Run: 2026-10-13-01M4TBZDK2700CEGEZG2Q2F64S

Run Details

Duration:
1m 31s
Cost:
$0.067319
Provider:
Fireworks

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
The man in the waxed jacket vaulted the railing on Parkway and Quinn went over after him, shoulder tucked, boots skidding on the wet tarmac. Rain sheeted off the shop awnings and turned the gutters into black rivers. He was fast. She'd give him that. Three hours she'd sat on the Raven's Nest watching the green neon smear across the puddles, three hours of nothing, and then this one had walked out with a parcel under his arm and clocked her car inside thirty seconds. He'd dumped the moped at Camden Lock and gone on foot. So had she. "Stop! Police!" He didn't. They never did. He cut through the night market, shouldering past a cluster of students under a shared umbrella, and Quinn bulled through the gap he made, warrant card still in her fist, her cropped hair plastered flat by the rain. "Coming through! Move!" A stallholder yanked his rack of leather jackets back from her elbow. She caught a flash of the man's face as he glanced behind — young, pale, frightened, which was worse than guilty. Frightened men did stupid things. Her radio crackled against her collar. "Quinn, actual. SITREP." "In foot pursuit, male suspect, heading south off Camden High Street. I need units on the canal side." "Nearest unit four minutes. Do not pursue alone. Repeat, do not—" She thumbed it off. Four minutes. She'd heard that before, in a stairwell in Whitechapel three years back, while Morris bled out on concrete from a wound the pathologist's report had described in words no pathologist should use. Four minutes was a lifetime. Four minutes was a funeral. The suspect broke left, off the lit street, down a cobbled ramp toward a building Quinn knew from the A-to-Z and nowhere else. A dead Tube station. Boarded since before she'd joined the Met, its roundel painted over, its grille rusted shut. Except the grille wasn't shut. A maintenance door stood ajar beside it, and a man sat on a camp stool in the gap, swaddled in a hi-vis jacket gone grey with age, a bowler hat dry on his head despite the rain. The suspect skidded up, dug in his pocket, and pressed something small and pale into the seated man's palm. A disc. Bone-white, polished like a coin. The seated man turned it over, unimpressed, and jerked his chin at the dark behind him. The suspect vanished through the door. Quinn slowed to a walk. Her heart slammed against her ribs. Her watch, the worn leather strap gone soft as skin on her left wrist, told her backup was still three minutes out. She put her warrant card under the bowler hat's nose. "Metropolitan Police. That man is a suspect in an ongoing investigation. Step aside." The doorkeeper studied the card the way a man studies a menu in a language he doesn't speak. "That tin don't spend here, love." "I won't ask twice." "No, you will. Or you'll go home." He spread his hands, palms up, empty. "Bone for bone. Them's the rules. Same for him, same for you, same for the Queen, God rest her." "I don't know what that means." "Means you need a token, and you haven't got one, and it's a full moon tomorrow so we're gone by morning, which makes tonight your one and only chance." He smiled. He had one tooth too many on the left side. "Lucky for you, first-timers can buy." "Fine." She reached for her purse. "How much?" "Not money." His gaze dropped to her wrist. She covered the watch with her palm. Twenty-two years that strap had circled her arm. It had outlasted the job's first decade, two addresses, every relationship worth the name. She thought of Morris at the bottom of that Whitechapel stairwell, and of the thing she'd told his widow, which was that she'd get answers, which had so far been a lie. She unbuckled it and held it out. The doorkeeper made no move to take it. "Leather's dead cow. Metal's dead earth. That spends." He dropped a bone disc into her hand instead, and it was warm, which it had no business being on a night like this. "Watch stays in the bowl till you come out. You do come out, most times you get it back." "Most times." "Rules inside, constable. Keep your hands where folk can see them. Draw no iron. Buy nothing, touch nothing, and if a stallholder offers you a taste of anything, you decline and walk on." He took the watch at last, folded it into a brass bowl at his feet with a dozen other small, forsaken things. "Mind the gap." Quinn looked through the door. A stairwell dropped away into a dull amber glow, tiled walls sweating, and from below rose a sound she couldn't place at first — then she could, and it was worse: a crowd. Voices. Trade. Hundreds of people, sixty feet under Camden, in a station that had been boarded up for thirty years. Every instinct drilled into her by eighteen years of service said wait. Wait for the units. Wait for light and numbers and a radio signal that reached the surface. The suspect was a courier, not a killer; the parcel mattered more than the man, and the parcel would keep. Then she thought about the pathologist's report, locked in a drawer, and the word the coroner had struck from the record. She thought about how the trail to that word had gone cold the moment she'd been ordered to stop pulling threads. She'd stopped pulling. She'd regretted