Run: 2026-10-13-01M4TAQG9D6E7E5T80GZ0DFKFC

Run Details

Duration:
49.4s
Cost:
$0.087825
Provider:
Meta

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 hammered the green neon sign above The Raven's Nest and broke into colour across the pavement. Detective Harlow Quinn stood in the doorway of the closed bookshop opposite and watched the bar through water that ran from her cropped salt-and-pepper hair and into her collar. Cars cut through standing water on the Soho street and threw it against shuttered shopfronts. The spray hit her trousers and soaked the leather of her shoes. Her worn leather watch showed eleven forty-three. She turned the face from the neon glare and scanned the bar windows again. The door to the Nest opened. Tomás Herrera stepped out with a medical bag in one hand and a phone pressed to his ear. Rain flattened his short curly hair. His Saint Christopher medallion swung against his wet shirt as he turned toward Brewer Street. Quinn crossed the road between a taxi and a delivery van. Brakes screamed. The taxi driver hit his horn and held it. "Tomás Herrera." Herrera lowered the phone. Warm brown eyes found her. Recognition changed his stance before his face caught up, feet set apart, bag lifted against his ribs like a shield. "Detective Quinn." "You left through the back room ten minutes ago. A bookshelf makes a poor exit when the barman props it open with a crate." "I treat people. That remains the extent of my criminal empire." "A man came out of that room with bandages across his throat and blood through the bandages in two straight lines. You followed with that bag." "He cut himself shaving." "With fangs?" His mouth tightened. He glanced toward the mouth of the alley beside the bar. "Do not." "I have a patient waiting." "You have questions waiting. The same questions from Tuesday, and from the raid on Greek Street where your fingerprints covered a sink full of blood that belonged to no hospital record in London." "People bleed outside hospitals." "Dead people do not walk out of them and order whisky." He ran. Quinn drove after him through rain that stung her face. Herrera vaulted a stack of beer crates at the alley entrance and sent bottles rolling across wet brick. Quinn kicked a crate aside and kept her eyes on the white stripe across the back of his jacket. Her shoes lost grip on a drain cover. She hit the wall with one shoulder, used the impact to turn, and pushed off again. The alley narrowed between kitchen vents blasting steam and bins stacked with fish boxes. Herrera shouldered a chef aside at a rear door. The man spun into Quinn's path with a tray raised in both hands. "Police. Move." The chef pressed his back to the bins. Glass slid from the tray and smashed at Quinn's feet. She cleared the shards and burst onto Old Compton Street as Herrera crossed in front of a bus. Red light washed the road. The bus blocked her view for three counts. She sprinted around its rear and found him again past a crowd spilling from a theatre, coats over heads, programmes turning to pulp in their hands. He cut left toward Charing Cross Road and knocked a woman's umbrella into the gutter. His scar showed when he grabbed a lamppost to make the turn, that long mark along his left forearm shining through rain. Quinn closed the gap to ten paces. "Herrera. Stop now and we talk in a dry room." "You arrested the last man who talked in one of your rooms." "I arrested a man who lied about a corpse." "He walked out of the morgue. That made your paperwork difficult, not his pulse." He reached Tottenham Court Road station and took the stairs three at a time. Quinn followed past the ticket barriers as he vaulted the gate beside a family with suitcases. An Underground worker in an orange vest stepped forward. Herrera showed something small and white between his fingers. The worker stepped back and looked at the floor. Quinn flashed her warrant card. "Which train?" The worker pointed toward the Northern line platform and kept his eyes down. The train stood with its doors open. Herrera entered the last carriage and turned as Quinn reached the platform edge. The doors began to close. She forced her arm between them and dragged herself inside as the warning tone sounded. Passengers stared. Herrera moved through the carriage and took hold of a rail at the far end. "You use police stations, hospitals, morgues. Places with records and exits. That room in the Nest frightened you tonight." "You followed the wrong patient." "I followed you." The train rocked through black tunnels. Quinn kept one hand on the rail and watched water drip from Herrera's bag onto a discarded newspaper. A bite victim who walked. Fingerprints in blood. The room behind a bookshelf. Each fact sat apart from the others and refused the shape her reports demanded. DS Morris had sent her a photograph from a service tunnel three years ago, brick walls and a white token on wet concrete. Dispatch had recovered the image from his phone. The tunnel had held no body, no blood, no camera footage of Morris entering or leaving. His voice on the last recording had named a market before static consumed the rest. Herrera watched her over the heads of passengers. "You think of him on this line." Quinn met his stare. "You know his name. Say it." "Men who chase