Soho2
Berwick2
Street2
Tomás1
Herrera8
Saint2
Christopher2
Limehouse1
Colin1
Morris2
Wardour2
Raven2
Nest2
London1
Underground1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Colin"
7"Morris"
8"Raven"
places
0"Soho"
1"Berwick"
2"Street"
3"Wardour"
4"London"
globalScore0.978
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences69
glossingSentenceCount1
matches
0"felt like"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1066
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences101
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs21
mean50.76
std34.72
cv0.684
sampleLengths
0106
1127
214
318
425
532
680
75
826
967
1081
1183
1245
1375
1472
1572
1672
1722
1833
198
203
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences99
matches
0"was soaked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs167
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount3
flaggedSentences10
totalSentences101
ratio0.099
matches
0"Harlow could make out the Saint Christopher medallion—a tarnished silver oval that bobbed with every shift of his shoulders."
1"She knew; she’d watched him for three weeks."
2"The NHS had fired him three years back; now he stitched up gangsters or worse."
3"His hand flew to the medallion—an instinctive clutch, not flight."
4"She focused on that medallion—a glint in the dark—and closed."
5"Through its front window, faces turned—shapes caught in candlelight and cigarette smoke."
6"A black cab’s horn screamed; its tires slid on the wet surface."
7"Harlow had heard stories—junior officers swapping tales of a black market that moved every full moon, an impossible bazaar beneath the abandoned platforms."
8"It had no handle, no keyhole—only a horizontal slot at waist height, and around its edges, a filigree of symbols that hurt to see."
9"It was warm—warmer than her own body."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1067
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.014058106841611996
lyAdverbCount5
lyAdverbRatio0.004686035613870665
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences101
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences101
mean10.55
std6.88
cv0.652
sampleLengths
017
120
221
316
419
55
68
726
84
99
105
1128
1215
1311
142
152
1625
175
181
198
2014
214
223
239
2410
253
268
274
2814
294
302
319
3213
3315
3412
3518
3613
375
383
3913
4010
415
4219
4312
4410
4521
466
4712
4816
4915
59.74% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.37623762376237624
totalSentences101
uniqueOpeners38
36.23% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences92
matches
0"Then he bolted."
ratio0.011
63.48% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount36
totalSentences92
matches
0"He never took it off."
1"She knew; she’d watched him"
2"Her own left wrist bore"
3"She checked it: 11:48 p.m."
4"She had been on him"
5"She shook the thought off."
6"She stepped from the alley"
7"Her voice cut through the"
8"He looked up."
9"His hand flew to the"
10"She couldn’t lose him."
11"He vaulted a bin, jinked"
12"She didn’t feel the burn"
13"She felt only the distance"
14"He didn’t acknowledge."
15"His feet found a rhythm,"
16"She focused on that medallion—a"
17"They burst onto Wardour Street."
18"He made the far pavement"
19"She had dismissed them as"
ratio0.391
52.39% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences92
matches
0"Detective Harlow Quinn pressed herself"
1"The rain came down in"
2"The green cross of a"
3"Harlow could make out the"
4"He never took it off."
5"She knew; she’d watched him"
6"The scar on his left"
7"Harlow flexed her fingers."
8"Her own left wrist bore"
9"She checked it: 11:48 p.m."
10"She had been on him"
11"The NHS had fired him"
12"The same impossible wrongness she’d"
13"She shook the thought off."
14"She stepped from the alley"
15"Her voice cut through the"
16"He looked up."
17"His hand flew to the"
18"Harlow launched after him, boots"
19"Comms were unreliable in this"
ratio0.815
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences92
matches
0"Even through the distance, the"
1"By the time she was"
2"If she waited for backup,"
ratio0.033
66.87% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount5
matches
0"Harlow could make out the Saint Christopher medallion—a tarnished silver oval that bobbed with every shift of his shoulders."
1"The same impossible wrongness she’d felt three years ago, the night her partner, Colin Morris, took a bullet in a basement that shouldn’t have existed."
2"Harlow had heard stories—junior officers swapping tales of a black market that moved every full moon, an impossible bazaar beneath the abandoned platforms."
3"The rain stopped at the third step, replaced by a cold, mineral stillness that smelled of wet rock and old iron."
4"Stay in the world she understood, or follow a suspect through a doorway that led to something unexplainable."
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
totalTags0
87.9760%