it every day since. She put the bone token in her fist and went down. The stairs swallowed the rain behind her. Forty steps, sixty, the air warming by degrees, turning close and sweet with smoke that wasn't tobacco. The tiles on the walls were the old oxblood red of the deep lines, but the adverts pasted over them were wrong — no film posters, no West End shows. Hand-lettered bills. LUCK, BOTTLED, ASK FOR MARGERY. TEETH SET WHILE U WAIT. And below, where the platform opened out, the light. The platform had become a bazaar. Stalls ran the length of it, crammed between the pillars, and the old carriages still standing at the dead track had their doors wedged open, each one a shopfront lit by lamps that burned without flame. Quinn filed that away as generators, batteries, clever wiring, and kept moving. A woman behind a trestle of glass jars tracked her with her eyes. Something in the nearest jar tracked her too. Eels, Quinn decided. Specimens. Tricks of the light. "Grave-honey, love? Two drops, dream of the dead." "Police," she said, low, to no one, a habit, a talisman, and pushed on. The crowd parted around her without quite touching her. She read it the way she'd read a thousand crowds — the stallholders' indifference, the punters' wariness — and underneath it all a current she didn't know the name for. Nobody here feared the police. That was new. That was worth knowing. Then she saw the waxed jacket. He stood at a stall built into the arch of a bricked-up tunnel, lit by a surgical lamp on a clamp. A man worked there over a third man's opened arm, needle and gut moving with the calm of long practice, olive-skinned, dark curls falling forward, a small gold medallion swinging from his neck on a chain. A medic. Off the books, by the look of the kit laid out on the velvet — some of it NHS-issue, some of it nothing Quinn recognised from any ambulance. The suspect had the parcel open. He was showing the medic something inside it, urgent, talking fast with his hands. The medic looked up. Not at the parcel. At her. His eyes met hers across forty feet of crowd, warm brown and steady, and held for one beat, two. Then he said something quiet to the man in the waxed jacket without moving his gaze, and the suspect's head came round, and the fear on his face curdled into flight. He bolted. Down the platform, into the thick of the market, knocking a stall of brass instruments into a clangour. Quinn went after him.
created_at"2026-10-13T10:12:21.742Z" 10/13/2026, 10:12:21 AM
model"fireworks/ember-1-20260923"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency501
moderation_latency(null)
generation_time90678
tokens_prompt1104
tokens_completion4970
native_tokens_prompt1087
native_tokens_completion4466
native_tokens_completion_images(null)
native_tokens_reasoning2678
native_tokens_cached1086
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)
usage0.0673188
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791886341-XWJ5JDTySva1obyVubxP"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791886341-6ipsM8Fj7k1z1E0HuFHf"
upstream_id"chatcmpl-81621b5a4e374adfa62837ca9dfa77dc"
provider_responses
0
endpoint_id"b89a2f05-4051-4446-a9b0-7bc8ae7b7c90"
id"chatcmpl-81621b5a4e374adfa62837ca9dfa77dc"
is_byokfalse
latency501
model_permaslug"fireworks/ember-1-20260923"
provider_name"Fireworks"
status200
total_cost0.0673188
cache_discount0.0029322
upstream_inference_cost0
provider_name"Fireworks"
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)
dialogueSentences23
tagDensity0.304
leniency0.609
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1367
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)
92.68% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1367
totalAiIsms2
found
0
word"grave"
count1
1
word"velvet"
count1
highlights
0"grave"
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
narrationSentences97
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences97
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences114
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen55
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1373
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount1149
uniqueNames13
maxNameDensity0.78
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Parkway1
Quinn9
Raven1
Nest1
Camden2
Lock1
Whitechapel2
Morris2
Tube1
Met1
West1
End1
Four3
persons
0"Quinn"
1"Raven"
2"Nest"
3"Morris"
places
0"Camden"
1"Whitechapel"
2"West"
3"End"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1373
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences114
matches
0"was that she'd"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs49
mean28.02
std24.58
cv0.877
sampleLengths
085
114
22
343
43
538
66
73
818
911
1048
1142
1242
1326
1422
1533
1610
1713
1818
196
204
2133
226
2347
248
252
266
2761
287
298
3051
312
3258
3358
3449
3551
3611
3775
3883
398
4014
4151
426
4387
4420
4510
4650
4720
484
98.03% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences97
matches
0"been boarded"
1"been ordered"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs190
matches
0"was showing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount1
flaggedSentences6
totalSentences114
ratio0.053
matches
0"She caught a flash of the man's face as he glanced behind — young, pale, frightened, which was worse than guilty."