cures ask for names of the dead. It gives the cure weight." "Who asked for Morris?" The train slowed into Camden Town. Herrera hit the door release before the platform lined up with the carriage. He squeezed through the gap and landed running. Camden High Street smelled of fried onions, wet cardboard and canal water. Market stalls stood under tarpaulins that sagged with rain. Herrera cut through a shuttered row beneath the railway bridge and vanished behind a maintenance door marked with a faded roundel. Quinn reached the door as it swung shut. Her radio gave a burst of static against her chest. "Control, Quinn. Suspect Herrera entered a disused station access off Camden High Street. Request units to the junction with Kentish Town Road." Static answered. Then a voice broke apart into syllables without meaning. "Control, repeat." Rain struck her radio speaker. The door in front of her stood ajar. Warm air pushed through the gap and carried spice, hot metal, candle smoke and a chemical tang that coated her tongue. Herrera's wet footprints crossed the threshold and descended a tiled stairwell lit by bulbs strung on black cable. She drew her baton and pushed the door wide. Victorian tiles covered the walls, cracked cream and green under decades of grime. Posters from concerts twenty years dead curled beside a boarded ticket window. The stairs dropped toward a concourse where voices traded in languages Quinn knew and in cadences her ears tracked without finding words to match. Lamps glowed amber and violet. Cages, jars and cloth-draped tables stood around the edges of a platform stripped of its rails. A woman brushed past a stall with a covered cage held to her chest. Something inside the cage struck the bars once and settled. Herrera descended ahead of her and reached an arch built into the station wall. Black iron gates stood open on either side. A man occupied the space between the gates and the market floor beyond, broad through the chest, with a shaved head and a ledger chained to his belt. He held out one palm toward Herrera. Herrera placed the white object in it. Quinn saw the shape as it passed under a lamp. Bone. Carved at one end into a bird's skull. The gatekeeper closed his fist around the token and stepped aside. Herrera entered the market and vanished behind a stall hung with bottles that held light in their bases, each flame suspended in liquid without a wick. The crowd took him in pieces, shoulder, bag, wet hair, gone. Quinn reached the bottom of the stairs. Her radio produced a flat hiss and died. Her phone showed no signal. Camden High Street lay thirty steps above her, with rain and squad cars and procedures built for streets with names. The gatekeeper turned his palm toward her. "Token." "I am a Metropolitan Police officer. The man who passed here is wanted for questioning in connection with an assault investigation." "This place takes tokens." "Then open a record and write down that you obstructed an officer." He looked at the ledger chained to his belt. He looked at her baton. A smile pulled at one side of his mouth and died before it spread. "Write it in your own book, Detective. Up there." Quinn took her notebook from her coat. Rain from the stairwell had reached its edges despite the roof of the concourse. The pages clung together. "Your name." "Token keeper." "Your real name." "That one spends here." Behind him a vendor lifted a cloth from a tray. Teeth filled the tray in ordered rows, molars and canines and lengths that belonged in no human jaw the NHS taught about. Another stall sold maps with coastlines that shifted under Quinn's gaze as the canvas rippled in air that had no draught. A child led a man by the sleeve past her position. The man turned blind eyes toward Quinn. Scales covered both his eyelids. The child placed a carved token into the gatekeeper's other hand without breaking stride and led the man through. Quinn heard Herrera's voice beyond the bottles stall. She caught two words through the market noise. "How long?" A second voice answered in Spanish. Quinn knew enough to pick out sangre and luna. Blood and moon. Her boot sat on the line where station tile gave way to boards dark with wax and use. The gatekeeper kept his palm open and level. Years of service sat in her posture, in the set of her sharp jaw, in habits drilled through eighteen years of doors she had entered with authority stamped in law. That authority stopped at the iron gates. The crowd beyond them watched her now through gaps in stalls, faces turned, hands paused over goods that no evidence bag in the Met had a label to contain. Morris had stood at an entrance of this kind. His last photograph showed a token on concrete. No return. No body. The file bore stamps and signatures and a conclusion built from absence because the service had no form for the rest. The gatekeeper shifted his weight. "Token or stairs, Detective." Quinn reached into the wet along the stair wall where Herrera's bag had struck as he descended. Her fingers found a hard shape wedged between broken tiles. She pulled it free. A bone token filled her palm, smaller than Herrera's, carved with a closed eye. She held it between her fingers over the gatekeeper's open hand and looked past him toward the stall where Herrera's voice had risen.