1"A stairwell dropped away into a dull amber glow, tiled walls sweating, and from below rose a sound she couldn't place at first — then she could, and it was worse: a crowd."
2"The suspect was a courier, not a killer; the parcel mattered more than the man, and the parcel would keep."
3"The tiles on the walls were the old oxblood red of the deep lines, but the adverts pasted over them were wrong — no film posters, no West End shows."
4"She read it the way she'd read a thousand crowds — the stallholders' indifference, the punters' wariness — and underneath it all a current she didn't know the name for."
5"Off the books, by the look of the kit laid out on the velvet — some of it NHS-issue, some of it nothing Quinn recognised from any ambulance."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount940
adjectiveStacks1
stackExamples
0"Bone-white, polished like"
adverbCount15
adverbRatio0.015957446808510637
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences114
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences114
mean12.04
std10.87
cv0.902
sampleLengths
025
113
23
34
440
511
63
72
82
93
1038
113
1212
1321
145
156
163
1718
1811
194
202
2132
225
235
2423
254
2615
275
2837
2919
302
315
3216
336
345
356
3622
3710
3813
3918
406
414
4214
4319
446
4531
4610
476
486
492
76.02% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.5087719298245614
totalSentences114
uniqueOpeners58
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences86
matches
0"Then she thought about the"
1"Then she saw the waxed"
2"Then he said something quiet"
ratio0.035
75.81% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences86
matches
0"He was fast."
1"She'd give him that."
2"He'd dumped the moped at"
3"They never did."
4"He cut through the night"
5"She caught a flash of"
6"Her radio crackled against her"
7"She thumbed it off."
8"She'd heard that before, in"
9"Her heart slammed against her"
10"Her watch, the worn leather"
11"She put her warrant card"
12"He spread his hands, palms"
13"He had one tooth too"
14"She reached for her purse"
15"His gaze dropped to her"
16"She covered the watch with"
17"It had outlasted the job's"
18"She thought of Morris at"
19"She unbuckled it and held"
ratio0.36
70.47% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount67
totalSentences86
matches
0"The man in the waxed"
1"Rain sheeted off the shop"
2"He was fast."
3"She'd give him that."
4"He'd dumped the moped at"
5"They never did."
6"He cut through the night"
7"A stallholder yanked his rack"
8"She caught a flash of"
9"Her radio crackled against her"
10"She thumbed it off."
11"She'd heard that before, in"
12"The suspect broke left, off"
13"A dead Tube station."
14"A maintenance door stood ajar"
15"The suspect skidded up, dug"
16"The seated man turned it"
17"The suspect vanished through the"
18"Quinn slowed to a walk."
19"Her heart slammed against her"
ratio0.779
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences86
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount0
matches(empty)
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
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences23
tagDensity0.043
leniency0.087
rawRatio0
effectiveRatio0
90.2339%