created_at"2026-10-13T09:50:33.784Z" 10/13/2026, 9:50:33 AM
model"meta/muse-wonder-20261012"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2357
moderation_latency(null)
generation_time49310
tokens_prompt1104
tokens_completion2799
native_tokens_prompt1003
native_tokens_completion4237
native_tokens_completion_images0
native_tokens_reasoning1917
native_tokens_cached244
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"auto"
usage0.0878248
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791885033-Yrtfixu1hUWYmxghJavd"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791885033-zZGPNxZv8OAqCnBkkoZA"
upstream_id"resp_6acdfeea1a1c766800a14718"
provider_responses
0
endpoint_id"1232618d-ebfe-4338-9b68-d9127a57c8dd"
id"resp_6acdfeea1a1c766800a14718"
is_byokfalse
latency587
model_permaslug"meta/muse-wonder-20261012"
provider_name"Meta"
status200
total_cost0.0878248
cache_discount0.0009272
upstream_inference_cost0
provider_name"Meta"
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
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1831
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)
89.08% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1831
totalAiIsms4
found
0
word"scanned"
count1
1
word"pulse"
count1
2
word"weight"
count2
highlights
0"scanned"
1"pulse"
2"weight"
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
narrationSentences133
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences133
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences171
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
totalWords1831
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
77.10% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions80
wordCount1509
uniqueNames26
maxNameDensity1.46
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Raven1
Nest2
Harlow1
Quinn22
Soho1
Herrera21
Saint1
Christopher1
Brewer1
Street4
Old1
Compton1
Charing1
Cross1
Road2
Tottenham1
Court1
Underground1
Northern1
Morris3
Camden3
Town1
High2
Spanish1
Met1
Rain4
persons
0"Raven"
1"Harlow"
2"Quinn"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
7"Rain"
places
0"Soho"
1"Brewer"
2"Street"
3"Old"
4"Compton"
5"Charing"
6"Cross"
7"Road"
8"Tottenham"
9"Court"
10"Northern"
11"Camden"
12"Town"
13"High"
14"Spanish"
globalScore0.771
windowScore0.833
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
wordCount1831
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences171
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs81
mean22.6
std23.07
cv1.021
sampleLengths
073
121
245
322
42
529
62
724
811
926
104
112
1214
132
145
1533
164
1711
182
1971
2036
212
2236
2354
2429
2510
2612
279
2814
2957
305
312
3213
3357
3419
355
363
3751
3862
398
407
414
426
4315
444
4527
4642
4718
4822
4911
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences133
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs260
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences171
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1513
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.009253139458030404
lyAdverbCount2
lyAdverbRatio0.0013218770654329147
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences171
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences171
mean10.71
std6.97
cv0.651
sampleLengths
017
129
215
312
47
514
66
718
86
915
1011
112
129
132
144
155
1620
172
1824
1911
2026
214
222
233
2411
252
265
2733
284
2911
302
3110
3218
3319
348
3516
3614
379
3813
392
408
4110
4218
435
448
4526
4615
4722
487
4910
54.39% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.3508771929824561
totalSentences171
uniqueOpeners60
26.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences126
matches
0"Then a voice broke apart"
ratio0.008
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences126
matches
0"Her worn leather watch showed"
1"She turned the face from"
2"His Saint Christopher medallion swung"
3"His mouth tightened."
4"He glanced toward the mouth"
5"Her shoes lost grip on"
6"She hit the wall with"
7"She cleared the shards and"
8"She sprinted around its rear"
9"He cut left toward Charing"
10"His scar showed when he"
11"He reached Tottenham Court Road"
12"She forced her arm between"
13"His voice on the last"
14"He squeezed through the gap"
15"Her radio gave a burst"
16"She drew her baton and"
17"He held out one palm"
18"Her radio produced a flat"
19"Her phone showed no signal."
ratio0.222
3.65% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount115
totalSentences126
matches
0"Detective Harlow Quinn stood in"
1"Cars cut through standing water"
2"The spray hit her trousers"
3"Her worn leather watch showed"
4"She turned the face from"
5"The door to the Nest"
6"Tomás Herrera stepped out with"
7"Rain flattened his short curly"
8"His Saint Christopher medallion swung"
9"Quinn crossed the road between"
10"The taxi driver hit his"
11"Herrera lowered the phone."
12"Recognition changed his stance before"
13"His mouth tightened."
14"He glanced toward the mouth"
15"Quinn drove after him through"
16"Herrera vaulted a stack of"
17"Quinn kicked a crate aside"
18"Her shoes lost grip on"
19"She hit the wall with"
ratio0.913
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences126
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences66
technicalSentenceCount1
matches
0"Detective Harlow Quinn stood in the doorway of the closed bookshop opposite and watched the bar through water that ran from her cropped salt-and-pepper hair and…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
88.3558%